Self-adaptive thermal management control method and system for power battery and electronic equipment

Abstract

The invention discloses a self-adaptive thermal management control method and system for a power battery and electronic equipment, and relates to the field of battery thermal management, and the method comprises the steps: obtaining a thermal management control parameter of the power battery; obtaining current temperature data and current data of the power battery, wherein the temperature data comprises the highest temperature, the lowest temperature and the average temperature; initiating or canceling a thermal management mode control request based on the temperature data and a preset temperature judgment rule; estimating the residual duration of the battery continuously working to the preset SOC state; judging whether the highest temperature and the lowest temperature of the battery are in the optimal working temperature interval or not after the residual duration based on a current thermal management strategy; if yes, keeping the current thermal management strategy, and returning to the step A2; if not, calculating the average current in the preset historical time; and based on a comparison result of the average current and the current threshold group, adjusting a thermal management mode and a thermal management target water temperature, and returning to the step A2 according to an adjustment result.

Description

An adaptive thermal management control method, system, and electronic device for power batteries. Technical Field

[0001] This invention relates to the field of battery thermal management, and in particular to an adaptive thermal management control method for power batteries, an adaptive thermal management control system for power batteries, electronic devices, and storage media. Background Technology

[0002] With the increasing popularity of electric vehicles, the performance, lifespan, and safety of power batteries have become crucial. The thermal state of a battery directly affects its efficiency, cycle life, and thermal safety. Excessively high temperatures can accelerate battery aging and even trigger thermal runaway, while excessively low temperatures can lead to decreased charge / discharge performance and lithium deposition.

[0003] Existing battery thermal management strategies mostly involve threshold control of a single and fixed temperature parameter, which may lead to problems such as high system energy consumption, inability to adapt to complex and variable operating conditions, and potential damage to battery life.

[0004] Therefore, there is an urgent need in this field for an intelligent adaptive thermal management strategy that can simultaneously respond to battery temperature and real-time current in order to achieve safer, more efficient, and more energy-saving thermal control. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide an adaptive thermal management control method for power batteries, an adaptive thermal management control system for power batteries, electronic devices and storage media, aiming to solve the technical problems in the prior art of high system energy consumption, inability to adapt to complex and variable operating conditions and potential damage to battery life caused by temperature control of power batteries.

[0006] This invention provides the following solution:

[0007] According to one aspect of the present invention, an adaptive thermal management control method for a power battery is provided, comprising the following steps:

[0008] Obtain the thermal management control parameters of the power battery, which include: the optimal operating temperature range of the power battery, the target water temperature for thermal management, and the current threshold group.

[0009] Acquire the current temperature and current data of the power battery. The temperature data includes the highest temperature, the lowest temperature, and the average temperature.

[0010] Based on temperature data and preset temperature judgment rules, initiate or cancel thermal management mode control requests;

[0011] Obtain the remaining time the battery can continue operating until the preset SOC state;

[0012] After determining the remaining time based on the current thermal management strategy, whether the battery's highest and lowest temperatures are within the optimal operating temperature range;

[0013] If so, maintain the current thermal management strategy and return to step A2;

[0014] If not, calculate the average current over a preset historical period;

[0015] Based on the comparison results between the average current and the current threshold group, adjust the thermal management mode and the target water temperature for thermal management, and return to step A2 according to the adjustment results.

[0016] Furthermore, the power battery thermal management control parameters also include: a first preset temperature threshold, a second preset temperature threshold, a third preset temperature threshold, a fourth preset temperature threshold, a fifth preset temperature threshold, and a sixth preset temperature threshold.

[0017] The preset temperature judgment rule is as follows: if the current highest temperature is greater than the upper limit of the optimal working temperature range and the average temperature is greater than the first temperature threshold, then a cooling request is initiated.

[0018] If the current highest temperature is less than the second preset temperature threshold, or the average temperature is less than the third preset temperature threshold, then the cooling request is cancelled.

[0019] If the current highest temperature is less than the lower limit of the optimal working temperature range and the average temperature is less than the fourth preset temperature threshold, then a heating request is initiated.

[0020] If the current highest temperature is greater than the fifth preset temperature threshold, or the average temperature is greater than the sixth preset temperature threshold, then the heating request is cancelled.

[0021] Furthermore, this includes: the second preset temperature threshold is less than the upper limit of the optimal operating temperature range;

[0022] The third preset temperature threshold is less than the second preset temperature threshold;

[0023] The fifth preset temperature threshold is greater than the lower limit of the optimal operating temperature range;

[0024] The sixth preset temperature threshold is greater than the fourth preset temperature threshold.

[0025] Furthermore, the current threshold group includes: a first current threshold and a second current threshold;

[0026] The adjustment of the thermal management mode and the target water temperature based on the comparison result between the average current and the current threshold group is specifically as follows:

[0027] If the average current is greater than the second current threshold, the original mode will be maintained when the current mode is heating.

[0028] If the current mode is not heating, start the cooling mode and lower the target cooling water temperature;

[0029] If the average current is less than the first current threshold, the target heating water temperature is increased when the current mode is heating; the target cooling water temperature is increased when the current mode is cooling; if there is no current request for thermal management mode, the state of no request is maintained.

[0030] If the average current is between the first current threshold and the second current threshold, the current thermal management strategy is maintained.

[0031] Furthermore, including:

[0032] The adjustment range of the target cooling water temperature, the adjustment range of the target heating water temperature, and the adjustment range of the target cooling water temperature are all within a preset threshold range, or are dynamically adjusted based on the difference between the average current and the corresponding current threshold.

[0033] Furthermore, the preset SOC states include: SOC too low fault state;

[0034] The remaining duration of the preset SOC state is specifically as follows:

[0035] Remaining time = (Current SOC value - SOC low fault threshold) × Battery rated capacity / Real-time discharge current;

[0036] The remaining charging time is specifically as follows:

[0037] Remaining charging time = (upper limit SOC value - current SOC value) × battery rated capacity / real-time charging current.

[0038] Furthermore, including:

[0039] Based on the current thermal management strategy, determine whether the battery's highest and lowest temperatures are within the optimal operating temperature range after the remaining time.

[0040] Specifically, based on the current rate of change of battery temperature, remaining time, and the heat dissipation or heating efficiency of the current thermal management strategy, a temperature prediction model is established to output the predicted values ​​of the highest and lowest future battery temperatures, and to determine whether the predicted values ​​are within the optimal operating temperature range.

[0041] According to a second aspect of the present invention, an adaptive thermal management control system for a power battery is provided, characterized in that it comprises:

[0042] The module includes a parameter acquisition module, a data acquisition module, a control request module, a duration estimation module, and an interval judgment module.

[0043] The control parameter acquisition module is used to acquire the thermal management control parameters of the power battery. The thermal management control parameters of the power battery include: the optimal operating temperature range of the power battery, the target water temperature for thermal management, the current threshold group and the temperature difference parameter.

[0044] The real-time acquisition module is used to acquire temperature and current data of the power battery. The temperature data includes the highest temperature, the lowest temperature, and the average temperature.

[0045] The control request module is used to initiate or cancel thermal management mode control requests based on temperature data and preset temperature judgment rules.

[0046] The duration estimation module is used to obtain the remaining time for the battery to continue working until the preset SOC state;

[0047] The interval judgment module is used to determine whether the battery's highest and lowest temperatures are within the optimal operating temperature range after the remaining time based on the current thermal management strategy.

[0048] If so, maintain the current thermal management strategy and initiate or cancel the control request based on the temperature data and preset temperature judgment rules;

[0049] If not, calculate the average current over a preset historical period;

[0050] Based on the comparison results between the average current and the current threshold group, the thermal management mode and the target water temperature for thermal management are adjusted. Based on the adjustment results and the preset temperature judgment rules, it is determined whether to initiate a thermal management mode control request.

[0051] According to three aspects of the present invention, an electronic device is provided, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0052] The memory stores a computer program, which, when executed by a processor, causes the processor to perform the steps of an adaptive thermal management control method for a power battery.

[0053] According to four aspects of the present invention, a computer-readable storage medium is provided that stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of a power battery adaptive thermal management control method.

[0054] Compared with the prior art, the present invention has the following advantages:

[0055] This application addresses the pain point of existing solutions being unable to adapt to complex and variable operating conditions by automatically enhancing the cooling strategy for high-current operating conditions to prevent temperature runaway caused by excessive heat generation; optimizing the water temperature adjustment range for low-current operating conditions to avoid over-temperature control; and ensuring dynamic matching between the thermal management strategy and the actual working state of the battery by accurately capturing changes in operating load.

[0056] This application uses multi-dimensional temperature judgment to avoid overcooling and overheating caused by misjudgment of a single temperature parameter, effectively reducing the risk of battery aging and thermal runaway caused by high temperature, as well as lithium deposition problems caused by low temperature, and significantly improving the cycle life and long-term stability of power batteries.

[0057] This application allows for flexible configuration of core parameters such as optimal temperature range, temperature difference, and water temperature adjustment range according to battery characteristics, without requiring significant modifications to the control logic. It can be quickly ported to different vehicle models or battery packs, reducing the cost of technology implementation. Attached Figure Description

[0058] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0059] Figure 1 is a flowchart of an adaptive thermal management control method for power batteries provided by one or more embodiments of the present invention.

[0060] Figure 2 is a structural diagram of an adaptive thermal management control system for a power battery provided by one or more embodiments of the present invention.

[0061] Figure 3 is a flowchart of an adaptive thermal management control method for power batteries according to a specific embodiment of the present invention.

[0062] Figure 4 is a block diagram of an electronic device structure for an adaptive thermal management control method for a power battery provided by one or more embodiments of the present invention. Detailed Implementation

[0063] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0064] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. The singular forms “a,” “said,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0065] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0066] It should be understood that although the terms first, second, third, etc., may be used in the embodiments of this application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, first may also be referred to as second without departing from the scope of the embodiments of this application, and similarly, second may also be referred to as first.

[0067] Depending on the context, the words “if” or “suppose” as used here can be interpreted as “when” or “in response to determination” or “in response to detection.” Similarly, depending on the context, the phrases “if determination” or “if detection (of the stated condition or event)” can be interpreted as “when determination” or “in response to determination” or “when detection (of the stated condition or event)” or “in response to detection (of the stated condition or event).”

[0068] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that an article or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the article or device that includes said element.

[0069] It should be noted that any symbols and / or numbers present in the specification that are not marked in the accompanying drawings are not reference numerals.

[0070] Figure 1 is a flowchart of an adaptive thermal management control method for power batteries provided by one or more embodiments of the present invention.

[0071] As shown in Figure 1, the steps include:

[0072] Step A1: Obtain the power battery thermal management control parameters, which include: the optimal operating temperature range of the power battery, the target water temperature for thermal management, the current threshold group, and the temperature difference parameter.

[0073] Specifically, the optimal operating temperature range of the power battery [T_min_opt, T_max_opt], ​​the target water temperature for cooling and heating, and the current thresholds I_low and I_high are preset.

[0074] Step A2: Obtain the current temperature and current data of the power battery. The temperature data includes: the highest temperature, the lowest temperature, and the average temperature.

[0075] Step A3: Based on temperature data and preset temperature judgment rules, initiate or cancel the thermal management mode control request;

[0076] Specifically, the power battery thermal management control parameters also include: a first preset temperature threshold, a second preset temperature threshold, a third preset temperature threshold, a fourth preset temperature threshold, a fifth preset temperature threshold, and a sixth preset temperature threshold.

[0077] The preset temperature judgment rule is as follows: if the current highest temperature is greater than the upper limit of the optimal working temperature range and the average temperature is greater than the first temperature threshold, then a cooling request is initiated.

[0078] If the current highest temperature is less than the second preset temperature threshold, or the average temperature is less than the third preset temperature threshold, then the cooling request is cancelled.

[0079] If the current highest temperature is less than the lower limit of the optimal working temperature range and the average temperature is less than the fourth preset temperature threshold, then a heating request is initiated.

[0080] If the current highest temperature is greater than the fifth preset temperature threshold, or the average temperature is greater than the sixth preset temperature threshold, then the heating request is cancelled.

[0081] Furthermore, this includes: the second preset temperature threshold is less than the upper limit of the optimal operating temperature range;

[0082] The third preset temperature threshold is less than the second preset temperature threshold;

[0083] The fifth preset temperature threshold is greater than the lower limit of the optimal operating temperature range;

[0084] The sixth preset temperature threshold is greater than the fourth preset temperature threshold.

[0085] Furthermore, the current threshold group includes: a first current threshold and a second current threshold;

[0086] The adjustment of the thermal management mode and the target water temperature based on the comparison result between the average current and the current threshold group is specifically as follows:

[0087] If the average current is greater than the second current threshold, the original mode will be maintained when the current mode is heating.

[0088] If the current mode is not heating, start the cooling mode and lower the target cooling water temperature;

[0089] If the average current is less than the first current threshold, the target heating water temperature is increased when the current mode is heating; the target cooling water temperature is increased when the current mode is cooling; if there is no current request for thermal management mode, the state of no request is maintained.

[0090] If the average current is between the first current threshold and the second current threshold, the current thermal management strategy is maintained.

[0091] Step A4: Obtain the remaining time for the battery to continue operating until the preset SOC state;

[0092] Specifically, the preset SOC states include: SOC too low fault state;

[0093] The remaining duration of the preset SOC state is specifically as follows:

[0094] Remaining time = (Current SOC value - SOC low fault threshold) × Battery rated capacity / Real-time discharge current;

[0095] The remaining charging time is specifically as follows:

[0096] Remaining charging time = (upper limit SOC value - current SOC value) × battery rated capacity / real-time charging current.

[0097] Step A5: After determining the remaining time based on the current thermal management strategy, check whether the battery's highest and lowest temperatures are within the optimal operating temperature range.

[0098] If so, maintain the current thermal management strategy and initiate or cancel the control request based on the temperature data and preset temperature judgment rules;

[0099] If not, calculate the average current over a preset historical period;

[0100] Step A6: Based on the comparison results between the average current and the current threshold group, adjust the thermal management mode and the target water temperature for thermal management. Based on the preset temperature judgment rules, determine whether to initiate a thermal management mode control request.

[0101] The adjustment range of the target cooling water temperature, the adjustment range of the target heating water temperature, and the adjustment range of the target cooling water temperature are all within a preset threshold range, or are dynamically adjusted based on the difference between the average current and the corresponding current threshold.

[0102] Furthermore, including:

[0103] Based on the current thermal management strategy, determine whether the battery's highest and lowest temperatures are within the optimal operating temperature range after the remaining time.

[0104] Specifically, based on the current rate of change of battery temperature, remaining time, and the heat dissipation or heating efficiency of the current thermal management strategy, a temperature prediction model is established to output the predicted values ​​of the highest and lowest future battery temperatures, and to determine whether the predicted values ​​are within the optimal operating temperature range.

[0105] Specifically, by using multiple preset thresholds and optimal operating temperature ranges, and by making coordinated judgments based on the highest and average temperatures, thermal management delays caused by misjudgments of a single temperature parameter are avoided.

[0106] By using the remaining time calculation formula, the time it takes for the battery to discharge to the fault threshold can be predicted in advance. Combined with the temperature prediction model, the temperature trend within this time can be judged. If the predicted temperature exceeds the optimal range, the thermal management strategy can be adjusted in advance, such as cooling in advance when the current is high, to avoid the risk of battery undervoltage, bulging or fire caused by low SOC and extreme temperature, thus achieving coordinated safety protection of power and temperature.

[0107] By setting first and second current thresholds, thermal management strategies are formulated for three operating conditions: high current discharge (such as high-speed cruising and hill climbing) exceeding the second current threshold; low current discharge (such as low-speed driving and idling in urban areas) below the first current threshold; and normal constant-speed driving in between. These strategies enhance cooling during high current conditions, optimize water temperature to reduce energy consumption during low current conditions, and maintain stability during normal operating conditions. This achieves adaptive matching for different driving scenarios of new energy vehicles.

[0108] Figure 2 is a structural diagram of an adaptive thermal management control system for a power battery provided by one or more embodiments of the present invention.

[0109] As shown in Figure 2, it includes:

[0110] The module includes a control parameter acquisition module, a real-time acquisition module, a control request module, a duration estimation module, and an interval judgment module.

[0111] The control parameter acquisition module is used to acquire the thermal management control parameters of the power battery. The thermal management control parameters of the power battery include: the optimal operating temperature range of the power battery, the target water temperature for thermal management, the current threshold group and the temperature difference parameter.

[0112] The real-time acquisition module is used to acquire temperature and current data of the power battery. The temperature data includes the highest temperature, the lowest temperature, and the average temperature.

[0113] The control request module is used to initiate or cancel thermal management mode control requests based on temperature data and preset temperature judgment rules.

[0114] The duration estimation module is used to obtain the remaining time for the battery to continue working until the preset SOC state;

[0115] The interval judgment module is used to determine whether the battery's highest and lowest temperatures are within the optimal operating temperature range after the remaining time based on the current thermal management strategy.

[0116] If so, maintain the current thermal management strategy and initiate or cancel the control request based on the temperature data and preset temperature judgment rules;

[0117] If not, calculate the average current over a preset historical period, and based on the comparison between the average current and the current threshold group, adjust the thermal management mode and the target water temperature for thermal management. Based on the adjustment results and the preset temperature judgment rules, determine whether to initiate a thermal management mode control request.

[0118] It is worth noting that although only some basic functional modules are disclosed in this embodiment, it does not mean that the composition of this system is limited to the above-mentioned basic functional modules. On the contrary, what this embodiment intends to express is that, based on the above-mentioned basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with existing technology to form an infinite number of embodiments or technical solutions. That is to say, this system is open rather than closed. The fact that this embodiment only discloses a few basic functional modules does not mean that the scope of protection of the claims of this invention is limited to the disclosed basic functional modules. At the same time, for the convenience of description, the above device is described separately according to its functions as various units and modules. Of course, in implementing this invention, the functions of each unit and module can be implemented in one or more software and / or hardware.

[0119] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0120] In one embodiment of a power battery management system, it includes: a BCU module, a BMU module, and a current sensor module.

[0121] The BCU module primarily adjusts its thermal management strategy based on actual current and battery temperature.

[0122] The BMU module is mainly responsible for collecting the temperature of all individual units and sending it to the BCU module.

[0123] The current sensor module is mainly used to collect the actual current of the battery pack.

[0124] In one specific embodiment of the control flow, as shown in Figure 3, it specifically includes:

[0125] Step S1: Preset the optimal operating temperature range of the power battery [T_min_opt, T_max_opt], ​​the target water temperature for cooling and heating, and the current thresholds I_low and I_high, then proceed to S2.

[0126] Step S2: Real-time collection of the highest temperature, lowest temperature, average temperature of the power battery, and total battery current. If the current highest temperature is greater than T_max_opt and the average temperature is greater than a certain threshold, request cooling. If the highest temperature is lower than T_max_opt-ΔT or the average temperature is lower than a certain threshold, cancel the cooling request. If the current highest temperature is lower than T_min_opt and the average temperature is lower than a certain threshold, request heating. If the highest temperature is higher than T_min_opt+ΔT or the average temperature is higher than a certain threshold, cancel the heating request. Otherwise, do not request any mode and proceed to S3.

[0127] Step S3: Estimate the time required to discharge to the low SOC fault (remaining charging time). Estimate whether the battery temperature (including the highest and lowest temperatures) is within the optimal operating temperature range after this period according to the current thermal management strategy. If so, maintain the current strategy and proceed to S2; otherwise, proceed to S4.

[0128] Step S4: Calculate the average current over a short period of time. If it is greater than I_high, proceed to S41; if it is less than I_low, proceed to S42; otherwise, proceed to S2.

[0129] Step S41: If the current request mode is heating, do nothing; otherwise, set the request mode to cooling and adjust the target cooling water temperature downward, then proceed to S2.

[0130] Step S42: If the current request mode is heating, adjust the target heating water temperature upward; if there is no current request mode, do nothing; if the current request mode is cooling, adjust the target cooling water temperature upward, and proceed to S2.

[0131] Figure 4 is a block diagram of an electronic device structure for an adaptive thermal management control method for a power battery provided by one or more embodiments of the present invention.

[0132] As shown in Figure 4, this application provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0133] The memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of an adaptive thermal management control method for a power battery.

[0134] This application also provides a computer-readable storage medium storing a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of a power battery adaptive thermal management control method.

[0135] For the sake of simplicity, the method embodiments are described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0136] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of this application.

[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for adaptive thermal management control of a power battery, characterized in that, Includes the following steps: Step A1: Obtain the power battery thermal management control parameters; the power battery thermal management control parameters include: the optimal operating temperature range of the power battery, the target water temperature for thermal management, and the current threshold group; Step A2: Obtain the current temperature data and current data of the power battery, the temperature data includes: the highest temperature, the lowest temperature, and the average temperature; Step A3: Based on the temperature data and the preset temperature judgment rule, initiate or cancel the thermal management mode control request; Step A4: Estimate the remaining time for the battery to continue working until the preset SOC state; Step A5: Based on the current thermal management strategy, determine whether the battery's highest and lowest temperatures are within the optimal operating temperature range after the remaining time; if yes, maintain the current thermal management strategy and return to step A2; if no, calculate the average current over a preset historical period; Step A6: Based on the comparison result between the average current and the current threshold group, adjust the thermal management mode and the target water temperature for thermal management, and return to step A2 according to the adjustment result.

2. The adaptive thermal management control method for a power battery according to claim 1, characterized in that, The power battery thermal management control parameters further include: a first preset temperature threshold, a second preset temperature threshold, a third preset temperature threshold, a fourth preset temperature threshold, a fifth preset temperature threshold, and a sixth preset temperature threshold; the preset temperature judgment rule is as follows: if the current highest temperature is greater than the upper limit of the optimal operating temperature range and the average temperature is greater than the first temperature threshold, a cooling request is initiated; if the current highest temperature is less than the second preset temperature threshold, or the average temperature is less than the third preset temperature threshold, the cooling request is cancelled; if the current highest temperature is less than the lower limit of the optimal operating temperature range and the average temperature is less than the fourth preset temperature threshold, a heating request is initiated; if the current highest temperature is greater than the fifth preset temperature threshold, or the average temperature is greater than the sixth preset temperature threshold, the heating request is cancelled.

3. The adaptive thermal management control method for a power battery according to claim 2, characterized in that, The second preset temperature threshold is less than the upper limit of the optimal operating temperature range; the third preset temperature threshold is less than the second preset temperature threshold; the fifth preset temperature threshold is greater than the lower limit of the optimal operating temperature range; and the sixth preset temperature threshold is greater than the fourth preset temperature threshold.

4. The adaptive thermal management control method for a power battery according to claim 1, characterized in that, The current threshold group includes a first current threshold and a second current threshold. The adjustment of the thermal management mode and target water temperature based on the comparison result between the average current and the current threshold group specifically involves: if the average current is greater than the second current threshold, maintaining the original mode when the current mode is heating; if the current mode is not heating, activating the cooling mode and lowering the target cooling water temperature; if the average current is less than the first current threshold, raising the target heating water temperature when the current mode is heating; raising the target cooling water temperature when the current mode is cooling; maintaining a no-request state when there is no current thermal management mode request; and maintaining the current thermal management strategy if the average current is between the first and second current thresholds.

5. The adaptive thermal management control method for a power battery according to claim 4, characterized in that, Also includes: The downward adjustment range of the target cooling water temperature, the upward adjustment range of the target heating water temperature, and the upward adjustment range of the target cooling water temperature are preset threshold ranges, or dynamically adjusted based on the difference between the average current and the corresponding current threshold.

6. The adaptive thermal management control method for a power battery according to claim 1, characterized in that, The preset SOC state includes: low SOC fault state and remaining charging time; the remaining time of the preset SOC state is specifically: remaining time = (current SOC value - low SOC fault threshold) × battery rated capacity / real-time discharge current; the remaining charging time is specifically: remaining charging time = (charging upper limit SOC value - current SOC value) × battery rated capacity / real-time charging current.

7. The adaptive thermal management control method for a power battery according to claim 1, characterized in that, The step of determining whether the battery's highest and lowest temperatures after the remaining time are within the optimal operating temperature range based on the current thermal management strategy involves: establishing a temperature prediction model based on the current battery temperature change rate, the remaining time, and the heat dissipation or heating efficiency of the current thermal management strategy; outputting predicted values ​​for the future battery's highest and lowest temperatures; and determining whether the predicted values ​​are within the optimal operating temperature range.

8. An adaptive thermal management control system for a power battery, characterized in that, include: The module includes a control parameter acquisition module, a real-time acquisition module, a control request module, a duration estimation module, and an interval judgment module. The system includes a control parameter acquisition module for acquiring power battery thermal management control parameters, including: the optimal operating temperature range of the power battery, the target water temperature for thermal management, current threshold groups, and temperature difference parameters; a real-time acquisition module for acquiring temperature data and current data of the power battery, including: the highest temperature, the lowest temperature, and the average temperature; a control request module for initiating or canceling thermal management mode control requests based on the temperature data and preset temperature judgment rules; a duration estimation module for acquiring the remaining time for the battery to continue operating until a preset SOC state; and a range judgment module for determining whether the battery's highest and lowest temperatures are within the optimal operating temperature range after the remaining time, based on the current thermal management strategy. If yes, the current thermal management strategy is maintained, and a control request is initiated or canceled based on the temperature data and preset temperature judgment rules. If no, the average current over a preset historical period is calculated, and the thermal management mode and target water temperature are adjusted based on the comparison between the average current and the current threshold groups. Based on the adjustment result and the preset temperature judgment rules, a decision is made on whether to initiate a thermal management mode control request.

9. An electronic device, characterized in that, include: The system includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus; the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the adaptive thermal management control method for a power battery as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, It stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the adaptive thermal management control method for a power battery as described in any one of claims 1-7.

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