WO2018227986A1 - Power-up optimization method and apparatus, terminal, facility, device, and storage medium - Google Patents

Power-up optimization method and apparatus, terminal, facility, device, and storage medium 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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French (fr)
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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Publication of WO2018227986A1 publication Critical patent/WO2018227986A1/en

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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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Abstract

Disclosed is a power-up optimization method for a power battery, the method comprising: acquiring a battery rating and/or a user rating of a power battery (s101); and according to the battery rating and/or the user rating and based on a pre-set power battery power-up optimization strategy, generating a battery power-up optimization scheme (s102). The method can prolong the service life of a power battery. An apparatus for executing such power-up optimization, a mobile terminal, a power-up facility, a computer device and a computer-readable storage medium are also disclosed.

Description

加电优化方法及装置、终端、设施、设备、存储介质Power-on optimization method and device, terminal, facility, device, storage medium 技术领域Technical field
本发明涉及动力电池充/换电技术领域，具体涉及一种动力电池的加电优化方法及装置、移动终端、加电设施、计算机设备、计算机可读存储介质。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.
背景技术Background technique
动力电池的加电方法主要包括充电和更换电池两种加电方法。其中，充电指的是对电动汽车的车载动力电池充电，更换电池指的是将存储一定电量的载能电池更换到电动汽车上。The power-on method of the power battery mainly includes two power-on methods of charging and replacing the battery. Among them, charging refers to charging the vehicle's power battery of the electric vehicle, and replacing the battery means replacing the energy-carrying battery that stores a certain amount of electricity into the electric vehicle.
依据电动汽车用户所需求的动力电池加电完成时间，可以择优选择充电和更换电池中任一种加电方法。但是在电动汽车用户所需求的动力电池加电完成时间较短时，通常选择对动力电池进行快速充电的方式加电，这种快速充电方式往往会造成动力电池不可恢复的损伤，甚至会引发电池安全事故，对电动汽车用户的人身及财产造成巨大的损失。According to 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. However, when the power battery is required to be powered by the electric vehicle, 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.
发明内容Summary of the invention
为了解决现有技术中的上述问题，即为了解决如何在电动汽车用户所需求的动力电池加电完成时间较短时，降低或避免加电过程对动力电池造成损害的技术问题，本发明提供了一种动力电池的加电优化方法及装置、移动终端、加电设施、计算机设备、计算机可读存储介质。In order to solve the above-mentioned problems in the prior art, in order to solve the technical problem of how to reduce or avoid damage to the power battery during the power-on process when the power battery power-on time required by the electric vehicle user is short, 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.
第一方面，本发明中一种动力电池的加电优化方法的技术方案是：In a first aspect, a technical solution for a power-on optimization method for a power battery according to the present invention is:
所述方法包括：The method includes:
获取动力电池的电池评级；Obtain a battery rating of the power battery;
依据所述电池评级，基于预设的动力电池加电优化策略，生成电池加电优化方案；According to the battery rating, a battery power optimization scheme is generated based on a preset power battery power optimization strategy;
其中：among them:
所述电池评级为：依据所述动力电池的历史充放电数据，按照预设的电池评级方法确定的动力电池健康状态等级；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;
所述电池加电优化方案包括换电优化方案、和/或充电优化方案。The battery power optimization scheme includes a power conversion optimization scheme, and/or a charging optimization scheme.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所获取的信息还包括电动汽车的用户评级；The information obtained also includes the user rating of the electric vehicle;
生成所述电池加电优化方案所依据的信息还包括所述用户评级；The information upon which the battery power optimization scheme is generated further includes the user rating;
其中：among them:
所述用户评级为：依据电动汽车历史数据中预设类别的动力电池状态信息，按照预设的用户评级方法确定的电池损耗等级；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;
所述换电优化方案为：基于所述动力电池加电优化策略确定的所述电动汽车换电时所更换动力电池的电池评级；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;
所述充电优化方案为：基于所述动力电池加电优化策略确定的所述动力电池充电时的充电方案。The charging optimization scheme is: a charging scheme when the power battery is charged based on the power battery power optimization strategy.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述动力电池的历史充放电数据，包括充放电过程中电压的时间变化数据、和/或电流的时间变化数据、和/或电池温度的时间变化数据；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;
所述电动汽车历史数据中预设类别的动力电池状态信息，包括动力电池的百公里耗电量、和/或行车过程中的电池告警信息、和/或行车过程中的电池损伤信息。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.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述电池评级方法为按照下式计算动力电池健康状态等级K b的方法，具体为： 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 K b = M × Z × 100
其中，所述Z为动力电池充放电过程中告警信息对应的权重值，1<Z<2；所述M为动力电池的历史充放电数据与预设的充放电数据的差异程度，0≤M<1。进一步地，本发明提供的一个优选技术方案为：Wherein, 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. Further, a preferred technical solution provided by the present invention is:
所述用户评级方法为按照下式计算电池损耗等级L u的方法，具体为： The method according to method User rating calculated battery consumption level L u, specifically:
L u＝WL L u = WL
其中，所述W为电池告警信息和电池损伤信息所对应的权重值；所述L为依据百公里耗电量C，所确定的用户等级值，具体为：Wherein, 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:
若C<C 0，则L＝0，否则
Figure PCTCN2018075680-appb-000001
If C<C 0 , then L=0, otherwise
Figure PCTCN2018075680-appb-000001
其中，所述C 0为预设的耗电量基准值；所述
Figure PCTCN2018075680-appb-000002
为向上取整符号。 Wherein, the C 0 is a preset power consumption reference value;
Figure PCTCN2018075680-appb-000002
Round up the symbol.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述动力电池加电优化策略为动力电池的充电策略，该策略包括：The power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
依据预设的评级对应关系，选取与用户评级对应的电池评级，并将所选取的电池评级对应的动力电池更换到电动汽车上；According to 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;
所述评级对应关系中用户评级与电池评级正相关。The user rating in the rating correspondence is positively related to the battery rating.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述动力电池加电优化策略为动力电池的充电策略，该策略包括：The power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
判断在预设时间段内电动汽车的用户评级和电池评级的变化趋势是否为变差趋势，若是则采用交流慢充方式对该动力电池进行充电。It is determined 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, the power battery is charged by the AC slow charging method.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述动力电池加电优化策略为动力电池的充电策略，该策略包括：The power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
判断电动汽车的用户评级和电池评级是否均大于第一评级阈值：若是则关闭该电动汽车进行快速充电的权限。Determine whether the user rating and battery rating of the electric vehicle are greater than the first rating threshold: if yes, turn off the electric vehicle for quick charging.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述动力电池加电优化策略为动力电池的充电策略，该策略包括：The power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
判断动力电池的电池评级是否大于第二评级阈值，若是则采用交流慢充方式对该动力电池进行充电。It is determined whether the battery rating of the power battery is greater than a second rating threshold, and if so, the power battery is charged by an AC slow charging method.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述动力电池加电优化策略为动力电池的换电策略，该策略包括：The power battery power optimization strategy is a power battery power exchange strategy, and the strategy includes:
判断动力电池的电池评级是否大于第二评级阈值，若是则将该动力电池置换到用户评级小于第一评级阈值且采用家用充电桩充电的电动汽车。Determining whether the battery rating of the power battery is greater than a second rating threshold, and if so, replacing the power battery with an electric vehicle having a user rating less than a first rating threshold and charging with a household charging post.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述动力电池加电优化策略为动力电池的换电策略，该策略包括：判断是否检测到高风险行车条件，若是则将电池评级小于第一评级阈值的动力电池更换到电动汽车上；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;
所述高风险行车条件包括电动汽车期望出行时间对应的气象信息为较差气象、和/或电动汽车的期望出行距离大于距离阈值。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.
第二方面，本发明中一种动力电池的加电优化装置的技术方案是：In a second aspect, a technical solution for a power-on optimization device for a power battery according to the present invention is:
所述装置包括：The device includes:
信息获取模块，配置为获取动力电池的电池评级；An information acquisition module configured to obtain a battery rating of the power battery;
加电优化方案生成模块，配置为依据所述电池评级，基于预设的动力电池加电优化策略，生成电池加电优化方案；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;
其中：among them:
所述电池评级为：依据所述动力电池的历史充放电数据，按照预设的电池评级方法确定的动力电池健康状态等级；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;
所述电池加电优化方案包括换电优化方案、和/或充电优化方案。The battery power optimization scheme includes a power conversion optimization scheme, and/or a charging optimization scheme.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述信息获取模块，还配置为获取电动汽车的用户评级；The information acquisition module is further configured to obtain a user rating of the electric vehicle;
所述加电优化方案生成模块，还配置为依据所述用户评级，基于预设的动力电池加电优化策略，生成电池加电优化方案；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;
其中：among them:
所述用户评级为：依据电动汽车历史数据中预设类别的动力电池状态信息，按照预设的用户评级方法确定的电池损耗等级；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;
所述换电优化方案为：基于所述动力电池加电优化策略确定的所述电动汽车换电时所更换动力电池的电池评级；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;
所述充电优化方案为：基于所述动力电池加电优化策略确定的所述动力电池充电时的充电方案。The charging optimization scheme is: a charging scheme when the power battery is charged based on the power battery power optimization strategy.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述装置还包括电池评级设置单元；所述电池评级设置单元，配置为执行预设的电池评级方法，所述电池评级方法为按照下式计算动力电池健康状态等级K b的方法，具体为： 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 K b = M × Z × 100
其中，所述Z为动力电池充放电过程中告警信息对应的权重值，1<Z<2；所述M为动力电池的历史充放电数据与预设的充放电数据的差异程度，0≤M<1。Wherein, 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.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述装置还包括用户评级设置单元；所述用户评级设置单元，配置为执行预设的用户评级方法，所述用户评级方法为按照下式计算电池损耗等级L u的方法，具体为： 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:
L u＝WL L u = WL
其中，所述W为电池告警信息和电池损伤信息所对应的权重值；所述L为依据百公里耗电量C，所确定的用户等级值，具体为：Wherein, 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:
若C<C 0，则L＝0，否则
Figure PCTCN2018075680-appb-000003
If C<C 0 , then L=0, otherwise
Figure PCTCN2018075680-appb-000003
其中，所述C 0为预设的耗电量基准值，所述
Figure PCTCN2018075680-appb-000004
为向上取整符号。 Wherein C 0 is a preset power consumption reference value,
Figure PCTCN2018075680-appb-000004
Round up the symbol.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述装置还包括第一充电策略设置模块；The device also includes a first charging policy setting module;
所述第一充电策略设置模块，配置为依据预设的评级对应关系，选取与用户评级对应的电池评级，并将所选取的电池评级对应的动力电池更换到电动汽车上；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;
所述评级对应关系中用户评级与电池评级正相关。The user rating in the rating correspondence is positively related to the battery rating.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述装置还包括第二充电策略设置模块；The device also includes a second charging policy setting module;
所述第二充电策略设置模块，配置为判断在预设时间段内电动汽车的用户评级和电池评级的变化趋势是否为变差趋势，若是则采用交流慢充方式对该动力电池进行充电。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.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述装置还包括第三充电策略设置模块；The device also includes a third charging policy setting module;
所述第三充电策略设置模块，配置为判断电动汽车的用户评级和电池评级是否均大于第一评级阈值：若是则关闭该电动汽车进行快速充电的权限。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.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述装置还包括第四充电策略设置模块；The device further includes a fourth charging policy setting module;
所述第四充电策略设置模块，配置为判断动力电池的电池评级是否大于第二评级阈值，若是则采用交流慢充方式对该动力电池进行充电。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.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述装置还包括第一换电策略设置模块；The device further includes a first power conversion policy setting module;
所述第一换电策略设置模块，配置为判断动力电池的电池评级是否大于第二评级阈值，若是则将该动力电池置换到用户评级小于第一评级阈值且采用家用充电桩充电的电动汽车。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.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述装置还包括第二换电策略设置模块；The device further includes a second power-changing policy setting module;
所述第二换电策略设置模块，配置为判断是否检测到高风险行车条件，若是则将电池评级小于第一评级阈值的动力电池更换到电动汽车上；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;
所述高风险行车条件包括电动汽车期望出行时间对应的气象信息为较差气象、和/或电动汽车的期望出行距离大于距离阈值。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.
第三方面，本发明中一种移动终端的技术方案是：In a third aspect, a technical solution of a mobile terminal in the present invention is:
所述终端设备包括加电策略评价模块和上述技术方案所述的动力电池的加电优化装置；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;
所述加电优化装置，配置为确定电动汽车的加电优化方案；The power-on optimization device is configured to determine a power-on optimization scheme of the electric vehicle;
所述加电策略评价模块，配置为依据电池评级变化状态设定加电策略的评价等级；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;
其中，所述电池评级变化状态为控制电动汽车按照所述加电优化方案完成加电后，该电动汽车中动力电池的电池评级变化状态。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.
第四方面，本发明中一种加电设施的技术方案是：In a fourth aspect, the technical solution of a power-on facility in the present invention is:
所述加电设施包括上述技术方案所述的动力电池的加电优化装置。The power-on facility includes the power-on optimization device of the power battery described in the above technical solution.
进一步地，本发明提供的一个优选技术方案为：Further, a preferred technical solution provided by the present invention is:
所述加电设施为换电站、或充电站、或移动充电设备。The power-on facility is a power station, or a charging station, or a mobile charging device.
第五方面，本发明中一种计算机可读存储介质的技术方案是：In a fifth aspect, a technical solution of a computer readable storage medium in the present invention is:
所述计算机可读存储介质中存储有计算机程序，所述程序适用于由处理器加载并执行以实现上述技术方案所述的动力电池的加电优化方法中的各步骤。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.
第六方面，本发明中一种计算机设备的技术方案是：In a sixth aspect, the technical solution of a computer device in the present invention is:
所述计算机设备包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现上述技术方案所述的动力电池的加电优化方法中的各步骤。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.
与现有技术相比，上述技术方案至少具有以下效果：Compared with the prior art, the above technical solution has at least the following effects:
1、本发明提供的一种动力电池的加电优化方法，可以依据动力电池的电池评级和/电动汽车的用户评级，基于预设的动力电池加电优化策略，确定合理的动力电池加电方案，在满足电动汽车用户行车需求的情况下还可以提高动力电池的使用寿命。1. 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.
2、本发明提供的一种动力电池的加电优化装置，其加电优化方案生成模块可以依据动力电池的电池评级和/电动汽车的用户评级，基于预设的动力电池加电优化策略，确定合理的动力电池加电方案，在满足电动汽车用户行车需求的情况下还可以提高动力电池的使用寿命。2. The power-optimizing device for a power battery provided by the present invention, 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.
3、本发明提供的一种终端设备，其包括上述技术方案所述的加电优化装置，可以确定合理的动力电池加电方案，在满足电动汽车用户行车需求的情况下还可以提高动力电池的使用寿命。3. 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.
4、本发明提供的一种加电设施，其包括上述技术方案所述的加电优化装置，可以确定合理的动力电池加电方案，在满足电动汽车用户行车需求的情况下还可以提高动力电池的使用寿命。4. 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.
5、本发明提供的一种计算机可读存储介质，其存储有计算机程序，且该程序可以适用于由处理器加载并执行以实现上述技术方案所述的动力电池的加电优化方法中的各步骤。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.
6、本发明提供的一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，且该程序可以适用于由处理器加载并执行以实现上述技术方案所述的动力电池的加电优化方法中的各步骤。6. A computer device provided by the present invention, 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. Each step in the power-on optimization method of the power battery.
附图说明DRAWINGS
图1是本发明实施例中一种动力电池的加电优化方法的实施流程图；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;
图2是本发明实施例中一种动力电池的加电优化装置的结构示意图；2 is a schematic structural view of a power-on optimization device for a power battery according to an embodiment of the present invention;
其中，11：信息获取模块；12：加电优化方案生成模块。Among them, 11: information acquisition module; 12: power-on optimization scheme generation module.
具体实施方式detailed description
下面参照附图来描述本发明的优选实施方式。本领域技术人员应当理解的是，这些实施方式仅仅用于解释本发明的技术原理，并非旨在限制本发明的保护范围。Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the scope of the present invention.
电动汽车用户向充/换电站等加电资源请求加电时，通常都会限定加电的最长加电时间，当该最长加电时间较短时，加电资源往往会选择快速充电的方式对电动汽车加电，然而对电动汽车连续采用快速充电后，会加速动力电池的老化，甚至会引起电池安全事故。基于此，本发明提供了一种加电优化方法，该方法可以基于行车数据对电动汽车用户进行驾驶状态等级的评定，基于电池充放电数据对动力电池进行健康度等级的评定，最后依据得到的用户评级和电池评级，择优选择加电策略。When an electric vehicle user requests power-on from a charging/replacement power station, it usually limits the maximum power-on time for power-on. When the long-term power-on time is short, the power-on resource often chooses the method of fast charging. Powering on electric vehicles, however, after continuous charging of electric vehicles, it will accelerate the aging of the power battery and even cause battery safety accidents. Based on this, 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.
下面结合附图，对本发明实施例中一种动力电池的加电优化方法进行说明。A power-on optimization method for a power battery according to an embodiment of the present invention will be described below with reference to the accompanying drawings.
图1示例性示出了本发明实施例中动力电池的加电优化方法的实施流程，如图所示，本实施例中动力电池的加电优化方法主要包括下述步骤，具体为：FIG. 1 exemplarily shows an implementation flow of a power-on optimization method for a power battery in an embodiment of the present invention. As shown in the figure, the power-on optimization method of the power battery in the embodiment mainly includes the following steps, specifically:
步骤S101：获取动力电池的电池评级。Step S101: Acquire a battery rating of the power battery.
本实施例中电池评级指的是依据动力电池的历史充放电数据，按照预设的电池评级方法确定的动力电池健康状态等级。其中，动力电池的历史充放电数据可以包括充放电过程中电压的时间变化数据、和/或电流的时间变化数据、和/或电池温度的时间变化数据。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.
本实施例中可以按照下式(1)计算动力电池健康度状态等级K b，具体为： In this embodiment, the power battery health status level K b can be calculated according to the following formula (1), specifically:
K b＝M×Z×100               (1) K b = M × Z × 100 (1)
公式(1)中各参数含义为：The meaning of each parameter in formula (1) is:
Z为动力电池充放电过程中告警信息对应的权重值，1<Z<2；M为动力电池历史充放电数据与预设的充放电数据的差异程度，0≤M<1。预设的充放电数据指的是在预设的充放电条件下，电池的充放电数据，该预设的充放电条件可以是在设定的环境温度、湿度情况下采用交流慢充方式对电池进行充电。Z is the weight value corresponding to the alarm information during charging and discharging of the power battery, 1<Z<2; M is the degree of difference between the historical battery charge and discharge data and the preset charge and discharge data, 0≤M<1. 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.
本实施例提供的一个优选实施方案中可以将动力电池充放电过程中告警信息对应的权重值Z设置为1.2。In a preferred embodiment provided by this embodiment, the weight value Z corresponding to the alarm information during charging and discharging of the power battery can be set to 1.2.
本实施例中差异程度M的确定方法为：The method for determining the degree of difference M in this embodiment is:
首先，获取动力电池历史充放电数据的离散曲线，以及获取预设的充放电数据的离散曲线并将其作为标准曲线。然后，计算历史充放电数据的离散曲线中的各离散点与标准曲线中各离散点的均方根值，该均方根值即为差异程度M。历史充放电数据的离散曲线与标准曲线的匹配程度为100％时差异程度M＝0，表明动力电池的健康状态为最优。历史充放电数据的离散曲线与标准曲线的匹配程度越低则差异程度M越趋近于1，表明动力电池的健康状态越差。其中，差异程度M的计算公式如下式(2)所示：First, 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. Then, 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. When the matching degree between the discrete curve of the historical charge and discharge data and the standard curve is 100%, the degree of difference M=0, indicating that the health status of the power battery is optimal. The lower the degree of matching between the discrete curve of the historical charge and discharge data and the standard curve, the closer the degree of difference M is to 1, indicating that the health state of the power battery is worse. Among them, the formula for calculating the degree of difference M is as shown in the following formula (2):
Figure PCTCN2018075680-appb-000005
Figure PCTCN2018075680-appb-000005
公式(2)中各参数含义为：The meaning of each parameter in formula (2) is:
y i为历史充放电数据的离散曲线中的第i个离散点，i＝1,2,...,n，n为离散点的总数；y 0为标准曲线的离散点。 y i is the i-th discrete point in the discrete curve of historical charge and discharge data, i=1, 2, ..., n, n is the total number of discrete points; y 0 is the discrete point of the standard curve.
假设：本实施例中动力电池充放电过程中告警信息对应的权重值Z＝1.2，标准曲线为K 0。若动力电池的历史充放电数据的离散曲线与标准曲线K 0的匹配度为100％，则动力电池健康度状态等级K b＝0×1.2×100＝0；若动力电池的历史充放电数据的离散曲线与标准曲线K 0的匹配度为99％，则动力电池健康度状态等级K b＝0.01×1.2×100＝1.2；若动力电池的历史充放电数据的离散曲线与标准曲线K 0的匹配度为98％，则动力电池健康度状态等级K b＝0.02×1.2×100＝2.4。 It is assumed that the weight value corresponding to the alarm information in the charging and discharging process of the power battery in this embodiment is Z=1.2, and the standard curve is K 0 . If the degree of matching between the discrete curve of the historical charge and discharge data of the power battery and the standard curve K 0 is 100%, the power battery health state level K b = 0 × 1.2 × 100 = 0; if the historical battery charge and discharge data The matching degree between the discrete curve and the standard curve K 0 is 99%, then the power battery health state level K b = 0.01 × 1.2 × 100 = 1.2; if the discrete curve of the historical battery charge and discharge data matches the standard curve K 0 The degree is 98%, and the power battery health status level K b = 0.02 × 1.2 × 100 = 2.4.
步骤S102：依据电池评级，基于预设的动力电池加电优化策略，生成电池加电优化方案。其中，电池加电优化方案可以包括换电优化方案、和/或充电优化方案。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.
进一步地，步骤S101还可以获取电动汽车的用户评级，进而本实施例中还可以依据步骤S101获取的电动汽车的用户评级、动力电池的电池评级，基于预设的动力电池加电优化策略，生成电池加电优化方案。其中，电动汽车的用户评级指的是依据电动汽车历史数据中预设类别的动力电池状态信息，按照预设的用户评级方法确定的电池损耗等级。电动汽车历史数据中预设类别的动力电池状态信息可以包括动力电池的百公里耗电量、和/或行车过程中的电池告警信息、和/或行车过程中的电池损伤信息。Further, 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. Wherein, 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.
本实施例中可以按照下式(3)计算电池损耗等级L u，具体为： Embodiment can follow the formula (3) calculates the battery consumption level L u the present embodiment, specifically:
L u＝WL               (3) L u = WL (3)
公式(3)中各参数的含义为：The meaning of each parameter in formula (3) is:
W为电池告警信息和电池损伤信息所对应的权重值；L为依据百公里耗电量C，所确定的用户等级值。其中，用户等级值C的确定方法为：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. Wherein, the method for determining the user level value C is:
若C<C 0，则L＝0，否则
Figure PCTCN2018075680-appb-000006
C 0为预设的耗电量基准值，
Figure PCTCN2018075680-appb-000007
为向上取整符号。其中，预设的耗电量基准值指的是按照良好的驾驶偏好在预设的行车条件下电动汽车的耗电量，该预设的行车条件可以为在设定的环境温度、湿度情况下行驶百公里。 If C<C 0 , then L=0, otherwise
Figure PCTCN2018075680-appb-000006
C 0 is the preset power consumption reference value.
Figure PCTCN2018075680-appb-000007
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.
本实施例中驾驶偏好指的是依据电动汽车用户的行车数据，对电动汽车用户进行画像所得到的用户驾驶习惯，该用户驾驶习惯可以包含与行车风险相关的行车特征，如超速行驶、急停等。相应地，良好的驾驶偏好指的是用户驾驶习惯所包含的与行车风险相关的行车特征较少、或可能导致的行车风险程度较低。例如，良好的驾驶偏好中行车特征仅包含超速行驶，且超速行驶的时间较短。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.
假设：本实施例中电动汽车用户在预设的行车条件下驾驶电动汽车所消耗的电量C小于耗电量基准值C 0，则用户等级值L＝0；电动汽车用户在预设的行车条件下驾驶电动汽车所消耗的电量C超过耗电量基准值C 0的电量值，与耗电量基准值C 0的占比小于1％，则用户等级值L＝1；电动汽车用户在预设的行车条件下驾驶电动汽车所消耗的电量C超过耗电量基准值C 0的电量值，与耗电量基准值C 0的占比小于2％，则用户等级值L＝2。 It is assumed that: in this embodiment, the electric vehicle user consumes less than the power consumption reference value C 0 under the preset driving condition, and the user level value L=0; the electric vehicle user is in the preset driving condition. the driving power consumed by the electric vehicle C exceeds the reference value C power consumption value of 0, and the power consumption of the reference value C 0 is accounted for less than 1%, then the user level value L = 1; electric vehicle user presets driving the electric vehicle under driving conditions consumed power consumption exceeds the reference value C capacity value C 0, the reference value C and the power consumption is less than 2% proportion of 0, the user level value L = 2.
进一步地，本实施例中依据电动汽车的用户评级、和/或电池评级生成的电池加电优化方案中，换电优化方案指的是基于动力电池加电优化策略确定的电动汽车换电时所更换动力电池的电池评级，充电优化方案指的是基于动力电池加电优化策略确定的动力电池充电时的充电方案。本实施例中可以依据不同的动力电池加电优化策略，确定相应的电池评级和/或充电方案，其中，动力电池加电优化策略可以为充电策略也可以为换电策略。Further, in the battery power-on optimization scheme generated according to the user rating of the electric vehicle and/or the battery rating in the embodiment, 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. Replacing the battery rating of the power battery, the charging optimization scheme refers to the charging scheme when the power battery is charged based on the power battery power optimization strategy. In this embodiment, 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.
下面分别对本实施例提供的多个优选的充电策略实施方案进行说明，具体为：The following describes a plurality of preferred charging policy implementations provided in this embodiment, specifically:
实施方案一：Embodiment 1:
本实施例中可以依据预设的评级对应关系，选取与用户评级对应的电池评级，并将所选取的电池评级对应的动力电池更换到电动汽 车上。同时，评级对应关系中用户评级与电池评级正相关。其中，正相关(Positive correlation)，是指两个变量变动方向相同，一个变量由大到小或由小到大变化时，另一个变量亦由大到小或由小到大变化，即其数据曲线的切线斜率始终大于零。相应地，本实施例中正相关指的是当用户评级为较小等级时，所选取的电池评级的等级也是与用户评级对应的较小等级。同时，由前述可知等级较小的电池评级指的是电池健康度较好的电池，等级较小的用户评级指的是电池损耗等级较小，即可以判断该用户为优质用户，因而将电池健康度较好的电池更换到优质用户的电动汽车上，可以在保证电动汽车行车体验最佳的前提下提高动力电池的使用寿命。In this embodiment, 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. At the same time, the user rating in the rating correspondence is positively correlated with the battery rating. Among them, 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. At the same time, it can be known from the foregoing that the rating of the battery with a lower rating refers to a battery with better battery health, and 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.
进一步地，本实施例提供的一个优选的评级对应关系设定方案中，可以设定评级对应关系中用户评级与电池评级呈正比例关系。例如，用户评级等于5时，将电池评级也为5的动力电池更换的该用户评级对应的电动汽车上。Further, in a preferred rating correspondence setting scheme provided by the embodiment, 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.
实施方案二：Implementation 2:
本实施例中可以判断在预设时间段内电动汽车的用户评级和电池评级的变化趋势是否为变差趋势，若是则采用交流慢充方式对该动力电池进行充电。In this embodiment, it can be determined whether the trend of the user rating and the battery rating of the electric vehicle is a variation trend within a preset time period, and if so, the power battery is charged by the AC slow charging method.
本实施例中用户评级和电池评级的变化趋势为变差趋势时，表明动力电池损耗较高且健康度较差，因此采用交流慢充方式对该动力电池充电，可以延缓动力电池的老化速度，延长动力电池的寿命。In this embodiment, when the trend of user rating and battery rating is a trend of deterioration, it indicates that the power battery loss is high and the health is poor. Therefore, charging the power battery by using the AC slow charging method can delay the aging speed of the power battery. Extend the life of the power battery.
实施方案三：Implementation III:
本实施例中可以判断电动汽车的用户评级和电池评级是否均大于第一评级阈值：若是则关闭该电动汽车进行快速充电的权限。In this embodiment, it can be determined whether the user rating and the battery rating of the electric vehicle are both greater than the first rating threshold: if yes, the electric vehicle is turned off for quick charging.
由前述可知，用户评级的等级越高则表明电池损耗越高、电池评级的等级越高则表明电池健康度越差，因此本实施例中可以将第一评级阈值设置为一个较大值，当用户评级和电池评级均大于第一评级阈值时表明电动汽车的行车风险较大，因此在这种情况下需要关闭该电动汽车进行快速充电的权限，当接收到该电动汽车发送的快速充电请求后禁止对其进行快速充电。优选地，本实施例中可以将第一评级阈值设定为10。It can be seen from the foregoing that the higher the rating of the user rating indicates that the battery loss is higher, and the higher the rating of the battery indicates that the battery health is worse, so the first rating threshold can be set to a larger value in this embodiment. When 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. Preferably, the first rating threshold may be set to 10 in this embodiment.
实施方案四：Implementation 4:
本实施例中可以判断动力电池的电池评级是否大于第二评级阈值，若是则采用交流慢充方式对该动力电池进行充电。In this embodiment, it can be determined whether the battery rating of the power battery is greater than a second rating threshold, and if so, the power battery is charged by an AC slow charging method.
由前述可知，电池评级的等级越高则表明电池健康度越差，而为了避免发生大量的动力电池均处于健康度较差的状态，可以将第二评级阈值设置为一个较小值，当动力电池的电池评级小于该第二评级阈值后即采用交流慢充的方式充电，可以延长动力电池的使用寿命，进而提高一定数量动力电池的整体使用寿命。优选地，本实施例中可以将第二评级阈值设定为5。It can be seen from the foregoing that the higher the rating of the battery indicates that the battery health is worse, and in order to avoid a large number of power batteries being in a state of poor health, 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. Preferably, the second rating threshold can be set to 5 in this embodiment.
下面分别对本实施例提供的多个优选的换电策略实施方案进行说明，具体为：The following is a description of a plurality of preferred power-changing policy implementations provided in this embodiment, specifically:
实施方案一：Embodiment 1:
本实施例中可以判断动力电池的电池评级是否大于第二评级阈值，若是则将该动力电池置换到用户评级小于第一评级阈值且采用家用充电桩充电的电动汽车。In this embodiment, it may be determined whether the battery rating of the power battery is greater than a second rating threshold, and if so, the power battery is replaced with an electric vehicle whose user rating is less than the first rating threshold and charged by the household charging post.
由前述可知，用户评级等级越小则表明电池损耗越小，同时家用充电桩主要为慢充桩，其对动力电池的充电损伤比较小，因而可以判断用户评级小于第一评级阈值且采用家用充电桩充电的电动汽车用户不仅为优质用户，而且对动力电池的充电完成时间要求较低，也可以表明该优质用户对电动汽车单次行车里程要求较低。综上所述，本实施例中将电池评级大于第二评级阈值的动力电池置换到该优质用户的电动汽车上，既可以满足该优质用户的行车需求还可以延长该动力电池的使用寿命。It can be seen from the foregoing that the smaller the user rating level is, the smaller the battery loss is, and the household charging pile is mainly a slow charging pile, and the charging damage to the power battery is relatively small, so that the user rating can be judged to be less than the first rating threshold and the household charging is adopted. 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. In summary, in the embodiment, 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.
实施方案二：Implementation 2:
本实施例中可以判断是否检测到高风险行车条件，若检测到则将电池评级小于第一评级阈值的动力电池更换到电动汽车上。其中，高风险行车条件指的是电动汽车行驶过程中极易发生行车事故的情况，具体地，本实施例中高风险行车条件可以包括电动汽车期望出行时间对应的气象信息为较差气象、和/或电动汽车的期望出行距离大于距离阈值。In this embodiment, it can be determined whether a high-risk driving condition is detected, and if detected, the power battery whose battery rating is less than the first rating threshold is replaced with the electric vehicle. 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.
例如，当电动汽车期望出行时间对应的气象信息为高温且风级较大时，电动汽车在此气象环境下行车对动力电池的耗电量较大，可以判断此气象信息为较差气象，因此需要将电池健康度较好的动力电池更换到电动汽车上，保证其可以安全出行。For example, when the meteorological information corresponding to the travel time of the electric vehicle is high temperature and the wind level is large, 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.
又例如，当设定距离阈值为150km，且电动汽车的期望出行距离为200km时，表明电动汽车行驶该距离所消耗的电池电量也比较大，因此需要将电池健康度较好的动力电池更换到电动汽车上，保证其可以安全出行。For example, when 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.
综上所述，本实施例中首先依据电动汽车的行车数据和动力电池的历史充放电数据，确定电动汽车的用户评级和动力电池的电池评级，然后依据用户评级和/或电池评级，以及预设的动力电池加电优化策略生成电池加电优化方案。通过上述实施步骤，可以合理地确定动力电池的加电方案，既可以满足电动汽车用户的行车需求，还可以提高动力电池的使用寿命。进一步地，本实施例中还可以依据用户评级和电池评级设置电动汽车的保险费用，例如对用户评级和电池评级均高出一定基准值的电动汽车用户增收一定数额的保险费用。同时，还可以依据电动汽车的行车数据和动力电池的历史充放电数据，评估是否存在处于异常状态的动力电池。In summary, in this embodiment, firstly, based on the driving data of the electric vehicle and the historical charging and discharging data of the power battery, 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. Through the above implementation steps, 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. Further, in this embodiment, 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. At the same time, it is also possible to evaluate whether there is a power battery in an abnormal state based on the driving data of the electric vehicle and the historical charging and discharging data of the power battery.
上述实施例中虽然将各个步骤按照上述先后次序的方式进行了描述，但是本领域技术人员可以理解，为了实现本实施例的效果，不同的步骤之间不必按照这样的次序执行，其可以同时(并行)执行或以颠倒的次序执行，这些简单的变化都在本发明的保护范围之内。In the above embodiment, although the steps are described in the above-described order, those skilled in the art can understand that in order to implement the effects of the embodiment, different steps need not be performed in this order, which can be simultaneously ( Performed in parallel or in reverse order, these simple variations are within the scope of the invention.
本发明的各个部件实施例可以以硬件实现，或者以在一个或者多个处理器上运行的软件模块实现，或者以它们的组合实现。本领域的技术人员应当理解，可以在实践中使用微处理器或者数字信号处理器(DSP)来实现根据本发明实施例的服务器、客户端中的一些或者全部部件的一些或者全部功能。本发明还可以实现为用于执行这里所描述的方法的一部分或者全部的设备或者装置程序(例如，PC程序和PC程序产品)。这样的实现本发明的程序可以存储在PC可读介质上，或者可以具有一个或者多个信号的形式。这样的信号可以从因特网网站上下载得到，或者在载体信号上提供，或者以任何其他形式提供。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. Those skilled in the art will appreciate that a microprocessor or digital signal processor (DSP) 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. Such 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.
基于与方法实施例相同的技术构思，本发明实施例还提供一种动力电池的加电优化装置。下面结合附图对该动力电池的加电优化装置进行具体说明。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.
图2示例性示出了本实施例中一种动力电池的加电优化装置，如图所示，本实施例中加电优化装置可以包括信息获取模块11和加 电优化方案生成模块12。其中，信息获取模块11可以配置为获取动力电池的电池评级。加电优化方案生成模块12可以配置为依据电池评级，基于预设的动力电池加电优化策略，生成电池加电优化方案。电池评级为依据动力电池的历史充放电数据，按照预设的电池评级方法确定的动力电池健康状态等级。电池加电优化方案包括换电优化方案、和/或充电优化方案。FIG. 2 exemplarily shows a power-on optimization device for a power battery in the embodiment. As shown in the figure, 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.
进一步地，本实施例中信息获取模块11还可以配置为获取电动汽车的用户评级。加电优化方案生成模块12还可以配置为依据用户评级，基于预设的动力电池加电优化策略，生成电池加电优化方案。其中，用户评级为依据电动汽车历史数据中预设类别的动力电池状态信息，按照预设的用户评级方法确定的电池损耗等级。换电优化方案为基于动力电池加电优化策略确定的电动汽车换电时所更换动力电池的电池评级。充电优化方案为基于动力电池加电优化策略确定的动力电池充电时的充电方案。Further, 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.
进一步地，本实施例中动力电池的加电优化装置还可以包括电池评级设置单元，该电池评级设置单元可以配置为执行预设的电池评级方法。其中，该电池评级方法与前述动力电池的加电优化方法实施例所述的电池评级方法相同，为了描述简洁，在此不再赘述。Further, 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.
进一步地，本实施例中动力电池的加电优化装置还可以包括用户评级设置单元，该用户评级设置单元可以配置为执行预设的用户评级方法。其中，该用户评级方法与前述动力电池的加电优化方法实施例所述的用户评级方法相同，为了描述简洁，在此不再赘述。Further, 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.
进一步地，本实施例中动力电池的加电优化装置还可以包括第一充电策略设置模块，该第一充电策略设置模块可以配置为依据预设的评级对应关系，选取与用户评级对应的电池评级，并将所选取的电池评级对应的动力电池更换到电动汽车上。其中，评级对应关系中用户评级与电池评级正相关。Further, 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.
进一步地，本实施例中动力电池的加电优化装置还可以包括第二充电策略设置模块，该第二充电策略设置模块可以配置为判断在预设时间段内电动汽车的用户评级和电池评级的变化趋势是否为变差趋势，若是则采用交流慢充方式对该动力电池进行充电。Further, 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.
进一步地，本实施例中动力电池的加电优化装置还可以包括第三充电策略设置模块，该第三充电策略设置模块可以配置为判断电动汽车的用户评级和电池评级是否均大于第一评级阈值：若是则关闭该电动汽车进行快速充电的权限。Further, 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.
进一步地，本实施例中动力电池的加电优化装置还可以包括第四充电策略设置模块，该第四充电策略设置模块可以配置为判断动力电池的电池评级是否大于第二评级阈值，若是则采用交流慢充方式对该动力电池进行充电。Further, 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.
进一步地，本实施例中动力电池的加电优化装置还可以包括第一换电策略设置模块，该第一换电策略设置模块可以配置为判断动力电池的电池评级是否大于第二评级阈值，若是则将该动力电池置换到用户评级小于第一评级阈值且采用家用充电桩充电的电动汽车。Further, 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.
进一步地，本实施例中动力电池的加电优化装置还可以包括第二换电策略设置模块，该第二换电策略设置模块可以配置为判断是否检测到高风险行车条件，若是则将电池评级小于第一评级阈值的动力电池更换到电动汽车上。其中，高风险行车条件包括电动汽车期望出行时间对应的气象信息为较差气象、和/或电动汽车的期望出行距离大于距离阈值。Further, 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. Among them, 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.
上述动力电池的加电优化装置实施例可以用于执行上述动力电池的加电优化方法实施例，其技术原理、所解决的技术问题及产生的技术效果相似，所属技术领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的动力电池的加电优化的具体工作过程及有关说明，可以参考前述动力电池的加电优化方法实施例中的对应过程，在此不再赘述。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 For the convenience and simplicity of the description, 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.
本领域技术人员可以理解，上述动力电池的加电优化装置还包括一些其他公知结构，例如处理器、控制器、存储器等，其中，存储器包括但不限于随机存储器、闪存、只读存储器、可编程只读存储器、易失性存储器、非易失性存储器、串行存储器、并行存储器或寄存器等，处理器包括但不限于CPLD/FPGA、DSP、ARM处理器、MIPS处理器等，为了不必要地模糊本公开的实施例，这些公知的结构未在图2中示出。It will be understood by those skilled in the art that 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.
应该理解，图2中的各个模块的数量仅仅是示意性的。根据实际需要，各模块可以具有任意的数量。It should be understood that the number of individual modules in Figure 2 is merely illustrative. Each module can have any number according to actual needs.
本领域技术人员可以理解，可以对实施例中的装置中的模块进行自适应性地改变并且把它们设置在与该实施例不同的一个或多个设备中。可以把实施例中的模块或单元或组件组合成一个模块或单元或组件，以及此外可以把它们分成多个子模块或子单元或子组件。除了这样的特征和/或过程或者单元中的至少一些是相互排斥之外，可以采用任何组合对本说明书(包括伴随的权利要求、摘要和附图)中公开的所有特征以及如此公开的任何方法或者设备的所有过程或单元进行组合。除非另外明确陈述，本说明书(包括伴随的权利要求、摘要和附图)中公开的每个特征可以由提供相同、等同或相似目的的替代特征来代替。Those skilled in the art will appreciate that the 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. In addition to such features and/or at least some of the processes or units being mutually exclusive, 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.
基于上述动力电池的加电优化装置实施例，本发明实施例还提供了一种终端设备，该终端设备可以包括加电策略评价模块和上述动力电池的加电优化装置实施例所述的动力电池的加电优化装置。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.
其中：among them:
加电优化装置可以配置为确定电动汽车的加电优化方案。The power up optimization device can be configured to determine a power up optimization scheme for the electric vehicle.
加电策略评价模块可以配置为依据电池评级变化状态设定加电策略的评价等级。本实施例中电池评级变化状态为控制电动汽车按照加电优化方案完成加电后，该电动汽车中动力电池的电池评级变化状态。例如，当电池评级变化状态较小，即电池评级的等级变化量较小时加电策略评价模块可以设定一个较高的评级等级。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. In this embodiment, 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.
本实施例提供的终端设备可以应用于动力电池配送技术领域，配送员可以依据终端设备确定的加电优化方案对动力电池加电，并在完成加电后得到相应的评级等级。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.
基于上述动力电池的加电优化装置实施例，本发明实施例还提供了一种加电设施，该加电设施可以包括上述动力电池的加电优化装置实施例所述的动力电池的加电优化装置。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.
进一步地，本实施例中加电设施可以为换电站、充电站或移动充电设备。本实施例中换电站、充电站和移动充电设备，通过加电优化装置不仅可以确定合理的动力电池加电方案，还可以优化其所包含的动力电池的整体寿命。Further, the power-on facility in this embodiment may be a power station, a charging station, or a mobile charging device. In the present embodiment, 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.
基于上述动力电池的加电优化方法实施例，本发明实施例还提供了一种计算机可读存储介质，该计算机可读存储介质中可以存储有 计算机程序，该程序可以适用于由处理器加载并执行以实现上述动力电池的加电优化方法实施例所述的动力电池的加电优化方法中的各步骤。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. Each step in the power-on optimization method of the power battery described in the embodiment of the power-on optimization method of the above-described power battery is performed.
本实施例中通过在计算机可读存储介质存储可以用于执行并实现动力电池的加电优化方法中的各步骤的程序，有利于动力电池的加电优化方法的实施。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.
基于上述动力电池的加电优化方法实施例，本发明实施例还提供了一种计算机设备，该计算机设备可以包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，同时该处理器可以执行程序时实现上述动力电池的加电优化方法实施例所述的动力电池的加电优化方法中的各步骤。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.
本实施例中通过在处理器中设置存储有可以执行程序时实现动力电池的加电优化方法中的各步骤程序，有利于动力电池的加电优化方法的实施。In this embodiment, 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.
本领域的技术人员能够理解，尽管在此所述的一些实施例包括其它实施例中所包括的某些特征而不是其它特征，但是不同实施例的特征的组合意味着处于本发明的范围之内并且形成不同的实施例。例如，在本发明的权利要求书中，所要求保护的实施例的任意之一都可以以任意的组合方式来使用。It will be understood by those skilled in the art that although some embodiments described herein include certain features included in other embodiments and not other features, combinations of features of different embodiments are intended to be within the scope of the present invention. And different embodiments are formed. For example, in the claims of the present invention, any one of the claimed embodiments can be used in any combination.
应该注意的是上述实施例对本发明进行说明而不是对本发明进行限制，并且本领域技术人员在不脱离所附权利要求的范围的情况下可设计出替换实施例。在权利要求中，不应将位于括号之间的任何参考符号构造成对权利要求的限制。单词“包含”不排除存在未列在权利要求中的元件或步骤。位于元件之前的单词“一”或“一个”不排除存在多个这样的元件。本发明可以借助于包括有若干不同元件的硬件以及借助于适当编程的PC来实现。在列举了若干装置的单元权利要求中，这些装置中的若干个可以是通过同一个硬件项来具体体现。单词第一、第二、以及第三等的使用不表示任何顺序。可将这些单词解释为名称。It is to be noted that the above-described embodiments are illustrative of the invention and are not intended to be limiting, and that the invention may be devised without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as a limitation. The word "comprising" does not exclude the presence of the elements or steps that are not recited in the claims. The word "a" or "an" The invention can be implemented by means of hardware comprising several distinct elements and by means of a suitably programmed PC. In the unit claims enumerating several means, several of these means can be embodied by the same hardware item. The use of the words first, second, and third does not indicate any order. These words can be interpreted as names.
至此，已经结合附图所示的优选实施方式描述了本发明的技术方案，但是，本领域技术人员容易理解的是，本发明的保护范围显然不局限于这些具体实施方式。在不偏离本发明的原理的前提下，本领域技术人员可以对相关技术特征作出等同的更改或替换，这些更改或替换之后的技术方案都将落入本发明的保护范围之内。Heretofore, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the drawings, but it is obvious to those skilled in the art that the scope of the present invention is obviously not limited to the specific embodiments. Those skilled in the art can make equivalent changes or substitutions to the related technical features without departing from the principles of the present invention, and the technical solutions after the modifications or replacements fall within the scope of the present invention.

Claims (26)

  1. 一种动力电池的加电优化方法，其特征在于，所述方法包括：A method for powering optimization of a power battery, characterized in that the method comprises:
    获取动力电池的电池评级；Obtain a battery rating of the power battery;
    依据所述电池评级，基于预设的动力电池加电优化策略，生成电池加电优化方案；According to the battery rating, a battery power optimization scheme is generated based on a preset power battery power optimization strategy;
    其中：among them:
    所述电池评级为：依据所述动力电池的历史充放电数据，按照预设的电池评级方法确定的动力电池健康状态等级；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;
    所述电池加电优化方案包括换电优化方案、和/或充电优化方案。The battery power optimization scheme includes a power conversion optimization scheme, and/or a charging optimization scheme.
  2. 据权利要求1所述的方法，其特征在于，The method of claim 1 wherein
    所获取的信息还包括电动汽车的用户评级；The information obtained also includes the user rating of the electric vehicle;
    生成所述电池加电优化方案所依据的信息还包括所述用户评级；The information upon which the battery power optimization scheme is generated further includes the user rating;
    其中：among them:
    所述用户评级为：依据电动汽车历史数据中预设类别的动力电池状态信息，按照预设的用户评级方法确定的电池损耗等级；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;
    所述换电优化方案为：基于所述动力电池加电优化策略确定的所述电动汽车换电时所更换动力电池的电池评级；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;
    所述充电优化方案为：基于所述动力电池加电优化策略确定的所述动力电池充电时的充电方案。The charging optimization scheme is: a charging scheme when the power battery is charged based on the power battery power optimization strategy.
  3. 据权利要求2所述的方法，其特征在于，The method of claim 2, wherein
    所述动力电池的历史充放电数据，包括充放电过程中电压的时间变化数据、和/或电流的时间变化数据、和/或电池温度的时间变化数据；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;
    所述电动汽车历史数据中预设类别的动力电池状态信息，包括动力电池的百公里耗电量、和/或行车过程中的电池告警信息、和/或行车过程中的电池损伤信息。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.
  4. 根据权利要求1-3中任一项所述的方法，其特征在于，A method according to any one of claims 1 to 3, characterized in that
    所述电池评级方法为按照下式计算动力电池健康状态等级K b的方 法，具体为： 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 K b = M × Z × 100
    其中，所述Z为动力电池充放电过程中告警信息对应的权重值，1<Z<2；所述M为动力电池的历史充放电数据与预设的充放电数据的差异程度，0≤M<1。Wherein, 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.
  5. 根据权利要求2或3所述的方法，其特征在于，Method according to claim 2 or 3, characterized in that
    所述用户评级方法为按照下式计算电池损耗等级L u的方法，具体为： The method according to method User rating calculated battery consumption level L u, specifically:
    L u＝WL L u = WL
    其中，所述W为电池告警信息和电池损伤信息所对应的权重值；所述L为依据百公里耗电量C，所确定的用户等级值，具体为：Wherein, 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:
    若C<C 0，则L＝0，否则
    Figure PCTCN2018075680-appb-100001
    If C<C 0 , then L=0, otherwise
    Figure PCTCN2018075680-appb-100001
    其中，所述C 0为预设的耗电量基准值；所述
    Figure PCTCN2018075680-appb-100002
    为向上取整符号。     Wherein, the C 0 is a preset power consumption reference value;
    Figure PCTCN2018075680-appb-100002
    Round up the symbol.
  6. 根据权利要求2或3所述的方法，其特征在于，Method according to claim 2 or 3, characterized in that
    所述动力电池加电优化策略为动力电池的充电策略，该策略包括：The power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
    依据预设的评级对应关系，选取与用户评级对应的电池评级，并将所选取的电池评级对应的动力电池更换到电动汽车上；According to 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;
    所述评级对应关系中用户评级与电池评级正相关。The user rating in the rating correspondence is positively related to the battery rating.
  7. 根据权利要求2或3所述的方法，其特征在于，Method according to claim 2 or 3, characterized in that
    所述动力电池加电优化策略为动力电池的充电策略，该策略包括：The power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
    判断在预设时间段内电动汽车的用户评级和电池评级的变化趋势是否为变差趋势，若是则采用交流慢充方式对该动力电池进行充电。It is determined 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, the power battery is charged by the AC slow charging method.
  8. 根据权利要求2或3所述的方法，其特征在于，Method according to claim 2 or 3, characterized in that
    所述动力电池加电优化策略为动力电池的充电策略，该策略包括：The power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
    判断电动汽车的用户评级和电池评级是否均大于第一评级阈值：若 是则关闭该电动汽车进行快速充电的权限。It is judged whether the electric vehicle's user rating and battery rating are both greater than the first rating threshold: if so, the electric vehicle is turned off for quick charging.
  9. 根据权利要求1-3中任一项所述的方法，其特征在于，A method according to any one of claims 1 to 3, characterized in that
    所述动力电池加电优化策略为动力电池的充电策略，该策略包括：The power battery power optimization strategy is a power battery charging strategy, and the strategy includes:
    判断动力电池的电池评级是否大于第二评级阈值，若是则采用交流慢充方式对该动力电池进行充电。It is determined whether the battery rating of the power battery is greater than a second rating threshold, and if so, the power battery is charged by an AC slow charging method.
  10. 根据权利要求2或3所述的方法，其特征在于，Method according to claim 2 or 3, characterized in that
    所述动力电池加电优化策略为动力电池的换电策略，该策略包括：The power battery power optimization strategy is a power battery power exchange strategy, and the strategy includes:
    判断动力电池的电池评级是否大于第二评级阈值，若是则将该动力电池置换到用户评级小于第一评级阈值且采用家用充电桩充电的电动汽车。Determining whether the battery rating of the power battery is greater than a second rating threshold, and if so, replacing the power battery with an electric vehicle having a user rating less than a first rating threshold and charging with a household charging post.
  11. 根据权利要求1-3中任一项所述的方法，其特征在于，A method according to any one of claims 1 to 3, characterized in that
    所述动力电池加电优化策略为动力电池的换电策略，该策略包括：判断是否检测到高风险行车条件，若是则将电池评级小于第一评级阈值的动力电池更换到电动汽车上；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;
    所述高风险行车条件包括电动汽车期望出行时间对应的气象信息为较差气象、和/或电动汽车的期望出行距离大于距离阈值。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.
  12. 一种动力电池的加电优化装置，其特征在于，所述装置包括：A power-optimizing device for a power battery, characterized in that the device comprises:
    信息获取模块，配置为获取动力电池的电池评级；An information acquisition module configured to obtain a battery rating of the power battery;
    加电优化方案生成模块，配置为依据所述电池评级，基于预设的动力电池加电优化策略，生成电池加电优化方案；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;
    其中：among them:
    所述电池评级为：依据所述动力电池的历史充放电数据，按照预设的电池评级方法确定的动力电池健康状态等级；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;
    所述电池加电优化方案包括换电优化方案、和/或充电优化方案。The battery power optimization scheme includes a power conversion optimization scheme, and/or a charging optimization scheme.
  13. 根据权利要求12所述的装置，其特征在于，The device according to claim 12, characterized in that
    所述信息获取模块，还配置为获取电动汽车的用户评级；The information acquisition module is further configured to obtain a user rating of the electric vehicle;
    所述加电优化方案生成模块，还配置为依据所述用户评级，基于预 设的动力电池加电优化策略，生成电池加电优化方案；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;
    其中：among them:
    所述用户评级为：依据电动汽车历史数据中预设类别的动力电池状态信息，按照预设的用户评级方法确定的电池损耗等级；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;
    所述换电优化方案为：基于所述动力电池加电优化策略确定的所述电动汽车换电时所更换动力电池的电池评级；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;
    所述充电优化方案为：基于所述动力电池加电优化策略确定的所述动力电池充电时的充电方案。The charging optimization scheme is: a charging scheme when the power battery is charged based on the power battery power optimization strategy.
  14. 根据权利要求12或13所述的装置，其特征在于，Device according to claim 12 or 13, characterized in that
    所述装置还包括电池评级设置单元；所述电池评级设置单元，配置为执行预设的电池评级方法，所述电池评级方法为按照下式计算动力电池健康状态等级K b的方法，具体为： 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 K b = M × Z × 100
    其中，所述Z为动力电池充放电过程中告警信息对应的权重值，1<Z<2；所述M为动力电池的历史充放电数据与预设的充放电数据的差异程度，0≤M<1。Wherein, 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.
  15. 根据权利要求13所述的装置，其特征在于，The device of claim 13 wherein:
    所述装置还包括用户评级设置单元；所述用户评级设置单元，配置为执行预设的用户评级方法，所述用户评级方法为按照下式计算电池损耗等级L u的方法，具体为： 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:
    L u＝WL L u = WL
    其中，所述W为电池告警信息和电池损伤信息所对应的权重值；所述L为依据百公里耗电量C，所确定的用户等级值，具体为：Wherein, 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:
    若C<C 0，则L＝0，否则
    Figure PCTCN2018075680-appb-100003
    If C<C 0 , then L=0, otherwise
    Figure PCTCN2018075680-appb-100003
    其中，所述C 0为预设的耗电量基准值，所述
    Figure PCTCN2018075680-appb-100004
    为向上取整符号。     Wherein C 0 is a preset power consumption reference value,
    Figure PCTCN2018075680-appb-100004
    Round up the symbol.
  16. 根据权利要求13所述的装置，其特征在于，The device of claim 13 wherein:
    所述装置还包括第一充电策略设置模块；The device also includes a first charging policy setting module;
    所述第一充电策略设置模块，配置为依据预设的评级对应关系，选取与用户评级对应的电池评级，并将所选取的电池评级对应的动力电池更换到电动汽车上；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;
    所述评级对应关系中用户评级与电池评级正相关。The user rating in the rating correspondence is positively related to the battery rating.
  17. 根据权利要求13所述的装置，其特征在于，The device of claim 13 wherein:
    所述装置还包括第二充电策略设置模块；The device also includes a second charging policy setting module;
    所述第二充电策略设置模块，配置为判断在预设时间段内电动汽车的用户评级和电池评级的变化趋势是否为变差趋势，若是则采用交流慢充方式对该动力电池进行充电。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.
  18. 根据权利要求13所述的装置，其特征在于，The device of claim 13 wherein:
    所述装置还包括第三充电策略设置模块；The device also includes a third charging policy setting module;
    所述第三充电策略设置模块，配置为判断电动汽车的用户评级和电池评级是否均大于第一评级阈值：若是则关闭该电动汽车进行快速充电的权限。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.
  19. 根据权利要求12或13所述的装置，其特征在于，Device according to claim 12 or 13, characterized in that
    所述装置还包括第四充电策略设置模块；The device further includes a fourth charging policy setting module;
    所述第四充电策略设置模块，配置为判断动力电池的电池评级是否大于第二评级阈值，若是则采用交流慢充方式对该动力电池进行充电。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.
  20. 根据权利要求13所述的装置，其特征在于，The device of claim 13 wherein:
    所述装置还包括第一换电策略设置模块；The device further includes a first power conversion policy setting module;
    所述第一换电策略设置模块，配置为判断动力电池的电池评级是否大于第二评级阈值，若是则将该动力电池置换到用户评级小于第一评级阈值且采用家用充电桩充电的电动汽车。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.
  21. 根据权利要求13所述的装置，其特征在于，The device of claim 13 wherein:
    所述装置还包括第二换电策略设置模块；The device further includes a second power-changing policy setting module;
    所述第二换电策略设置模块，配置为判断是否检测到高风险行车条件，若是则将电池评级小于第一评级阈值的动力电池更换到电动汽车上；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;
    所述高风险行车条件包括电动汽车期望出行时间对应的气象信息为较差气象、和/或电动汽车的期望出行距离大于距离阈值。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.
  22. 一种终端设备，其特征在于，所述终端设备包括加电策略评价模块和权利要求12-21所述的动力电池的加电优化装置；A terminal device, comprising: a power-on policy evaluation module; and a power-on optimization device of the power battery according to claims 12-21;
    所述加电优化装置，配置为确定电动汽车的加电优化方案；The power-on optimization device is configured to determine a power-on optimization scheme of the electric vehicle;
    所述加电策略评价模块，配置为依据电池评级变化状态设定加电策略的评价等级；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;
    其中，所述电池评级变化状态为控制电动汽车按照所述加电优化方案完成加电后，该电动汽车中动力电池的电池评级变化状态。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.
  23. 一种加电设施，其特征在于，所述加电设施包括权利要求12-21所述的动力电池的加电优化装置。An energizing facility, characterized in that the power-up facility comprises the power-up optimization device of the power battery of claims 12-21.
  24. 根据权利要求23所述的加电设施，其特征在于，A power-on facility according to claim 23, wherein
    所述加电设施为换电站、或充电站、或移动充电设备。The power-on facility is a power station, or a charging station, or a mobile charging device.
  25. 一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机程序，其特征在于，所述程序适用于由处理器加载并执行以实现权利要求1-11所述的动力电池的加电优化方法中的各步骤。A computer readable storage medium having stored therein a computer program, wherein the program is adapted to be loaded and executed by a processor to implement the power battery of claims 1-11 Each step in the electrical optimization method.
  26. 一种计算机设备，所述计算机设备包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述程序时实现权利要求1-11所述的动力电池的加电优化方法中的各步骤。A computer device comprising 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 claims 1-11 Each step in the power-on optimization method of the power battery.
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