Battery thermal management method, device, system, vehicle and equipment

Abstract

The present application relates to a method, device, system, vehicle and equipment for thermal management of a battery, and relates to the field of battery technology. The method comprises: obtaining charging data of the target battery when determining that the target battery is in a charging state; the charging data comprises charging parameters and the battery state of the target battery when charging starts; determining an initial thermal management strategy that matches the charging data; the charging data and the initial thermal management strategy satisfy a target mapping relationship; the target mapping relationship comprises: multiple initial thermal management strategies corresponding to multiple charging data one by one; based on an optimization target, optimizing the initial thermal management strategy to obtain a target thermal management strategy; the optimization target comprises minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy; and controlling the vehicle to execute the target thermal management strategy. Thus, the present application can effectively perform thermal management on the power battery of the vehicle.

Description

Technical Field

[0001] The present application relates to the field of battery technology, in particular to the field of battery thermal management technology, and specifically to a battery thermal management method, device, system, vehicle and equipment. Background Art

[0002] With the increasing attention paid to environmental protection and sustainable development around the world, the new energy vehicle industry has developed rapidly. As the core component of new energy vehicles, the performance and safety of power batteries are directly related to the operating efficiency of the entire vehicle and the safety of passengers. However, during the charging and operation of the power battery, the temperature of the battery pack will rise due to the internal chemical reaction of the battery and the resistance heat generated when the current passes through. If this heat cannot be effectively managed, the battery will operate in an unsuitable temperature range for a long time, which will not only seriously affect the cycle life of the battery, reduce the energy density and power output of the battery, but may also cause serious thermal safety problems, such as battery thermal runaway, fire and even explosion.

[0003] In a related technology, it is proposed to calculate the optimal temperature range of the power battery in each state of charge (SOC) according to the charging rate table of the power battery and the capacity of the charging pile, so as to determine the cooling range and heating range within the range from the current SOC to the target SOC based on the obtained optimal temperature range, the initial charging SOC of the battery and the temperature, and finally perform thermal management control according to the obtained results during the actual charging process.

[0004] Another related technology proposes to determine the charging capacity of the power battery based on a battery model and state parameters including the temperature and voltage of the power battery. When the charging output capacity of the charging device is greater than the charging capacity of the power battery, the thermal management system remains in the on state; or, when the charging output capacity of the charging device is less than or equal to the charging capacity of the power battery, the thermal management system remains in the off state.

[0005] Therefore, it is necessary to explore effective ways to thermally manage the vehicle's power battery. Summary of the invention

[0006] The present application provides a battery thermal management method, device, system, vehicle and equipment to at least solve the technical problem of difficulty in thermal management of vehicle power batteries in the related art. The technical solution of the present application is as follows:

[0007] According to the first aspect provided by the present application, a battery thermal management method is provided, which is applied to a vehicle, including: when it is determined that the target battery is in a charging state, obtaining charging data of the target battery; the charging data includes charging parameters and the battery state of the target battery when charging starts; determining an initial thermal management strategy that matches the charging data; a target mapping relationship is satisfied between the charging data and the initial thermal management strategy; the target mapping relationship includes: multiple initial thermal management strategies corresponding one-to-one to multiple charging data; based on an optimization target, optimizing the initial thermal management strategy to obtain a target thermal management strategy; the optimization target includes minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy; and controlling the vehicle to execute the target thermal management strategy.

[0008] According to the above-mentioned technical means, the present application can obtain the charging parameters and initial state of the battery, determine the initial thermal management strategy from the target mapping relationship, and optimize the initial thermal management strategy with the goal of minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy, so as to obtain a target thermal management strategy that meets the current charging scenario. In this way, while controlling the vehicle to execute the target thermal management strategy, safety hazards caused by excessive battery temperature can be avoided, the safety of the battery can be improved, the charging efficiency of the target battery can be improved, and the power consumption required for thermal management can be reduced.

[0009] In one possible implementation, a constraint relationship is satisfied between the predicted charging time, the predicted thermal management power consumption, and the thermal management strategy; the constraint relationship is used to reflect the impact of the thermal management strategy on the charging time and the thermal management power consumption.

[0010] In one possible implementation, the constraint relationship satisfies the following formula:

[0011]

[0012] in, Used to characterize the predicted charging time; Used to characterize and predict thermal management power consumption; Used to characterize heating control strategies in thermal management strategies; Used to characterize cooling control strategies in thermal management strategies; Used to characterize the current limit factor in thermal management strategies.

[0013] Based on the above technical means, the present application can more accurately predict the impact of different thermal management strategies on charging time and thermal management power consumption through clear constraint relationships, which helps to more accurately evaluate the effects of various strategies during the optimization process and thus select the optimal strategy.

[0014] In one possible implementation, in the process of controlling the vehicle to execute the target thermal management strategy, the charging status information and thermal management power consumption corresponding to each moment in the second time series are calculated according to the charging status information and thermal management power consumption corresponding to each moment in the first time series, the thermal management strategy corresponding to each moment in the first time series, and the disturbance data corresponding to each moment in the first time series; the charging status information includes: predicted battery temperature, current limiting coefficient; the disturbance data is used to characterize the difference between the preset charging parameters and the measured charging parameters corresponding to each moment in the first time series; with the goal of minimizing the cost function, based on the charging status information and thermal management power consumption corresponding to each moment in the second time series, the thermal management strategy corresponding to each moment in the second time series is calculated; and the vehicle is controlled to execute the thermal management strategy corresponding to each moment in the second time series.

[0015] According to the above-mentioned technical means, the present application can more accurately predict the charging status information and thermal management power consumption in the future (i.e., the second time series) by utilizing historical data (i.e., the data of the first time series) and disturbance data (i.e., the difference between the preset charging parameters and the measured charging parameters), so that the optimized thermal management strategy can better adapt to the changes in the actual charging process.

[0016] In one possible implementation, the cost function is used to characterize the difference between the charging status information and thermal management power consumption corresponding to each moment in the second time series and the first expected value, and the difference between the thermal management strategy corresponding to each moment in the second time series and the second expected value; the first expected value and the second expected value are related to the target thermal management strategy; the first expected value includes the expected value of the charging status information and the expected value of the thermal management power consumption; the second expected value is the expected value of the thermal management strategy.

[0017] According to the above technical means, the present application can provide a clear goal for the optimization process through the cost function, namely minimizing the difference, ensuring that the optimized thermal management strategy can be as close as possible to the charging state, power consumption and strategy expected by the target thermal management strategy.

[0018] In one possible implementation, according to the above technical means, the actual thermal management strategy implemented by the vehicle is recorded; the actual thermal management strategy is the thermal management strategy actually implemented by the vehicle during the charging process of the target battery; the actual thermal management strategy is stored in the target mapping relationship.

[0019] According to the above-mentioned technical means, the present application can continuously update and improve the target mapping relationship by recording and storing the thermal management strategy actually implemented, so that the mapping relationship can more accurately reflect the actual application effect of the thermal management strategy under different charging scenarios, and as the data accumulates, the mapping relationship can gradually adapt to more types of charging data and battery status, thereby improving its applicability in different situations.

[0020] According to the second aspect provided by the present application, a battery thermal management device is provided, including: an acquisition unit, a determination unit, and a control unit; the acquisition unit is used to acquire charging data of a target battery when it is determined that the target battery is in a charging state; the charging data includes charging parameters and the battery state of the target battery when charging starts; the determination unit is used to determine an initial thermal management strategy that matches the charging data; the charging data and the initial thermal management strategy satisfy a target mapping relationship; the target mapping relationship includes: multiple initial thermal management strategies corresponding to multiple charging data one by one; the determination unit is also used to optimize the initial thermal management strategy based on an optimization target to obtain a target thermal management strategy; the optimization target includes minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy; the control unit is also used to control the vehicle to execute the target thermal management strategy.

[0021] In one possible implementation, the determination unit is also used to calculate the charging status information and thermal management power consumption corresponding to each moment in the second time series according to the charging status information and thermal management power consumption corresponding to each moment in the first time series, the thermal management strategy corresponding to each moment in the first time series, and the disturbance data corresponding to each moment in the first time series during the process of controlling the vehicle to execute the target thermal management strategy; the charging status information includes: predicted battery temperature, current limiting coefficient; the disturbance data is used to characterize the difference between the preset charging parameters and the measured charging parameters corresponding to each moment in the first time series; the determination unit is also used to calculate the thermal management strategy corresponding to each moment in the second time series based on the charging status information and thermal management power consumption corresponding to each moment in the second time series with the goal of minimizing the cost function; the control unit is also used to control the vehicle to execute the thermal management strategy corresponding to each moment in the second time series.

[0022] In one possible implementation, the device also includes: a recording unit and a storage unit; the recording unit is used to record the actual thermal management strategy implemented by the vehicle; the actual thermal management strategy is the thermal management strategy actually implemented by the vehicle during the target battery charging process; the storage unit is used to store the actual thermal management strategy to the target mapping relationship.

[0023] According to a third aspect provided by the present application, a battery thermal management system is provided, the system comprising: a target battery and a thermal management device of the battery in the second aspect; the thermal management device of the battery, used to obtain charging data of the target battery when it is determined that the target battery is in a charging state; the charging data comprises charging parameters and a battery state of the target battery when charging starts; the thermal management device of the battery, further used to determine an initial thermal management strategy that matches the charging data; a target mapping relationship is satisfied between the charging data and the initial thermal management strategy; the target mapping relationship comprises: a plurality of initial thermal management strategies corresponding one-to-one to a plurality of charging data; the thermal management device of the battery, further used to optimize the initial thermal management strategy based on an optimization target to obtain a target thermal management strategy; the optimization target comprises minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy; the thermal management device of the battery, further used to control the vehicle to execute the target thermal management strategy.

[0024] According to a fourth aspect provided by the present application, a vehicle is provided, comprising the thermal management system of the battery in the third aspect.

[0025] According to the fifth aspect provided by the present application, an electronic device is provided, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to execute instructions to implement the method of the above-mentioned first aspect and any possible implementation manner thereof.

[0026] According to the sixth aspect provided by the present application, a computer-readable storage medium is provided. When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method in the above-mentioned first aspect and any possible implementation method thereof.

[0027] According to the seventh aspect provided by the present application, a computer program product is provided, the computer program product comprising computer instructions, and when the computer instructions are executed on an electronic device, the electronic device executes the method of the above-mentioned first aspect and any possible implementation manner thereof.

[0028] It should be noted that the technical effects brought about by any implementation method in the second to seventh aspects can refer to the technical effects brought about by the corresponding implementation method in the first aspect, and will not be repeated here.

[0029] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application, and do not constitute an improper limitation on the present application.

[0031] Figure 1 is a schematic diagram of a hardware structure of a vehicle according to an exemplary embodiment;

[0032] Figure 2 is a flow chart showing a thermal management method of a battery according to an exemplary embodiment;

[0033] Figure 3 is a schematic diagram showing a comparison of charging currents before and after optimization according to an exemplary embodiment;

[0034] Figure 4 is a schematic diagram showing a comparison of SOC before and after optimization according to an exemplary embodiment;

[0035] Figure 5 is a schematic diagram showing a comparison of maximum temperatures before and after optimization according to an exemplary embodiment;

[0036] Figure 6 is a schematic diagram showing a comparison of the lowest temperatures before and after optimization according to an exemplary embodiment;

[0037] Figure 7 is a schematic diagram showing an online optimization process according to an exemplary embodiment;

[0038] Figure 8 is a schematic diagram showing a thermal management process of a battery according to an exemplary embodiment;

[0039] Fig. 9 is a block diagram of a thermal management device for a battery according to an exemplary embodiment;

[0040] Fig.10 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0041] In order to enable ordinary persons in the art to better understand the technical solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0042] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims.

[0043] First, the relevant technologies involved in this application are explained to facilitate understanding by those skilled in the art.

[0044] As the world pays more and more attention to environmental protection and sustainable development, the new energy vehicle industry has ushered in an unprecedented period of rapid development. As the power source of new energy vehicles, the performance and safety of power batteries have become key factors restricting the performance and market promotion of the entire vehicle. Power batteries are not only responsible for storing and providing the energy required for vehicle operation, but are also directly related to the operating efficiency, cruising range and life safety of passengers of the entire vehicle.

[0045] During the charging and daily operation of the power battery, the temperature of the battery pack will rise due to the complex chemical reactions inside the battery and the resistance heat that is inevitably generated when the current passes through. If effective measures are not taken to effectively manage and control this heat, the battery will work in an unsuitable high temperature range for a long time, which will not only accelerate the aging and degradation of the internal materials of the battery, seriously affect the cycle life of the battery, reduce the energy density and power output of the battery, and thus limit the vehicle's endurance and power performance. It is more likely to cause a series of serious thermal safety problems, such as battery thermal runaway, fire and even explosion, posing a huge threat to the safety of passengers' lives and property.

[0046] Therefore, thermal management of power batteries has become an important part of the research and development of new energy vehicle technology. Researchers and enterprises need to continue to explore and innovate, and develop more efficient and intelligent thermal management systems and technologies to ensure that power batteries always remain within a suitable temperature range during charging and operation, to ensure battery performance, safety and service life, and to provide strong support for the healthy and sustainable development of the new energy vehicle industry.

[0047] In a related technology, it is proposed to calculate the optimal temperature range of the power battery under each SOC state according to the charging rate table of the power battery and the capacity of the charging pile, so as to determine the cooling range and heating range within the range from the current SOC to the target SOC based on the obtained optimal temperature range, the initial charging SOC of the battery and the temperature, and finally perform thermal management control according to the obtained results during the actual charging process.

[0048] Another related technology proposes to determine the charging capacity of the power battery based on a battery model and state parameters including the temperature and voltage of the power battery. When the charging output capacity of the charging device is greater than the charging capacity of the power battery, the thermal management system remains in the on state; or, when the charging output capacity of the charging device is less than or equal to the charging capacity of the power battery, the thermal management system remains in the off state.

[0049] Therefore, it is necessary to explore effective ways to thermally manage the vehicle's power battery.

[0050] As mentioned in the background technology, in order to solve the technical problem that it is difficult to perform thermal management on the power battery of a vehicle in the related technology, the present application provides a thermal management method for a battery, which can obtain the charging parameters and initial state of the battery, determine the initial thermal management strategy from the target mapping relationship, and optimize the initial thermal management strategy with the goal of minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy, so as to obtain a target thermal management strategy that meets the current charging scenario. In this way, when controlling the vehicle to execute the target thermal management strategy, the safety hazards caused by excessive temperature of the battery can be avoided, the safety of the battery can be improved, and the charging efficiency of the target battery can be improved, and the power consumption required for thermal management can be reduced.

[0051] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0052] The thermal management method of the battery provided in the embodiment of the present application can be applied in a vehicle. A vehicle can also be referred to as a vehicle, a mobile carrier, an electric vehicle (EV), a hybrid electric vehicle (HEV), a plug-in hybrid electric vehicle (PHEV), a fuel cell vehicle (FCV), an autonomous vehicle, an intelligent and connected vehicle (ICV), a driverless vehicle, etc.

[0053] In the embodiments of the present application, the vehicle may be a sedan, a sport utility vehicle (SUV), a truck, an electric vehicle, a motorcycle, a tricycle, a special vehicle (such as an ambulance, a fire truck, a police car, etc.), an unmanned taxi, an intelligent networked bus, an automatic driving logistics vehicle, an electric truck, etc. In addition, the method is also applicable to various special vehicles, such as agricultural vehicles, mining vehicles, forestry vehicles, airport vehicles, port vehicles, etc. The present application does not impose specific restrictions on this.

[0054] Figure 1 is a schematic diagram of a hardware structure of a vehicle 10 according to an exemplary embodiment.

[0055] In a possible implementation, the vehicle 10 may include a battery thermal management system 100. The battery thermal management system 100 may include a target battery 101, a battery thermal management device 102, and a data acquisition device 103 deployed on the target battery.

[0056] Optionally, Figure 1 A connection may be established between the target battery 101 and the thermal management device 102 of the battery. A communication connection may be established between the thermal management device 102 of the battery and the data acquisition device 103. A connection may be established between the data acquisition device 103 and the thermal management device 102 of the battery.

[0057] In practical applications, the thermal management device 102 of the battery may be communicatively connected to one or more data acquisition devices 103 .

[0058] For ease of understanding, the present application takes the communication connection between a battery thermal management device 102 and a data acquisition device 103 as an example for explanation.

[0059] Optional, Figure 1 The thermal management device 102 and the data acquisition device 103 of the battery may be functional modules integrated into the same device, or may be devices independently arranged from each other. This application does not impose any limitation on this.

[0060] It is easy to understand that when the thermal management device 102 and the data acquisition device 103 of the battery are functional modules integrated in the same device, the communication method between the thermal management device 102 and the data acquisition device 103 of the battery is the communication between the modules inside the device. In this case, the communication process between the two is the same as the "communication process when the thermal management device 102 and the data acquisition device 103 of the battery are independently set".

[0061] For ease of understanding, the present application is mainly described by taking the battery thermal management device 102 and the data acquisition device 103 as an example in which they are independently configured.

[0062] Optionally, the data acquisition device 103 may be connected to multiple sensors. The data acquisition device 103 may acquire the charging data of the target battery 101 through different sensors. For example, the voltage of the target battery 101 may be acquired through a voltage sensor.

[0063] Figure 1The data acquisition device 103 in the embodiment can collect charging data of the target battery 101 when it is determined that the target battery 101 is in a charging state. The thermal management device 102 of the battery can obtain the charging data collected by the data acquisition device 103, determine an initial thermal management strategy matching the charging data based on the charging data, and then optimize the initial thermal management strategy based on the optimization target to obtain a target thermal management strategy, so as to further control the vehicle to execute the target thermal management strategy.

[0064] Optionally, Figure 1 The thermal management device 102 of the battery may be a terminal, a server, or other types of electronic devices. Figure 1 What is shown in the figure is only an example of the device form of the battery thermal management device 102, and does not constitute a limitation thereto.

[0065] In the case where the thermal management device 102 of the battery is a terminal, the terminal may be a device for providing voice and / or data connectivity to a user, a handheld device with a wireless connection function, or other processing devices connected to a wireless modem. The terminal may communicate with one or more core networks via a radio access network (RAN). The terminal may be a mobile terminal, such as a computer with a mobile terminal, or a mobile device built into the vehicle 10, which exchanges language and / or data with a radio access network, such as a mobile phone, a tablet computer, a laptop computer, a netbook, a personal digital assistant (PDA). This application does not impose any restrictions on this.

[0066] When the thermal management device 102 of the battery is a server, the server may be a single server, or a server cluster composed of multiple servers. In some implementations, the server cluster may also be a distributed cluster. This application does not impose any restrictions on this.

[0067] It should be noted that the structure illustrated in the embodiment of the present application does not constitute a limitation on the vehicle 10. It may include more or fewer components than shown in the figure, or combine some components, or split some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0068] For ease of understanding, the thermal management method of the battery provided in the present application is specifically introduced below with reference to the accompanying drawings.

[0069] Figure 2 is a flow chart of a battery thermal management method according to an exemplary embodiment. Figure 2 As shown, the thermal management method of the battery includes the following steps:

[0070] S201. When it is determined that a target battery is in a charging state, obtain charging data of the target battery.

[0071] The charging data may include charging parameters and a battery state of the target battery when charging starts.

[0072] Exemplarily, the charging data may include charging current, charging voltage, charging power, charging efficiency, etc. The battery state of the target battery at the start of charging may include the SOC value and battery temperature of the target battery at the start of charging, and may also include battery internal resistance and battery voltage.

[0073] In one possible implementation, when a vehicle is connected to a charging pile and the charging procedure is started, the thermal management device of the battery can confirm whether the target battery is in a charging state through a built-in sensor or communication module. When the thermal management device of the battery determines that the target battery is in a charging state, it can collect and store charging data. In addition, when charging starts, the thermal management device of the battery can record the battery state of the target battery at the start of charging, etc.

[0074] In another possible implementation, for shared electric vehicles, the battery thermal management device can monitor and collect data on the charging status of multiple vehicles in real time. When the battery thermal management device receives a charging start signal from a vehicle, it can verify whether the target battery is in a charging state, and obtain charging data from the vehicle through wireless communication technology when the target battery is in a charging state, as well as the battery status of the target battery when charging starts.

[0075] S202: Determine an initial thermal management strategy that matches the charging data.

[0076] The charging data may satisfy a target mapping relationship with the initial thermal management strategy. The target mapping relationship may include: multiple initial thermal management strategies corresponding to multiple charging data one by one;

[0077] It should be noted that the initial thermal management strategy includes a heating control strategy, a cooling control strategy and a current limiting coefficient vector.

[0078] The heating control strategy may include a heating on temperature, a heating off temperature and a heating water temperature. The heating on temperature may be used to characterize the temperature at which the heating function of the target battery is turned on. The heating off temperature may be used to characterize the temperature at which the heating function of the target battery is turned off. The heating water temperature may be used to characterize the target temperature of the heated liquid during the heating process.

[0079] For example, the heating on temperature may be -5 degrees or -10 degrees. The heating off temperature may be 5 degrees or 10 degrees. The heating water temperature may be 50 degrees or 70 degrees. This application does not impose any specific restrictions on this.

[0080] The cooling control strategy may include a cooling on temperature, a cooling off temperature, and a cooling water temperature. The cooling on temperature may be used to characterize the temperature at which the cooling function of the target battery is turned on. The cooling off temperature may be used to characterize the temperature at which the cooling function of the target battery is turned off. The cooling water temperature may be used to characterize the target temperature of the cooling liquid during the cooling process.

[0081] For example, the heating on temperature may be -5 degrees or -10 degrees. The heating off temperature may be 5 degrees or 10 degrees. The heating water temperature may be 50 degrees or 70 degrees. This application does not impose any specific restrictions on this.

[0082] The current limit coefficient vector may include charging current limit coefficients corresponding to a plurality of SOC intervals.

[0083] Exemplarily, the multiple SOC intervals may be (0, 5], (5, 10], (10, 15], (15, 20], (20, 25], ..., (95, 100], for a total of 20 intervals, and the charging current corresponding to each interval may be different. Then the current limiting coefficient vector is a 20-dimensional vector. The multiple SOC intervals may be (0, 10], (10, 20], ..., (90, 100], for a total of 10 intervals, and the charging current corresponding to each interval may be different. The present application does not make any specific restrictions on this.

[0084] S203: Based on the optimization target, the initial thermal management strategy is optimized to obtain a target thermal management strategy.

[0085] Among them, the optimization objectives include minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy.

[0086] In one possible implementation, in order to reduce the charging time of the target battery and the thermal management power consumption, the thermal management device of the battery can optimize the initial thermal management strategy with the goal of minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy.

[0087] It should be noted that the predicted charging time, the predicted thermal management power consumption and the thermal management strategy can satisfy a constraint relationship, wherein the constraint relationship is used to reflect the impact of the thermal management strategy on the charging time and the thermal management power consumption.

[0088] Specifically, the thermal management device of the battery can be configured with a first formula, a second formula, a third formula and a fourth formula, and the first formula can be used to calculate the predicted charging time corresponding to the thermal management strategy. The first formula:

[0089]

[0090] The second formula can be used to calculate the predicted thermal management power consumption corresponding to the thermal management strategy. The second formula:

[0091]

[0092] The third formula can be used to calculate the weighted sum of the predicted charging time and the predicted thermal management power consumption. The third formula:

[0093]

[0094] The fourth formula can be used to determine Minimum value of:

[0095]

[0096] in, It can be used to represent the heating control strategy in the thermal management strategy. It can be used to characterize the cooling control strategy in the thermal management strategy. α can be used to characterize the current limit coefficient vector. soc can be used to characterize the SOC when the target battery starts charging. β can be used to characterize the weight bias coefficient. x can be used to characterize the independent variable to be optimized, that is, the thermal management strategy. It can be used to characterize the predicted charging time. Can be used to characterize and predict thermal management power consumption. It can be used to represent the weighted sum of the predicted charging time and the predicted thermal management power consumption.

[0097] Understandably, Can be used to characterize Corresponding heating control strategy. Can be used to characterize Corresponding cooling control strategy. Can be used to characterize The corresponding current limiting coefficient vector.

[0098] In one possible implementation, the thermal management device of the battery can be based on Corresponding heating control strategy , Corresponding cooling control strategy , when the target battery starts charging The corresponding current limiting coefficient vector and the first formula, predicting the target battery from The charging time to the target SOC is the predicted charging time.

[0099] In another possible implementation, the thermal management device of the battery can be based on Corresponding heating control strategy , Corresponding cooling control strategy , when the target battery starts charging The corresponding current limiting coefficient vector And the second formula predicts the target battery from The thermal management energy consumption required to charge to the target SOC is the predicted thermal management power consumption.

[0100] Optionally, the target SOC can be used to represent a preset charging termination threshold, that is, charging of the target battery stops immediately after the target SOC is charged. For example, the target SOC can be 100% or 80%. This application does not impose specific restrictions on this.

[0101] In one possible implementation, the thermal management device of the battery can iteratively optimize the initial thermal management strategy based on the gradient descent method to obtain a target thermal management strategy.

[0102] Specifically, based on the gradient descent method, iterative optimization of the initial thermal management strategy may include the following steps:

[0103] (1) Initial thermal management strategy Select the corresponding offset , find the gradient of the objective function with respect to the independent variable .

[0104] (2) The change value of the objective function can satisfy the following fifth formula:

[0105]

[0106] in, It can be used to represent the weighted sum of the predicted charging time and the predicted thermal management power consumption. It can be used to characterize the change value of the objective function. It can be used to characterize the gradient of the independent variable. k can be used to characterize the current moment. Can be used to represent the learning rate.

[0107] (3) Update the independent variable:

[0108]

[0109] (4) Determine whether the gradient and objective function change values ​​meet the convergence condition, that is, whether the gradient and objective function change values ​​are less than the preset threshold. If the preset threshold is met, jump to (5); if not, jump to (1).

[0110] (5) End the iteration and output x, which is the target thermal management strategy.

[0111] In one possible implementation, the thermal management device of the battery can determine, based on the target thermal management strategy, the sequence of changes in the maximum and minimum cell temperatures of the target battery over time, the sequence of changes in the current over time, and the sequence of changes in the thermal management power consumption over time during the charging process.

[0112] Among them, the maximum temperature of the target battery cell during charging satisfies the following seventh formula:

[0113]

[0114] The lowest cell temperature of the target battery during charging satisfies the following eighth formula:

[0115]

[0116] The sequence of the current variation with time of the target battery during the charging process satisfies the following ninth formula:

[0117]

[0118] The sequence of the thermal management power consumption of the target battery changing with time during the charging process satisfies the following tenth formula:

[0119]

[0120] Among them, A i , B i , C i It can be used to characterize the parameters to be identified. max It can be used to characterize the maximum temperature of the battery cells in the target battery. min It can be used to characterize the lowest temperature of the battery cell in the target battery. wtr It can be used to characterize the controlled water temperature in the thermal management strategy. soc can be used to characterize the SOC when the target battery starts charging. Tms It can be used to characterize the actual power consumption of the thermal management strategy. r can be used to characterize the internal resistance of the battery cell, which is expressed as a mapping function of the battery cell soc and temperature. It can be used to represent the charging time. i can be used to represent the current. k can be used to represent the current moment.

[0121] In a possible implementation, the parameters to be identified can be determined based on actual charging data, and a mapping function related to the battery temperature is obtained. All parameters to be identified are obtained by searching a table with the starting temperature as an index.

[0122] Based on this, the thermal management device of the battery can determine the sequence of the maximum and minimum temperatures of the target battery cells changing over time, the sequence of the current changing over time, and the sequence of the thermal management power consumption changing over time during the charging process.

[0123] For example, Figure 3 As shown, Figure 3 The figure is a schematic diagram showing comparison of charging currents before and after optimization according to an exemplary embodiment. Figure 3 The solid line in the middle is the charging current corresponding to the initial thermal management strategy, that is, the charging current before optimization. The dotted line is the charging current corresponding to the target thermal management strategy, that is, the charging current after optimization.

[0124] like Figure 4 As shown, Figure 4 is a schematic diagram showing a comparison of SOC before and after optimization according to an exemplary embodiment. Figure 4 The solid line in the middle is the state of charge (SOC) corresponding to the initial thermal management strategy, that is, the SOC before optimization. The dotted line is the SOC corresponding to the target thermal management strategy, that is, the SOC after optimization.

[0125] like Figure 5 As shown, Figure 5 is a schematic diagram showing a comparison of maximum temperatures before and after optimization according to an exemplary embodiment. Figure 5 The solid line in the middle is the maximum temperature of the battery cell corresponding to the initial thermal management strategy, that is, the maximum temperature of the battery cell before optimization. The dotted line is the maximum temperature of the battery cell corresponding to the target thermal management strategy, that is, the maximum temperature of the battery cell after optimization.

[0126] like Figure 6 As shown, Figure 6 The figure is a schematic diagram showing a comparison of the minimum temperatures before and after optimization according to an exemplary embodiment. Figure 6 The solid line in the middle is the lowest temperature of the battery cell corresponding to the initial thermal management strategy, that is, the lowest temperature of the battery cell before optimization. The dotted line is the lowest temperature of the battery cell corresponding to the target thermal management strategy, that is, the lowest temperature of the battery cell after optimization.

[0127] S204: Control the vehicle to execute a target thermal management strategy.

[0128] In one possible implementation, chemical reactions occur inside the battery during the charging process, generating heat. If this heat is not effectively managed, the battery temperature may be too high or too low, affecting its performance and efficiency. The battery thermal management device can perform thermal management on the target battery through a target thermal management strategy, ensuring that the target battery is always maintained within the optimal operating temperature range during the charging process, thereby improving the battery's charging efficiency and performance.

[0129] Based on the above technical solution, the present application can determine the initial thermal management strategy from the target mapping relationship by obtaining the charging parameters and initial state of the battery, and optimize the initial thermal management strategy with the goal of minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy, so as to obtain a target thermal management strategy that meets the current charging scenario. In this way, while controlling the vehicle to execute the target thermal management strategy, safety hazards caused by excessive battery temperature can be avoided, the safety of the battery can be improved, the charging efficiency of the target battery can be improved, and the power consumption required for thermal management can be reduced.

[0130] In one example, in the process of controlling a vehicle to execute a target thermal management strategy, a thermal management device of a battery may optimize the target thermal management strategy in real time, including the following steps: S301 - S303 .

[0131] S301. In the process of controlling the vehicle to execute the target thermal management strategy, the charging status information and thermal management power consumption corresponding to each moment in the second time series are calculated based on the charging status information and thermal management power consumption corresponding to each moment in the first time series, the thermal management strategy corresponding to each moment in the first time series, and the disturbance data corresponding to each moment in the first time series.

[0132] The charging state information may include: predicted battery temperature, current limiting coefficient. The disturbance data may be used to characterize the difference between the preset charging parameters and the measured charging parameters corresponding to each moment in the first time series.

[0133] In one possible implementation, in the process of controlling the vehicle to execute the target thermal management strategy, the thermal management device of the battery can collect the measured charging parameters in real time and determine the disturbance data corresponding to the current moment and the moment before the current moment in the first time series.

[0134] The measured charging data may be used to characterize charging data measured in real time during the charging process of the target battery, and may include charging parameters of the target battery and a battery state of the target battery during charging.

[0135] In a possible implementation, the specific implementation method of the battery thermal management device acquiring the measured charging data of the target battery in real time can refer to the method of acquiring the charging data of the target battery in S201, which will not be described in detail here.

[0136] In one possible implementation, the thermal management strategy of the battery can determine the state variable matrix corresponding to the target thermal management strategy based on the sequence of the maximum temperature and the minimum temperature of the battery cell changing with time, the sequence of the current changing with time, and the sequence of the thermal management power consumption changing with time. The state variable matrix satisfies the following eleventh formula:

[0137]

[0138] in, It can be used to characterize the maximum temperature of the cells in the target battery. It can be used to characterize the minimum temperature of the battery cells in the target battery. It can be used to characterize the actual power consumption of the thermal management strategy. i can be used to characterize the charging current of the target battery during the charging process.

[0139] In one possible implementation, the thermal management strategy of the battery can establish a model predictive control (MPC) state space expression, and calculate the charging state information and thermal management power consumption corresponding to each moment in the second time series through the MPC state space expression. The twelfth formula:

[0140]

[0141] u can satisfy the following thirteenth formula:

[0142]

[0143] The following fourteenth formula can be satisfied:

[0144]

[0145] in, It can be used to characterize the charging state information and thermal management power consumption corresponding to each moment in the second time series. It can be used to characterize the charging state information and thermal management power consumption corresponding to each moment in the first time series. It can be used to characterize the charging state information corresponding to each moment in the first time series. It can be used to characterize the thermal management power consumption corresponding to each moment in the first time series. It can be used to characterize the thermal management strategy corresponding to each moment in the first time series, that is, the control variable matrix. It can be used to characterize the disturbance data corresponding to each moment in the first time series. It can be used to characterize the charging status information and thermal management power consumption corresponding to each moment in the second time series. v can be used to characterize the coefficient matrix. a can be used to characterize the weight of the charging state information in the first time series. b can be used to characterize the weight of the thermal management power consumption in the first time series.

[0146] S302 , with minimizing the cost function as a goal, based on the charging state information and thermal management power consumption corresponding to each moment in the second time series, calculate the thermal management strategy corresponding to each moment in the second time series.

[0147] The cost function may be used to characterize the difference between the charging state information and the thermal management power consumption corresponding to each moment in the second time series and the first expected value, and the difference between the thermal management strategy corresponding to each moment in the second time series and the second expected value. The first expected value and the second expected value are related to the target thermal management strategy. The first expected value may include an expected value for the charging state information and an expected value for the thermal management power consumption. The second expected value may be an expected value for the thermal management strategy.

[0148] Exemplarily, the cost function satisfies the following fifteenth formula:

[0149]

[0150] Among them, R y Can be used to characterize the first expected value. u can be used to characterize the second expected value. Y can be used to characterize the charging state information and thermal management power consumption corresponding to each moment in the second time series. U can be used to characterize the thermal management strategy corresponding to each moment in the second time series. W y and W u Can be used to represent the weight matrix.

[0151] Based on this, the thermal management strategy of the battery can be aimed at minimizing the cost function, and the charging state information and thermal management power consumption, the first expected value and the second expected value corresponding to each moment in the second time series are input into the cost function to obtain the thermal management strategy corresponding to each moment in the second time series. The thermal management strategy corresponding to each moment in the second time series satisfies the following sixteenth formula:

[0152]

[0153] It can be used to characterize the thermal management strategy applied at time k in the second time series. Used to characterize the thermal management strategy applied at time k+1 in the second time series. Used to characterize the thermal management strategy applied at time k+Np in the second time series. Np can be used to characterize the number of moments in the second time series.

[0154] S303: Control the vehicle to execute the thermal management strategy corresponding to each moment in the second time series.

[0155] In one possible implementation, in combination with the sixteenth formula, the thermal management device of the battery can apply u at time k k , and calculate the charging status information and thermal management power consumption corresponding to each moment in the third time series according to the charging status information and thermal management power consumption corresponding to each moment in the second time series, the thermal management strategy corresponding to each moment in the first time series, and the disturbance data corresponding to each moment in the second time series, until the charging process is completed.

[0156] For example, Figure 7 As shown, Figure 7 It is a schematic diagram showing an online optimization process according to an exemplary embodiment. The present application can perform prediction in a rolling prediction manner. After the thermal management strategy is predicted, the first one is applied and then the rolling optimization continues forward.

[0157] Specific, combined Figure 7 , the thermal management device of the battery can predict the charging state information and thermal management power consumption {x[k], x[k+1|k], x[k+2|k], x[k+3|k], x[k+4|k], x[k+5|k]} at multiple times at time K, and predict the thermal management strategies {u[k|k], u[k+1|k], u[k+2|k], u[k+3|k], u[k+4|k]} at multiple times at time K. The thermal management device of the battery can apply u[k|k] at time k.

[0158] After entering time k+1, the thermal management device of the battery can predict the charging state information and thermal management power consumption {x[k+1], x[k+2|k+1], x[k+3|k+1], x[k+4|k+1], x[k+5|k+1], x[k+6|k+1]} at multiple times at time k+1, and predict the thermal management strategies {u[k+1|k+1], u[k+2|k+1], u[k+3|k+1], u[k+4|k+1], u[k+5|k+1]} at multiple times at time K+1. The thermal management device of the battery can apply u[k+1|k+1] at time k+1.

[0159] In one possible implementation, the thermal management device of the battery may record the actual thermal management strategy executed by the vehicle during the target battery charging process, and store the actual thermal management strategy into the target mapping relationship.

[0160] Specifically, the battery's thermal management device can determine the starting state and temperature of this charging process and the maximum current during the process, and compare them with the maximum current in the same interval in the target mapping relationship to determine whether the charging pile capabilities are similar. If the charging pile capabilities are close, the thermal management strategy of this charging process will be stored in the target mapping relationship, otherwise the actual thermal management strategy recorded this time will be discarded.

[0161] Based on this, the present application can more accurately predict the future (i.e., the second time series) charging status information and thermal management power consumption by utilizing historical data (i.e., the data of the first time series) and disturbance data (i.e., the difference between the preset charging parameters and the measured charging parameters), so that the optimized thermal management strategy can better adapt to changes in the actual charging process.

[0162] In some embodiments, Figure 8 As shown, Figure 8 The figure is a schematic diagram showing a thermal management process of a battery according to an exemplary embodiment.

[0163] In one possible implementation, the thermal management device of the battery can establish a thermal-electric coupling model corresponding to the power battery and the thermal management system. The thermal management device of the battery can optimize the initial thermal management strategy based on the thermal-electric coupling and the optimization target to obtain the target thermal management strategy. The thermal management device of the battery can optimize the target thermal management strategy online while controlling the vehicle to execute the target thermal management strategy. The thermal management device of the battery can control the vehicle to perform thermal management according to the online optimization results. The thermal management device of the battery can store the thermal management strategy actually executed by the vehicle.

[0164] Fig. 9 FIG. 1 is a block diagram of a thermal management device for a battery according to an exemplary embodiment. Fig. 9 The thermal management device of the battery includes: an acquisition unit 401, a determination unit 402, a control unit 403, a recording unit 404, and a storage unit 405.

[0165] In a possible implementation, the acquisition unit 401 is configured to acquire charging data of the target battery when it is determined that the target battery is in a charging state.

[0166] In a possible implementation, the determination unit 402 is configured to determine an initial thermal management strategy that matches the charging data.

[0167] In a possible implementation, the determination unit 402 is further configured to optimize the initial thermal management strategy based on the optimization target to obtain a target thermal management strategy.

[0168] In a possible implementation, the control unit 403 is also used to control the vehicle to execute a target thermal management strategy.

[0169] In one possible implementation, the determination unit 402 is also used to calculate the charging status information and thermal management power consumption corresponding to each moment in the second time series, the thermal management strategy corresponding to each moment in the first time series, and the disturbance data corresponding to each moment in the first time series during the process of controlling the vehicle to execute the target thermal management strategy.

[0170] In a possible implementation, the determination unit 402 is further configured to calculate the thermal management strategy corresponding to each moment in the second time series based on the charging state information and thermal management power consumption corresponding to each moment in the second time series with the goal of minimizing the cost function.

[0171] In a possible implementation, the control unit 403 is further configured to control the vehicle to execute a thermal management strategy corresponding to each moment in the second time series.

[0172] In a possible implementation, the recording unit 404 is used to record the actual thermal management strategy executed by the vehicle.

[0173] In a possible implementation, the storage unit 405 is used to store the actual thermal management strategy to the target mapping relationship.

[0174] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0175] Fig.10 FIG. 1 is a block diagram of an electronic device according to an exemplary embodiment. Fig.10 As shown, the electronic device includes but is not limited to: a processor 501 and a memory 502 .

[0176] The memory 502 is used to store executable instructions of the processor 501. It can be understood that the processor 501 is configured to execute instructions to implement the thermal management method of the battery in the above embodiment.

[0177] It should be noted that those skilled in the art can understand that Fig.10 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and the electronic device may include Fig.10 More or fewer components may be shown, or certain components may be combined, or the components may be arranged differently.

[0178] The processor 501 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 502, and calling data stored in the memory 502, it performs various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. The processor 501 may include one or more processing units. Optionally, the processor 501 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 501.

[0179] The memory 502 may be used to store software programs and various data. The memory 502 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one functional module (such as a determination unit, a processing unit, etc.), etc. In addition, the memory 502 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0180] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory 502 including instructions. The above instructions can be executed by a processor 501 of an electronic device to implement the method in the above embodiment.

[0181] In actual implementation, Fig. 9 The functions of the acquisition unit 401, the determination unit 402, the control unit 403, the recording unit 404, and the storage unit 405 can all be implemented by Fig.10 The processor 501 in the embodiment calls the computer program stored in the memory 502. The specific execution process can refer to the description of the method part in the above embodiment, which will not be repeated here.

[0182] Optionally, the computer-readable storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0183] In an exemplary embodiment, the present application also provides a computer program product including one or more instructions, and the one or more instructions can be executed by the processor 501 of the electronic device to complete the method in the above embodiment.

[0184] It should be noted that when the instructions in the above-mentioned computer-readable storage medium or one or more instructions in the computer program product are executed by the processor of the electronic device, the various processes of the above-mentioned method embodiment are implemented, and the same technical effect as the above-mentioned method can be achieved. To avoid repetition, they will not be repeated here.

[0185] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0186] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0187] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0188] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0189] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or the full classification part or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to execute the full classification part or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, ROM, RAM, disk or CD and other media that can store program code.

[0190] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A battery thermal management method, characterized in that: Applied to vehicles, including: When it is determined that the target battery is in a charging state, acquiring charging data of the target battery; the charging data includes charging parameters and a battery state of the target battery when charging starts; Determine an initial thermal management strategy that matches the charging data; the charging data and the initial thermal management strategy satisfy a target mapping relationship; the target mapping relationship includes: a plurality of initial thermal management strategies corresponding to a plurality of charging data one by one; Based on the optimization goal, the initial thermal management strategy is optimized to obtain a target thermal management strategy; the optimization goal includes minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy; The vehicle is controlled to execute the target thermal management strategy.

2. The method according to claim 1, characterized in that The predicted charging time, the predicted thermal management power consumption and the thermal management strategy satisfy a constraint relationship; the constraint relationship is used to reflect the impact of the thermal management strategy on the charging time and the thermal management power consumption.

3. The method according to claim 2, characterized in that The constraint relationship satisfies the following formula, which is: Among them, the Used to characterize the predicted charging time; Used to characterize and predict thermal management power consumption; Used to characterize the heating control strategy in the thermal management strategy; Used to characterize the cooling control strategy in the thermal management strategy; Used to characterize the current limiting factor in the thermal management strategy.

4. The method according to any one of claims 1 to 3, characterized in that The method further comprises: In the process of controlling the vehicle to execute the target thermal management strategy, the charging state information and thermal management power consumption corresponding to each moment in the second time series are calculated according to the charging state information and thermal management power consumption corresponding to each moment in the first time series, the thermal management strategy corresponding to each moment in the first time series, and the disturbance data corresponding to each moment in the first time series; the charging state information includes: predicted battery temperature and current limit coefficient; the disturbance data is used to characterize the difference between the preset charging parameters corresponding to each moment in the first time series and the measured charging parameters; With the minimization of the cost function as a goal, based on the charging state information and thermal management power consumption corresponding to each moment in the second time series, a thermal management strategy corresponding to each moment in the second time series is calculated; The vehicle is controlled to execute a thermal management strategy corresponding to each moment in the second time series.

5. The method according to claim 4, characterized in that The cost function is used to characterize the difference between the charging status information and thermal management power consumption corresponding to each moment in the second time series and the first expected value, and the difference between the thermal management strategy corresponding to each moment in the second time series and the second expected value; the first expected value and the second expected value are related to the target thermal management strategy; the first expected value includes the expected value of the charging status information and the expected value of the thermal management power consumption; the second expected value is the expected value of the thermal management strategy.

6. The method according to claim 5, characterized in that The method further comprises: Recording an actual thermal management strategy executed by the vehicle; the actual thermal management strategy is a thermal management strategy actually executed by the vehicle during the charging process of the target battery; The actual thermal management strategy is stored in the target mapping relationship.

7. A thermal management device for a battery, characterized in that: The device comprises: an acquisition unit, a determination unit, and a control unit; The acquisition unit is used to acquire charging data of the target battery when it is determined that the target battery is in a charging state; the charging data includes charging parameters and a battery state of the target battery when charging starts; The determining unit is used to determine an initial thermal management strategy matching the charging data; the charging data and the initial thermal management strategy satisfy a target mapping relationship; the target mapping relationship includes: a plurality of initial thermal management strategies corresponding to a plurality of charging data one by one; The determination unit is further configured to optimize the initial thermal management strategy based on an optimization target to obtain a target thermal management strategy; the optimization target includes minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy; The control unit is also used to control the vehicle to execute the target thermal management strategy.

8. The device according to claim 7, characterized in that The determination unit is further used to calculate the charging state information and thermal management power consumption corresponding to each moment in the second time series according to the charging state information and thermal management power consumption corresponding to each moment in the first time series, the thermal management strategy corresponding to each moment in the first time series, and the disturbance data corresponding to each moment in the first time series during the process of controlling the vehicle to execute the target thermal management strategy; the charging state information includes: predicted battery temperature and current limiting coefficient; the disturbance data is used to characterize the difference between the preset charging parameters corresponding to each moment in the first time series and the measured charging parameters; The determining unit is further configured to calculate the thermal management strategy corresponding to each moment in the second time series based on the charging state information and thermal management power consumption corresponding to each moment in the second time series with the goal of minimizing the cost function; The control unit is further used to control the vehicle to execute the thermal management strategy corresponding to each moment in the second time series.

9. The device according to claim 8, characterized in that The device also includes: a recording unit and a storage unit; The recording unit is used to record the actual thermal management strategy implemented by the vehicle; the actual thermal management strategy is the thermal management strategy actually implemented by the vehicle during the charging process of the target battery; The storage unit is used to store the actual thermal management strategy into the target mapping relationship.

10. A thermal management system for a battery, characterized in that: The system comprises: a target battery and a thermal management device for the battery according to any one of claims 7 to 9; The thermal management device of the battery is used to obtain charging data of the target battery when it is determined that the target battery is in a charging state; the charging data includes charging parameters and a battery state of the target battery when charging starts; The thermal management device of the battery is further used to determine an initial thermal management strategy matching the charging data; the charging data and the initial thermal management strategy satisfy a target mapping relationship; the target mapping relationship includes: a plurality of initial thermal management strategies corresponding to a plurality of charging data one by one; The thermal management device of the battery is further used to optimize the initial thermal management strategy based on an optimization target to obtain a target thermal management strategy; the optimization target includes minimizing the predicted charging time and predicted thermal management power consumption corresponding to the thermal management strategy; The thermal management device of the battery is also used to control the vehicle to execute the target thermal management strategy.

11. A vehicle, characterized in that: The vehicle includes the thermal management system for the battery of claim 10 .

12. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 6.

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