WO2019153190A1 - Procédé de commande de conduite d'un véhicule électrique, dispositif de commande, véhicule électrique et support d'enregistrement - Google Patents

Procédé de commande de conduite d'un véhicule électrique, dispositif de commande, véhicule électrique et support d'enregistrement Download PDF

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Publication number
WO2019153190A1
WO2019153190A1 PCT/CN2018/075835 CN2018075835W WO2019153190A1 WO 2019153190 A1 WO2019153190 A1 WO 2019153190A1 CN 2018075835 W CN2018075835 W CN 2018075835W WO 2019153190 A1 WO2019153190 A1 WO 2019153190A1
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WO
WIPO (PCT)
Prior art keywords
electric vehicle
data
driving
traveled
output voltage
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Application number
PCT/CN2018/075835
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English (en)
Chinese (zh)
Inventor
阳光
李玥
Original Assignee
深圳配天智能技术研究院有限公司
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Application filed by 深圳配天智能技术研究院有限公司 filed Critical 深圳配天智能技术研究院有限公司
Priority to CN201880002011.XA priority Critical patent/CN109311402B/zh
Priority to PCT/CN2018/075835 priority patent/WO2019153190A1/fr
Publication of WO2019153190A1 publication Critical patent/WO2019153190A1/fr

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L50/00—Electric propulsion with power supplied within the vehicle
    • B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
    • B60L50/60—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/18—Propelling the vehicle
    • B60W30/182—Selecting between different operative modes, e.g. comfort and performance modes
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/10—Vehicle control parameters
    • B60L2240/12—Speed
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/60—Navigation input
    • B60L2240/64—Road conditions
    • B60L2240/642—Slope of road
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/60—Navigation input
    • B60L2240/64—Road conditions
    • B60L2240/645—Type of road
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L2260/00—Operating Modes
    • B60L2260/40—Control modes
    • B60L2260/50—Control modes by future state prediction
    • B60L2260/54—Energy consumption estimation
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

Definitions

  • the present application relates to the field of electric vehicle technology, and in particular, to a method, a controller, an electric vehicle, and a storage medium for controlling driving of an electric vehicle.
  • the inventor of the present application found that for different road conditions, the electric vehicle has different driving conditions, which causes the energy consumed by it to be different.
  • the process of controlling the electric vehicle there is a lack of driving mode for the electric vehicle.
  • the planning which leads to the unreasonable use of the battery power of the electric vehicle, makes the electric vehicle's battery life generally low.
  • the technical problem mainly solved by the present application is to provide a method, a controller, an electric vehicle and a storage medium for controlling the driving of an electric vehicle, which can improve the endurance of the electric vehicle.
  • a technical solution adopted by the present application is to provide a method for controlling driving of an electric vehicle, including:
  • the optimal driving mode enables the electric vehicle to consume the least amount of energy when driving the road section to be driven.
  • a controller including: a processor and a memory, where the memory is coupled to the processor, and the processor controls itself and the The memory is implemented to implement the steps in the above method of controlling the travel of the electric vehicle.
  • Another technical solution adopted by the present application is to provide an electric vehicle including the above controller.
  • another technical solution adopted by the present application is to provide a storage medium storing program data, the program data being executable to implement the steps in the method for controlling driving of an electric vehicle. .
  • the method for controlling the driving of the electric vehicle in the present application includes: obtaining road condition data of the road section to be driven, current state data of the electric vehicle, and historical data of the driving of the electric vehicle; The road condition data of the driving section, the current state data of the electric vehicle and the historical data of the electric vehicle driving, plan the optimal driving mode of the road section to be driven by the electric vehicle; control the electric vehicle to drive on the road section to be driven according to the optimal driving mode, The method can combine the historical data of the electric vehicle driving, the road condition data of the road section to be driven, and the current state data of the electric vehicle to plan the optimal driving mode of the electric vehicle, and control the electric vehicle to perform on the to-be-traveled section according to the optimal driving mode. Driving, so that the electric vehicle can consume the least amount of energy and improve the battery life.
  • FIG. 1 is a schematic flow chart of an embodiment of a method for controlling driving of an electric vehicle according to the present application
  • FIG. 2 is a schematic flow chart of another embodiment of a method for controlling driving of an electric vehicle according to the present application
  • FIG. 3 is a schematic flow chart of still another embodiment of a method for controlling driving of an electric vehicle according to the present application
  • FIG. 4 is a schematic structural diagram of an embodiment of a controller of the present application.
  • FIG. 5 is a schematic structural view of an embodiment of an electric vehicle of the present application.
  • FIG. 6 is a schematic structural diagram of an embodiment of a storage medium of the present application.
  • FIG. 1 is a schematic flowchart of an embodiment of a method for controlling driving of an electric vehicle according to the present application. The method includes:
  • S100 Obtain road condition data of the road section to be driven, status data of the current electric vehicle, and historical data of the electric vehicle travel.
  • the road section to be driven refers to the road section that the electric vehicle is about to travel. For example, before the user travels, the driving start point and the end point input by the user on the electric vehicle are obtained, and the road section to be traveled is determined according to the starting point and the end point, thereby obtaining the to-be-driving road.
  • the road condition data of the road section or when the electric vehicle is driving, obtains the current positioning through the GPS, and according to the driving habit of the user history, judges and analyzes the road section that the user is most likely to enter, and uses the road section as the road section to be driven, and then obtains the waiting section.
  • Road condition data of the driving section or when the electric vehicle is driving, obtains the current positioning through the GPS, and according to the driving habit of the user history, judges and analyzes the road section that the user is most likely to enter, and uses the road section as the road section to be driven, and then obtains the waiting section.
  • Road condition data of the driving section or when the electric vehicle is driving, obtains the current positioning through
  • the current state data of the electric vehicle refers to the state data of the electric vehicle before or after the driving of the road section to be traveled, and specifically includes various indicators that can reflect the current electric vehicle capability.
  • the road condition data from point A to point B is acquired, and the state data when the electric vehicle travels to point A is acquired.
  • the historical data of the electric vehicle travel includes: historical road condition data of the electric vehicle before traveling and historical state data of the electric vehicle corresponding to the historical road condition data, the historical data can reflect the electric vehicle in different states, according to different The energy consumed when driving in various sections.
  • the road condition data of the road section to be driven, the current state data of the electric vehicle and the driving mode of the electric vehicle when driving the road section to be driven determine the energy consumed by the electric vehicle when driving the road section to be traveled, due to the road condition data of the road section to be driven, the current electric power
  • the state data of the automobile is all uncontrollable. Therefore, in the present embodiment, the optimal driving mode of the electric vehicle while driving the road section to be driven is planned to minimize the energy consumed by the electric vehicle.
  • the step specifically includes: searching for the optimal driving mode of the road condition data corresponding to the road section to be traveled and the current state data of the electric vehicle in the historical data of the electric vehicle driving, thereby planning the most traveling road section of the electric vehicle to travel Excellent driving style.
  • S300 Control the electric vehicle to drive on the road to be driven according to the optimal driving mode.
  • the electric vehicle is controlled to travel on the road section to be driven according to the optimal driving mode, so that the electric vehicle consumes the least amount of energy.
  • the electric vehicle is planned to be on the road section to be driven.
  • the optimal driving mode and the control of the electric vehicle to drive according to the optimal driving mode enable the electric vehicle to consume the least amount of energy when driving the road section to be driven, thereby improving the endurance capability of the electric vehicle.
  • FIG. 2 is a schematic flow chart of another embodiment of a method for controlling driving of an electric vehicle according to the present application.
  • the method further includes:
  • S400 Record and save the road condition data of the electric vehicle during running and the state data of the electric vehicle corresponding to the road condition data.
  • the road condition data of the electric vehicle during traveling and the state data of the electric vehicle corresponding to the road condition data are recorded and saved in real time, and the saved road condition data and the state data are performed by the power supply vehicle during the next driving.
  • the saved road condition data is historical road condition data
  • the saved state data is historical state data.
  • the road condition data of the electric vehicle can be obtained through maps, such as high-precision maps, electronic maps, or by gyroscopes installed on electric vehicles, gravity acceleration sensors, etc., or by laser ranging techniques. Means obtained. It can be understood that when the road condition data is obtained by the map, only the state data of the electric vehicle during traveling is recorded in step S400, and the road condition data is associated with the state data of the electric vehicle.
  • the historical data of the electric vehicle traveling acquired in step S100 may be historical data recorded and saved on the currently traveling electric vehicle, or may be called by the network and currently traveling. Historical data for other vehicles of the same or similar type of electric vehicles are not limited herein.
  • the road condition data includes: slope data such as the position of the flat land, the length of the flat land, the position of the uphill slope, the position of the downhill slope, the height of the uphill slope, the height of the downhill slope, the angle of the uphill slope, and the downhill slope.
  • the state data of the electric vehicle corresponding to the road condition data includes: the remaining power of the electric vehicle, the output voltage of the electric vehicle, and the traveling speed of the electric vehicle, wherein the remaining power, the output voltage, and the traveling speed of the electric vehicle are in one-to-one correspondence.
  • the traveling speed is determined by the driving road condition and the output voltage of the electric vehicle, and since the road condition is uncontrollable, in the present embodiment,
  • Step S200 specifically includes:
  • S210 In the historical data of the electric vehicle running, searching for an optimal output voltage sequence corresponding to the road condition data of the road segment to be traveled and the current state data of the electric vehicle, thereby planning an optimal output voltage sequence of the road segment to be traveled by the electric vehicle, wherein The optimal output voltage sequence enables the electric vehicle to consume the least amount of energy while driving the road segment to be traveled.
  • Step S300 specifically includes:
  • S310 Control the battery of the electric vehicle to output a voltage according to an optimal output voltage sequence, thereby controlling the electric vehicle to travel on the road to be driven according to the optimal driving mode.
  • the output voltage sequence represents the output voltage of the electric vehicle corresponding to different road segments on the road segment.
  • the road condition data and the corresponding state data are recorded and saved in the form of a table/curve in step S400.
  • the road condition data and the state data of the electric vehicle are recorded in real time, and the recorded road condition data and the state data are formed into a graph about each point on the traveling section, or the recorded road condition data,
  • the state data is discretized to form a table of road condition data and state data regarding the interval points on the travel section.
  • the slope data of each point on the road segment is recorded in real time, and the remaining power, output voltage, and traveling speed of the electric vehicle when driving to each point, and finally the slope data graph is formed.
  • the remaining power curve, the output voltage curve, and the traveling speed curve, wherein the slope data curve, the remaining power curve, the output voltage curve, and the abscissa of the driving speed graph are each point on the driving section,
  • the coordinates are slope data, remaining power, output voltage, travel speed, or a table of slope data corresponding to the interval point, the remaining power of the electric vehicle, the output voltage, and the travel speed.
  • the slope data, the remaining power, the output voltage, and the traveling speed may also be selected. Expressed in the same graph/table.
  • step S210 specifically includes:
  • the optimal output voltage sequence corresponding to the gradient data of the road section to be traveled and the remaining electric power of the current electric vehicle is searched, thereby planning the optimal output voltage sequence of the road section to be traveled by the electric vehicle.
  • step S210 in order to improve the speed of planning the optimal output voltage sequence in step S210, before searching for the optimal output voltage sequence corresponding to the gradient data of the road segment to be traveled and the current power consumption of the electric vehicle, :
  • each time an electric car travels one or more sets of graphs/tables are formed.
  • the big graph can be used to analyze the graph/form, and the electric car is counted.
  • the energy consumed when driving the segments of the same slope data with different output voltage sequences, and the resulting data is expressed in the form of a graph/table.
  • the finally obtained data is presented in the same graph/table, so that an optimal output voltage sequence corresponding to a remaining power of the electric vehicle for the same grade of the road section can be obtained.
  • the method when searching for the optimal output voltage sequence corresponding to the gradient data of the road segment to be traveled and the current power consumption of the electric vehicle, the method includes:
  • the road condition data of the road section to be driven is analyzed, and the road section to be driven is divided into several sub-sections from the start point to the end point;
  • the optimal output voltage subsequence corresponding to several sub-sections are sequentially combined to plan an optimal output voltage sequence for the electric vehicle to travel.
  • the respective output voltage subsequences are combined to obtain the final optimal output voltage sequence of the to-be-traveled section.
  • the optimal output voltage subsequences for driving several sub-sections are sequentially planned, including:
  • the remaining electric quantity after the electric vehicle travels in the sub-segment according to the optimal output voltage sub-sequence is found, and the remaining electric quantity is used as the remaining electric quantity when the electric vehicle travels to the next sub-section.
  • the road segment to be traveled is divided into several specific sub-sections from the starting point to the end point, for example, divided into a section A, a section B, a section C, a section D, according to the slope data of the section A and the current surplus of the electric vehicle.
  • the electric quantity find the corresponding section A in the historical data, the most energy-efficient optimal output voltage sub-sequence of the electric vehicle under the remaining electric quantity, and estimate the remaining electric quantity A 1 of the electric vehicle after the driving of the section A according to the historical data.
  • the optimal output voltage subsequence corresponding to the remaining energy A 1 and the section B of the remaining energy is found in the historical data, and the remaining power B 1 of the electric vehicle after the road section B is estimated is estimated.
  • the optimal output voltage subsequences are combined according to the order of the road segments, thereby obtaining the optimal output voltage corresponding to the entire road segment to be traveled.
  • the sequence enables the electric vehicle to travel on the road to be driven in accordance with the optimal driving mode.
  • the big data analysis is used to calculate the electric vehicle consumption under the same remaining power, when driving on a specific section with an uphill 30° angle and an uphill height of half a meter with several different output voltage sequences.
  • the energy situation and forms the table in Table 1 below.
  • Table 1 Energy consumption of an electric vehicle running at a specific output voltage sequence with a different output voltage sequence at an angle of 30° uphill and a specific section with an uphill height of half a meter
  • the output voltage sequence corresponding to the driving mode 1 is an optimal output voltage sequence corresponding to the electric vehicle when the remaining power is 80%.
  • Table 2 The electric vehicle runs at an angle of 30° uphill with different remaining power, and the specific section of the uphill slope is half a meter, and the driving mode corresponding to the least energy consumption
  • the road section to be traveled is divided into several specific sub-sections, for example, it can be divided into a specific sub-section 1, a specific sub-section 2, a specific sub-section 3, and the like.
  • the specific sub-segment is a specific section of the slope of 30° uphill and the slope height is half a meter, and the current state data of the electric vehicle is: 75% of the remaining electricity, the output voltage is 230V, and the driving speed is 85km/h.
  • the state data of the electric vehicle is: the remaining power 67%, the output voltage 238V, the driving speed 78km/h, corresponding to the current state data, and then find the corresponding driving specific in the table similar to Table 2
  • the output voltage sequence outputs a voltage to ensure that the electric vehicle consumes the least amount of energy when driving the road segment.
  • the state data corresponding to the current electric vehicle is found in the historical data, and the electric vehicle is used.
  • the energy consumed is used to find the driving mode of the electric vehicle with the least energy consumption, which is specifically expressed as the optimal output voltage sequence of the electric vehicle, and then the electric vehicle is controlled according to the optimal output voltage. The sequence travels on the road to be driven.
  • FIG. 3 is a schematic flow chart of another embodiment of a method for controlling driving of an electric vehicle according to the present application.
  • step S210 is to plan the most traveled section of the electric vehicle to be driven.
  • the excellent output voltage sequence also includes: planning an optimal traveling speed sequence of the electric vehicle when driving the road section to be driven.
  • the method further includes:
  • S220 Optimize the optimal output voltage sequence such that the acceleration of the electric vehicle is less than the first threshold.
  • the traveling speed of the electric vehicle is determined by the road condition data during driving and the output voltage of the electric vehicle. Therefore, in the present embodiment, after obtaining the optimal output voltage sequence, the road condition data of the road segment to be traveled and the optimal output voltage sequence are obtained.
  • the optimal travel speed sequence which can be obtained by the graph/form in the above embodiment, will not be described here.
  • the algorithm optimizes
  • the optimal output voltage sequence is used to indirectly optimize the optimal driving speed sequence to ensure that the speed of the electric vehicle is balanced during driving and improve the user experience.
  • the road condition data further includes: traffic indicator data encountered by the electric vehicle while driving, and braking frequency of the electric vehicle while driving. a road segment position greater than a second threshold, a current time, and the like, wherein the traffic indicator data includes a red light, a green light, and a duration of the yellow light encountered by the electric vehicle, and the road segment position where the braking frequency is greater than the second threshold indicates that the electric vehicle travels to The position of the road section is often braked, wherein the second threshold can be determined on a case-by-case basis.
  • the electric vehicle when planning the driving mode of an electric vehicle, it is also necessary to consider factors such as red light, traffic congestion, and easy braking position that the electric vehicle may encounter, for example, when the electric vehicle is traveling, it is found at a distance from the current position. At the crossroads of 100 meters, the traffic signal is red, and the distance to the green light is 10 seconds. Then the electric car is controlled to do the uniform deceleration immediately to ensure that the electric car arrives at the intersection just 10 seconds. Or, if the braking frequency of the electric vehicle is greater than the second threshold from the current position of 100 meters, it indicates that there may be traffic congestion at this place, and the traffic flow is not very optimistic, then the electric vehicle is controlled to slowly decelerate, thereby ensuring that the electric vehicle is driving. The user has good comfort.
  • factors such as red light, traffic congestion, and easy braking position that the electric vehicle may encounter, for example, when the electric vehicle is traveling, it is found at a distance from the current position. At the crossroads of 100 meters, the traffic signal is red
  • FIG. 4 is a schematic structural diagram of an embodiment of a controller according to the present application.
  • the controller includes: a processor 40 and a memory 41.
  • the memory 41 is coupled to the processor 40.
  • the processor 40 controls itself and the memory 41 during operation to implement the steps in the method for controlling the running of the electric vehicle in any of the above embodiments.
  • FIG. 5 is a schematic structural diagram of an embodiment of an electric vehicle according to the present application.
  • the electric vehicle 50 includes a controller 501, wherein the controller 501 is a controller in the above embodiment.
  • the controller 501 is a controller in the above embodiment.
  • the above embodiment see the above embodiment. No longer.
  • FIG. 6 is a schematic structural diagram of an embodiment of a storage medium of the present application.
  • the storage medium 60 stores program data 601, which can be executed to implement the steps in the method for controlling driving of an electric vehicle.
  • program data 601 can be executed to implement the steps in the method for controlling driving of an electric vehicle.
  • the storage medium 50 is specifically a computer storage medium, which may be, but not limited to, a terminal, a USB flash drive, an SD card, a PD optical drive, a mobile hard disk, a large-capacity floppy disk drive, a flash memory, a multimedia memory card, or a server. .

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  • Engineering & Computer Science (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

La présente invention concerne un procédé de commande de conduite d'un véhicule électrique. Le procédé comprend les étapes consistant à : acquérir des données d'état de route d'une section de route à emprunter, des données d'état d'un véhicule électrique actuel, et des données d'historique de conduite du véhicule électrique (S100) ; planifier, selon les données d'état de route, les données d'état de véhicule et les données d'historique, un mode de conduite optimal adapté au véhicule électrique circulant dans la section de route à emprunter (S200) ; et commander le véhicule électrique de telle sorte que ce dernier roule dans la section de route à emprunter (S300) dans le mode de conduite optimal. Le véhicule électrique roule dans le mode de conduite optimal, de telle sorte que le véhicule électrique consomme le moins d'énergie possible lorsqu'il circule dans la section de route à emprunter, ce qui permet d'améliorer la durée de vie du véhicule électrique. L'invention concerne également un dispositif de commande pour mettre en œuvre les étapes du procédé, un véhicule électrique ayant le dispositif de commande, et un support d'enregistrement enregistrant un programme d'exécution des étapes du procédé.
PCT/CN2018/075835 2018-02-08 2018-02-08 Procédé de commande de conduite d'un véhicule électrique, dispositif de commande, véhicule électrique et support d'enregistrement WO2019153190A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201880002011.XA CN109311402B (zh) 2018-02-08 2018-02-08 控制电动汽车行驶的方法、控制器、电动汽车及存储介质
PCT/CN2018/075835 WO2019153190A1 (fr) 2018-02-08 2018-02-08 Procédé de commande de conduite d'un véhicule électrique, dispositif de commande, véhicule électrique et support d'enregistrement

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PCT/CN2018/075835 WO2019153190A1 (fr) 2018-02-08 2018-02-08 Procédé de commande de conduite d'un véhicule électrique, dispositif de commande, véhicule électrique et support d'enregistrement

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