CN118144637A - Battery thermal management control method, control system and vehicle - Google Patents

Battery thermal management control method, control system and vehicle Download PDF

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Publication number
CN118144637A
CN118144637A CN202410443130.6A CN202410443130A CN118144637A CN 118144637 A CN118144637 A CN 118144637A CN 202410443130 A CN202410443130 A CN 202410443130A CN 118144637 A CN118144637 A CN 118144637A
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CN
China
Prior art keywords
power battery
charging
vehicle
user
thermal management
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Pending
Application number
CN202410443130.6A
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Chinese (zh)
Inventor
梁晶晶
陶攀
徐书琴
杨晓宁
吴越鉴
郭永斌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Geely Holding Group Co Ltd
Zhejiang Remote Commercial Vehicle R&D Co Ltd
Zhejiang Geely Remote New Energy Commercial Vehicle Group Co Ltd
Original Assignee
Zhejiang Geely Holding Group Co Ltd
Zhejiang Remote Commercial Vehicle R&D Co Ltd
Zhejiang Geely Remote New Energy Commercial Vehicle Group Co Ltd
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Application filed by Zhejiang Geely Holding Group Co Ltd, Zhejiang Remote Commercial Vehicle R&D Co Ltd, Zhejiang Geely Remote New Energy Commercial Vehicle Group Co Ltd filed Critical Zhejiang Geely Holding Group Co Ltd
Priority to CN202410443130.6A priority Critical patent/CN118144637A/en
Publication of CN118144637A publication Critical patent/CN118144637A/en
Pending legal-status Critical Current

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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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00—Heating, cooling or ventilating [HVAC] devices
    • B60H1/00271—HVAC devices specially adapted for particular vehicle parts or components and being connected to the vehicle HVAC unit
    • B60H1/00278—HVAC devices specially adapted for particular vehicle parts or components and being connected to the vehicle HVAC unit for the battery
    • 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
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12—Recording operating variables ; Monitoring of operating variables
    • 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
    • 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
    • B60L58/24—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
    • B60L58/26—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries by cooling
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00—Heating, cooling or ventilating [HVAC] devices
    • B60H1/00271—HVAC devices specially adapted for particular vehicle parts or components and being connected to the vehicle HVAC unit
    • B60H2001/00307—Component temperature regulation using a liquid flow
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2260/00—Operating Modes
    • B60L2260/40—Control modes
    • B60L2260/50—Control modes by future state prediction
    • B60L2260/52—Control modes by future state prediction drive range estimation, e.g. of estimation of available travel distance

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

Abstract

The application provides a battery thermal management control method, a control system and a vehicle. The method comprises the following steps: in the running process of the vehicle, predicting the charging requirement of a user; when a user has a charging requirement, acquiring the current temperature of the power battery; predicting a cooling value of the power battery based on the current temperature and the optimal charging temperature of the power battery; and performing thermal management control on the power battery based on the cooling value of the power battery to adjust the current temperature of the power battery to an optimal charging temperature. According to the application, the power battery is effectively thermally managed before charging, so that the temperature of the power battery can be adjusted to the most appropriate charging temperature in advance when a user charges, and the charging time of the power battery is prolonged.

Description

Battery thermal management control method, control system and vehicle
Technical Field
The present application relates to the field of vehicle technologies, and in particular, to a battery thermal management control method, a control system, and a vehicle.
Background
At present, with the development of the power battery industry of new energy vehicles at home and abroad, the charging problem is always the subject of important attention of industry development, and is a main factor influencing users to purchase new energy vehicles. In order to improve the charging speed, a scheme for replacing a battery is provided on a hardware structure; in terms of battery performance, 800V and fast-charging battery schemes are proposed.
The temperature of the power cell will directly affect the charging time of the power cell. The higher the temperature of the power battery, the longer the charging time of the power battery. Most users tend to charge the automobile when the driving is finished, but the temperature of the power battery is higher in the driving process and does not reach the starting condition set by thermal management, and at the moment, the charging efficiency is lower, so that the charging time is longer.
Disclosure of Invention
The embodiment of the application aims to provide a battery thermal management control method, a control system and a vehicle, which can effectively solve the problem of charging time of a power battery.
One aspect of the embodiments of the present application provides a battery thermal management control method. The method comprises the following steps:
In the running process of the vehicle, predicting the charging requirement of a user;
When a user has a charging requirement, acquiring the current temperature of the power battery;
Predicting a cooling value of the power battery based on a current temperature and an optimal charging temperature of the power battery; and
And performing thermal management control on the power battery based on the cooling value of the power battery so as to adjust the current temperature of the power battery to the optimal charging temperature.
Further, the predicting the charging demand of the user includes:
acquiring the current residual electric quantity of the power battery;
acquiring running planning information of a vehicle; and
The charging demand of the user is predicted based on at least one of the remaining power of the power battery and the travel planning information.
Further, the acquiring the driving planning information of the vehicle includes:
Acquiring a driving destination of a vehicle;
Determining an estimated range of the vehicle based on the destination of the vehicle;
wherein predicting the charging demand of the user based on at least one of the current remaining power of the power battery and the travel planning information includes:
Predicting a range of the vehicle based on a current remaining power of the power battery; and
Predicting whether the user has a charging demand based on the range of the vehicle and the projected range.
Further, when the driving destination is a location of a charging station, then the user is predicted to have a charging demand.
Further, the predicting the charging demand of the user further includes:
the charging habit of the user is obtained through the big data,
Wherein the charging demand of the user is predicted based on at least one of the current remaining power of the power battery, the travel planning information, and the charging habit of the user.
Further, the method further comprises:
obtaining a temperature rise value of the power battery reaching the driving destination,
Wherein predicting the cooling value of the power battery based on the current temperature and the optimal charging temperature of the power battery comprises:
And predicting the cooling value of the power battery based on the current temperature of the power battery, the optimal charging temperature and the temperature rise value reaching the driving destination.
Further, the acquiring the temperature rise value of the power battery to the travel destination includes:
obtaining a mapping relation between the driving mileage of the vehicle and the temperature rise value of the power battery based on the ambient temperature and the driving history information record of the vehicle; and
And obtaining the temperature rise value of the power battery reaching the driving destination according to the current environment temperature and the expected driving mileage and through the mapping relation.
Further, the performing thermal management control on the power battery based on the cooling value of the power battery includes:
When the thermal management system is started currently, adjusting the output power of the thermal management system based on the cooling value; and
When the thermal management system is not started currently, the thermal management system is started in advance and the output power of the thermal management system is adjusted based on the cooling value.
Another aspect of an embodiment of the present application provides a battery thermal management control system. The battery thermal management control system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the battery thermal management control method when executing the program.
Yet another aspect of an embodiment of the present application provides a vehicle. The vehicle includes a battery thermal management control system as described above.
According to the battery thermal management control method, the control system and the vehicle, provided by one or more embodiments of the application, the thermal management control strategy which is suitable for the charging requirement of the user is determined by predicting the charging intention of the user, and the power battery is effectively thermally managed before charging, so that the temperature of the power battery can be adjusted to the most suitable charging temperature in advance when the user charges, the charging time of the power battery is improved, and the charging experience of the user is further improved.
Drawings
Fig. 1 is a flowchart of a battery thermal management control method according to an embodiment of the present application.
Fig. 2 is a flowchart showing steps performed in a battery thermal management control method according to an embodiment of the present application.
Fig. 3 is a schematic block diagram of a battery thermal management control system according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus consistent with aspects of the application as detailed in the accompanying claims.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. Unless defined otherwise, technical or scientific terms used in the embodiments of the present application should be given the ordinary meaning as understood by one of ordinary skill in the art to which the present application belongs. The terms first, second and the like in the description and in the claims, are not used for any order, quantity or importance, but are used for distinguishing between different elements. Likewise, the terms "a" or "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one. "plurality" or "plurality" means two or more. Unless otherwise indicated, the terms "front," "rear," "lower," and/or "upper" and the like are merely for convenience of description and are not limited to one location or one spatial orientation. The word "comprising" or "comprises", and the like, means that elements or items appearing before "comprising" or "comprising" are encompassed by the element or item recited after "comprising" or "comprising" and equivalents thereof, and that other elements or items are not excluded. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
With the development of intelligent cabins and high-precision maps in recent years, the driving habits and travel information of users can be accurately known, and based on the development of the technology, the charging strategy can be planned by combining the travel information of the users so as to improve the charging experience of the users.
The battery thermal management control method, the control system and the vehicle according to the present application will be described in detail with reference to the accompanying drawings. The features of the examples and embodiments described below may be combined with each other without conflict.
The application provides a battery thermal management control method. Fig. 1 discloses a flowchart of a battery thermal management control method according to an embodiment of the present application. As shown in fig. 1, the battery thermal management control method according to an embodiment of the present application may include steps S1 to S4.
In step S1, the charging demand of the user is predicted during the running of the vehicle. When it is predicted that the user has a charging demand, the process proceeds to step S2.
In step S2, when a user has a charging demand, the current temperature of the power battery is obtained. Then, the process advances to step S3.
The temperatures at a plurality of temperature points of the power cell can be obtained at each sampling time. Alternatively, the highest temperature of the plurality of temperature points of the sampled power battery is taken as the current temperature of the power battery.
In step S3, the cooling value of the power battery may be predicted based on the current temperature and the optimal charging temperature of the power battery acquired in step S2. Then, the process advances to step S4.
In step S4, the power battery may be thermally managed based on the cooling value of the power battery predicted in step S3 to adjust the current temperature of the power battery to the optimal charging temperature.
The battery thermal management control method of one embodiment of the present application may further include step S5. In step S5, in the case where the result of the prediction in step S1 is "no charge demand", the thermal management control is performed on the power battery according to the thermal management strategy set in advance.
In some embodiments, predicting the charging demand of the user in step S1 may include steps S11 to S13.
In step S11, the current remaining power of the power battery is acquired.
In step S12, travel plan information of the vehicle is acquired.
In step S13, the charging demand of the user may be predicted based on at least one of the current remaining power of the power battery acquired in step S11 and the travel plan information acquired in step S12.
In some embodiments, the acquiring of the driving plan information of the vehicle of step S12 may include step S121 and step S122. In step S121, the travel destination of the vehicle is acquired. For example, the travel destination of the vehicle may be acquired based on navigation; or the travel destination of the vehicle may be acquired based on the voice or text input information of the user.
In step S122, the estimated driving range of the vehicle is determined based on the driving destination of the vehicle obtained in step S121.
In some embodiments, the range of the vehicle may be predicted based on the current remaining power of the power battery; and predicting whether the user has a charging demand based on the range of the vehicle and the predicted range. And when the difference value between the continuous mileage and the predicted mileage of the vehicle is less than the preset remaining mileage threshold value, predicting that the user has a charging requirement.
For example, the predetermined remaining mileage threshold is set to 10 km. In the driving process of the vehicle, when the current residual quantity of the power battery is 50%, the driving range of the vehicle is predicted to be 200 km, the driving range of the vehicle is predicted to be 195 km when reaching the destination, and the difference between the driving range of the vehicle and the predicted driving range when reaching the destination is only 5 km and is smaller than the preset residual range threshold value of 10 km, so that the user can be predicted to have a charging requirement.
In some embodiments, when the vehicle is traveling at the location of the charging station, then the user may be predicted to have a charging demand.
Of course, sometimes when the navigation destination of the vehicle is a certain charging station, the user may not really want to charge, but just take a rest to the charging station or go to a toilet, etc., so in order to more accurately predict the charging demand of the user, in other embodiments, when the driving destination is the charging station, the charging demand of the user may be further predicted in combination with the current remaining power of the power battery.
For example, when the navigation destination of the vehicle is the position of a certain charging station, but at this time, the current remaining amount of the power battery is 90%, it is predicted that the user's intention to go to the charging station at this time is not charging, and thus, it is predicted that the user is not in need of charging at this time.
For another example, when the navigation destination of the vehicle is the position of a charging station and the current remaining power of the power battery is only 20%, it is predicted that the user wants to charge the charging station at this time, and thus, the user is predicted to have a charging demand. Of course, it is also possible here to predict whether the user has a charging demand according to the range and the estimated range to the charging station as described above. In some embodiments, for example, when the vehicle does not start navigation and cannot know the driving destination of the vehicle, or in the case of knowing the driving destination of the vehicle, the charging demand of the user may also be predicted directly from the current remaining power of the power battery. And when the current residual electric quantity of the power battery is smaller than the preset electric quantity threshold value, predicting that the user has a charging requirement.
In other embodiments, the predicting the charging demand of the user in step S1 may further include step S14. In step S14, the charging habit of the user can be acquired through the big data.
In the case of including step S14, then in step S13, the charging demand of the user may be predicted based on at least one of the remaining power of the power battery acquired in step S11, the travel planning information acquired in step S12, and the charging habit of the user acquired in step S14.
For example, the charging habit of the user obtained through big data is: the user charges the vehicle whenever the user parks the vehicle in a company or cell. In this case, when the traveling destination of the vehicle is acquired based on the navigation as the company where the user is located, at this time, the user is predicted to have the charging demand regardless of the current remaining amount of the power battery.
For another example, when it is judged that the user belongs to a small-sized case by big data, the charging habit is: the user will go to charge the vehicle whenever the remaining power of the power battery is less than 50%. Therefore, in this case, for example, when the obtained remaining amount of the power battery is only 48%, it is predicted that the user has a charging demand.
For another example, when it is determined that the user is of a large size through the big data, the charging habit is: as long as the range of the vehicle is not lower than the estimated range to the destination, the user will not charge the vehicle. For example, when the range of the vehicle is 100 km and the estimated range of the vehicle to the destination is 95 km, the user is predicted to stay driving the vehicle to the destination without supplementing the vehicle during that period. Therefore, it is predicted that the user has no charging demand at this time.
It will be appreciated that the above is merely illustrative of a few application scenarios in which the present application predicts the charging needs of a user. However, the charging needs of the predicted users of the present application are not limited to the above application scenario.
In some embodiments, the battery thermal management control method of the present application may further include step S6. In step S6, a temperature increase value of the power battery to the travel destination may be acquired.
In the case where the temperature rise value of the power battery to the travel destination is obtained, the predicting of the temperature reduction value of the power battery based on the current temperature and the optimal charging temperature of the power battery in step S3 may include: the temperature decrease value of the power battery may be predicted based on the current temperature of the power battery, the optimal charging temperature, and the temperature increase value to the travel destination.
Specifically, the temperature decrease value of the power battery=the current temperature of the power battery+the temperature increase value to the travel destination-the optimal charging temperature.
In some embodiments, acquiring the temperature rise value of the power battery to the travel destination in step S6 may further include step S61 and step S62.
In step S61, a map of the driving range of the vehicle and the temperature rise value of the ambient temperature and the power battery may be obtained based on the ambient temperature and the driving history information record of the vehicle.
In step S62, a temperature increase value of the power battery to the travel destination may be obtained based on the current ambient temperature and the estimated travel mileage obtained in step S122 described above and through the map obtained in step S61.
In some embodiments, the step S4 of thermally managing the power battery based on the cooling value of the power battery may further include a step S41 and a step S42.
In step S41, when the thermal management system is currently turned on, the output power of the thermal management system is adjusted based on the cooling value predicted in step S3.
In step S42, when the thermal management system is not currently turned on, the thermal management system is turned on in advance and the output power of the thermal management system is adjusted based on the cooling value predicted in step S3.
The foregoing describes specific embodiments of the present application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
According to the battery thermal management control method of one or more embodiments of the application, the thermal management control strategy which is suitable for the charging requirement of the user is determined by predicting the charging intention of the user, and the power battery is effectively thermally managed before charging, so that the temperature of the power battery can be adjusted to the most suitable charging temperature in advance when the user charges, the charging time of the power battery is prolonged, and the charging experience of the user is further improved.
The battery thermal management control method of one or more embodiments of the present application can combine the requirements of users and the driving planning information to formulate a power battery thermal management strategy, so as to realize effective thermal management of the power battery before charging.
Fig. 2 discloses specific steps of a battery thermal management control method according to an embodiment of the present application. As shown in fig. 2, the charging demand of the user is predicted during the whole vehicle running. When the user is predicted to have no charging demand, the vehicle system requests no request. When the user is predicted to have a charging request, the vehicle system requests to be 'the user has a charging requirement'. Then, the BMS (Battery MANAGEMENT SYSTEM, power Battery management System) calculates the current drop temperature value of the Power Battery. BTMS (Battery THERMAL MANAGEMENT SYSTEM, power cell thermal management system) performs thermal management cooling analysis. When AC (Air Conditioning) is not currently on, then AC turns on the compressor and turns on the water pump. When the AC is currently on, then the AC adjusts the output power of the compressor. Then, whether the highest temperature Tmax obtained by sampling the power battery is smaller than or equal to the optimal charging temperature T1 is continuously judged. And when the highest temperature obtained by sampling the power battery is less than or equal to the optimal charging temperature, the BMS thermal management request is no request, the AC is used for closing the compressor and the water pump, and the battery thermal management is finished.
The application also provides a battery thermal management control system. Fig. 3 discloses a schematic block diagram of a battery thermal management control system 300 according to one embodiment of the application. As shown in fig. 3, the battery thermal management control system 300 according to one embodiment of the present application includes a processor 301, an internal bus 302, a network interface 303, a memory 304, and a nonvolatile storage 305, and may include hardware required for other services. The processor 301 reads the corresponding computer program from the nonvolatile memory 305 into the memory 304 and then runs to implement the battery thermal management control method as described above. Of course, other implementations, such as logic devices or combinations of hardware and software, are not excluded from the present application, that is, the execution subject of the following processing flows is not limited to each logic unit, but may be hardware or logic.
The battery thermal management control system 300 of the present application has similar advantages as the above-mentioned battery thermal management control method, and therefore, will not be described herein.
The application further provides a vehicle. The vehicle includes a battery thermal management control system 300 as described above.
The battery thermal management control method, the control system and the vehicle provided by the embodiment of the application are described in detail. Specific examples are used herein to describe the battery thermal management control method, the control system and the vehicle according to the embodiments of the present application, and the description of the above embodiments is only for helping to understand the core idea of the present application, and is not intended to limit the present application. It should be noted that it will be apparent to those skilled in the art that various changes and modifications can be made herein without departing from the spirit and principles of the application, which should also fall within the scope of the appended claims.

Claims (10)

1. A battery thermal management control method, comprising:
In the running process of the vehicle, predicting the charging requirement of a user;
When a user has a charging requirement, acquiring the current temperature of the power battery;
Predicting a cooling value of the power battery based on a current temperature and an optimal charging temperature of the power battery; and
And performing thermal management control on the power battery based on the cooling value of the power battery so as to adjust the current temperature of the power battery to the optimal charging temperature.
2. The method of claim 1, wherein predicting the charging demand of the user comprises:
acquiring the current residual electric quantity of the power battery;
acquiring running planning information of a vehicle; and
The charging demand of the user is predicted based on at least one of the current remaining amount of the power battery and the travel planning information.
3. The method of claim 2, wherein the obtaining travel plan information for the vehicle comprises:
Acquiring a driving destination of a vehicle;
Determining an estimated range of the vehicle based on the destination of the vehicle;
wherein predicting the charging demand of the user based on at least one of the current remaining power of the power battery and the travel planning information includes:
Predicting a range of the vehicle based on a current remaining power of the power battery; and
Predicting whether the user has a charging demand based on the range of the vehicle and the projected range.
4. A method according to claim 3, wherein when the travel destination is the location of a charging station, then the user is predicted to have a charging demand.
5. The method of claim 2, wherein predicting the charging demand of the user further comprises:
the charging habit of the user is obtained through the big data,
Wherein the charging demand of the user is predicted based on at least one of the remaining power of the power battery, the travel planning information, and the charging habit of the user.
6. The method of any one of claims 2 to 5, further comprising:
obtaining a temperature rise value of the power battery reaching the driving destination,
Wherein predicting the cooling value of the power battery based on the current temperature and the optimal charging temperature of the power battery comprises:
And predicting the cooling value of the power battery based on the current temperature of the power battery, the optimal charging temperature and the temperature rise value reaching the driving destination.
7. The method of claim 6, wherein the obtaining a temperature rise value of the power battery to the travel destination comprises:
obtaining a mapping relation between the driving mileage of the vehicle and the temperature rise value of the power battery based on the ambient temperature and the driving history information record of the vehicle; and
And obtaining the temperature rise value of the power battery reaching the driving destination according to the current environment temperature and the expected driving mileage and through the mapping relation.
8. The method of claim 1, wherein the thermally managing the power cell based on the cooling value of the power cell comprises:
When the thermal management system is started currently, adjusting the output power of the thermal management system based on the cooling value; and
When the thermal management system is not started currently, the thermal management system is started in advance and the output power of the thermal management system is adjusted based on the cooling value.
9. A battery thermal management control system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the battery thermal management control method of any one of claims 1 to 8 when executing the program.
10. A vehicle comprising the battery thermal management control system according to claim 9.
CN202410443130.6A 2024-04-12 2024-04-12 Battery thermal management control method, control system and vehicle Pending CN118144637A (en)

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