WO2018227986A1 - Procédé et appareil d'optimisation de mise sous tension, terminal, installation, dispositif et support de stockage - Google Patents

Procédé et appareil d'optimisation de mise sous tension, terminal, installation, dispositif et support de stockage Download PDF

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Publication number
WO2018227986A1
WO2018227986A1 PCT/CN2018/075680 CN2018075680W WO2018227986A1 WO 2018227986 A1 WO2018227986 A1 WO 2018227986A1 CN 2018075680 W CN2018075680 W CN 2018075680W WO 2018227986 A1 WO2018227986 A1 WO 2018227986A1
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Prior art keywords
battery
power
rating
charging
power battery
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PCT/CN2018/075680
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English (en)
Chinese (zh)
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杨磊君
赵帅兵
金崇奎
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上海蔚来汽车有限公司
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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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
    • 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
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods 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]
    • 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
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B60L2240/545—Temperature
    • 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
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B60L2240/547—Voltage
    • 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
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B60L2240/549—Current
    • 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
    • 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
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • 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
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/14—Plug-in electric vehicles

Definitions

  • the present invention relates to the field of power battery charging/replacement technology, and in particular, to a power battery optimization method and device for a power battery, a mobile terminal, a powering facility, a computer device, and a computer readable storage medium.
  • the power-on method of the power battery mainly includes two power-on methods of charging and replacing the battery.
  • charging refers to charging the vehicle's power battery of the electric vehicle
  • replacing the battery means replacing the energy-carrying battery that stores a certain amount of electricity into the electric vehicle.
  • the power battery completion time required by the electric vehicle user it is possible to select any one of the charging methods and the charging method.
  • the power supply is usually charged in a fast charging manner. This fast charging method often causes irreparable damage to the power battery, and may even cause the battery. Safety accidents cause huge losses to the personal and property of electric vehicle users.
  • the present invention provides A method and device for powering optimization of a power battery, a mobile terminal, a powering facility, a computer device, and a computer readable storage medium.
  • a technical solution for a power-on optimization method for a power battery according to the present invention is:
  • the method includes:
  • a battery power optimization scheme is generated based on a preset power battery power optimization strategy
  • the battery rating is: a power battery health status level determined according to a preset battery rating method according to historical charging and discharging data of the power battery;
  • the battery power optimization scheme includes a power conversion optimization scheme, and/or a charging optimization scheme.
  • the information obtained also includes the user rating of the electric vehicle
  • the information upon which the battery power optimization scheme is generated further includes the user rating
  • the user rating is: a battery loss level determined according to a preset user rating method according to the power battery state information of the preset category in the electric vehicle historical data;
  • the power conversion optimization scheme is: a battery rating of the power battery replaced when the electric vehicle is changed according to the power battery power optimization strategy;
  • the charging optimization scheme is: a charging scheme when the power battery is charged based on the power battery power optimization strategy.
  • Historical charge and discharge data of the power battery including time change data of voltage during charge and discharge, and/or time change data of current, and/or time change data of battery temperature;
  • the power battery state information of the preset category in the electric vehicle historical data includes power consumption of 100 kilometers of the power battery, and/or battery alarm information during driving, and/or battery damage information during driving.
  • the battery rating method is a method for calculating a power battery health status level K b according to the following formula, specifically:
  • K b M ⁇ Z ⁇ 100
  • the Z is a weight value corresponding to the alarm information in the charging and discharging process of the power battery, 1 ⁇ Z ⁇ 2;
  • the M is a difference degree between the historical charging and discharging data of the power battery and the preset charging and discharging data, 0 ⁇ M ⁇ 1.
  • the W is a weight value corresponding to the battery alarm information and the battery damage information; and the L is a user level value determined according to the power consumption C of 100 kilometers, specifically:
  • the C 0 is a preset power consumption reference value; Round up the symbol.
  • the power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
  • the preset rating correspondence selecting a battery rating corresponding to the user rating, and replacing the selected battery battery corresponding to the battery rating to the electric vehicle;
  • the user rating in the rating correspondence is positively related to the battery rating.
  • the power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
  • the power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
  • the power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
  • the power battery power optimization strategy is a power battery power exchange strategy, and the strategy includes:
  • the power battery power-on optimization strategy is a power-exchange strategy of the power battery, and the strategy includes: determining whether a high-risk driving condition is detected, and if yes, replacing the power battery whose battery rating is less than the first rating threshold into the electric vehicle;
  • the high-risk driving condition includes that the meteorological information corresponding to the expected travel time of the electric vehicle is worse weather, and/or the expected travel distance of the electric vehicle is greater than the distance threshold.
  • a technical solution for a power-on optimization device for a power battery according to the present invention is:
  • the device includes:
  • An information acquisition module configured to obtain a battery rating of the power battery
  • the power-on optimization solution generating module is configured to generate a battery power-on optimization scheme based on the battery rating and based on a preset power battery power-on optimization strategy;
  • the battery rating is: a power battery health status level determined according to a preset battery rating method according to historical charging and discharging data of the power battery;
  • the battery power optimization scheme includes a power conversion optimization scheme, and/or a charging optimization scheme.
  • the information acquisition module is further configured to obtain a user rating of the electric vehicle
  • the power-on optimization scheme generating module is further configured to generate a battery power-on optimization scheme based on the preset power battery power-on optimization strategy according to the user rating;
  • the user rating is: a battery loss level determined according to a preset user rating method according to the power battery state information of the preset category in the electric vehicle historical data;
  • the power conversion optimization scheme is: a battery rating of the power battery replaced when the electric vehicle is changed according to the power battery power optimization strategy;
  • the charging optimization scheme is: a charging scheme when the power battery is charged based on the power battery power optimization strategy.
  • the device further includes a battery rating setting unit, and the battery rating setting unit is configured to execute a preset battery rating method, and the battery rating method is a method for calculating a power battery health state level K b according to the following formula, specifically:
  • K b M ⁇ Z ⁇ 100
  • the Z is a weight value corresponding to the alarm information in the charging and discharging process of the power battery, 1 ⁇ Z ⁇ 2;
  • the M is a difference degree between the historical charging and discharging data of the power battery and the preset charging and discharging data, 0 ⁇ M ⁇ 1.
  • the apparatus further includes a user rating setting unit; the user rating setting unit, configured to perform a method of a preset user ratings, user ratings of the method is a method battery consumption calculated in accordance with the level L u, specifically:
  • the W is a weight value corresponding to the battery alarm information and the battery damage information; and the L is a user level value determined according to the power consumption C of 100 kilometers, specifically:
  • C 0 is a preset power consumption reference value, Round up the symbol.
  • the device also includes a first charging policy setting module
  • the first charging policy setting module is configured to select a battery rating corresponding to the user rating according to the preset rating correspondence relationship, and replace the selected battery battery corresponding to the battery rating to the electric vehicle;
  • the user rating in the rating correspondence is positively related to the battery rating.
  • the device also includes a second charging policy setting module
  • the second charging policy setting module is configured to determine whether the trend of the user rating and the battery rating of the electric vehicle is a trend of deterioration during the preset time period, and if so, charging the power battery by using the AC slow charging mode.
  • the device also includes a third charging policy setting module
  • the third charging policy setting module is configured to determine whether the user rating and the battery rating of the electric vehicle are both greater than a first rating threshold: if yes, the electric vehicle is turned off to perform rapid charging.
  • the device further includes a fourth charging policy setting module
  • the fourth charging policy setting module is configured to determine whether the battery rating of the power battery is greater than a second rating threshold, and if so, to charge the power battery by using an AC slow charging mode.
  • the device further includes a first power conversion policy setting module
  • the first power-changing policy setting module is configured to determine whether a battery rating of the power battery is greater than a second rating threshold, and if so, replace the power battery with an electric vehicle whose user rating is less than a first rating threshold and is charged by a household charging post.
  • the device further includes a second power-changing policy setting module
  • the second power-changing policy setting module is configured to determine whether a high-risk driving condition is detected, and if yes, replace the power battery with a battery rating less than the first rating threshold on the electric vehicle;
  • the high-risk driving condition includes that the meteorological information corresponding to the expected travel time of the electric vehicle is worse weather, and/or the expected travel distance of the electric vehicle is greater than the distance threshold.
  • a technical solution of a mobile terminal in the present invention is:
  • the terminal device includes a power-on policy evaluation module and a power-on optimization device of the power battery according to the above technical solution;
  • the power-on optimization device is configured to determine a power-on optimization scheme of the electric vehicle
  • the power-on policy evaluation module is configured to set an evaluation level of the power-on policy according to a battery rating change state
  • the battery rating change state is a state in which the battery rating of the power battery in the electric vehicle changes after the electric vehicle is powered on according to the power-on optimization scheme.
  • the technical solution of a power-on facility in the present invention is:
  • the power-on facility includes the power-on optimization device of the power battery described in the above technical solution.
  • the power-on facility is a power station, or a charging station, or a mobile charging device.
  • a technical solution of a computer readable storage medium in the present invention is:
  • a computer program is stored in the computer readable storage medium, the program being adapted to be loaded by a processor and executed to implement the steps in the power-on optimization method of the power battery described in the above technical solution.
  • the technical solution of a computer device in the present invention is:
  • the computer device includes a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor executes the program to implement the power-on optimization method of the power battery according to the above technical solution. Each step.
  • the power-on optimization method for a power battery provided by the present invention can determine a reasonable power battery power-on scheme based on a preset power battery power-on optimization strategy according to a battery rating of a power battery and/or a user rating of an electric vehicle. It can also improve the service life of the power battery while meeting the needs of electric vehicle users.
  • the power-on optimization scheme generating module can determine the power battery based on the battery rating of the power battery and/or the electric vehicle user rating based on the preset power battery power-on optimization strategy.
  • a reasonable power battery power-up solution can also improve the service life of the power battery while meeting the needs of electric vehicle users.
  • a terminal device provided by the present invention comprising the power-on optimization device described in the above technical solution, which can determine a reasonable power battery power-on scheme, and can improve the power battery when the electric vehicle user needs to meet the driving demand. Service life.
  • the power-providing device provided by the present invention comprising the power-on optimization device described in the above technical solution, can determine a reasonable power battery power-on scheme, and can improve the power battery while meeting the driving demand of the electric vehicle user. The service life.
  • the computer readable storage medium provided by the present invention stores a computer program, and the program can be applied to each of the power-on optimization methods of the power battery loaded and executed by the processor to implement the above technical solution. step.
  • a computer device comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, and the program can be adapted to be loaded and executed by the processor to implement the above technical solution.
  • FIG. 1 is a flow chart showing an implementation of a power-on optimization method for a power battery according to an embodiment of the present invention
  • FIG. 2 is a schematic structural view of a power-on optimization device for a power battery according to an embodiment of the present invention
  • 11 information acquisition module
  • 12 power-on optimization scheme generation module.
  • the present invention provides a power-on optimization method, which can evaluate the driving state level of the electric vehicle user based on the driving data, and evaluate the health level of the power battery based on the battery charging and discharging data, and finally obtain the basis according to the obtained data.
  • User rating and battery rating choose the power-up strategy.
  • FIG. 1 exemplarily shows an implementation flow of a power-on optimization method for a power battery in an embodiment of the present invention.
  • the power-on optimization method of the power battery in the embodiment mainly includes the following steps, specifically:
  • Step S101 Acquire a battery rating of the power battery.
  • the battery rating in this embodiment refers to the power battery health status level determined according to the preset battery rating method according to the historical battery charge and discharge data.
  • the historical charge and discharge data of the power battery may include time change data of voltage during charging and discharging, and/or time change data of current, and/or time change data of battery temperature.
  • the power battery health status level K b can be calculated according to the following formula (1), specifically:
  • the preset charging and discharging data refers to the charging and discharging data of the battery under the preset charging and discharging conditions, and the preset charging and discharging condition may be an AC slow charging method for the battery under the set ambient temperature and humidity conditions. Charge it.
  • the weight value Z corresponding to the alarm information during charging and discharging of the power battery can be set to 1.2.
  • a discrete curve of the history and charge and discharge data of the power battery is obtained, and a discrete curve of the preset charge and discharge data is obtained and used as a standard curve.
  • the root mean square value of each discrete point in the discrete curve of the historical charge and discharge data and each discrete point in the standard curve is calculated, and the root mean square value is the degree of difference M.
  • Step S102 Generate a battery power-on optimization scheme based on the battery rating and based on the preset power battery power-on optimization strategy.
  • the battery power optimization scheme may include a power conversion optimization scheme, and/or a charging optimization scheme.
  • the step S101 can also obtain the user rating of the electric vehicle, and further generate the user rating of the electric vehicle and the battery rating of the power battery according to the preset power battery power-on optimization strategy according to the step S101.
  • Battery power optimization program the user rating of the electric vehicle refers to the battery loss level determined according to the preset user rating method according to the power battery state information of the preset category in the historical data of the electric vehicle.
  • the preset battery power state information in the electric vehicle historical data may include a power consumption of 100 kilometers of the power battery, and/or battery alarm information during driving, and/or battery damage information during driving.
  • Embodiment can follow the formula (3) calculates the battery consumption level L u the present embodiment, specifically:
  • W is the weight value corresponding to the battery alarm information and the battery damage information
  • L is the user level value determined according to the power consumption C of 100 kilometers.
  • the method for determining the user level value C is:
  • C 0 is the preset power consumption reference value. Round up the symbol.
  • the preset power consumption reference value refers to the power consumption of the electric vehicle under the preset driving condition according to good driving preference, and the preset driving condition may be in the set ambient temperature and humidity condition. Travel for 100 kilometers.
  • the driving preference in this embodiment refers to the driving habits obtained by the electric vehicle user according to the driving data of the electric vehicle user, and the driving habits of the user may include driving characteristics related to the driving risk, such as speeding and emergency stop. Wait. Accordingly, good driving preferences refer to less driving characteristics associated with driving risk included in the user's driving habits, or may result in a lower risk of driving. For example, driving characteristics in good driving preferences only include speeding, and the time for speeding is shorter.
  • the power-changing optimization scheme refers to the electric vehicle when the electric vehicle is changed based on the power battery power-on optimization strategy.
  • the charging optimization scheme refers to the charging scheme when the power battery is charged based on the power battery power optimization strategy.
  • the corresponding battery rating and/or charging scheme may be determined according to different power battery power-on optimization strategies, wherein the power battery power-on optimization strategy may be a charging strategy or a power-changing strategy.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • the battery rating corresponding to the user rating may be selected according to the preset rating correspondence, and the power battery corresponding to the selected battery rating is replaced with the electric vehicle.
  • the user rating in the rating correspondence is positively correlated with the battery rating.
  • positive correlation means that two variables change in the same direction. When one variable changes from large to small or from small to large, the other variable also changes from large to small or small to large, that is, its data. The tangent slope of the curve is always greater than zero. Accordingly, the positive correlation in this embodiment means that when the user is rated to a smaller level, the selected battery rating level is also a smaller level corresponding to the user rating.
  • the rating of the battery with a lower rating refers to a battery with better battery health
  • the rating of the user with a smaller rating refers to a smaller battery loss level, that is, the user can be judged to be a good user, and thus the battery is healthy.
  • a better battery can be replaced with a high-quality electric vehicle, which can improve the service life of the power battery while ensuring the best driving experience of the electric vehicle.
  • the user rating in the rating correspondence relationship may be set to be proportional to the battery rating. For example, when the user rating is equal to 5, the battery rating is also 5 for the power battery replacement of the user rating corresponding to the electric vehicle.
  • the first rating threshold can be set to a larger value in this embodiment.
  • the user rating and the battery rating are both greater than the first rating threshold, it indicates that the electric vehicle has a high risk of driving, so in this case, the electric vehicle needs to be turned off for quick charging, and after receiving the quick charging request sent by the electric vehicle, Do not charge it quickly.
  • the first rating threshold may be set to 10 in this embodiment.
  • the second rating threshold can be set to a smaller value, when the power is After the battery rating of the battery is less than the second rating threshold, the battery is charged by AC slow charging, which can prolong the service life of the power battery, thereby increasing the overall service life of a certain number of power batteries.
  • the second rating threshold can be set to 5 in this embodiment.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • the electric vehicle users of the pile charging are not only high-quality users, but also have lower requirements on the charging completion time of the power battery, and it can also indicate that the high-quality users have lower requirements for the single-travel mileage of the electric vehicle.
  • the power battery with the battery rating greater than the second rating threshold is replaced with the electric vehicle of the high-quality user, which can satisfy the driving demand of the high-quality user and extend the service life of the power battery.
  • the high-risk driving condition refers to a situation in which an electric vehicle is highly prone to a traffic accident during driving, and specifically, the high-risk driving condition in the embodiment may include meteorological information corresponding to an expected travel time of the electric vehicle as a poor weather, and/ Or the expected travel distance of the electric vehicle is greater than the distance threshold.
  • the electric vehicle consumes a large amount of power for the power battery in the meteorological environment, and the weather information can be judged to be a poor weather. It is necessary to replace the power battery with better battery health to the electric vehicle to ensure that it can travel safely.
  • the set distance threshold is 150 km and the expected travel distance of the electric vehicle is 200 km, it indicates that the battery consumed by the electric vehicle is also relatively large, so it is necessary to replace the battery with better battery health. On electric cars, it is guaranteed to travel safely.
  • the user rating of the electric vehicle and the battery rating of the power battery are determined, and then according to the user rating and/or the battery rating, and the pre- The power battery power-up optimization strategy is set to generate a battery power-on optimization scheme.
  • the power-on scheme of the power battery can be reasonably determined, which can meet the driving demand of the electric vehicle user and improve the service life of the power battery.
  • the insurance cost of the electric vehicle may also be set according to the user rating and the battery rating, for example, an electric vehicle user whose user rating and battery rating are both higher than a certain reference value, and a certain amount of insurance premium is increased.
  • the user rating and the battery rating for example, an electric vehicle user whose user rating and battery rating are both higher than a certain reference value, and a certain amount of insurance premium is increased.
  • the various component embodiments of the present invention may be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof.
  • a microprocessor or digital signal processor may be used in practice to implement some or all of the functionality of some or all of the servers, clients, in accordance with embodiments of the present invention.
  • the invention may also be implemented as a device or device program (e.g., a PC program and a PC program product) for performing some or all of the methods described herein.
  • a program implementing the present invention may be stored on a PC readable medium or may have the form of one or more signals. Such signals may be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.
  • the embodiment of the present invention further provides a power-on optimization device for a power battery based on the same technical concept as the method embodiment.
  • the power-on optimization device of the power battery will be specifically described below with reference to the accompanying drawings.
  • FIG. 2 exemplarily shows a power-on optimization device for a power battery in the embodiment.
  • the power-on optimization device in this embodiment may include an information acquisition module 11 and a power-on optimization scheme generation module 12.
  • the information acquisition module 11 can be configured to obtain a battery rating of the power battery.
  • the power-on optimization scheme generation module 12 can be configured to generate a battery power-on optimization scheme based on the battery rating and based on a preset power battery power-on optimization strategy.
  • the battery rating is a power battery health status level determined according to a preset battery rating method based on historical battery charge and discharge data.
  • the battery power optimization scheme includes a power conversion optimization scheme, and/or a charging optimization scheme.
  • the information acquiring module 11 in this embodiment may be further configured to acquire a user rating of the electric vehicle.
  • the power-on optimization solution generation module 12 can also be configured to generate a battery power-on optimization scheme based on the user rating and based on the preset power battery power-on optimization strategy.
  • the user rating is a battery loss level determined according to a preset user rating method according to the power battery state information of the preset category in the electric vehicle historical data.
  • the power-exchange optimization scheme is a battery rating of the power battery that is replaced when the electric vehicle is changed based on the power battery power-on optimization strategy.
  • the charging optimization scheme is a charging scheme when the power battery is charged based on the power battery power optimization strategy.
  • the power-on optimization device of the power battery in this embodiment may further include a battery rating setting unit, and the battery rating setting unit may be configured to execute a preset battery rating method.
  • the battery rating method is the same as the battery rating method described in the foregoing embodiment of the power-on optimization method of the power battery. For brevity of description, details are not described herein again.
  • the power-on optimization device of the power battery in this embodiment may further include a user rating setting unit, and the user rating setting unit may be configured to execute a preset user rating method.
  • the user rating method is the same as the user rating method described in the foregoing embodiment of the power-on optimization method of the power battery. For brevity of description, details are not described herein again.
  • the power-on optimization device of the power battery in this embodiment may further include a first charging policy setting module, where the first charging policy setting module may be configured to select a battery rating corresponding to the user rating according to the preset rating correspondence relationship. And replace the power battery corresponding to the selected battery rating to the electric vehicle. Among them, the user rating in the rating correspondence is positively correlated with the battery rating.
  • the power-on optimization device of the power battery in this embodiment may further include a second charging policy setting module, where the second charging policy setting module may be configured to determine a user rating and a battery rating of the electric vehicle within a preset time period. Whether the trend of change is a trend of deterioration, and if so, the power battery is charged by the AC slow charging method.
  • the power-on optimization device of the power battery in this embodiment may further include a third charging policy setting module, where the third charging policy setting module may be configured to determine whether the user rating and the battery rating of the electric vehicle are both greater than the first rating threshold. : If yes, turn off the electric car for quick charging.
  • the power-on optimization device of the power battery in this embodiment may further include a fourth charging policy setting module, where the fourth charging policy setting module may be configured to determine whether the battery rating of the power battery is greater than a second rating threshold, and if so, adopt The AC slow charging method charges the power battery.
  • the power-on optimization device of the power battery in this embodiment may further include a first power-changing policy setting module, where the first power-changing policy setting module may be configured to determine whether the battery rating of the power battery is greater than a second rating threshold, if The power battery is then replaced with an electric vehicle whose user rating is less than the first rating threshold and charged by the household charging post.
  • the power-on optimization device of the power battery in this embodiment may further include a second power-changing policy setting module, where the second power-changing policy setting module may be configured to determine whether a high-risk driving condition is detected, and if so, the battery is rated A power battery that is less than the first rating threshold is replaced with an electric vehicle.
  • the high-risk driving conditions include that the meteorological information corresponding to the expected travel time of the electric vehicle is poor weather, and/or the expected travel distance of the electric vehicle is greater than the distance threshold.
  • the embodiment of the power-on optimization device of the above-mentioned power battery can be used to perform the power-on optimization method embodiment of the above-mentioned power battery, and the technical principle, the solved technical problem and the generated technical effect are similar, and those skilled in the art can clearly
  • the specific working process and related description of the power-on optimization of the power battery described above may be referred to the corresponding process in the power-on optimization method embodiment of the foregoing power battery, and details are not described herein again.
  • the power-on optimization device of the above power battery further includes some other well-known structures, such as a processor, a controller, a memory, etc., wherein the memory includes but is not limited to random access memory, flash memory, read only memory, and programmable. Read only memory, volatile memory, nonvolatile memory, serial memory, parallel memory or registers, etc., including but not limited to CPLD/FPGA, DSP, ARM processor, MIPS processor, etc., in order to unnecessarily Embodiments of the present disclosure are blurred, and these well-known structures are not shown in FIG. 2.
  • modules in the apparatus of the embodiments can be adaptively changed and placed in one or more devices different from the embodiment.
  • the modules or units or components of the embodiments may be combined into one module or unit or component, and further they may be divided into a plurality of sub-modules or sub-units or sub-components.
  • any combination of the features disclosed in the specification, including the accompanying claims, the abstract and the drawings, and any methods so disclosed, or All processes or units of the device are combined.
  • Each feature disclosed in this specification (including the accompanying claims, the abstract and the drawings) may be replaced by alternative features that provide the same, equivalent or similar purpose.
  • the embodiment of the present invention further provides a terminal device, which may include a power-on strategy evaluation module and a power battery according to the embodiment of the power-on optimization device of the power battery. Power-up optimization device.
  • the power up optimization device can be configured to determine a power up optimization scheme for the electric vehicle.
  • the power-on strategy evaluation module can be configured to set the evaluation level of the power-on strategy according to the battery rating change status.
  • the battery rating change state is a state in which the battery rating of the power battery in the electric vehicle changes after the electric vehicle is powered on according to the power-on optimization scheme. For example, when the battery rating change state is small, that is, the battery rating level change amount is small, the power-on strategy evaluation module can set a higher rating level.
  • the terminal device provided in this embodiment can be applied to the technical field of power battery distribution, and the dispatcher can power on the power battery according to the power-on optimization scheme determined by the terminal device, and obtain a corresponding rating level after completing the power-on.
  • the embodiment of the present invention further provides a power-on facility, which may include the power-on optimization of the power battery according to the embodiment of the power-on optimization device of the power battery, based on the power-optimization device embodiment of the power battery. Device.
  • the power-on facility in this embodiment may be a power station, a charging station, or a mobile charging device.
  • the power station, the charging station and the mobile charging device can not only determine a reasonable power battery powering scheme but also optimize the overall life of the power battery included by the powering optimization device.
  • the embodiment of the present invention further provides a computer readable storage medium, where the computer readable storage medium can be stored with a computer program, and the program can be adapted to be loaded by a processor and based on the power-optimization method embodiment of the power battery.
  • the computer readable storage medium can be stored with a computer program, and the program can be adapted to be loaded by a processor and based on the power-optimization method embodiment of the power battery.
  • the implementation of the power-on optimization method of the power battery is facilitated in the present embodiment by storing a program in the computer readable storage medium that can be used to execute and implement the steps in the power-on optimization method of the power battery.
  • the embodiment of the present invention further provides a computer device, which may include a memory, a processor, and a computer program stored on the memory and executable on the processor, and simultaneously based on the power-on optimization method embodiment of the power battery.
  • the processor can execute the steps in the power-on optimization method of the power battery according to the embodiment of the power-on optimization method of the power battery described above when the program is executed.
  • the implementation of each step in the power-on optimization method of the power battery when the program can be executed is stored in the processor, which is advantageous for the implementation of the power-on optimization method of the power battery.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

La présente invention concerne un procédé d'optimisation de mise sous tension pour une batterie d'alimentation, le procédé comprenant les étapes consistant à : acquérir un classement de batterie et/ou un classement d'utilisateur d'une batterie d'alimentation (s101) ; et selon le classement de batterie et/ou le classement d'utilisateur et sur la base d'une stratégie d'optimisation de mise sous tension de batterie d'alimentation prédéfinie, générer un schéma d'optimisation de mise sous tension de batterie (s102). Le procédé peut prolonger la durée de vie d'une batterie d'alimentation. La présente invention concerne un appareil pour exécuter une telle optimisation de mise sous tension, un terminal mobile, une installation de mise sous tension, un dispositif informatique et un support de stockage lisible par ordinateur.
PCT/CN2018/075680 2017-06-14 2018-02-07 Procédé et appareil d'optimisation de mise sous tension, terminal, installation, dispositif et support de stockage WO2018227986A1 (fr)

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