JPH08237810A - Hybrid vehicle - Google Patents

Hybrid vehicle

Info

Publication number
JPH08237810A
JPH08237810A JP6499695A JP6499695A JPH08237810A JP H08237810 A JPH08237810 A JP H08237810A JP 6499695 A JP6499695 A JP 6499695A JP 6499695 A JP6499695 A JP 6499695A JP H08237810 A JPH08237810 A JP H08237810A
Authority
JP
Japan
Prior art keywords
battery
remaining amount
time
destination
battery remaining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP6499695A
Other languages
Japanese (ja)
Inventor
Shuzo Moroto
脩三 諸戸
Takahiro Iwami
隆広 岩見
Hideki Nakajima
秀樹 中島
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Equos Research Co Ltd
Original Assignee
Equos Research Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Equos Research Co Ltd filed Critical Equos Research Co Ltd
Priority to JP6499695A priority Critical patent/JPH08237810A/en
Priority to US08/603,324 priority patent/US5892346A/en
Publication of JPH08237810A publication Critical patent/JPH08237810A/en
Priority to JP2003105943A priority patent/JP3539497B2/en
Pending legal-status Critical Current

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W20/00Control systems specially adapted for hybrid vehicles
    • B60W20/10Controlling the power contribution of each of the prime movers to meet required power demand
    • B60W20/12Controlling the power contribution of each of the prime movers to meet required power demand using control strategies taking into account route information
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60KARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K6/00Arrangement or mounting of plural diverse prime-movers for mutual or common propulsion, e.g. hybrid propulsion systems comprising electric motors and internal combustion engines
    • B60K6/20Arrangement or mounting of plural diverse prime-movers for mutual or common propulsion, e.g. hybrid propulsion systems comprising electric motors and internal combustion engines the prime-movers consisting of electric motors and internal combustion engines, e.g. HEVs
    • B60K6/42Arrangement or mounting of plural diverse prime-movers for mutual or common propulsion, e.g. hybrid propulsion systems comprising electric motors and internal combustion engines the prime-movers consisting of electric motors and internal combustion engines, e.g. HEVs characterised by the architecture of the hybrid electric vehicle
    • B60K6/48Parallel type
    • B60K6/485Motor-assist type
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L15/00Methods, circuits, or devices for controlling the traction-motor speed of electrically-propelled vehicles
    • B60L15/20Methods, circuits, or devices for controlling the traction-motor speed of electrically-propelled vehicles for control of the vehicle or its driving motor to achieve a desired performance, e.g. speed, torque, programmed variation of speed
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L50/00Electric propulsion with power supplied within the vehicle
    • B60L50/10Electric propulsion with power supplied within the vehicle using propulsion power supplied by engine-driven generators, e.g. generators driven by combustion engines
    • B60L50/16Electric propulsion with power supplied within the vehicle using propulsion power supplied by engine-driven generators, e.g. generators driven by combustion engines with provision for separate direct mechanical propulsion
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/63Monitoring or controlling charging stations in response to network capacity
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • B60L58/13Maintaining the SoC within a determined range
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W10/00Conjoint control of vehicle sub-units of different type or different function
    • B60W10/04Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
    • B60W10/08Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of electric propulsion units, e.g. motors or generators
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W10/00Conjoint control of vehicle sub-units of different type or different function
    • B60W10/24Conjoint control of vehicle sub-units of different type or different function including control of energy storage means
    • B60W10/26Conjoint control of vehicle sub-units of different type or different function including control of energy storage means for electrical energy, e.g. batteries or capacitors
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/0097Predicting future conditions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3469Fuel consumption; Energy use; Emission aspects
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0217Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with energy consumption, time reduction or distance reduction criteria
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or discharging batteries or for supplying loads from batteries
    • H02J7/855Circuit arrangements for charging or discharging batteries or for supplying loads from batteries with circuits adapted for supplying loads from the battery
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or discharging batteries or for supplying loads from batteries
    • H02J7/90Regulation of charging or discharging current or voltage
    • H02J7/96Regulation of charging or discharging current or voltage in response to battery voltage
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/60Navigation input
    • B60L2240/62Vehicle position
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2250/00Driver interactions
    • B60L2250/16Driver interactions by display
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W20/00Control systems specially adapted for hybrid vehicles
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • B60W2050/146Display means
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2510/00Input parameters relating to a particular sub-units
    • B60W2510/24Energy storage means
    • B60W2510/242Energy storage means for electrical energy
    • B60W2510/244Charge state
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2556/00Input parameters relating to data
    • B60W2556/45External transmission of data to or from the vehicle
    • B60W2556/50External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/40Engine management systems
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/62Hybrid vehicles
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/64Electric machine technologies in electromobility
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/72Electric energy management in electromobility
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/80Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
    • Y02T10/84Data processing systems or methods, management, administration
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/14Plug-in electric vehicles
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/126Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S903/00Hybrid electric vehicles, HEVS
    • Y10S903/902Prime movers comprising electrical and internal combustion motors
    • Y10S903/903Prime movers comprising electrical and internal combustion motors having energy storing means, e.g. battery, capacitor

Landscapes

  • Engineering & Computer Science (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Power Engineering (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Human Computer Interaction (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Hybrid Electric Vehicles (AREA)
  • Control Of Vehicle Engines Or Engines For Specific Uses (AREA)
  • Navigation (AREA)

Abstract

(57)【要約】 【目的】 バッテリの容量を可能な限り使用することに
より、低公害、省エネルギを達成し得るハイブリッド車
両を提供する。 【構成】 ナビゲーションECU30が、充電を行った
出発地と、途中立ち寄る中継地と、充電を行う目的地と
に関するスケジュールを入力し(S12)、この出発
地、中継地及び目的地の位置から、充電を行った出発地
から充電を行う目的地までの走行距離を算出し(S1
6)、算出した距離に基づき、バッテリ残量を割り振
り、走行距離当たりの電力消費量を設定する(S2
0)。そして、車両ECU20が、設定された電力使用
量に基づきバッテリ18の電力をモータ12へ供給する
(57) [Abstract] [Purpose] To provide a hybrid vehicle that can achieve low pollution and energy saving by using the capacity of a battery as much as possible. [Construction] The navigation ECU 30 inputs a schedule regarding a charging start point, a stopping point on the way, and a charging destination (S12), and the charging is started from the positions of the starting point, the stopping point and the destination. Calculate the distance traveled from the starting point to the charging destination (S1
6) Based on the calculated distance, the remaining battery amount is allocated and the power consumption amount per traveling distance is set (S2).
0). Then, the vehicle ECU 20 supplies the electric power of the battery 18 to the motor 12 based on the set electric power consumption amount.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は、燃料を用いる駆動機関
とバッテリに蓄積された電力とにより走行するハイブリ
ッド車両に関するものである。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a hybrid vehicle that runs on a drive engine that uses fuel and electric power stored in a battery.

【0002】[0002]

【従来の技術】現在、無公害、省エネルギの観点から電
気自動車の実用化に向けての研究がなされている。ここ
で、電気自動車が内燃機関を用いる自動車に対して大き
く劣る点は、内燃機関式車両は、無給油で数100Km走
行し得るのに対して、電気自動車は数100Km走行し得
るだけの電力をバッテリに蓄積すると重量が非常に重く
なり、重量を実用に耐え得るように抑えると走行距離が
短くなる点にある。そして、走行距離が短いと路上で停
止する蓋然性が高くなるが、内燃機関式車両は数分で給
油が完了できるのに対して、電気自動車の充電には数時
間を要する点にある。また、電気自動車は、走行時に排
気ガスを放出しないが、走行距離を実用に耐え得るよう
に長くするためにはバッテリが重くなり、内燃機関式車
両に対してむしろエネルギの消費量が実用上は大きくな
った。
2. Description of the Related Art Currently, research is being conducted toward the practical application of electric vehicles from the viewpoints of pollution-free and energy saving. Here, an electric vehicle is significantly inferior to a vehicle using an internal combustion engine in that an internal combustion engine type vehicle can run for several hundred kilometers without lubrication, whereas an electric vehicle can supply several hundred kilometers of electric power. When it is stored in the battery, the weight becomes very heavy, and if the weight is suppressed so that it can be practically used, the traveling distance becomes short. When the traveling distance is short, the probability of stopping on the road is high. However, the internal combustion engine type vehicle can complete refueling in a few minutes, but it takes several hours to charge the electric vehicle. In addition, an electric vehicle does not emit exhaust gas when it travels, but the battery becomes heavy in order to lengthen the traveling distance so that it can be used practically. It got bigger.

【0003】かかる電気自動車の問題を解決するため
に、電気自動車の動力源の補機として内燃機関を搭載し
たハイブリッド車両が開発されている。このハイブリッ
ド車両には、バッテリ容量が無くなった際に、内燃機関
により走行するタイプが初期に提案された。現在、ハイ
ブリッド車両に改良が加えられ、内燃機関の出力とモー
タの出力とを組み合わせ、加速時等のトルクを必要とす
るときに内燃機関により出力を発生させ、或いは、内燃
機関を最も燃料効率の良いように制御し、必要とするト
ルクをモータにより発生させることにより、バッテリの
みによる電気自動車は勿論のこと、既存の内燃機関より
も効率の高いものが開発されている。
In order to solve the problem of the electric vehicle, a hybrid vehicle equipped with an internal combustion engine as an auxiliary machine for a power source of the electric vehicle has been developed. For this hybrid vehicle, a type in which the vehicle was driven by an internal combustion engine when the battery capacity was exhausted was initially proposed. Currently, improvements have been made to hybrid vehicles to combine the output of the internal combustion engine and the output of the motor to generate output by the internal combustion engine when torque is required during acceleration, or to make the internal combustion engine most fuel efficient. By controlling well and generating a required torque by a motor, not only electric vehicles using only a battery but also a vehicle with higher efficiency than existing internal combustion engines have been developed.

【0004】[0004]

【発明が解決しようとする課題】このハイブリッド車両
において、バッテリの容量は次回の充電の際までに使い
切ることが、低公害、省エネルギの観点から理想的であ
る。反面、バッテリの容量を走行中に使い切ると、内燃
機関のみにより車両を駆動することになり、低公害、省
エネルギという点のみならず、該車両が発生し得る出力
が内燃機関のみに頼るため低下して、該ハイブリッド車
両の走行性能をも劣化させた。このため、ハイブリッド
車両では、バッテリの容量が走行中に無くなることがな
いように使用しており、ハイブリッド車両の低公害、省
エネルギに関する理論的上限値までは使い得なかった。
In this hybrid vehicle, it is ideal that the battery capacity be used up by the next charging, from the viewpoint of low pollution and energy saving. On the other hand, if the battery capacity is exhausted during traveling, the vehicle will be driven only by the internal combustion engine, and not only low pollution and energy saving but also the output that can be generated by the vehicle depends on only the internal combustion engine. Then, the running performance of the hybrid vehicle was also deteriorated. For this reason, the hybrid vehicle is used so that the capacity of the battery does not run out during traveling, and it has not been possible to use the theoretical upper limit value regarding low pollution and energy saving of the hybrid vehicle.

【0005】本発明は、上述した課題を解決するために
なされたものであり、その目的とするところは、バッテ
リの容量を可能な限り使用することにより、低公害、省
エネルギを達成し得るハイブリッド車両を提供すること
にある。
The present invention has been made to solve the above-mentioned problems, and an object of the present invention is to use a battery capacity as much as possible to achieve low pollution and energy saving. To provide a vehicle.

【0006】[0006]

【課題を解決するための手段】上記の目的を達成するた
め、請求項1のハイブリッド車両では、燃料を用いる駆
動機関と、バッテリに充電された電力によってモータを
駆動するモータ駆動装置とを有し、 バッテリ残量を検
出するバッテリ残量検出手段と、充電を行った出発地
と、途中立ち寄る中継地と、充電を行う目的地との位置
に関する情報を保持する位置保持手段と、該位置保持手
段に保持されている出発地、中継地及び目的地の位置か
ら、充電を行った出発地から充電を行う目的地までの走
行距離を算出する距離算出手段と、該距離算出手段によ
り算出された距離に基づき、前記バッテリ残量検知手段
により検知されたバッテリ残量を割り振り、走行距離当
たりの電力消費量を決定する電力消費量決定手段とを有
し、前記モータ駆動装置が、該電力消費量決定手段によ
り決定された電力使用量に基づきバッテリの電力をモー
タへ供給することを要旨とする。
In order to achieve the above object, a hybrid vehicle according to a first aspect of the present invention has a drive engine that uses fuel and a motor drive device that drives a motor with electric power charged in a battery. A battery remaining amount detecting means for detecting a battery remaining amount, a charging starting point, a stop point on the way, and a position holding means for holding information on positions of a charging destination, and the position holding means Distance calculating means for calculating the traveling distance from the charged starting point to the charging destination based on the positions of the starting point, the relay point and the destination held in, and the distance calculated by the distance calculating means. And a power consumption determining means for allocating the remaining battery capacity detected by the remaining battery capacity detecting means, and determining the power consumption per mileage. The apparatus supplies the electric power of the battery to the motor on the basis of the electric power consumption determined by the electric power consumption determining means.

【0007】また、請求項2では、請求項1において、
前記電力消費量決定手段が、バッテリ残量を算出された
走行距離で割り、走行距離当たりの電力消費量を決定す
ることを要旨とする。
[0007] According to a second aspect, in the first aspect,
The gist is that the power consumption determining means divides the battery remaining amount by the calculated travel distance to determine the power consumption per travel distance.

【0008】上記の目的を達成するため、請求項3のハ
イブリッド車両では、燃料を用いる駆動機関と、バッテ
リに充電された電力によってモータを駆動するモータ駆
動装置とを有し、 バッテリ残量を検出するバッテリ残
量検出手段と、今回充電を行った出発地と、今回途中立
ち寄る中継地と、今回充電を行う目的地との位置に関す
る情報と、次回の出発地と、次回途中立ち寄る中継地
と、次回の充電を行う目的地との位置に関する情報と、
を保持する位置保持手段と、今回行う充電時間が、バッ
テリを容量零から満充電させ得る時間未満かを判断する
充電時間判断手段と、該位置保持手段に保持されている
今回の出発地、中継地及び目的地の位置から、今回充電
を行った出発地から今回充電を行う目的地までの走行距
離と、次回の出発地、中継地及び目的地の位置から、次
回の出発地から次回充電を行う目的地までの走行距離と
を算出する距離算出手段と、前記充電時間判断手段が、
今回の充電時間をバッテリの満充電時間未満であると判
断した場合に、前記距離算出手段によって算出された今
回の走行距離と次回の走行距離とを比較し、次回の走行
距離が長い際には、今回の走行距離と次回の走行距離と
の比較に応じて、今回走行時のバッテリ残量を決定する
バッテリ残量決定手段と、前記バッテリ残量検知手段に
より検知されたバッテリ残量から、該バッテリ残量決定
手段により決定されたバッテリ残量を引いた量を、前記
距離算出手段により算出された今回の走行距離に基づき
割り振り走行距離当たりの電力消費量を決定する電力消
費量決定手段とを有し、前記モータ駆動装置が、該電力
消費量決定手段により決定された電力使用量に基づきバ
ッテリの電力をモータに供給することを要旨とする。
In order to achieve the above object, a hybrid vehicle according to a third aspect of the present invention includes a drive engine that uses fuel and a motor drive device that drives a motor with electric power charged in a battery, and detects the remaining battery level. Battery remaining amount detecting means, information about the position of the starting point for charging this time, the stop point for stopping this time, and the destination for charging this time, the next starting point, and the stop point for stopping next time, Information about the location with the destination to charge next time,
Position holding means, a charging time determination means for determining whether or not the charging time to be performed this time is less than a time at which the battery can be fully charged from zero capacity, and the current departure point and relay held in the position holding means. From the location of the place and destination to the destination of the current charging from the location of the current charging to the destination of the current charging, and the location of the next starting point, relay point and destination Distance calculation means for calculating the travel distance to the destination to perform, and the charging time determination means,
When it is determined that the current charging time is less than the full charge time of the battery, the current traveling distance calculated by the distance calculating means and the next traveling distance are compared, and when the next traveling distance is long, The battery remaining amount determining means for determining the battery remaining amount at the time of the current traveling in accordance with the comparison between the current traveling distance and the next traveling distance, and the battery remaining amount detected by the battery remaining amount detecting means, And a power consumption amount determining means for allocating an amount obtained by subtracting the battery remaining amount determined by the battery remaining amount determining means, based on the current traveling distance calculated by the distance calculating means, and determining the power consumption amount per traveling distance. The present invention is characterized in that the motor drive device supplies the electric power of the battery to the motor based on the electric power consumption determined by the electric power consumption determining means.

【0009】また、請求項4では、請求項3において、
前記電力消費量決定手段が、前記バッテリ残量検知手段
により検知されたバッテリ残量から、該バッテリ残量決
定手段により決定されたバッテリ残量を引いた量を今回
の走行距離で割り、走行距離当たりの電力消費量を決定
することを要旨とする。
According to claim 4, in claim 3,
The power consumption determining means divides the amount obtained by subtracting the battery remaining amount determined by the battery remaining amount determining device from the battery remaining amount detected by the battery remaining amount detecting device by the current traveling distance to obtain the traveling distance. The point is to determine the power consumption per unit.

【0010】また、請求項5では、請求項3又は4にお
いて、前記バッテリ残量決定手段が、今回走行時のバッ
テリ残量を今回の充電時間により満充電させ得るように
決定することを要旨とする。
A fifth aspect of the present invention is that, in the third or fourth aspect, the battery remaining amount determining means determines that the battery remaining amount during the current traveling can be fully charged by the current charging time. To do.

【0011】[0011]

【作用】請求項1のハイブリッド車両では、距離算出手
段が位置保持手段に保持されている出発地、中継地及び
目的地の位置から、充電を行った出発地から充電を行う
目的地までの走行距離を算出する。引き続き、電力消費
量決定手段が、距離算出手段により算出された走行距離
に基づき、バッテリ残量検知手段により検知されたバッ
テリ残量を割り振り走行距離当たりの電力消費量を決定
する。そして、モータ駆動装置が、電力消費量決定手段
により決定された電力使用量に基づきバッテリの電力を
モータに供給する。このため、バッテリの残量を、次に
充電を行う目的地に到着するまでの間に効率良く使用す
ることができる。
In the hybrid vehicle according to the first aspect of the present invention, the distance calculation means travels from the starting point, the relay point and the destination position held by the position holding means to the charging destination to the charging destination. Calculate the distance. Subsequently, the power consumption determining unit allocates the battery remaining amount detected by the battery remaining amount detecting unit based on the traveling distance calculated by the distance calculating unit to determine the power consumption amount per traveling distance. Then, the motor drive device supplies the electric power of the battery to the motor based on the electric power consumption determined by the electric power consumption determining means. Therefore, the remaining amount of the battery can be efficiently used before the vehicle arrives at the next charging destination.

【0012】請求項2のハイブリッド車両では、電力消
費量決定手段が、バッテリ残量を算出された走行距離で
割り、走行距離当たりの電力消費量を決定するため、充
電を行う目的地に到達した時点において、バッテリに保
持されている電力を使い切ることができる。
In the hybrid vehicle of the second aspect, the power consumption determining means divides the battery remaining amount by the calculated mileage to determine the power consumption per mile, so that the vehicle reaches the destination for charging. At this point, the power retained in the battery can be used up.

【0013】請求項3のハイブリッド車両では、距離算
出手段が、位置保持手段に保持されている今回の出発
地、中継地及び目的地の位置から、今回充電を行った出
発地から今回充電を行う目的地までの走行距離と、次回
の出発地、中継地及び目的地の位置から、次回出発地か
ら次回充電を行う目的地までの走行距離とを算出する。
そして、充電時間判断手段が今回の充電時間をバッテリ
の満充電時間未満であると判断した場合に、バッテリ残
量決定手段が、今回の走行距離と次回の走行距離とを比
較し、次回の走行距離が今回よりも長いときには、今回
の走行距離と次回の走行距離との比較に応じて、今回走
行時のバッテリ残量を決定する。引き続き、電力消費量
決定手段が、バッテリ残量検知手段により検知されたバ
ッテリ残量から、該バッテリ残量決定手段により決定さ
れたバッテリ残量を引いた量を、前記距離算出手段によ
り算出された今回の走行距離に基づき割り振り、走行距
離当たりの電力消費量を決定する。そして、モータ駆動
装置が、該電力消費量決定手段により決定された電力使
用量に基づきバッテリの電力をモータに供給する。この
ため、今回の充電時間がバッテリを容量零から満充電さ
せるための時間よりも短く、且つ、次回の走行距離が今
回の走行距離よりも長い場合には、次回の走行時のため
にバッテリの容量を残すように制御して、全体として効
率的にバッテリの電力を使用する。
According to another aspect of the hybrid vehicle, the distance calculating means charges the current charging position from the starting point, the relay point and the destination position of this time held by the position holding means. From the travel distance to the destination and the positions of the next departure place, the relay place, and the destination, the travel distance from the next departure place to the next charging destination is calculated.
When the charging time determining means determines that the current charging time is less than the full charge time of the battery, the battery remaining amount determining means compares the current traveling distance with the next traveling distance and When the distance is longer than this time, the remaining battery level at this time of traveling is determined according to the comparison between the current traveling distance and the next traveling distance. Subsequently, the power consumption determining means calculates, by the distance calculating means, an amount obtained by subtracting the battery remaining amount determined by the battery remaining amount determining means from the battery remaining amount detected by the battery remaining amount detecting means. Allocate based on the current mileage and determine the power consumption per mile. Then, the motor drive device supplies the electric power of the battery to the motor based on the electric power consumption determined by the electric power consumption determining means. For this reason, if the current charging time is shorter than the time required to fully charge the battery from zero capacity, and the next mileage is longer than the current mileage, the battery will be charged for the next run. The power of the battery is used efficiently as a whole by controlling so as to leave the capacity.

【0014】請求項4のハイブリッド車両では、前記電
力消費量決定手段が、前記バッテリ残量検知手段により
検知されたバッテリ残量から、該バッテリ残量決定手段
により決定されたバッテリ残量を引いた量を今回の走行
距離で割り、走行距離当たりの電力消費量を決定するた
め、バッテリに保持されている電力を該決定されたバッ
テリ残留まで使い切ることができる。
According to another aspect of the hybrid vehicle, the power consumption determining means subtracts the remaining battery amount determined by the remaining battery amount determining means from the remaining battery amount detected by the remaining battery amount detecting means. Since the amount is divided by the current traveling distance to determine the power consumption amount per traveling distance, the electric power retained in the battery can be used up to the determined battery remaining.

【0015】請求項5のハイブリッド車両では、今回の
充電時間がバッテリを容量零から満充電させるための時
間よりも短く、且つ、次回の走行距離が今回の走行距離
よりも長い際に、バッテリ残量決定手段が、今回走行時
のバッテリ残量を今回の充電時間により満充電させ得る
ように決定するため、走行距離が長い次回の走行時に該
満充電されたバッテリ容量を使用することができる。
According to another aspect of the hybrid vehicle of the present invention, when the current charging time is shorter than the time required to fully charge the battery from zero capacity and the next mileage is longer than the current mileage, the remaining battery level is reduced. Since the amount determining means determines that the remaining battery amount during the current traveling can be fully charged according to the current charging time, the fully charged battery capacity can be used during the next traveling with a long traveling distance.

【0016】[0016]

【実施例】以下、本発明を具体化した実施例について図
を参照して説明する。図1は、本発明の第1実施例に係
るハイブリッド車両の構成を示している。このハイブリ
ッド車両は、ガソリン内燃機関10とモータ14とを有
し、これら動力源を単一の車両ECU20により制御す
るようになっている。更に、この実施例では、現在位置
の算出及び目標地点までの経路誘導を行うナビゲーショ
ンECU30が設けられており、このナビゲーションE
CU30により計画された電力使用量に従い該車両EC
U20が、モータ14及びガソリン内燃機関10を制御
してハイブリッド車両を走行させるようになっている。
モータ14は、誘導機であって、インバータ回路を構成
するドライバ16と共に直流機として等価的に動作す
る。他方、ガソリン内燃機関10は、660cc、4サ
イクルの3気筒であって、車軸13の駆動を行う。この
車軸13上には、上記モータ14が取り付けられてお
り、ドライバ16によって制御され電動機として車軸1
3上にトルクを付加し、また、発電機として動作して車
軸13から電力を取り出すようになっている。この車軸
13には、デファレンシャルギヤ13aを介してタイヤ
17が、また、車速センサ15が取り付けられている。
Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 shows the configuration of a hybrid vehicle according to a first embodiment of the present invention. This hybrid vehicle has a gasoline internal combustion engine 10 and a motor 14, and these power sources are controlled by a single vehicle ECU 20. Further, in this embodiment, a navigation ECU 30 for calculating the current position and guiding the route to the target point is provided.
The vehicle EC according to the electric power consumption planned by the CU 30
U20 controls the motor 14 and the gasoline internal combustion engine 10 to drive the hybrid vehicle.
The motor 14 is an induction machine, and equivalently operates as a DC machine together with a driver 16 that constitutes an inverter circuit. On the other hand, the gasoline internal combustion engine 10 has three cylinders of 660 cc and four cycles, and drives the axle 13. The motor 14 is mounted on the axle 13 and is controlled by a driver 16 to serve as an electric motor of the axle 1.
A torque is applied to the shaft 3 and operates as a generator to extract electric power from the axle 13. A tire 17 and a vehicle speed sensor 15 are attached to the axle 13 via a differential gear 13a.

【0017】ガソリン内燃機関10及びモータ14を制
御する車両ECU20は、1チップのマイクロコンピュ
ータから成り、ガソリン内燃機関10のスロットル10
aの開閉をスロットル信号aにより調整し、ガソリン内
燃機関10の出力を制御する。また、該車両ECU20
は、ドライバ16からモータ状態信号cを受けてモータ
14の状態を把握する。そして、ドライバ16にモータ
制御信号bを送り、バッテリ18の電力をモータ14側
へ供給させると共に、例えば、下り坂を走行中、或い
は、ブレーキによる制動の際に、モータ14を発電機と
して動作させて該バッテリ18の充電を行う。また、該
車両ECU20は、バッテリ18からバッテリ状態信号
dが加えられ、バッテリ18の残量を把握してバッテリ
残量信号gとしてナビゲーションECU30側に加え
る。また、車速センサ15からの車速信号eが、該車両
ECU20及びナビゲーションECU30に加えられる
ようになっている。
A vehicle ECU 20 for controlling the gasoline internal combustion engine 10 and the motor 14 is composed of a one-chip microcomputer and has a throttle 10 of the gasoline internal combustion engine 10.
The output of the gasoline internal combustion engine 10 is controlled by adjusting the opening / closing of a by the throttle signal a. In addition, the vehicle ECU 20
Receives the motor state signal c from the driver 16 and grasps the state of the motor 14. Then, the motor control signal b is sent to the driver 16 so that the electric power of the battery 18 is supplied to the motor 14 side, and the motor 14 is operated as a generator while traveling on a downhill or when braking with a brake. Then, the battery 18 is charged. Further, the vehicle ECU 20 receives the battery state signal d from the battery 18, grasps the remaining amount of the battery 18, and adds it as the battery remaining amount signal g to the navigation ECU 30 side. The vehicle speed signal e from the vehicle speed sensor 15 is applied to the vehicle ECU 20 and the navigation ECU 30.

【0018】現在位置を算出すると共に後述するバッテ
リ使用量のスケジュールを設定するナビゲーションEC
U30は、1チップのマイクロコンピュータから成る。
このナビゲーションECU30には、ジャイロセンサ3
6からのジャイロ信号kと、GPS(グローバル・ポジ
ショニング・システム)受信機32により算出された現
在位置信号jと、前述した車速センサ15からの車速信
号eとが加えられ、これらの信号に基づき現在位置を算
出する。また、このナビゲーションECU30は、内蔵
のROM(図示せず)に地図データを有しており、上記
算出された位置情報を含む地図情報から成る画像信号i
をモニタ34へ送り、該モニタ34に表示させ経路誘導
を行うようになっている。更に、ナビゲーションECU
30は、算出した車両の現在位置及びバッテリ残量信号
gと、後述するバッテリ使用量のスケジュールとに基づ
き、バッテリの使用量を指示する目標バッテリ残量指令
hを算出して車両ECU20に与える。
Navigation EC for calculating the current position and setting a schedule for battery usage described later.
U30 consists of a one-chip microcomputer.
The navigation ECU 30 includes a gyro sensor 3
The gyro signal k from 6 and the current position signal j calculated by the GPS (Global Positioning System) receiver 32 and the vehicle speed signal e from the vehicle speed sensor 15 described above are added, and based on these signals, the current Calculate the position. Further, the navigation ECU 30 has map data in a built-in ROM (not shown), and an image signal i including map information including the calculated position information.
Is sent to the monitor 34 and displayed on the monitor 34 to guide the route. Furthermore, the navigation ECU
30 calculates a target battery remaining amount command h for instructing the battery usage amount based on the calculated current position of the vehicle and the battery remaining amount signal g, and a battery usage amount schedule described later, and gives it to the vehicle ECU 20.

【0019】このナビゲーションECU30には、端末
装置40から目的地スケジュールデータmが入力される
ようになっている。この端末装置40は、例えば、電子
手帳から成り、ハイブリッド車両の使用者によりスケジ
ュールが入力される。そして、該使用者によってスケジ
ュールのハイブリッド車両側への転送が指示されると、
ハイブリッド車両の目的地スケジュールデータmとして
該ナビゲーションECU30側へ送るようになってい
る。
Destination schedule data m is input from the terminal device 40 to the navigation ECU 30. The terminal device 40 is composed of, for example, an electronic notebook, and a schedule is input by the user of the hybrid vehicle. Then, when the user instructs the transfer of the schedule to the hybrid vehicle side,
The destination schedule data m of the hybrid vehicle is sent to the navigation ECU 30 side.

【0020】ここで、第1実施例のハイブリッド車両の
ナビゲーションECU30の動作について、図2乃至図
6を参照して説明する。ここで、上述した端末装置40
(電子手帳)には、図3(A)に示す内容の各日付にお
ける、出発予定時間、到着予定時間、出発地、目的地、
及び、該目的地における充電の可否についてのデータ
(この可否のデータは、既に、端末装置40に充電を行
える場所が入力されており、目的地が入力されると該端
末装置側で自動的に設定するようになっている)が入力
されているものとする。
Now, the operation of the navigation ECU 30 of the hybrid vehicle of the first embodiment will be described with reference to FIGS. 2 to 6. Here, the terminal device 40 described above
In the (electronic notebook), the scheduled departure time, the estimated arrival time, the departure point, the destination, and the date shown in FIG.
And data regarding whether or not charging is possible at the destination (the data regarding whether or not charging is possible has already been input to the terminal device 40 where charging can be performed, and when the destination is input, the terminal device automatically It is supposed to be entered).

【0021】先ず、このナビゲーションECU30によ
る走行前のバッテリ使用スケジュールの設定(目標バッ
テリ残量算出)処理について、当該処理の主ルーチンを
示す図4を参照して説明する。まず、ナビゲーションE
CU30は、上述した端末装置40から図3(A)に示
す内容の目的地スケジュールデータmが転送されると、
ステップ12がYesとなり、次に、バッテリ残量(S
OC)を入力する(S14)。ここでは、バッテリ18
が満充電されており、SOCの値として100%が入力
されたものとして説明を続ける。その後、経路探査処理
を開始する(S16)。この経路探査処理は、該目的地
スケジュールデータmに基づき、各出発地から目的地ま
での経路の探査を行う。先ず、ナビゲーションECU3
0は、1月27日の出発地(自宅)と目的地(会社)と
の位置座標を内蔵のROMから検索し、両位置座標を結
ぶ最適な経路を、該ROMの地図データから探索する。
これにより図2に示す自宅から会社へのルート1を決定
し、更に、該ルート1に於ける走行距離を算出する。そ
して、全てのルートデータの作成が完了したかを判断す
るが(S18)、ここでは該ステップ18の判断がNo
となり、ステップ16へ戻り、1月27日の次の出発地
(会社)と目的地(自宅)とを結ぶ次のルート2(図2
参照)を検索する。引き続き、該目的地スケジュールデ
ータmに含まれている1月28日の自宅−A地点間のル
ート3、A地点−B地点間のルート4、B地点−自宅間
のルート5、1月29日の自宅−会社間のルート6、会
社−自宅間のルート7までの全てのルートデータが完成
すると、該ステップ18のルートデータ終了の判断がY
esとなり、ステップ20のバッテリ残量スケジューリ
ング処理へと進む。図3(B)には、図2に示した各ル
ートにおける走行距離(Km)を表にして示している。
First, the process of setting the battery use schedule before traveling (calculating the target battery remaining amount) by the navigation ECU 30 will be described with reference to FIG. 4 showing the main routine of the process. First, navigation E
When the destination schedule data m having the content shown in FIG. 3A is transferred from the terminal device 40 described above, the CU 30
Step 12 becomes Yes, and the remaining battery level (S
Input OC) (S14). Here, the battery 18
Is fully charged, and the description will be continued assuming that 100% is input as the SOC value. Then, the route search process is started (S16). In this route search processing, a route from each starting point to the destination is searched based on the destination schedule data m. First, the navigation ECU 3
0 retrieves the position coordinates of the departure point (home) and the destination (company) on January 27 from the built-in ROM and searches the map data of the ROM for the optimum route connecting both position coordinates.
As a result, the route 1 from the home to the company shown in FIG. 2 is determined, and the traveling distance along the route 1 is calculated. Then, it is judged whether or not the creation of all the route data is completed (S18), but here, the judgment in the step 18 is No.
Then, the procedure returns to step 16, and next route 2 connecting the next departure place (company) and destination (home) on January 27 (Fig. 2).
Search). Subsequently, the home-route A route 3 on January 28, the route A-point B route 4, the route B-home route 5, and January 29, which are included in the destination schedule data m, are included on January 29. When all the route data from the home-company route 6 to the company-home route 7 are completed, the determination of the end of the route data in step 18 is Y.
The answer is es, and the process proceeds to the battery remaining amount scheduling process in step 20. FIG. 3B shows a table of the traveling distance (Km) on each route shown in FIG.

【0022】ステップ20に於ける、バッテリ残量スケ
ジューリング処理について、このサブルーチンを示す図
5のフローチャートを参照して説明する。ナビゲーショ
ンECU30は、先ず、上述したステップ14で取り込
んだ現在位置におけるSOC(バッテリ残量)と、ステ
ップ16で探索した各ルートデータと、更に、目的地ス
ケジュールデータmから充電予定地を入力する。そし
て、ステップ34において、次の充電予定地までの距離
Lを算出する。即ち、図3(B)に示すように、1月2
7日の自宅から会社までの走行距離が10Kmで、会社か
ら自宅までの走行距離が10Kmであるため、出発地(自
宅)から次の充電予定地である自宅までの距離Lを20
Kmと算出する。その後、ナビゲーションECU30は、
自宅から会社まで走行するルート1におけるバッテリの
使用量を算出する(S36)。ここでは、ルート1にお
ける走行距離(10Km)を、次充電予定地までの距離L
(20Km)で割った値に、前述したステップ14にて入
力したバッテリ残量値(100%)を掛ける。これによ
り、ルート1にて使用するSOCが50%で、目的地に
おけるSOCが50%という値を算出する(図3(B)
参照)。次に、このルート1に於ける目的地が充電予定
地かを判断するが(S38)、ルート1の目的地(会
社)は充電予定地ではないため(S38がNo)、ステ
ップ36に戻りルート2におけるSOCの値を算出す
る。ここで、ルート2の目的地(自宅)までにSOCが
50%消費されるため、該目的地におけるSOCの値を
0%と算出する。この後ステップ38の目的地が充電予
定地かの判断がYesとなりステップ40に進む。
The battery remaining amount scheduling processing in step 20 will be described with reference to the flowchart of FIG. 5 showing this subroutine. The navigation ECU 30 first inputs the SOC (remaining battery level) at the current position acquired in step 14 described above, each route data searched in step 16, and the charging schedule site from the destination schedule data m. Then, in step 34, the distance L to the next charging site is calculated. That is, as shown in FIG. 3B, January 2
The distance from the home to the office on the 7th is 10km, and the distance from the office to the home is 10km. Therefore, the distance L from the departure place (home) to the next charging destination home is 20.
Calculate as Km. After that, the navigation ECU 30
The amount of battery used in Route 1 traveling from home to work is calculated (S36). Here, the travel distance (10 km) on Route 1 is the distance L to the next charging site.
The value divided by (20 Km) is multiplied by the battery residual amount value (100%) input in step 14 described above. As a result, the SOC used in Route 1 is 50% and the SOC at the destination is 50% (Fig. 3 (B)).
reference). Next, it is judged whether the destination on the route 1 is the planned charging place (S38), but the destination (company) of the route 1 is not the planned charging place (No at S38), so the process returns to step 36 The SOC value in 2 is calculated. Here, since 50% of SOC is consumed up to the destination (home) of Route 2, the SOC value at the destination is calculated as 0%. After this, the determination in step 38 as to whether the destination is the charging destination is Yes and the process proceeds to step 40.

【0023】ステップ40で、ナビゲーションECU3
0は、充電予定地へ到着してから出発するまでの時間を
求めることにより充電時間を算出する。即ち、図3
(A)に示すスケジュールのように1月27日のPM
6:00に目的地(充電予定地)に到着し、翌日のAM
10:00に出発する際に、充電時間を16時間と算出
する。そして、ステップ42にて、充電完了時のSOC
を算出する。ここで、充電予定地に到着した時点でのS
OCが0%で容量はゼロであるが、このバッテリ18
は、10時間でSOC0%(容量零)からSOC100
%(満充電)まで充電できるため、上記ステップ40で
算出した16時間においてSOC100%まで充電され
得ると算出する。その後、ステップ44にて、全ルート
についてバッテリ残量スケジューリングが終了したかを
判断するが、ここでは、1月27日分についての処理が
完了した所なので、該ステップ44がNoとなり、ステ
ップ34へ戻る。
In step 40, the navigation ECU 3
0 calculates the charging time by obtaining the time from the arrival at the charging destination to the departure. That is, FIG.
PM on January 27th as per the schedule shown in (A)
Arrive at the destination (scheduled charging place) at 6:00 and am the next day
When departing at 10:00, the charging time is calculated as 16 hours. Then, in step 42, the SOC when the charging is completed
To calculate. Here, S at the time of arriving at the charging site
Although the OC is 0% and the capacity is zero, this battery 18
SOC 0% (zero capacity) to SOC 100 in 10 hours
Since it can be charged up to 100% (full charge), it is calculated that SOC can be charged up to 100% in 16 hours calculated in step 40. Then, in step 44, it is determined whether the battery remaining amount scheduling has been completed for all routes. Here, since the processing for January 27 has been completed, the step 44 becomes No and the process proceeds to step 34. Return.

【0024】ステップ34では、1月28日における次
の充電予定地までの距離Lを算出する。ここでは、ルー
ト3の走行距離20Kmと、ルート4の走行距離10Km
と、ルート5の走行距離20Kmとを加えて50Kmを算出
する。そして、ステップ36で、ルート3の走行時に使
用するSOCを算出する。ここでは、ルート3における
走行距離(20Km)を、次充電予定地までの距離L(5
0Km)で割った値に、前述したステップ42にて算出し
たSOCの値(100%)を掛けて、40%という値を
得る。そして、ルート4、ルート5に於けるSOCを算
出した後、ステップ38がYesとなりステップ40に
進む。
In step 34, the distance L to the next charging site on January 28 is calculated. Here, the mileage of Route 3 is 20km and the mileage of Route 4 is 10km.
And the mileage of route 5 of 20 km are added to calculate 50 km. Then, in step 36, the SOC used when traveling on the route 3 is calculated. Here, the travel distance (20 km) on Route 3 is calculated as the distance L (5
The value divided by 0 km) is multiplied by the SOC value (100%) calculated in step 42 to obtain a value of 40%. Then, after calculating the SOCs on the routes 4 and 5, step 38 becomes Yes and the process proceeds to step 40.

【0025】ステップ40では、1月28日の予定地到
着から翌日(1月29日)の出発までの充電時間を算出
する。ここでは、PM11:00からAM07:00ま
での8時間を充電時間として算出する。そして、ステッ
プ42にて、充電完了時のSOCを算出する。ここで
は、上述したように容量零(SOC0%)から満充電
(SOC100%)までに10時間かかるために、10
0%×8/10から80%の値を算出する。そして、ス
テップ44の全ルートについてバッテリ残量スケジュー
リングが終了したかの判断が、Noとなりステップ34
へ戻る。
In step 40, the charging time from arrival at the planned place on January 28 to departure on the next day (January 29) is calculated. Here, 8 hours from PM 11:00 to AM 07:00 is calculated as the charging time. Then, in step 42, the SOC at the time of completion of charging is calculated. As described above, it takes 10 hours from zero capacity (SOC 0%) to full charge (SOC 100%).
A value of 80% is calculated from 0% × 8/10. Then, the determination of whether or not the battery remaining amount scheduling has been completed for all routes in step 44 is No, and step 34
Return to.

【0026】ステップ34では、1月29日における次
充電予定地までの距離を算出する。そして、ステップ3
6にて、ルート6走行時におけるSOCを算出するが、
ここでは、上記ステップ42で算出したように出発時の
SOCが80%であるため、ルート6における走行距離
(10Km)を、次充電予定地までの距離L(20Km)で
割った値に、SOCの値(80%)を掛け、使用される
SOCの値を40%と算出する。従って、目的地におけ
るSOCは80%から40%が減じられた40%とな
る。以降上述したと同様に処理を進め、ルート7に於け
るSOC使用量を算出することにより、全ルートについ
てのバッテリ残量スケジューリングが終了し、ステップ
44における判断がYesとなる。これにより、図5に
示すバッテリ残量スケジューリングのサブルーチン処
理、即ち、図4に示すメインルーチンにおけるステップ
20の処理が完了し、図4のステップ22にてスケジュ
ールが完了したかの判断がYesとなり、ナビゲーショ
ンECU30による走行前のバッテリ使用量スケジュー
ルの設定(目標バッテリ残量算出処理)が完了する。
In step 34, the distance to the next charging scheduled site on January 29 is calculated. And step 3
6 calculates the SOC when running on Route 6,
Here, since the SOC at the time of departure is 80% as calculated in step 42 above, the SOC traveled on route 6 (10 km) is divided by the distance L (20 km) to the next charging site to the SOC. And the SOC value used is calculated as 40%. Therefore, the SOC at the destination is 40%, which is obtained by subtracting 40% from 80%. After that, the same processing as described above is performed to calculate the SOC usage amount in the route 7, whereby the battery remaining amount scheduling for all routes is completed, and the determination in step 44 becomes Yes. As a result, the subroutine processing of the battery remaining amount scheduling shown in FIG. 5, that is, the processing of step 20 in the main routine shown in FIG. 4 is completed, and it is determined Yes in step 22 of FIG. The setting (target battery remaining amount calculation process) of the battery usage schedule before traveling by the navigation ECU 30 is completed.

【0027】なお、前述したバッテリ容量零とは、バッ
テリの容量が物理的に零になることを指す訳ではなく、
バッテリを繰り返し経済的に使用し得る最も低い容量値
を意味し、バッテリの性能、材質によって異なってく
る。例えば、アルカリ電池の場合には、非常に低い容量
値まで使用し得るが、鉛電池の場合には、低い容量値ま
で使用すると寿命を縮めるため一定の容量を残した状態
にて容量零と呼ぶ。同様に、満充電(SOC100%)
とは、経済的に使用し得る上限値を意味している。
The above-mentioned battery capacity of zero does not mean that the capacity of the battery is physically zero,
It means the lowest capacity value at which the battery can be repeatedly and economically used, and it depends on the performance and material of the battery. For example, in the case of an alkaline battery, it is possible to use up to a very low capacity value, but in the case of a lead battery, when it is used up to a low capacity value, the life is shortened. . Similarly, full charge (SOC 100%)
Means an upper limit value that can be economically used.

【0028】引き続き図6のフローチャート及び図1の
ブロック図を参照して、ハイブリッド車両走行時に於け
る該ナビゲーションECU30の処理について説明す
る。ナビゲーションECU30は、先ず、上述した処理
により算出したバッテリ使用量に関するスケジュール
(目標バッテリ残量)を入力する(S52)。次に、ジ
ャイロセンサ36からのジャイロ信号kと、GPS受信
機32により算出された現在位置信号jと、車速センサ
15からの車速信号eとを入力する(S54)。そし
て、これらの信号に基づき現在位置を推定する(S5
6)。その後、ステップ58にて、該バッテリ使用量に
関するスケジュールに基づき、走行中の各現在位置に於
ける目標バッテリ残量を算出し、目標バッテリ残量指令
hとして車両ECU20側に出力する。その後、ステッ
プ60にて目的地へ到達したかを判断するが、この判断
がNoとなりステップ54へ戻り、走行中の各現在位置
に於ける目標バッテリ残量指令hの出力を継続する。そ
して、目的地に到達することにより、ステップ60の判
断がYesとなり全ての処理を完了する。
Continuing to refer to the flowchart of FIG. 6 and the block diagram of FIG. 1, the processing of the navigation ECU 30 when the hybrid vehicle is traveling will be described. The navigation ECU 30 first inputs the schedule (target battery remaining amount) regarding the battery usage amount calculated by the above-described processing (S52). Next, the gyro signal k from the gyro sensor 36, the current position signal j calculated by the GPS receiver 32, and the vehicle speed signal e from the vehicle speed sensor 15 are input (S54). Then, the current position is estimated based on these signals (S5).
6). After that, in step 58, the target battery remaining amount at each current position during traveling is calculated based on the battery usage schedule, and is output to the vehicle ECU 20 side as the target battery remaining amount command h. Thereafter, at step 60, it is judged whether or not the vehicle has reached the destination. If the judgment is No, the process returns to step 54, and the output of the target battery remaining amount command h at each current position during traveling is continued. Then, when the vehicle reaches the destination, the determination in step 60 becomes Yes, and all processing is completed.

【0029】ここで、上述したナビゲーションECU3
0からの目標バッテリ残量指令hを受け、車両ECU2
0が、ガソリン内燃機関10及びモータ14の制御を行
う処理について図7のフローチャート及び、図1のブロ
ック図を参照して説明する。先ず、車両ECU20は、
アクセルペダル及びブレーキペダルの状態を入力する
(S71)。次に、バッテリ18の電圧及び電流を入力
する(S72)。そして、バッテリ18の残量C1を算
出して(S73)、バッテリ残量C1を出力する(S7
4)。引き続き、前述したナビゲーションECU30側
からの目標バッテリ残量指令hを入力し、この信号から
目標バッテリ残量C2を算出する(S75)。そして、
現在のバッテリ残量C1を目標バッテリ残量C2に近づ
けるように充電要求レベルLcを設定する(S76)。
その後、上記ステップ71で入力したアクセルペダル及
びブレーキペダルの状態と、該ステップ76で設定した
充電要求レベルLcから、モータ14を制御するための
指令値と、ガソリン内燃機関10を制御するための指令
値とを演算する(S77)。引き続き、モータ指令値
(モータ制御信号b)をドライバ16に送出し(S7
8)、モータ14へバッテリ18に蓄えられた電力を供
給させる。更に、エンジン指令値(スロット信号a)を
スロット10aに送出し(S79)、ガソリン内燃機関
10に算出された出力を発生される。その後目的地に到
達したかを判断し(S80)、目的地に到達するまで
(S80がNo)、上記ステップ71からステップ79
までの処理を繰り返し、ハイブリッド車両を走行させ
る。この処理を繰り返すことにより、バッテリ18の残
量を、図3(B)を参照して前述したバッテリ残量スケ
ジュールに基づき減らしていき、充電予定の目的地に到
達した時点で零にすることにより、バッテリ18の容量
を使い切るようにする。
Here, the above-mentioned navigation ECU 3
The vehicle ECU 2 receives the target battery remaining amount command h from 0.
0 will be described with reference to the flowchart of FIG. 7 and the block diagram of FIG. 1 for the process of controlling the gasoline internal combustion engine 10 and the motor 14. First, the vehicle ECU 20
The state of the accelerator pedal and the brake pedal is input (S71). Next, the voltage and current of the battery 18 are input (S72). Then, the remaining amount C1 of the battery 18 is calculated (S73), and the remaining battery amount C1 is output (S7).
4). Subsequently, the target battery remaining amount command h from the navigation ECU 30 described above is input, and the target battery remaining amount C2 is calculated from this signal (S75). And
The charging request level Lc is set so that the current remaining battery charge C1 approaches the target remaining battery charge C2 (S76).
Thereafter, a command value for controlling the motor 14 and a command for controlling the gasoline internal combustion engine 10 based on the states of the accelerator pedal and the brake pedal input in step 71 and the charge request level Lc set in step 76. The value and are calculated (S77). Subsequently, the motor command value (motor control signal b) is sent to the driver 16 (S7
8) The electric power stored in the battery 18 is supplied to the motor 14. Further, the engine command value (slot signal a) is sent to the slot 10a (S79), and the calculated output is generated for the gasoline internal combustion engine 10. After that, it is determined whether the destination is reached (S80), and until the destination is reached (S80 is No), the steps 71 to 79 are performed.
The process up to is repeated to drive the hybrid vehicle. By repeating this process, the remaining amount of the battery 18 is reduced based on the battery remaining amount schedule described above with reference to FIG. 3B, and is made zero when the destination to be charged is reached. , The capacity of the battery 18 is used up.

【0030】次に本発明の第2実施例に係るハイブリッ
ド車両について説明する。このハイブリッド車両の構成
については、図1を参照して前述した第1実施例と同様
であるため図示及び説明を省略する。上述した第1実施
例では、ナビゲーションECU30が各充電予定地に到
着した時点でSOCの値が0%になるように、バッテリ
残量のスケジューリングを行った。このため、充電時間
が10時間(満充電時間)に満たない場合には、次回に
SOCが100%未満で走行を開始することになった。
これに対して、第2実施例では、充電時間が10時間に
満たない場合には、ナビゲーションECU30が、今回
(時間的に次回よりも先になる場合を言う)の走行距離
と次回(時間的に今回よりも後になる場合を言う)の走
行距離とを比較し、次回の走行距離が長い際には、10
時間に満たない充電時間で満充電できるバッテリ容量を
残在さるように、今回の走行時のバッテリ残量をスケジ
ュールする。このナビゲーションECU30によるバッ
テリ残量のスケジューリングのメインルーチンは、第1
実施例のメインルーチンと同様であるため、図4のフロ
ーチャートを参照すると共に、第2実施例のサブルーチ
ンを示す図9のフローチャートと、図8の表とを参照し
て第2実施例の処理を説明する。
Next, a hybrid vehicle according to a second embodiment of the present invention will be described. The configuration of this hybrid vehicle is the same as that of the first embodiment described above with reference to FIG. 1, and therefore illustration and description thereof will be omitted. In the above-described first embodiment, the remaining battery amount is scheduled so that the SOC value becomes 0% when the navigation ECU 30 arrives at each charging site. For this reason, if the charging time is less than 10 hours (full charging time), the SOC will be started next time when the SOC is less than 100%.
On the other hand, in the second embodiment, when the charging time is less than 10 hours, the navigation ECU 30 determines that the mileage of this time (which is earlier than the next time) and the next (time When the mileage of the next time is long, it is 10
Schedule the remaining battery level for this run so that there is enough battery capacity to be fully charged in less than the required charging time. The main routine for scheduling the remaining battery level by the navigation ECU 30 is
Since it is similar to the main routine of the embodiment, the processing of the second embodiment will be described with reference to the flowchart of FIG. 4 and the flowchart of FIG. 9 showing the subroutine of the second embodiment and the table of FIG. explain.

【0031】第1実施例と同様に端末装置40(電子手
帳)には、図8(A)に示す内容の各日付における、出
発予定時間、到着予定時間、出発地、目的地、及び、該
目的地における充電の可否についてのデータが入力され
ている。ナビゲーションECU30は、該端末装置40
から図8(A)に示す内容の目的地スケジュールデータ
mが転送されると、図4に示すステップ12の判断がY
esとなり、バッテリ残量(SOC)を入力する(S1
4)。ここでは、バッテリ18が満充電されており、S
OCの値として100%が入力されたものとして説明を
続ける。その後、経路探査処理を開始する(S16)。
この経路探査処理は、該目的地スケジュールデータmに
基づき、各出発地から目的地までの経路を探査する。こ
こでは先ず、ナビゲーションECU30は、3月27日
の出発地(自宅)と目的地(会社)との位置座標を内蔵
のROMから検索し、両位置座標を結ぶ最適な経路をR
OMの地図データから探索する。そして図2に示す自宅
から会社へのルート1を決定し、更に、該ルート1に於
ける走行距離を算出する。そして、ステップ18にて全
てのルートデータの作成が完了したかを判断するが、こ
こでは、該ステップ18の判断がNoとなり、ステップ
16へ戻り、3月27日の次の出発地(会社)と目的地
(自宅)とを結ぶルート2(図2参照)を検索する。そ
して、該目的地スケジュールデータmに含まれている3
月28日の自宅−A地点間のルート3、A地点−B地点
間のルート4、B地点−自宅間のルート5、3月29日
の自宅−会社間のルート6、会社−自宅間のルート7ま
での全てのルートデータが完成すると、該ステップ18
のルートデータ終了かの判断がYesとなり、ステップ
20のバッテリ残量スケジューリング処理へと進む。図
8(B)には、図2に示した各ルートにおける走行距離
(Km)を表にして示している。
Similar to the first embodiment, the terminal device 40 (electronic notebook) has a scheduled departure time, a scheduled arrival time, a departure place, a destination, and the relevant date on the dates shown in FIG. 8A. Data about whether charging at the destination is possible or not is input. The navigation ECU 30 uses the terminal device 40.
When the destination schedule data m having the contents shown in FIG. 8 (A) is transferred from FIG.
es, and the remaining battery level (SOC) is input (S1
4). Here, the battery 18 is fully charged and S
The description will be continued assuming that 100% is input as the OC value. Then, the route search process is started (S16).
In this route search processing, a route from each starting point to the destination is searched based on the destination schedule data m. First, the navigation ECU 30 searches the built-in ROM for the position coordinates of the departure point (home) and the destination point (company) on March 27, and finds the optimum route connecting both position coordinates.
Search from OM map data. Then, the route 1 from the home to the company shown in FIG. 2 is determined, and the traveling distance on the route 1 is calculated. Then, in step 18, it is determined whether or not all route data has been created. Here, the determination in step 18 is No, the process returns to step 16 and the next departure place (company) on March 27 Route 2 (see FIG. 2) that connects the destination to the destination (home) is searched. Then, 3 included in the destination schedule data m
Route 3 between home-A point on March 28, Route 4 between A-point and B point, Route 5 between B-point and home 5, Route 6 between home-company on March 29, Between company-home When all route data up to route 7 is completed, the step 18
The determination as to whether or not the route data is finished is Yes, and the process proceeds to the battery remaining amount scheduling process of step 20. FIG. 8B shows the travel distance (Km) in each route shown in FIG. 2 in the form of a table.

【0032】ステップ20に於けるバッテリ残量スケジ
ューリング処理について、このサブルーチンを示す図9
のフローチャートを参照して説明する。ナビゲーション
ECU30は、先ず、上述したステップ14で取り込ん
だ現在位置におけるSOC(バッテリ残量)と、ステッ
プ16で探索した各ルートデータと、更に、目的地スケ
ジュールデータmの充電予定地を入力する(S81)。
そして、次の充電予定地までの距離Lを算出する(S8
2)。即ち、図8(B)に示すように、3月27日の自
宅から会社までの走行距離が10Kmで、会社から自宅ま
での走行距離が10Kmであるため、出発地(自宅)から
次の充電予定地である自宅までの距離Lを20Kmと算出
する。その後、自宅から会社まで走行するルート1にお
けるバッテリの使用量を算出する(S83)。ここで
は、ルート1における走行距離(10Km)を、次充電予
定地までの距離L(20Km)で割った値に、前述したス
テップ81にて入力したSOCの値(100%)を掛け
る。これにより、SOC使用量が50%で、目的地にお
けるSOCを50%と算出する。次に、このルート1に
於ける目的地が充電予定地かを判断するが(S84)、
ルート1の目的地は充電予定地ではないため(S84が
No)、ステップ83に戻りルート2におけるSOCの
値を算出する。ルート2におけるSOCの算出により、
ステップ84の目的地が充電予定地かの判断がYesと
なりステップ85に進む。
FIG. 9 showing this subroutine for the battery remaining amount scheduling process in step 20.
This will be described with reference to the flowchart in FIG. The navigation ECU 30 first inputs the SOC (remaining battery level) at the current position acquired in step 14 described above, the route data searched in step 16, and the charging destination of the destination schedule data m (S81). ).
Then, the distance L to the next charging place is calculated (S8).
2). That is, as shown in FIG. 8B, the traveling distance from the home to the office on March 27 is 10 km, and the traveling distance from the office to the home is 10 km, so that the next charging from the departure place (home) is performed. The distance L to the planned home is calculated as 20 km. Then, the amount of battery used in Route 1 traveling from home to the office is calculated (S83). Here, a value obtained by dividing the traveling distance (10 km) on the route 1 by the distance L (20 km) to the next charging planned site is multiplied by the SOC value (100%) input in step 81 described above. As a result, the SOC usage is 50%, and the SOC at the destination is calculated as 50%. Next, it is judged whether the destination on this route 1 is the planned charging place (S84),
Since the destination of the route 1 is not the charging destination (No in S84), the process returns to step 83 and the SOC value of the route 2 is calculated. By calculating the SOC in Route 2,
The determination in step 84 as to whether the destination is the charging destination is Yes and the process proceeds to step 85.

【0033】ステップ40では、充電予定地へ到着して
から出発するまでの時間を求めることにより充電時間を
算出する。即ち、図8(A)に示すスケジュールのよう
に3月27日のPM11:00に目的地の自宅(充電予
定地)に到着し、翌日のAM07:00に出発するた
め、充電時間を8時間と算出する。そして、充電時間が
SOC0%からSOC100%まで充電させる10時間
以上かを判断する(S86)。ここでは、該ステップ8
6の判断がNoとなり、ステップ87へ進む。そして、
該ステップ87にて、次回の充電予定地までの距離、即
ち、翌日における走行距離L2を算出する。ここでは、
ルート3と、ルート4と、ルート5とにおける走行距離
を合計し走行距離L2を50Kmと算出する。
At step 40, the charging time is calculated by obtaining the time from the arrival at the charging destination to the departure. That is, as shown in the schedule of FIG. 8 (A), the vehicle arrives at the destination home (scheduled charging place) at 11:00 PM on March 27, and departs at 07:00 AM the next day, so the charging time is 8 hours. And calculate. Then, it is determined whether the charging time is 10 hours or more for charging from SOC 0% to SOC 100% (S86). Here, the step 8
The judgment of No. 6 is No, and the routine proceeds to step 87. And
In step 87, the distance to the next charging place, that is, the traveling distance L2 on the next day is calculated. here,
The traveling distances L2, 50 are calculated by adding the traveling distances of the route 3, the route 4, and the route 5.

【0034】引き続き、ステップ82で算出した今回の
走行距離Lが該ステップ87にて算出した次回の走行距
離L2よりも大きいかを判断する(S88)。ここで
は、今回の走行距離Lが、次回走行距離L2よりも短い
ため(S88がNo)、ステップ89に進み、ステップ
85で算出した充電時間に基づき、今回の充電で上昇さ
せ得るSOC値を計算する(S89)。ここでは、10
0%×8(充電時間)/10(満充電時間)から80%
の値を得る。そして、この80%の値から、今回の8時
間の充電によって100%まで充電させ得る予定地にお
けるバッテリ残量を算出する(S90)。ここでは、1
00%から80%を引くことにより20%の値を算出す
る。その後、上記ステップ83で計算したルート走行時
に使用するSOCを再計算する(S91)。ここでは、
充電を行う目的地に到着した時点でステップ90で算出
した20%が残余するように、ルート1における走行距
離(10Km)を、次充電予定地までの距離L(20Km)
で割った値に、使用可能なSOCの値(80%)を掛け
40%の値を算出する。そして、ルート1の目的地(会
社)到着時の目標SOCとして、出発時の100%から
該40%を引いた60%の値を得る(図8(B)参
照)。次に、このルート1に於ける目的地が充電予定地
かを判断するが(S92)、ルート1の目的地は充電予
定地ではないため(S92がNo)、ステップ91に戻
りルート2におけるSOCの値を算出する。ルート2に
おけるSOCの算出により、該ステップ92がYesと
なり、ステップ93へ移行し、今回の充電完了時のSO
Cの値を算出する。ここでは、SOC20%から、上記
ステップ85で算出した8時間充電を行うためSOC1
00%を算出する。その後、ステップ94にて、全ルー
トについてのバッテリ残量スケジューリングを終了した
かを判断するが、ここでは、3月27日分についての処
理が完了しところなので、該ステップ94がNoとなり
ステップ82へ戻る。
Subsequently, it is determined whether the current traveling distance L calculated in step 82 is larger than the next traveling distance L2 calculated in step 87 (S88). Here, since the current traveling distance L is shorter than the next traveling distance L2 (No in S88), the process proceeds to step 89, and the SOC value that can be increased by the current charging is calculated based on the charging time calculated in step 85. Yes (S89). Here, 10
0% x 8 (charge time) / 10 (full charge time) to 80%
Get the value of. Then, from this value of 80%, the battery remaining amount in the planned site where the battery can be charged to 100% by the current charging for 8 hours is calculated (S90). Here, 1
The value of 20% is calculated by subtracting 80% from 00%. After that, the SOC used during the route traveling calculated in step 83 is recalculated (S91). here,
When the vehicle arrives at the destination for charging, the travel distance (10 km) on route 1 is set to the distance L (20 km) to the next charging destination so that 20% calculated in step 90 remains.
The value divided by is multiplied by the usable SOC value (80%) to calculate a value of 40%. Then, as the target SOC upon arrival at the destination (company) of Route 1, a value of 60% obtained by subtracting the 40% from 100% at the departure is obtained (see FIG. 8B). Next, it is judged whether the destination on the route 1 is the planned charging place (S92). However, since the destination on the route 1 is not the planned charging place (S92 is No), the process returns to step 91 and the SOC on the route 2 is determined. Calculate the value of. When the SOC of the route 2 is calculated, the step 92 becomes Yes, the process proceeds to step 93, and the SO at the time of completion of the charging this time.
Calculate the value of C. Here, since the SOC is 20%, the charging is performed for 8 hours calculated in the above step 85.
Calculate 00%. Thereafter, in step 94, it is determined whether or not the battery remaining amount scheduling for all routes has been completed. Here, since the process for March 27 is about to be completed, the step 94 becomes No and the process proceeds to step 82. Return.

【0035】ステップ82では、3月28日における次
の充電予定地までの走行距離Lを算出する。ここでは、
ルート3の走行距離20Kmと、ルート4の走行距離10
Kmと、ルート5の走行距離20Kmとを加え50Kmと算出
する。そして、ステップ83で、ルート3の走行時に使
用するSOCを算出する。ここでは、ルート3における
走行距離(20Km)を、次充電予定地までの距離L(5
0Km)で割った値に、前述したステップ93にて算出し
たSOCの値(100%)を掛けて、40%という値を
得る。そして、ルート4、ルート5に於けるSOCを算
出した後(ステップ84がYes)、ステップ85に進
む。
In step 82, the travel distance L to the next charging site on March 28 is calculated. here,
20km for route 3 and 10 for route 4
Km and mileage 20km of route 5 are added to calculate 50km. Then, in step 83, the SOC used when traveling on Route 3 is calculated. Here, the travel distance (20 km) on Route 3 is calculated as the distance L (5
The value divided by 0 km) is multiplied by the SOC value (100%) calculated in step 93 to obtain a value of 40%. Then, after calculating the SOCs in the routes 4 and 5 (Yes in step 84), the process proceeds to step 85.

【0036】ステップ85で、ナビゲーションECU3
0は、3月28日の予定地到着から翌日(3月29)の
出発までの充電時間を算出する。ここでは、PM11:
00からAM10:00までの11時間を充電時間とし
て算出する。そして、充電時間が10時間以上かを判断
するが(S86)。ここでは、10時間以上なので該ス
テップ86がYesとなりステップ93に進み、充電完
了時のSOCを算出する。ここでは、容量零(SOC0
%)から10時間以上充電できるため、100%×10
(充電時間)/10(満充電時間)として100%の値
を算出する。そして、全ルートについてのバッテリ残量
スケジューリングが終了したかの判断(S94)がNo
となりステップ82へ戻る。
In step 85, the navigation ECU 3
0 calculates the charging time from the arrival of the planned site on March 28 to the departure on the next day (March 29). Here, PM11:
11 hours from 00 to 10:00 am is calculated as the charging time. Then, it is determined whether the charging time is 10 hours or more (S86). Here, since it is 10 hours or more, the step 86 becomes Yes and the process proceeds to step 93 to calculate the SOC at the time of completion of charging. Here, the capacity is zero (SOC0
%) Can be charged for 10 hours or more, so 100% x 10
A value of 100% is calculated as (charging time) / 10 (full charging time). Then, it is determined whether or not the battery remaining amount scheduling for all routes is completed (S94).
Then, the process returns to step 82.

【0037】ステップ82以降の処理により、3月29
日におけるバッテリ残量スケジューリングが完了する
と、ステップ94における判断がYesとなり、図9に
示すバッテリ残量スケジューリングのサブルーチン処
理、即ち、図4に示すメインルーチンにおけるステップ
20の処理が完了する。これにより、図4のステップ2
2にてスケジュールが完了したかの判断がYesとな
り、ナビゲーションECU30による走行前のバッテリ
使用量に関するスケジュール処理が完了し、図8(B)
に示す内容のバッテリ残量のスケジュールが完成する。
そして、このスケジュールに従い、走行時に第1実施例
において前述したと同様にナビゲーションECU30が
目標バッテリ残量指令hを車両ECU20に送出し、該
車両ECU20がガソリン内燃機関10及びモータ14
を制御して、バッテリ18の容量をバッテリ残量スケジ
ュールに基づき減らしていく。この第2実施例のハイブ
リッド車両では、充電時間と走行距離とに応じて、充電
予定の目的地に到達した時点でのバッテリ残量をコント
ロールするため、バッテリ18の容量を合理的に用いる
ことが可能である。
As a result of the processing after step 82, March 29
When the daily battery remaining amount scheduling is completed, the determination in step 94 becomes Yes, and the battery remaining amount scheduling subroutine process shown in FIG. 9, that is, the process of step 20 in the main routine shown in FIG. 4 is completed. This results in step 2 of FIG.
The determination in Step 2 as to whether or not the schedule is completed is Yes, and the schedule processing relating to the battery usage amount before traveling by the navigation ECU 30 is completed, and FIG.
The remaining battery charge schedule shown in is completed.
Then, according to this schedule, when the vehicle is traveling, the navigation ECU 30 sends the target battery remaining amount command h to the vehicle ECU 20 as described above in the first embodiment, and the vehicle ECU 20 causes the gasoline internal combustion engine 10 and the motor 14 to operate.
Is controlled to reduce the capacity of the battery 18 based on the battery remaining amount schedule. In the hybrid vehicle of the second embodiment, the capacity of the battery 18 can be rationally used in order to control the remaining amount of the battery at the time of reaching the destination to be charged according to the charging time and the traveling distance. It is possible.

【0038】上述した第2実施例においては、ナビゲー
ションECU30が、充電時間が10時間(満充電時
間)に満たない場合には、今回の走行距離と次回の走行
距離とを比較し、次回の走行距離が長い際には、10時
間に満たない充電時間で満充電できるバッテリ容量を残
在させるようにバッテリ残量のスケジューリングを行っ
た。この代わりに、今回の走行距離と次回の走行距離と
の比較に応じ、走行距離に比例せて今回走行時のバッテ
リ残量を決定させるように構成することで、更にバッテ
リ容量を合理的に使用させることも可能である。
In the above-described second embodiment, when the charging time is less than 10 hours (full charge time), the navigation ECU 30 compares the traveling distance of this time with the traveling distance of the next time, and travels the next time. When the distance is long, the battery remaining amount is scheduled so that the remaining battery capacity can be fully charged in less than 10 hours. Instead of this configuration, the remaining battery capacity at this time of travel is determined in proportion to the travel distance according to the comparison between the current travel distance and the next travel distance. It is also possible to let.

【0039】なお、以上説明した第1、第2実施例で
は、ナビゲーションECU30がバッテリ残量のスケジ
ューリングを行う際に道路状況等についての判断は行わ
なかったが、例えば、移動中に下り坂がある場合には、
該坂道でモータを回生制動することによりバッテリ18
の充電を行うように予めスケジューリングすることによ
って、エネルギの消費を更に低減させることも可能であ
る。
In the first and second embodiments described above, the navigation ECU 30 does not judge the road condition etc. when scheduling the battery remaining amount. However, for example, there is a downhill while moving. in case of,
By regeneratively braking the motor on the slope, the battery 18
It is possible to further reduce energy consumption by pre-scheduling the charging of the battery.

【0040】また、上述した実施例では、燃料を用いる
駆動機関としてガソリン内燃機関を例に挙げたが、本発
明は、内燃機関としては、水素、アルコール、プロパン
ガス等を用いる内燃機関の他に、ディーゼル機関、更に
は、ガスタービン等をも用いることができ。特に、燃料
として水素を用いる場合には、二酸化炭素CO2 を発生
させない利点がある。
Further, in the above-mentioned embodiment, the gasoline internal combustion engine is taken as an example of the drive engine using the fuel, but the present invention is not limited to the internal combustion engine using hydrogen, alcohol, propane gas or the like as the internal combustion engine. , Diesel engines, and even gas turbines can be used. In particular, when hydrogen is used as the fuel, there is an advantage that carbon dioxide CO 2 is not generated.

【0041】[0041]

【効果】以上記述したように本発明のハイブリッド車両
によれば、運行予定に基づきバッテリの容量を最大限に
使用するため、内燃機関の駆動を最小限に留めCO2
排出を抑えることができる。また、バッテリの電力を合
理的に使用し得るため、エネルギの使用量を低減するこ
とが可能である。
As described above, according to the hybrid vehicle of the present invention, since the capacity of the battery is used to the maximum based on the operation schedule, the driving of the internal combustion engine can be minimized and the emission of CO 2 can be suppressed. . Further, since the electric power of the battery can be used rationally, it is possible to reduce the amount of energy used.

【図面の簡単な説明】[Brief description of drawings]

【図1】本発明の第1実施例に係るハイブリッド車両の
構成を示すブロック図である。
FIG. 1 is a block diagram showing a configuration of a hybrid vehicle according to a first embodiment of the present invention.

【図2】ナビゲーションECUにより探索される経路を
示す説明図である。
FIG. 2 is an explanatory diagram showing a route searched by a navigation ECU.

【図3】ナビゲーションECUに入力される利用者のス
ケジュールと、該スケジュールに基づき作成されるバッ
テリ残量のスケジュールとを示す説明図である。
FIG. 3 is an explanatory diagram showing a user's schedule input to the navigation ECU and a battery remaining amount schedule created based on the schedule.

【図4】ナビゲーションECUによる目標バッテリ残量
算出処理のフローチャートである。
FIG. 4 is a flowchart of a target battery remaining amount calculation process by a navigation ECU.

【図5】図4に示す目標バッテリ残量残量算出処理にお
けるスケジューリング処理のフローチャートである。
5 is a flowchart of a scheduling process in the target battery remaining amount calculation process of FIG.

【図6】走行時におけるナビゲーションECUによる目
標バッテリ残量算出の処理を示すフローチャートであ
る。
FIG. 6 is a flowchart showing a process of calculating a target battery remaining amount by a navigation ECU during traveling.

【図7】車両ECUによるガソリン内燃機関及びモータ
制御の処理を示すフローチャートである。
FIG. 7 is a flowchart showing a process of controlling a gasoline internal combustion engine and a motor by a vehicle ECU.

【図8】第2実施例において、ナビゲーションECUに
入力される使用者のスケジュールと、該スケジュールに
基づき作成される目標バッテリ残量スケジュールとを示
す説明図である。
FIG. 8 is an explanatory diagram showing a user's schedule input to the navigation ECU and a target battery remaining amount schedule created based on the schedule in the second embodiment.

【図9】第2実施例に係るナビゲーションECUの目標
バッテリ残量残量算出処理におけるスケジューリング処
理のフローチャートである。
FIG. 9 is a flowchart of a scheduling process in a target battery remaining amount calculation process of the navigation ECU according to the second example.

【符号の説明】[Explanation of symbols]

10 ガソリン内燃機関 14 モータ 16 ドライバ 18 バッテリ 20 車両ECU20 30 ナビゲーションECU 40 端末装置 10 Gasoline Internal Combustion Engine 14 Motor 16 Driver 18 Battery 20 Vehicle ECU 20 30 Navigation ECU 40 Terminal Device

Claims (5)

【特許請求の範囲】[Claims] 【請求項1】 燃料を用いる駆動機関と、バッテリに充
電された電力によってモータを駆動するモータ駆動装置
とを有するハイブリッド車両であって、 バッテリ残量を検出するバッテリ残量検出手段と、 充電を行った出発地と、途中立ち寄る中継地と、充電を
行う目的地との位置に関する情報を保持する位置保持手
段と、 該位置保持手段に保持されている出発地、中継地及び目
的地の位置から、充電を行った出発地から充電を行う目
的地までの走行距離を算出する距離算出手段と、 該距離算出手段により算出された距離に基づき、前記バ
ッテリ残量検知手段により検知されたバッテリ残量を割
り振り、走行距離当たりの電力消費量を決定する電力消
費量決定手段とを有し、 前記モータ駆動装置が、該電力消費量決定手段により決
定された電力使用量に基づきバッテリの電力をモータへ
供給することを特徴とするハイブリッド車両。
1. A hybrid vehicle having a drive engine that uses fuel and a motor drive device that drives a motor with electric power charged in a battery, wherein a battery remaining amount detecting means for detecting a battery remaining amount and charging are performed. Position holding means for holding information on the positions of the departure place, the stopover point on the way, and the destination to be charged, and the position of the departure place, the relay place, and the destination held by the position holding means. A distance calculating means for calculating a traveling distance from a charged starting point to a charging destination, and a battery remaining amount detected by the battery remaining amount detecting means based on the distance calculated by the distance calculating means. And a power consumption determining unit that determines a power consumption per mileage, wherein the motor drive device determines the power consumption determined by the power consumption determining unit. Hybrid vehicle, characterized in that the power of the battery based on the usage supplied to the motor.
【請求項2】 前記電力消費量決定手段が、バッテリ残
量を算出された走行距離で割り、走行距離当たりの電力
消費量を決定することを特徴とする請求項1のハイブリ
ッド車両。
2. The hybrid vehicle according to claim 1, wherein the power consumption determining means determines the power consumption per traveling distance by dividing the battery remaining amount by the calculated traveling distance.
【請求項3】 燃料を用いる駆動機関と、バッテリに充
電された電力によってモータを駆動するモータ駆動装置
とを有するハイブリッド車両であって、 バッテリ残量を検出するバッテリ残量検出手段と、 今回充電を行った出発地と、今回途中立ち寄る中継地
と、今回充電を行う目的地との位置に関する情報と、次
回の出発地と、次回途中立ち寄る中継地と、次回の充電
を行う目的地との位置に関する情報と、を保持する位置
保持手段と、 今回行う充電時間が、バッテリを容量零から満充電させ
得る時間未満かを判断する充電時間判断手段と、 該位置保持手段に保持されている今回の出発地、中継地
及び目的地の位置から、今回充電を行った出発地から今
回充電を行う目的地までの走行距離と、次回の出発地、
中継地及び目的地の位置から、次回の出発地から次回充
電を行う目的地までの走行距離とを算出する距離算出手
段と、 前記充電時間判断手段が、今回の充電時間をバッテリの
満充電時間未満であると判断した場合に、前記距離算出
手段によって算出された今回の走行距離と次回の走行距
離とを比較し、次回の走行距離が長い際には、今回の走
行距離と次回の走行距離との比較に応じて、今回走行時
のバッテリ残量を決定するバッテリ残量決定手段と、 前記バッテリ残量検知手段により検知されたバッテリ残
量から、該バッテリ残量決定手段により決定されたバッ
テリ残量を引いた量を、前記距離算出手段により算出さ
れた今回の走行距離に基づき割り振り走行距離当たりの
電力消費量を決定する電力消費量決定手段とを有し、 前記モータ駆動装置が、該電力消費量決定手段により決
定された電力使用量に基づきバッテリの電力をモータに
供給することを特徴とするハイブリッド車両。
3. A hybrid vehicle having a drive engine that uses fuel and a motor drive device that drives a motor by electric power charged in a battery, wherein a battery remaining amount detecting means for detecting a battery remaining amount, and a current charging Information on the location of the departure place, the stopover this time on the way, and the destination to charge this time, the position of the next start point, the stoppoint to stop on the next time, and the destination to charge the next time Information relating to the current position, a position holding means for holding the current charging time, a charging time determining means for determining whether the charging time to be performed this time is less than a time at which the battery can be fully charged from zero capacity, and a current holding time held in the position holding means. From the location of the starting point, the relay point, and the destination, the mileage from the starting point that was charged this time to the destination that is charging this time, and the next starting point,
Distance calculation means for calculating the traveling distance from the next departure point to the destination to be charged next time from the positions of the relay point and the destination, and the charging time determination means, the current charging time, the full charge time of the battery When it is determined that the distance is less than, the current mileage calculated by the distance calculating means and the next mileage are compared, and when the next mileage is long, the current mileage and the next mileage are compared. A battery remaining amount determining means for determining a battery remaining amount at the time of traveling this time, and a battery remaining amount determined by the battery remaining amount determining means from the battery remaining amount detected by the battery remaining amount detecting means. An amount of electric power consumption determining means for allocating an amount obtained by subtracting the remaining amount based on the current traveling distance calculated by the distance calculating means, and determining an electric power consumption amount per traveling distance; Hybrid vehicle device, and supplying the power of the battery to the motor based on the power usage determined by said power consumption determining means.
【請求項4】 前記電力消費量決定手段が、前記バッテ
リ残量検知手段により検知されたバッテリ残量から、該
バッテリ残量決定手段により決定されたバッテリ残量を
引いた量を今回の走行距離で割り、走行距離当たりの電
力消費量を決定することを特徴とする請求項3のハイブ
リッド車両。
4. The current traveling distance is the amount that the power consumption determining means subtracts the battery remaining amount determined by the battery remaining amount determining device from the battery remaining amount detected by the battery remaining amount detecting device. The hybrid vehicle according to claim 3, wherein the power consumption amount per mileage is determined by dividing by.
【請求項5】 前記バッテリ残量決定手段が、今回走行
時のバッテリ残量を今回の充電時間により満充電させ得
るように決定することを特徴とする請求項3又は4のハ
イブリッド車両。
5. The hybrid vehicle according to claim 3, wherein the battery remaining amount determining means determines the battery remaining amount during traveling this time so that it can be fully charged by the current charging time.
JP6499695A 1995-02-27 1995-02-27 Hybrid vehicle Pending JPH08237810A (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
JP6499695A JPH08237810A (en) 1995-02-27 1995-02-27 Hybrid vehicle
US08/603,324 US5892346A (en) 1995-02-27 1996-02-20 Vehicle
JP2003105943A JP3539497B2 (en) 1995-02-27 2003-04-10 Hybrid vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP6499695A JPH08237810A (en) 1995-02-27 1995-02-27 Hybrid vehicle

Related Child Applications (1)

Application Number Title Priority Date Filing Date
JP2003105943A Division JP3539497B2 (en) 1995-02-27 2003-04-10 Hybrid vehicle

Publications (1)

Publication Number Publication Date
JPH08237810A true JPH08237810A (en) 1996-09-13

Family

ID=13274194

Family Applications (2)

Application Number Title Priority Date Filing Date
JP6499695A Pending JPH08237810A (en) 1995-02-27 1995-02-27 Hybrid vehicle
JP2003105943A Expired - Lifetime JP3539497B2 (en) 1995-02-27 2003-04-10 Hybrid vehicle

Family Applications After (1)

Application Number Title Priority Date Filing Date
JP2003105943A Expired - Lifetime JP3539497B2 (en) 1995-02-27 2003-04-10 Hybrid vehicle

Country Status (2)

Country Link
US (1) US5892346A (en)
JP (2) JPH08237810A (en)

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0829389A3 (en) * 1996-09-17 1998-10-14 Toyota Jidosha Kabushiki Kaisha Power output apparatus and method of controlling the same
JP2001314002A (en) * 1995-07-24 2001-11-09 Toyota Motor Corp Electric vehicle power generator control device
US6470983B1 (en) 1999-04-27 2002-10-29 Hitachi, Ltd. Hybrid vehicle
JP2003235106A (en) * 2002-02-04 2003-08-22 Sanyo Electric Co Ltd Battery control method for hybrid car
JP2003294463A (en) * 2002-04-02 2003-10-15 Nissan Motor Co Ltd Navigation system of electric automobile
WO2005068245A1 (en) * 2004-01-16 2005-07-28 Yamaha Hatsudoki Kabushiki Kaisha Hybrid vehicle
JP2006238543A (en) * 2005-02-23 2006-09-07 Hokkaido Railway Co Method and device for warming-up energy storage of rolling stock
WO2008041471A1 (en) * 2006-09-29 2008-04-10 Toyota Jidosha Kabushiki Kaisha Hybrid vehicle and hybrid vehicle travel control method
JP2008168894A (en) * 2007-01-12 2008-07-24 Ford Global Technologies Llc Power supply system for hybrid electric vehicle and operation method of same
WO2008133085A1 (en) * 2007-04-24 2008-11-06 Toyota Jidosha Kabushiki Kaisha Energy supply amount control system
WO2009020217A1 (en) * 2007-08-09 2009-02-12 Toyota Jidosha Kabushiki Kaisha Storage battery device equipped car and thermal control method of storage battery device
JP2009137456A (en) * 2007-12-06 2009-06-25 Toyota Motor Corp Charge control device
JP2010172185A (en) * 2008-12-22 2010-08-05 Aisin Aw Co Ltd Power reception guidance device
KR101033880B1 (en) * 2009-06-26 2011-05-11 현대자동차일본기술연구소 Battery charging and discharging method of electric vehicle
JP2011229356A (en) * 2010-03-31 2011-11-10 Equos Research Co Ltd Electric drive vehicle
JP2012101747A (en) * 2010-11-12 2012-05-31 Nissan Motor Co Ltd Control device of electric vehicle
JP2012525298A (en) * 2009-04-28 2012-10-22 プジョー シトロエン オートモビル エス アー Method for optimizing energy consumption of plug-in hybrid vehicle and plug-in hybrid vehicle using such method
US8774993B2 (en) 2006-11-15 2014-07-08 Toyota Jidosha Kabushiki Kaisha Hybrid vehicle and method of controlling the same
JP2017024541A (en) * 2015-07-22 2017-02-02 新明和工業株式会社 Watering wheel
JP2023543259A (en) * 2020-09-30 2023-10-13 浙江吉利控股集団有限公司 Energy replenishment method and energy replenishment management system for battery replaceable hybrid vehicles

Families Citing this family (193)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10361802B1 (en) 1999-02-01 2019-07-23 Blanding Hovenweep, Llc Adaptive pattern recognition based control system and method
US8352400B2 (en) 1991-12-23 2013-01-08 Hoffberg Steven M Adaptive pattern recognition based controller apparatus and method and human-factored interface therefore
DE19747265B4 (en) * 1997-10-25 2010-11-04 Zf Friedrichshafen Ag Hybrid drive for a vehicle
US6553308B1 (en) 1999-04-29 2003-04-22 Donnelly Corporation Vehicle-based navigation system with smart map filtering, portable unit home-base registration and multiple navigation system preferential use
US6052646A (en) * 1998-04-15 2000-04-18 Magellan Dis, Inc. Vehicle navigation system with improved powerup performance
US6554088B2 (en) * 1998-09-14 2003-04-29 Paice Corporation Hybrid vehicles
US7966078B2 (en) 1999-02-01 2011-06-21 Steven Hoffberg Network media appliance system and method
JP3536703B2 (en) * 1999-02-09 2004-06-14 株式会社日立製作所 Hybrid vehicle control method, hybrid vehicle control device, and hybrid vehicle
FR2793930B1 (en) * 1999-05-18 2002-10-18 Peugeot Citroen Automobiles Sa SYSTEM FOR MANAGING THE OPERATION OF MEANS FORMING A MOTORIZATION CHAIN OF A MOTOR VEHICLE
CA2347666C (en) * 1999-08-27 2006-03-14 Yamaha Hatsudoki Kabushiki Kaisha Hybrid-driven device
US20010033145A1 (en) 2000-02-14 2001-10-25 Filo Andrew S. Walking platforms with automatic self-stabilization
US6462498B1 (en) 2000-05-09 2002-10-08 Andrew J. Filo Self-stabilizing walking apparatus that is capable of being reprogrammed or puppeteered
US6230496B1 (en) * 2000-06-20 2001-05-15 Lockheed Martin Control Systems Energy management system for hybrid electric vehicles
JP2002168926A (en) * 2000-11-15 2002-06-14 Internatl Business Mach Corp <Ibm> Method of calculating capacity of intelligent battery, intelligent battery, and mobile electronic equipment
JP3904388B2 (en) * 2000-12-04 2007-04-11 松下電器産業株式会社 Control device for hybrid vehicle
US6805817B2 (en) * 2000-12-14 2004-10-19 Hewlett-Packard Development Company, L.P. Molecular devices activated by an electric field for electronic ink and other visual display
US6705917B2 (en) 2000-12-15 2004-03-16 Andrew S. Filo Self-phase synchronized walking and turning quadruped apparatus
US6487477B1 (en) 2001-05-09 2002-11-26 Ford Global Technologies, Inc. Strategy to use an on-board navigation system for electric and hybrid electric vehicle energy management
DE10128758A1 (en) * 2001-06-13 2002-12-19 Bosch Gmbh Robert Control system for hybrid vehicle regulates proportion of driving power performed by electric motor whereby state of charge of battery does not fall below minimum level ensuring basic functions
JP3758140B2 (en) * 2001-07-09 2006-03-22 日産自動車株式会社 Information presentation device
US8972179B2 (en) * 2006-06-20 2015-03-03 Brett Brinton Method and apparatus to analyze GPS data to determine if a vehicle has adhered to a predetermined route
JP3678185B2 (en) * 2001-09-19 2005-08-03 インターナショナル・ビジネス・マシーンズ・コーポレーション ELECTRIC DEVICE, COMPUTER DEVICE, INTELLIGENT BATTERY, BATTERY DIAGNOSIS METHOD, PROGRAM, AND STORAGE MEDIUM
JP4331905B2 (en) * 2001-09-28 2009-09-16 パイオニア株式会社 Hybrid car and control method of hybrid car
US20030236601A1 (en) * 2002-03-18 2003-12-25 Club Car, Inc. Control and diagnostic system for vehicles
JP4157317B2 (en) * 2002-04-10 2008-10-01 株式会社日立製作所 Status detection device and various devices using the same
US20040204797A1 (en) * 2003-01-16 2004-10-14 Vickers Mark F. Method and apparatus for regulating power in a vehicle
US20050228553A1 (en) * 2004-03-30 2005-10-13 Williams International Co., L.L.C. Hybrid Electric Vehicle Energy Management System
US20100044129A1 (en) * 2004-08-09 2010-02-25 Hybrid Electric Conversion Co., Llc Hybrid vehicle formed by converting a conventional ic engine powered vehicle and method of such conversion
DE502005008328D1 (en) * 2005-07-06 2009-11-26 Ford Global Tech Llc Method for predicting driving situations in a motor vehicle
JP4281725B2 (en) * 2005-09-01 2009-06-17 トヨタ自動車株式会社 Hybrid car
JP2007104799A (en) * 2005-10-04 2007-04-19 Toyota Motor Corp Vehicle power supply control device
JP2007099223A (en) * 2005-10-07 2007-04-19 Toyota Motor Corp Hybrid car
JP3927584B2 (en) * 2005-10-26 2007-06-13 三菱電機株式会社 Power control device for automobile
JP2009514505A (en) * 2005-10-28 2009-04-02 テミツク・オートモテイーベ・エレクトリツク・モータース・ゲゼルシヤフト・ミツト・ベシユレンクテル・ハフツング Automobile with electric energy source and method of operating the same
WO2007103840A2 (en) * 2006-03-06 2007-09-13 Gm Global Technology Operations, Inc. Hybrid vehicle powertrain control method and apparatus
EP1842758B1 (en) * 2006-04-03 2009-09-02 Harman Becker Automotive Systems GmbH Route determination for a hybrid vehicle and system therefor
US10056008B1 (en) 2006-06-20 2018-08-21 Zonar Systems, Inc. Using telematics data including position data and vehicle analytics to train drivers to improve efficiency of vehicle use
US7402978B2 (en) * 2006-06-30 2008-07-22 Gm Global Technology Operations, Inc. System and method for optimizing grid charging of an electric/hybrid vehicle
JP4202379B2 (en) * 2006-10-11 2008-12-24 トヨタ自動車株式会社 HYBRID VEHICLE, HYBRID VEHICLE CONTROL METHOD, PROGRAM FOR CAUSING COMPUTER TO EXECUTE THE CONTROL METHOD, AND COMPUTER-READABLE RECORDING MEDIUM CONTAINING THE PROGRAM
JP4692466B2 (en) * 2006-10-20 2011-06-01 トヨタ自動車株式会社 Control device for hybrid vehicle
JP2008100646A (en) * 2006-10-20 2008-05-01 Toyota Motor Corp Control device for hybrid vehicle
US7669676B2 (en) * 2006-10-24 2010-03-02 Larry D. Miller Trust Hybrid propulsion system and method for its operation
JP4925108B2 (en) * 2007-01-10 2012-04-25 ヤマハモーターパワープロダクツ株式会社 Electric golf cart
JP4274257B2 (en) * 2007-02-20 2009-06-03 トヨタ自動車株式会社 Hybrid vehicle
DE102007008694B4 (en) * 2007-02-20 2013-11-28 Deutsche Post Ag Method for controlling a logistics vehicle with a hybrid drive
JP4438812B2 (en) * 2007-03-27 2010-03-24 アイシン・エィ・ダブリュ株式会社 Hybrid travel assist method and hybrid travel assist device
JP4861227B2 (en) * 2007-03-30 2012-01-25 アイシン・エィ・ダブリュ株式会社 Electric vehicle drive control system and electric vehicle drive control method
JP4788643B2 (en) * 2007-04-23 2011-10-05 株式会社デンソー Charge / discharge control device for hybrid vehicle and program for the charge / discharge control device
US7865298B2 (en) * 2007-05-03 2011-01-04 Ford Motor Company System and method for providing route information to a driver of a vehicle
DE102007026320B4 (en) * 2007-06-06 2009-07-09 Siemens Enterprise Communications Gmbh & Co. Kg Method for operating a navigation system and navigation system for a motor vehicle
US7849944B2 (en) * 2007-06-12 2010-12-14 Ut-Battelle, Llc Self-learning control system for plug-in hybrid vehicles
DE102007027703A1 (en) * 2007-06-15 2009-01-29 Zf Friedrichshafen Ag Vehicle e.g. hybrid vehicle, operating method, involves discharging electrical energy storage to lower boundary value from remaining distance up to destination, where maximum of storage capacity for charging remains at destination
US8849485B2 (en) * 2007-07-06 2014-09-30 Bayerische Motoren Werke Aktiengesellscahft Utilization of navigation information for intelligent hybrid operating strategy
US9061680B2 (en) 2007-07-12 2015-06-23 Odyne Systems, Llc Hybrid vehicle drive system and method for fuel reduction during idle
WO2013081657A1 (en) 2011-12-02 2013-06-06 Odyne Systems, Llc System for and method of fuel optimization in a hybrid vehicle
US8408341B2 (en) 2007-07-12 2013-04-02 Odyne Systems, Llc Hybrid vehicle drive system and method and idle reduction system and method
US8978798B2 (en) 2007-10-12 2015-03-17 Odyne Systems, Llc Hybrid vehicle drive system and method and idle reduction system and method
US20120207620A1 (en) 2007-07-12 2012-08-16 Odyne Systems, LLC. Hybrid vehicle drive system and method and idle reduction system and method
US7782021B2 (en) * 2007-07-18 2010-08-24 Tesla Motors, Inc. Battery charging based on cost and life
US8055441B2 (en) * 2007-07-27 2011-11-08 Mitac International Corporation Supplemental powered information receiver
JP4687698B2 (en) 2007-09-06 2011-05-25 トヨタ自動車株式会社 Fuel-saving driving support device
EP2195184A4 (en) * 2007-09-20 2011-03-09 Better Place GmbH ELECTRIC VEHICLE NETWORK
US20090123814A1 (en) * 2007-10-09 2009-05-14 Mason Cabot Power source and method of managing a power source
JP4333798B2 (en) * 2007-11-30 2009-09-16 トヨタ自動車株式会社 Charge control device and charge control method
US8624549B2 (en) 2008-02-19 2014-01-07 Bloom Energy Corporation Fuel cell system for charging an electric vehicle
JP4924478B2 (en) * 2008-02-29 2012-04-25 アイシン・エィ・ダブリュ株式会社 Driving support apparatus, method and program
US9233622B2 (en) * 2008-03-11 2016-01-12 General Electric Company System and method for managing an amount of stored energy in a powered system
WO2009121014A1 (en) * 2008-03-27 2009-10-01 Mission Motor Company Method for managing a modular power source
JP4927016B2 (en) * 2008-03-31 2012-05-09 トヨタ自動車株式会社 Navigation system and hybrid vehicle equipped with the same
US20100136405A1 (en) * 2008-04-02 2010-06-03 Karl Johnson Battery pack with optimized mechanical, electrical, and thermal management
US20090263708A1 (en) * 2008-04-02 2009-10-22 Josh Bender System and method of integrated thermal management for a multi-cell battery pack
US7999506B1 (en) 2008-04-09 2011-08-16 SeventhDigit Corporation System to automatically recharge vehicles with batteries
DE102008021045A1 (en) 2008-04-26 2008-10-30 Daimler Ag Energy managment system e.g. for vehicles with electro drive, integrates topological and other data for navigation system on route with prospective settlement of electrical energy in car made with mixed calculation
JP2009286254A (en) * 2008-05-29 2009-12-10 Denso Corp In-vehicle device and program
US8332535B2 (en) * 2008-07-09 2012-12-11 International Business Machines Corporation System and method for providing privacy and limited exposure services for location based services
US9853488B2 (en) 2008-07-11 2017-12-26 Charge Fusion Technologies, Llc Systems and methods for electric vehicle charging and power management
US20100094496A1 (en) * 2008-09-19 2010-04-15 Barak Hershkovitz System and Method for Operating an Electric Vehicle
DE102008047923A1 (en) * 2008-09-19 2010-03-25 Volkswagen Ag Operation i.e. driving operation, optimizing method for e.g. ship, involves presetting driven distance and optimizing driving operation such that loading condition of battery lies on minimum value under consideration of boundary conditions
JP5077195B2 (en) * 2008-11-11 2012-11-21 アイシン・エィ・ダブリュ株式会社 Driving support device, method and program
US8316976B2 (en) * 2008-11-20 2012-11-27 Mission Motor Company Frame for a ride-on vehicle having a plurality of battery packs
JP2010154638A (en) * 2008-12-25 2010-07-08 Nissan Motor Co Ltd Battery charge control device for motor vehicle
JP5195462B2 (en) * 2009-01-27 2013-05-08 日産自動車株式会社 Control device for hybrid vehicle
EP2221581B1 (en) * 2009-02-18 2017-07-19 Harman Becker Automotive Systems GmbH Method of estimating a propulsion-related operating parameter
US8180509B2 (en) * 2009-03-12 2012-05-15 Ford Global Technologies, Llc Tail pipe emissions mode control for hybrid electric vehicles
EP2230119A3 (en) * 2009-03-17 2011-02-23 Yang,, An-Tao Anthony Hybrid propulsion system
KR101197349B1 (en) * 2009-03-17 2012-11-05 알리스 에이알케이 코. 엘티디. Method of power management for plug-in hybrid and electric vehicle
JP5434229B2 (en) * 2009-04-22 2014-03-05 株式会社デンソー Charge control device
JP5332907B2 (en) * 2009-05-27 2013-11-06 日産自動車株式会社 Battery charging control device for electric vehicle
JP5458667B2 (en) * 2009-05-27 2014-04-02 日産自動車株式会社 Battery charging control device for electric vehicle
DE102009025132A1 (en) * 2009-06-17 2010-12-23 Bayerische Motoren Werke Aktiengesellschaft Energy storage charging system
JP5563574B2 (en) * 2009-07-15 2014-07-30 パナソニック株式会社 Power control system, power control method, power control apparatus, and power control program
JP5413042B2 (en) * 2009-08-07 2014-02-12 株式会社デンソー Storage information output device and storage information output system
DE102009028867A1 (en) * 2009-08-25 2011-03-03 Robert Bosch Gmbh Method and device for operating a hybrid drive of a vehicle
CN102596672B (en) 2009-09-15 2015-03-04 Kpit技术有限责任公司 Motor assistance for a hybrid vehicle based on predicted driving range
WO2011039769A2 (en) * 2009-09-15 2011-04-07 Kpit Cummins Infosystems Ltd. Hybrid drive system with reduced power requirement for vehicle
CN102792009A (en) * 2009-09-15 2012-11-21 Kpit康明斯信息系统有限责任公司 Hybrid drive system for vehicle having engine as prime mover
US8423214B2 (en) 2009-09-15 2013-04-16 Kpit Cummins Infosystems, Ltd. Motor assistance for a hybrid vehicle
JP5926182B2 (en) * 2009-09-15 2016-05-25 ケーピーアイティ テクノロジーズ リミテッド Hybrid vehicle motor assistance based on user input
MX2012003114A (en) 2009-09-15 2012-06-19 Kpit Cummins Infosystems Ltd Method of converting vehicle into hybrid vehicle.
US8825243B2 (en) * 2009-09-16 2014-09-02 GM Global Technology Operations LLC Predictive energy management control scheme for a vehicle including a hybrid powertrain system
US20110130885A1 (en) * 2009-12-01 2011-06-02 Bowen Donald J Method and system for managing the provisioning of energy to or from a mobile energy storage device
GB2476107A (en) * 2009-12-14 2011-06-15 Gm Global Tech Operations Inc A battery charging system for hybrid vehicles
JP4888549B2 (en) * 2009-12-25 2012-02-29 トヨタ自動車株式会社 Control device and control method for hybrid vehicle
JP4840503B2 (en) * 2009-12-25 2011-12-21 トヨタ自動車株式会社 Control device and control method for hybrid vehicle
US8463473B2 (en) * 2010-01-10 2013-06-11 Ford Global Technologies, Llc Charge utilization control system and method
JP2011158322A (en) * 2010-01-29 2011-08-18 Fujitsu Ten Ltd Information processor and destination search method
DE102010010149A1 (en) * 2010-03-04 2011-09-08 Daimler Ag Motor vehicle driving device
US8423273B2 (en) * 2010-03-30 2013-04-16 Honda Motor Co., Ltd. Minimum energy route for a motor vehicle
US8527132B2 (en) 2010-03-30 2013-09-03 Honda Motor Co., Ltd. Energy maps and method of making
US9145048B2 (en) * 2010-03-31 2015-09-29 General Electric Company Apparatus for hybrid engine control and method of manufacture same
JP5556682B2 (en) 2010-03-31 2014-07-23 アイシン・エィ・ダブリュ株式会社 Route display device, route display method, route display program, and route display system
JP5771902B2 (en) * 2010-04-14 2015-09-02 ソニー株式会社 Route guidance device, route guidance method and computer program
US8312954B2 (en) 2010-04-22 2012-11-20 Mission Motor Company Frame for a two wheeled electric vehicle
US8374740B2 (en) * 2010-04-23 2013-02-12 GM Global Technology Operations LLC Self-learning satellite navigation assisted hybrid vehicle controls system
AT507916B1 (en) * 2010-04-29 2012-01-15 Avl List Gmbh METHOD FOR OPERATING AN ELECTRIC VEHICLE
JP5494270B2 (en) * 2010-06-17 2014-05-14 日産自動車株式会社 Information providing apparatus and information providing method
US9091559B2 (en) 2010-06-17 2015-07-28 International Business Machines Corporation Managing electrical power utilization in an electric vehicle
DE102010030309A1 (en) 2010-06-21 2011-12-22 Ford Global Technologies, Llc Method and device for determining an energy consumption optimized route
AT508065B1 (en) * 2010-06-24 2012-09-15 Avl List Gmbh METHOD FOR OPERATING AN ELECTRIC VEHICLE
US20120035792A1 (en) 2010-08-04 2012-02-09 Daimler Ag Hybrid Motor Vehicle Device
FR2964611A1 (en) * 2010-09-09 2012-03-16 Peugeot Citroen Automobiles Sa Method for charging battery of hybrid motor vehicle, involves triggering charging of battery when vehicle is at distance less than determined limit value of average localization of localization groups
DE102010045032A1 (en) * 2010-09-10 2012-03-15 Audi Hungaria Motor Kft. Automobile with electric drive and battery and method for operating a device for charging a battery
US8549838B2 (en) 2010-10-19 2013-10-08 Cummins Inc. System, method, and apparatus for enhancing aftertreatment regeneration in a hybrid power system
US20110225105A1 (en) * 2010-10-21 2011-09-15 Ford Global Technologies, Llc Method and system for monitoring an energy storage system for a vehicle for trip planning
JP5461365B2 (en) * 2010-11-04 2014-04-02 本田技研工業株式会社 Cruising range display device
DE102011086903A1 (en) 2010-11-25 2012-05-31 Denso Corporation Electricity demand estimation device for estimating consumption of electrical power during movement of electric car, has estimation portion provided in vehicle to estimate electricity demand for drive of vehicle
KR101154307B1 (en) * 2010-12-03 2012-06-14 기아자동차주식회사 Device and method for calculating distance to empty of electric vehicle
CN102542833B (en) * 2010-12-07 2014-04-09 北京四维图新科技股份有限公司 Method, device and system for managing energy of motor vehicle
US8833496B2 (en) 2010-12-20 2014-09-16 Cummins Inc. System, method, and apparatus for battery pack thermal management
US8742701B2 (en) 2010-12-20 2014-06-03 Cummins Inc. System, method, and apparatus for integrated hybrid power system thermal management
US8401722B2 (en) * 2010-12-22 2013-03-19 Ford Global Technologies, Llc System and method for charging a vehicle battery
KR101317686B1 (en) * 2010-12-27 2013-10-15 한국과학기술원 Electric cycle air conditioning control device and method for online electric vehicle
CN102069798B (en) * 2010-12-29 2013-11-06 浙江钱江摩托股份有限公司 A control device and control method for a parallel mild hybrid electric motorcycle
US8473177B2 (en) 2010-12-31 2013-06-25 Cummins, Inc. Apparatuses, methods, and systems for thermal management of hybrid vehicle SCR aftertreatment
US9096207B2 (en) 2010-12-31 2015-08-04 Cummins Inc. Hybrid vehicle powertrain cooling system
US9043060B2 (en) 2010-12-31 2015-05-26 Cummins Inc. Methods, systems, and apparatuses for driveline load management
US8849499B2 (en) * 2011-01-06 2014-09-30 Ford Global Technologies, Llc Methods and systems for monitoring a vehicle's energy source
US20110224852A1 (en) * 2011-01-06 2011-09-15 Ford Global Technologies, Llc Methods and system for selectively charging a vehicle
US9057621B2 (en) * 2011-01-11 2015-06-16 GM Global Technology Operations LLC Navigation system and method of using vehicle state information for route modeling
CN103402809B (en) 2011-01-13 2016-11-09 卡明斯公司 Systems, methods and apparatus for controlling power output distribution in a hybrid powertrain
DE102011008675A1 (en) * 2011-01-15 2012-07-19 Daimler Ag Method for charging a battery of a vehicle
FR2970823A1 (en) * 2011-01-26 2012-07-27 Peugeot Citroen Automobiles Sa Electric battery e.g. main battery, recharging controlling device for use in charger of e.g. hybrid car, has processing unit for determining recharging parameters based on charging states and storage capacities of batteries
US10065628B2 (en) * 2011-05-09 2018-09-04 Ford Global Technologies, Llc Location enhanced distance until charge (DUC) estimation for a plug-in hybrid electric vehicle (PHEV)
DE102011102766A1 (en) 2011-05-28 2012-11-29 Audi Ag Hybrid vehicle and method for operating a device for charging a battery in a hybrid vehicle
DE102011104153A1 (en) * 2011-06-14 2012-12-20 Continental Automotive Gmbh Method for displaying the range of a vehicle with electric drive and display device
US20130009765A1 (en) * 2011-07-06 2013-01-10 Ford Global Technologies, Llc Methods and systems for determining a range limit based on a vehicle's energy source status
US20130041552A1 (en) 2011-08-11 2013-02-14 Ford Global Technologies, Llc Methods and Apparatus for Estimating Power Usage
US8589076B2 (en) * 2011-09-14 2013-11-19 International Business Machines Corporation Power usage planning for a vehicle
US8907776B2 (en) 2011-10-05 2014-12-09 Ford Global Technologies, Llc Method and apparatus for do not disturb message delivery
CN102501776B (en) * 2011-10-28 2015-01-21 三门峡速达交通节能科技股份有限公司 Composite power energy management prediction control system of pure-electric vehicle
DE102011118543A1 (en) 2011-11-15 2012-05-16 Daimler Ag Method for controlling or regulating hybrid drive train of hybrid vehicle, involves controlling charging condition of energy storage based on lying-ahead route, recuperable electrical energy and/or energy requirement of functions
US11225240B2 (en) 2011-12-02 2022-01-18 Power Technology Holdings, Llc Hybrid vehicle drive system and method for fuel reduction during idle
US12330657B2 (en) 2011-12-02 2025-06-17 Power Technology Holdings Llc Hybrid vehicle drive system and method for fuel reduction during idle
DE102012011605A1 (en) * 2011-12-06 2013-06-06 Volkswagen Aktiengesellschaft Method and apparatus for providing an electronic scheduler for a vehicle
US8849742B2 (en) 2012-01-24 2014-09-30 Ford Global Technologies, Llc Method and apparatus for providing charging state alerts
US20130261939A1 (en) 2012-04-01 2013-10-03 Zonar Systems, Inc. Method and apparatus for matching vehicle ecu programming to current vehicle operating conditions
US8751084B2 (en) 2012-05-08 2014-06-10 Curtis Instruments, Inc. Vehicle component recognition and adjustment for energy efficiency
EP2689982B1 (en) * 2012-07-26 2017-11-08 Fujitsu Limited Method of operating hybrid vehicles
JP2014094698A (en) * 2012-11-12 2014-05-22 Toyota Industries Corp Vehicle control device
US9043085B2 (en) 2013-01-11 2015-05-26 Johnson Controls Technology Company Vehicle accessory load controller and method
US9462545B2 (en) 2013-03-14 2016-10-04 Ford Global Technologies, Llc Method and apparatus for a battery saver utilizing a sleep and vacation strategy
US9066298B2 (en) 2013-03-15 2015-06-23 Ford Global Technologies, Llc Method and apparatus for an alert strategy between modules
DE102013205893A1 (en) * 2013-04-03 2014-10-09 Bayerische Motoren Werke Aktiengesellschaft A method of controlling a state of charge of a vehicle battery
CN103318046B (en) * 2013-06-27 2016-04-06 厦门金龙联合汽车工业有限公司 A kind of pure electric light bus dynamic assembly
JP5967051B2 (en) * 2013-10-21 2016-08-10 トヨタ自動車株式会社 Movement support device, movement support method, and driving support system
WO2015074074A1 (en) 2013-11-18 2015-05-21 Odyne Systems, Llc Hybrid vehicle drive system and method using split shaft power take off
JP6201808B2 (en) * 2014-02-24 2017-09-27 トヨタ自動車株式会社 Movement support device, movement support method, and driving support system
CN103863125B (en) * 2014-03-18 2016-08-17 安徽安凯汽车股份有限公司 A kind of after-treatment algorithm of Remainder Range of Electric Vehicle
DE102014205252B4 (en) * 2014-03-20 2023-12-14 Vitesco Technologies GmbH Method for controlling a hybrid drive of a vehicle
DE102014205246B4 (en) * 2014-03-20 2023-12-14 Vitesco Technologies GmbH Method for controlling a hybrid drive of a vehicle
DE102014214806A1 (en) * 2014-07-29 2016-02-04 Bayerische Motoren Werke Aktiengesellschaft Charge to charging stations for range extension
DE102014219260A1 (en) * 2014-09-24 2016-03-24 Technisat Digital Gmbh Operating a drive device of a vehicle using a control device
CN105620484A (en) * 2014-10-29 2016-06-01 深圳富泰宏精密工业有限公司 Fuel makeup reminding system and method
US9616879B2 (en) * 2015-05-14 2017-04-11 Ford Global Technologies, Llc Battery state of charge control with preview information classification
EP3166198B1 (en) * 2015-11-06 2019-08-14 Bayerische Motoren Werke Aktiengesellschaft Method, device and computer program product for collecting data of a mobile device in a vehicle
EP3173304A1 (en) * 2015-11-25 2017-05-31 Magna Steyr Fahrzeugtechnik AG & Co KG Method for determining a driving route
DE102016209753A1 (en) * 2015-12-14 2017-06-14 Bayerische Motoren Werke Aktiengesellschaft Providing route information for hydrogen and / or electric powered vehicles
JP2017178083A (en) 2016-03-30 2017-10-05 トヨタ自動車株式会社 Hybrid motorcar
DE112016006782T5 (en) * 2016-05-25 2019-01-24 Ford Global Technologies, Llc Methods and devices for charging electric vehicles
KR101927180B1 (en) * 2016-10-25 2018-12-10 현대자동차 주식회사 Method and apparatus for charging auxiliary battery of vehicle including driving motor
JP6234540B1 (en) * 2016-11-25 2017-11-22 本田技研工業株式会社 Power transaction mediation system, program, and power transaction mediation method
JP6583244B2 (en) * 2016-12-19 2019-10-02 トヨタ自動車株式会社 Control device for hybrid vehicle
US10793013B2 (en) * 2017-01-27 2020-10-06 Toyota Motor Engineering & Manufacturing North America, Inc. Automatic timer cancellation for charging vehicle
US20190111939A1 (en) * 2017-10-13 2019-04-18 Ford Global Technologies, Llc Miles to empty accuracy enhancement
JP7067020B2 (en) 2017-11-02 2022-05-16 トヨタ自動車株式会社 Electric car
JP2019131112A (en) * 2018-02-01 2019-08-08 本田技研工業株式会社 Vehicle control system, vehicle control method, and program
JP7031105B2 (en) * 2018-02-23 2022-03-08 サンデン・オートモーティブクライメイトシステム株式会社 Vehicle control system
US11001161B2 (en) * 2019-02-15 2021-05-11 Ford Global Technologies, Llc Electric vehicle charging scheduler
US20230061155A1 (en) * 2020-01-03 2023-03-02 Volvo Truck Corporation Method for controlling operation of a vehicle
US11794717B2 (en) * 2021-05-02 2023-10-24 Cummins Inc. Power management for hybrid electric vehicles
JP7544084B2 (en) * 2022-02-09 2024-09-03 トヨタ自動車株式会社 vehicle
CN115727867A (en) * 2022-11-15 2023-03-03 长城汽车股份有限公司 Vehicle energy control method and device, electronic equipment, storage medium and vehicle
KR20240130481A (en) 2023-02-22 2024-08-29 현대자동차주식회사 Apparatus for controlling a hybrid vehicle, system having the same and method thereof

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5813140A (en) * 1981-07-17 1983-01-25 Nissan Motor Co Ltd Electronic engine control device with external adjustment function
US4672280A (en) * 1983-12-27 1987-06-09 Casio Computer Co., Ltd. Mobile robot calling system
US5280431A (en) * 1985-08-30 1994-01-18 Texas Instruments Incorporated Method for controlling the movements of a mobile robot in a multiple node factory
US4751658A (en) * 1986-05-16 1988-06-14 Denning Mobile Robotics, Inc. Obstacle avoidance system
US4777416A (en) * 1986-05-16 1988-10-11 Denning Mobile Robotics, Inc. Recharge docking system for mobile robot
US5204814A (en) * 1990-11-13 1993-04-20 Mobot, Inc. Autonomous lawn mower
JP3131248B2 (en) * 1991-08-02 2001-01-31 本田技研工業株式会社 Running performance control device for electric vehicles
EP0628833B1 (en) * 1993-06-08 2000-03-08 Honda Giken Kogyo Kabushiki Kaisha System for monitoring residual capacity of battery
DE4344368C1 (en) * 1993-12-24 1995-05-11 Daimler Benz Ag Charge information system for an electrical or hybrid vehicle
JP2878953B2 (en) * 1993-12-27 1999-04-05 本田技研工業株式会社 Method for detecting remaining capacity of battery for electric vehicle
JPH07198808A (en) * 1993-12-28 1995-08-01 Honda Motor Co Ltd Battery remaining capacity display for electric vehicles
JP3115197B2 (en) 1994-10-21 2000-12-04 本田技研工業株式会社 Automotive display device

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001314002A (en) * 1995-07-24 2001-11-09 Toyota Motor Corp Electric vehicle power generator control device
US6166449A (en) * 1996-09-17 2000-12-26 Toyota Jidosha Kabushiki Kaisha Power output apparatus having a battery with a high charge-discharge efficiency
EP0829389A3 (en) * 1996-09-17 1998-10-14 Toyota Jidosha Kabushiki Kaisha Power output apparatus and method of controlling the same
US6470983B1 (en) 1999-04-27 2002-10-29 Hitachi, Ltd. Hybrid vehicle
JP2003235106A (en) * 2002-02-04 2003-08-22 Sanyo Electric Co Ltd Battery control method for hybrid car
JP2003294463A (en) * 2002-04-02 2003-10-15 Nissan Motor Co Ltd Navigation system of electric automobile
WO2005068245A1 (en) * 2004-01-16 2005-07-28 Yamaha Hatsudoki Kabushiki Kaisha Hybrid vehicle
JP2006238543A (en) * 2005-02-23 2006-09-07 Hokkaido Railway Co Method and device for warming-up energy storage of rolling stock
WO2008041471A1 (en) * 2006-09-29 2008-04-10 Toyota Jidosha Kabushiki Kaisha Hybrid vehicle and hybrid vehicle travel control method
US8774993B2 (en) 2006-11-15 2014-07-08 Toyota Jidosha Kabushiki Kaisha Hybrid vehicle and method of controlling the same
JP2008168894A (en) * 2007-01-12 2008-07-24 Ford Global Technologies Llc Power supply system for hybrid electric vehicle and operation method of same
WO2008133085A1 (en) * 2007-04-24 2008-11-06 Toyota Jidosha Kabushiki Kaisha Energy supply amount control system
US9568329B2 (en) 2007-04-24 2017-02-14 Toyota Jidosha Kabushiki Kaisha Energy replenishment quantity control system
US8417403B2 (en) 2007-08-09 2013-04-09 Toyota Jidosha Kabushiki Kaisha Vehicle equipped with power storage device and temperature control method of power storage device
WO2009020217A1 (en) * 2007-08-09 2009-02-12 Toyota Jidosha Kabushiki Kaisha Storage battery device equipped car and thermal control method of storage battery device
JP2009137456A (en) * 2007-12-06 2009-06-25 Toyota Motor Corp Charge control device
JP2010172185A (en) * 2008-12-22 2010-08-05 Aisin Aw Co Ltd Power reception guidance device
JP2012525298A (en) * 2009-04-28 2012-10-22 プジョー シトロエン オートモビル エス アー Method for optimizing energy consumption of plug-in hybrid vehicle and plug-in hybrid vehicle using such method
KR101033880B1 (en) * 2009-06-26 2011-05-11 현대자동차일본기술연구소 Battery charging and discharging method of electric vehicle
JP2011229356A (en) * 2010-03-31 2011-11-10 Equos Research Co Ltd Electric drive vehicle
JP2012101747A (en) * 2010-11-12 2012-05-31 Nissan Motor Co Ltd Control device of electric vehicle
JP2017024541A (en) * 2015-07-22 2017-02-02 新明和工業株式会社 Watering wheel
JP2023543259A (en) * 2020-09-30 2023-10-13 浙江吉利控股集団有限公司 Energy replenishment method and energy replenishment management system for battery replaceable hybrid vehicles

Also Published As

Publication number Publication date
JP3539497B2 (en) 2004-07-07
JP2004007969A (en) 2004-01-08
US5892346A (en) 1999-04-06

Similar Documents

Publication Publication Date Title
JPH08237810A (en) Hybrid vehicle
CN101981412B (en) Navigation system, hybrid vehicle equipped with same, and route search method thereof
CN101517361B (en) Display device for vehicle and control method for display device for vehicle
CN103223942B (en) For operating method and the hybrid power unit of the hybrid power unit of self-propelled vehicle
JP4637443B2 (en) Vehicle control system and control method
JP7176376B2 (en) vehicle controller
CN104185584B (en) Driving force control device for hybrid vehicle and driving force control method for hybrid vehicle
US20130024055A1 (en) Adaptive energy management in a hybrid vehicle
KR101836250B1 (en) Method and apparatus of controlling output voltage of dc converter for vehicle including driving motor
CN101516703A (en) Vehicle control device, vehicle control method, program for causing computer to execute vehicle control method, and recording medium having program recorded thereon
EP3648440B1 (en) Communication control device, communication system, method of controlling communication
US20220252402A1 (en) Route Planning Device, Route Planning Method, and Route Planning System
JP7363826B2 (en) Vehicle control device and vehicle control method
CN113858968A (en) Energy distribution control method and system for extended range electric vehicle
JP3945352B2 (en) Control device for hybrid vehicle
JP2003070102A (en) Hybrid vehicle control device
CN112277926A (en) Vehicle control device
JP2004056867A (en) Hybrid vehicle control system
JP2010154638A (en) Battery charge control device for motor vehicle
JP6918261B2 (en) Plug-in hybrid vehicle
US11772630B2 (en) Control device for hybrid vehicle and control method for hybrid vehicle
JP7715135B2 (en) Hybrid Electric Vehicle
JP2023072925A (en) vehicle