Battery thermal management method and device, electric device and storage medium

Abstract

This application relates to the field of battery management technology, and discloses a method, apparatus, electrical device, and storage medium for battery thermal management. The method includes: acquiring the current health state of a target battery, and a target degradation path for the target battery to age from a baseline health state to the current health state; the target degradation path characterizes the dynamic change law of the target battery's health state gradually decreasing during the aging process; determining the current self-generated heat temperature of the target battery in its current health state based on the target degradation path; determining the upper limit temperature for thermal management of the target battery based on the current self-generated heat temperature; and adjusting the operating state of the thermal management system of the target battery based on the upper limit temperature. This application can improve the prediction accuracy of self-generated heat temperature, enhance the rationality of battery thermal management, and extend battery life.

Description

Technical Field

[0001] This application relates to the field of battery management technology, specifically to battery thermal management methods, devices, electrical equipment, and storage media. Background Technology

[0002] Lithium-ion batteries, with their high energy density and long cycle life, are widely used in new energy vehicles. To ensure battery safety, their operating temperature must be strictly controlled within a set upper limit. Traditional technologies often refine the battery's self-generated heat temperature based on its state of health or state of charge, dynamically setting the upper limit temperature and optimizing thermal management strategies. However, the accuracy of the self-generated heat temperature determined by traditional methods is poor, resulting in inaccurate thermal management strategies based on the upper limit temperature determined by self-generated heat. Summary of the Invention

[0003] In view of this, embodiments of this application provide a battery thermal management method, apparatus, electrical device, and storage medium to solve the problem that the accuracy of self-generated heat temperature is poor, which leads to poor accuracy of the upper limit temperature determined based on the self-generated heat temperature and thermal management strategy.

[0004] In a first aspect, embodiments of this application provide a thermal management method for a battery, the method comprising: The current health status of the target battery is obtained, as well as the target degradation path of the target battery aging from the baseline health status to the current health status; the target degradation path is used to characterize the dynamic change law of the gradual decline of the health status of the target battery during the aging process. Determine the current self-generated heat temperature of the target battery when it is in the current healthy state based on the target decay path; The upper limit temperature for thermal management of the target battery is determined based on the current self-generated heat temperature. The operating state of the thermal management system of the target battery is adjusted according to the upper limit temperature of thermal management.

[0005] The method provided in this application overcomes the limitation of determining the self-generated heat temperature solely based on the health state or state of charge by acquiring the current health state of the target battery and the target degradation path that characterizes the dynamic change law of the target battery's health state gradually declining during the aging process. It accurately matches the thermal characteristics of the battery's actual aging process. The current self-generated heat temperature is determined based on the target degradation path, and the upper limit temperature for thermal management is set accordingly. This adjusts the operating state of the thermal management system, ensuring that the upper limit temperature setting fully matches the battery's actual thermal stability. This achieves dynamic adaptation of the thermal management strategy to meet the thermal management needs of different battery aging stages.

[0006] In one optional implementation, the target degradation path includes: at least one target storage type and target storage time corresponding to each target storage type during the aging process of the target battery from a baseline health state to the current health state, and at least one target charge / discharge type and target cycle number corresponding to each target charge / discharge type; determining the current self-generated heat temperature of the target battery in the current health state according to the target degradation path includes: The self-generated heat temperature of the target battery when it is in the baseline healthy state is determined as the baseline temperature. Obtain the correspondence between the decay path and the self-generated heat temperature; The temperature change of the target battery from a baseline healthy state to its current healthy state is determined based on the correspondence and the target degradation path. The current self-generated heat temperature is determined based on the difference between the reference temperature and the temperature change.

[0007] The method provided in this application defines the self-generated heat temperature under a baseline healthy state as the baseline temperature. Based on the correspondence between the decay path and the self-generated heat temperature, and combined with the target decay path, the temperature change of the baseline temperature is determined. The difference between the baseline temperature and the temperature change is used as the current self-generated heat temperature. This establishes a quantitative calculation logic for the self-generated heat temperature from the baseline healthy state to the current healthy state, providing a clear numerical reference for determining the current self-generated heat temperature and avoiding ambiguous judgments. By quantifying the impact of different decay paths on the self-generated heat temperature through temperature change, the method accurately reflects the changes in thermal stability during battery aging, making the obtained current self-generated heat temperature more consistent with the actual state of the battery. This lays a data foundation for the accurate setting of the upper limit temperature for subsequent thermal management and improves the quantitative accuracy of the entire thermal management strategy.

[0008] In one optional implementation, determining the temperature change of the target battery from a baseline health state to its current health state based on the correspondence and the target degradation path includes: From the correspondence, obtain the first correspondence between storage type, storage time and self-generated heat temperature under the action of a single storage type during the aging process from the baseline health state to the current health state, and the second correspondence between charge / discharge type, cycle number and self-generated heat temperature under the action of a single charge / discharge type; The first temperature change corresponding to the target storage type is determined based on the first correspondence. The second temperature change corresponding to the target charge / discharge type is determined based on the second correspondence. The sum of the first temperature change and the second temperature change is taken as the temperature change of the reference temperature.

[0009] The method provided in this application determines the first temperature change for each target storage type and the second temperature change for each target charge / discharge type based on a correspondence. The temperature change is then summed to obtain the temperature change at a reference temperature, enabling a refined breakdown and quantitative analysis of the degradation path. By calculating and combining the effects of storage type and charge / discharge type on battery health separately, the resulting temperature change comprehensively and accurately reflects the overall impact of the target degradation path on the self-generated heat temperature, further improving the accuracy of the current self-generated heat temperature calculation.

[0010] In one optional implementation, determining the first temperature change corresponding to the target storage type based on the first correspondence includes: Based on the first correspondence, the storage time and self-generated heat temperature corresponding to each target storage type are obtained respectively; The first sub-temperature change amount corresponding to each target storage type is determined based on the target storage time, the storage time corresponding to each target storage type, and the self-generated heat temperature. The sum of the first sub-temperature changes corresponding to each target storage type is taken as the first temperature change.

[0011] The method provided in this application embodiment obtains the storage time and self-heating temperature of each target storage type according to the first correspondence relationship, determines the first sub-temperature change of each target storage type in combination with the target storage time, and sums them to obtain the first temperature change. This fully reflects the differentiated impact of different storage types and different storage times on the battery's self-heating temperature, making the calculation of the first temperature change more consistent with the actual storage aging process of the battery.

[0012] In one optional implementation, determining the second temperature change corresponding to the target charge / discharge type based on the second correspondence includes: Based on the second correspondence, the number of cycles and self-generated heat temperature corresponding to each target charge / discharge type are obtained respectively; The second sub-temperature change corresponding to each target charge-discharge type is determined based on the target number of cycles, the number of cycles corresponding to each target charge-discharge type, and the self-generated heat temperature. The sum of the second sub-temperature changes corresponding to each target charge / discharge type is taken as the second temperature change.

[0013] The method provided in this application embodiment obtains the cycle number and self-generated heat temperature of each target charge-discharge type according to the second correspondence relationship, determines the second sub-temperature change of each target charge-discharge type in combination with the target cycle number, and sums them to obtain the second temperature change. The corresponding second sub-temperature change is calculated in combination with the target cycle number of each target charge-discharge type, so that the influence of charge-discharge type and cycle number can be accurately reflected in the temperature change, fully reflecting the differentiated influence of different charge-discharge types and different cycle numbers on the battery's self-generated heat temperature, and making the calculation of the second temperature change more consistent with the actual cycle aging process of the battery.

[0014] In one optional implementation, adjusting the operating state of the thermal management system of the target battery according to the upper limit temperature of the thermal management system includes: The cooling start temperature and cooling stop temperature of the thermal management system are calculated based on the upper limit temperature of the thermal management system; the cooling start temperature is greater than the cooling stop temperature. Obtain the highest temperature of the battery cell inside the target battery; When the highest temperature is greater than or equal to the cooling start temperature, the operating state of the thermal management system is adjusted to the on state; or, When the highest temperature is less than or equal to the cooling exit temperature, the operating state of the thermal management system is adjusted to the off state; or, The thermal management system is maintained in operation when the highest temperature is greater than the cooling exit temperature but less than the cooling start temperature.

[0015] The method provided in this application calculates the cooling start-up temperature and cooling exit temperature based on the upper limit temperature of thermal management. Using the highest cell temperature as the monitoring basis, it precisely regulates the operating state of the thermal management system under different temperature conditions, establishing a start-up and shutdown judgment standard for the thermal management system based on temperature thresholds. This ensures that the start-up, shutdown, and maintenance of the thermal management system have clear temperature trigger conditions, avoiding arbitrary start-up and shutdown, and achieving refined temperature control of the thermal management system. Simultaneously, using the highest cell temperature as a monitoring indicator, it accurately controls the highest thermal risk points inside the battery, ensuring battery thermal safety, effectively reducing system operating time, further reducing thermal management energy consumption, and ensuring a high degree of matching between the operating state of the thermal management system and the actual temperature state of the battery.

[0016] In one optional implementation, determining the upper limit temperature for thermal management of the target battery based on the current self-generated heat temperature includes: The difference between the current self-generated heat temperature and the preset margin temperature is used as the upper limit temperature for thermal management.

[0017] The method provided in this application uses the difference between the current self-generated heat temperature and the preset margin temperature as the upper limit temperature for thermal management. This ensures that the setting of the upper limit temperature is based on the actual thermal stability of the battery while also providing sufficient thermal safety buffer space through the preset margin temperature. This effectively avoids the risk of thermal runaway caused by the battery temperature approaching its self-generated heat temperature, thus guaranteeing the thermal safety of the battery. Furthermore, this embodiment directly establishes a quantitative correlation between the current self-generated heat temperature and the upper limit temperature for thermal management, allowing the upper limit temperature to be dynamically adjusted according to changes in the battery's self-generated heat temperature. This avoids the limitations of a fixed temperature upper limit and adapts to the thermal safety management needs of batteries at different aging stages.

[0018] Secondly, embodiments of this application provide a thermal management device for a battery, the device comprising: The first processing module is used to obtain the current health status of the target battery and the target degradation path of the target battery aging from the baseline health status to the current health status; the target degradation path is used to characterize the dynamic change law of the target battery's health status gradually decreasing during the aging process. The second processing module is used to determine the current self-generated heat temperature of the target battery when it is in the current healthy state, based on the target decay path. The third processing module is used to determine the upper limit temperature for thermal management of the target battery based on the current self-generated heat temperature. The fourth processing module is used to adjust the operating state of the thermal management system of the target battery according to the upper limit temperature of the thermal management system.

[0019] Thirdly, embodiments of this application provide an electrical device, including: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to perform the battery thermal management method of the first aspect or any of its corresponding optional embodiments described above.

[0020] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer instructions for causing a computer to execute the battery thermal management method of the first aspect or any of its corresponding optional embodiments.

[0021] Fifthly, this application provides a computer program product, including computer instructions for causing a computer to execute the battery thermal management method described in the first aspect or any of its corresponding optional embodiments. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the specific embodiments of this application or 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 this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0023] Figure 1 This is a schematic flowchart of a battery thermal management method according to an embodiment of this application; Figure 2 This is a structural block diagram of a battery thermal management device according to an embodiment of this application; Figure 3 This is a schematic diagram of the hardware structure of the electrical equipment according to an embodiment of this application. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] Therefore, this application provides an embodiment of a battery thermal management method. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0026] This embodiment provides a thermal management method for a battery. Figure 1 This is a schematic flowchart of a battery thermal management method according to an embodiment of this application, as shown below. Figure 1 As shown, the process includes the following steps: S101, obtain the current health status of the target battery, and the target degradation path of the target battery from the baseline health status to the current health status.

[0027] In this embodiment, the target degradation path characterizes the dynamic change pattern of the target battery's health state gradually declining during the aging process, and the dynamic change pattern of the target battery's health state gradually declining with changes in storage and use. As an example, the target degradation path specifically includes: at least one target storage type and the target storage time corresponding to each target storage type during the aging process of the target battery from a baseline health state to its current health state, as well as at least one target charge / discharge type and the target cycle number corresponding to each target charge / discharge type. The target storage time refers to the cumulative duration of the target battery under a certain target storage type (state of charge and / or storage temperature) during the aging process from a baseline health state to its current health state.

[0028] In the embodiments of this application, the target battery may specifically be a lithium-ion battery.

[0029] As an example, the baseline health state can be the initial health state of the battery at the time of manufacture, specifically a state where the State of Health (SOH) is 100%. The baseline health state can also be a specific health state during battery use. For instance, if the previous execution of the technical solution in this application yielded a self-generating heat temperature corresponding to a SOH of 95%, then a SOH of 95% can be used as the baseline health state, where the self-generating heat temperature corresponding to the baseline health state is known. As another example, if the baseline health state is 100% and the current health state is 95%, the target degradation path of the target battery is obtained from the baseline health state of 100% to the current health state of 95%.

[0030] In this embodiment, the storage type is determined based on the state of charge and / or storage temperature. Different storage types are defined by the state of charge and / or storage temperature; for example, a state of charge of 90% and a storage temperature of 40°C, a state of charge of 90% and a storage temperature of 50°C, and a state of charge of 95% and a storage temperature of 50°C are considered different storage types.

[0031] The charge / discharge type is determined based on the charging rate and depth of discharge. As an example, different charge / discharge types can be defined by charging rate and depth of discharge. For instance, a charging rate of 1C with a depth of discharge of 60%, a charging rate of 3C with a depth of discharge of 60%, and a charging rate of 3C with a depth of discharge of 80% are different charge / discharge types. As another example, charge / discharge types can be categorized into regular charging and fast charging based on the charging rate. For example, a charging rate ≤ 1C is defined as a regular charging type, and a charging rate > 1C is defined as a fast charging type. The cycle count refers to the number of times a complete charge / discharge cycle is completed using a specific charge / discharge type (charging at a specific charging rate and discharging at a specific depth of discharge), counted as a unit of measurement for this complete charge / discharge cycle. For example, the first charge / discharge operation charges at a 1C charging rate and discharges at a 60% depth of discharge; the second charge / discharge operation charges at a 3C charging rate and discharges at a 80% depth of discharge; and the third charge / discharge operation also charges at a 3C charging rate and discharges at a 80% depth of discharge. The charge / discharge type is 1C for a charge rate of 1C and 60% for a discharge depth of 60%, and the charge / discharge type is 3C for a charge rate of 3C and 80% for a discharge depth of 80%, which corresponds to 2 cycles.

[0032] S102, determine the current self-generated heat temperature of the target battery when it is in its current healthy state based on the target degradation path.

[0033] In this embodiment, the self-heating temperature refers to the critical temperature at which the battery begins to generate heat spontaneously without an external heat source. The correspondence between storage paths and self-heating temperatures can be pre-obtained as the battery ages from different health states to a specified health state. This correspondence can include a first correspondence characterizing the relationship between the pre-aging health state, the post-aging health state, storage type (storage temperature and / or state of charge), storage time, and the self-heating temperature (post-aging health state), and a second correspondence characterizing the relationship between the pre-aging health state, the post-aging health state, charge / discharge type, cycle count, and the self-heating temperature (post-aging health state).

[0034] Based on the target degradation path and its corresponding relationship, the temperature change of the self-generated heat temperature of the target battery from the baseline healthy state to the current healthy state can be determined compared to the self-generated heat temperature of the baseline healthy state. Therefore, based on the temperature change of the self-generated heat temperature of the target battery from the baseline healthy state to the current healthy state, the current self-generated heat temperature of the target battery in its current healthy state can be determined.

[0035] S103 determines the upper limit temperature for thermal management of the target battery based on the current self-generated heat temperature.

[0036] In this embodiment, the difference between the current self-generated heat temperature and the preset margin temperature can be used as the upper limit temperature for thermal management. The preset margin temperature is a pre-set fixed safety temperature value, and the preset margin temperature is greater than or equal to 0°C, thus reserving sufficient buffer space for battery thermal safety. As an example, the preset margin temperature can be 5°C. Upper limit temperature for thermal management .

[0037] S104, adjusts the operating state of the thermal management system of the target battery according to the upper limit temperature of thermal management.

[0038] In this embodiment, the thermal management system operates in either an on or off state.

[0039] The method provided in this application overcomes the limitation of determining the self-generated heat temperature solely based on the health state or state of charge by acquiring the current health state of the target battery and the target degradation path, which includes the target storage type, storage time, target charge / discharge type, and number of cycles. This method accurately matches the thermal characteristics of the battery's actual aging process. The current self-generated heat temperature is determined based on the target degradation path, and this is used to set the upper limit temperature for thermal management and adjust the operating state of the thermal management system. This ensures that the upper limit temperature setting fully matches the battery's actual thermal stability, achieving dynamic adaptation of the thermal management strategy to meet the thermal management needs of different battery aging stages.

[0040] In an optional implementation, when the target degradation path includes: at least one target storage type and the target storage time corresponding to each target storage type during the aging process of the target battery from a baseline health state to the current health state, and at least one target charge / discharge type and the target cycle number corresponding to each target charge / discharge type, S102 determines the current self-generated heat temperature of the target battery when it is in the current health state, including Sa1 to Sa4, based on the target degradation path.

[0041] Sa1: The self-generated heat temperature of the target battery when it is in a baseline healthy state is determined as the baseline temperature.

[0042] In the embodiments of this application, the self-generated heat temperature of the target battery when it is in a baseline healthy state can be obtained by implementing the technical solution of this application.

[0043] Sa2: Obtain the correspondence between the decay path and the self-generated heat temperature.

[0044] In this embodiment, the attenuation path includes an attenuation path corresponding to the storage type and an attenuation path corresponding to the charge / discharge type. The attenuation path corresponding to the storage type corresponds to the first correspondence in the correspondence relationship, and the attenuation path corresponding to the charge / discharge type corresponds to the second correspondence in the correspondence relationship.

[0045] In this embodiment, the correspondence can be obtained through experimental testing. Specifically, using testing equipment such as an adiabatic calorimeter, for example, the storage time and corresponding self-generated heat temperature for aging from different health states to a specified health state can be tested under different storage conditions. This yields a first correspondence between the pre-aging health state, post-aging health state, storage conditions, storage time, and self-generated heat temperature (the self-generated heat temperature corresponding to the post-aging health state). Under different charge and discharge conditions, the number of charge and discharge cycles for aging from different health states to a specified health state can be tested, along with the corresponding self-generated heat temperature. This yields a second correspondence between the pre-aging health state, post-aging health state, charge and discharge conditions, number of cycles, and self-generated heat temperature (the self-generated heat temperature corresponding to the post-aging health state). The first and second correspondences are used as the correspondence between the decay path and the self-generated heat temperature. Storage conditions may include storage temperature, state of charge, etc. Charge and discharge conditions may include charge rate, depth of discharge, etc.

[0046] In this application, different storage types can be determined based on storage conditions, and different charge / discharge types can be determined based on charge / discharge conditions. For example, the storage time and self-heating temperature of the battery under different storage types (storage temperature and / or state of charge) from different health states / initial health states to various specified health states are tested. And the number of cycles and self-generating heat temperature for aging from different health states / initial health states to various specified health states under different charge and discharge types. After collecting multi-dimensional and multi-group experimental data, the data were organized and analyzed to construct the correspondence between the decay path and the self-generated heat temperature. Indicates the self-generated heat temperature corresponding to the storage type. This indicates the self-generated heat temperature corresponding to the charge / discharge type. In this application embodiment, no charge / discharge operation is performed during experimental testing of the storage type.

[0047] In this embodiment, a mapping model or a mapping database can be constructed based on the correspondence. The mapping database includes data related to storage type, storage time, health status (health status before aging and health status after aging), and self-generating heat temperature, stored according to the correspondence; and data related to charge / discharge type, cycle count, health status, and self-generating heat temperature, stored according to the correspondence. All the related data obtained from the above experiments can be stored in the mapping database to achieve systematic data management and rapid retrieval. The mapping model can be a function model or a machine learning model. The input of the mapping model is the health status (health status before aging and health status after aging) and related parameters of the decay path. The related parameters of the decay path specifically include storage type, storage time, charge / discharge type, and cycle count. The output is the self-generating heat temperature corresponding to the health status after aging.

[0048] As an example, with a baseline health state of 100% SOC, aging tests are conducted based on this baseline health state, and the mapping model can include... , , .in, Indicates storage time. Indicates the storage type. This refers to health status, including health status before and after aging. Indicates the decay path corresponding to the storage type and The mapping function, obtained by fitting experimental data, is used to calculate the self-generated heat temperature of the battery when it ages to a specified SOH, under the influence of the degradation path corresponding to the storage type only. Indicates the number of loops. Indicates the charge / discharge type. Indicates the attenuation path corresponding to the charge / discharge type and The mapping function, obtained by fitting experimental data, is used to calculate the self-heating temperature of the battery when it ages to a specified SOH, under the influence of the decay path corresponding to the charge / discharge type only. Indicates the self-generated heat temperature corresponding to the storage type. This indicates the self-generated heat temperature corresponding to the charge / discharge type. This represents the self-generating heat temperature corresponding to the baseline health state, also known as the baseline temperature. This indicates the self-generating temperature corresponding to a healthy state after aging. This indicates the amount of temperature change relative to the reference temperature.

[0049] Sa3: Determine the temperature change of the target battery from the baseline health state to the current health state based on the corresponding relationship and the target degradation path.

[0050] In this embodiment, a battery management system (BMS) can be used to record historical operating data of the target battery. The BMS is a core system for real-time monitoring, data recording, and management of battery status. Historical operating data includes: the target battery's state of charge (SOC) change curve, storage temperature curve, total storage time, charging rate, depth of discharge, number of charge / discharge cycles, and health status change data. Target historical operating data for the time period (e.g., one year) from the baseline health state to the current health state can be obtained from the historical operating data. This target historical operating data is used to determine the target degradation path. Specifically, determining the target degradation path based on the target historical operating data includes: extracting all SOC-storage temperature combinations experienced by the target battery during the period from the baseline health state to the current health state, determining the cumulative storage time corresponding to each combination, and thus obtaining all target storage types and their corresponding target storage times. Simultaneously, extracting all charging rate-depth of discharge combinations experienced by the target battery during this period, and counting the number of complete charge / discharge cycles corresponding to each combination, and thus obtaining all target charge / discharge types and their corresponding target cycle counts, thereby obtaining the target degradation path of the target battery.

[0051] Sa4: Determine the current self-generated heat temperature based on the difference between the reference temperature and the temperature change.

[0052] In this embodiment, as the battery ages, its thermal stability gradually decreases, and its self-generated heat temperature shows a decreasing trend. Therefore, by subtracting the temperature change from the reference temperature, the self-generated heat temperature of the target battery under its current health state and corresponding target degradation path can be accurately calculated. Current self-generated heat temperature .

[0053] In this application, relevant parameters of the target degradation path, namely target storage type, target storage time, target charge / discharge type, target cycle count, and baseline and current health states, can be input into the mapping model to calculate the change in self-generated heat temperature of the target battery as it ages from the baseline health state to the current health state, thereby calculating the current self-generated heat temperature. Alternatively, based on the mapping database, the corresponding self-generated heat temperature can be retrieved by matching the relevant parameters of the baseline health state, current health state, and target degradation path, and the temperature change and current self-generated heat temperature can be calculated.

[0054] The method provided in this application defines the self-generated heat temperature under a baseline healthy state as the baseline temperature. Based on the correspondence between the decay path and the self-generated heat temperature, and combined with the target decay path, the temperature change of the baseline temperature is determined. The difference between the baseline temperature and the temperature change is used as the current self-generated heat temperature. This establishes a quantitative calculation logic for the self-generated heat temperature from the baseline healthy state to the current healthy state, providing a clear numerical reference for determining the current self-generated heat temperature and avoiding ambiguous judgments. By quantifying the impact of different decay paths on the self-generated heat temperature through temperature change, the method accurately reflects the changes in thermal stability during battery aging, making the obtained current self-generated heat temperature more consistent with the actual state of the battery. This lays a data foundation for the accurate setting of the upper limit temperature for subsequent thermal management and improves the quantitative accuracy of the entire thermal management strategy.

[0055] In one alternative implementation, Sa3 determines the amount of temperature change, including Sb1 to Sb4, of the target battery aging from a baseline healthy state to its current healthy state based on the correspondence and the target degradation path.

[0056] Sb1: Obtain from the correspondence the first correspondence between storage type, storage time and self-generated heat temperature under the action of a single storage type during the aging process from the baseline health state to the current health state, and the second correspondence between charge / discharge type, cycle number and self-generated heat temperature under the action of a single charge / discharge type.

[0057] In this embodiment of the application, data is filtered and extracted from the pre-constructed correspondence between attenuation paths and self-generated heat temperatures based on the baseline health state and the current health state to obtain the correspondence for a single storage type and a single charge / discharge type within the aging stage, namely the first correspondence and the second correspondence. This enables separate analysis of the impact of different attenuation paths and avoids mutual interference between the impacts of different types of attenuation paths.

[0058] For example, during the aging process from a baseline health state to the current health state, the first correspondence includes: {storage type a1, storage time b1, self-generated heat temperature c1}, {storage type a2, storage time b2, self-generated heat temperature c2}, {storage type a3, storage time b3, self-generated heat temperature c3}, etc. During the aging process from a baseline health state to the current health state, the second correspondence includes: {charge / discharge type d1, cycle count e1, self-generated heat temperature f1}, {charge / discharge type d2, cycle count e2, self-generated heat temperature f2}, {charge / discharge type d2, cycle count e2, self-generated heat temperature f2}.

[0059] Sb2: Determine the first temperature change corresponding to the target storage type based on the first correspondence.

[0060] In an embodiment of this application, as an example, for a single target storage type, the ratio of the target storage time to the storage time in the first correspondence is equal to the ratio of the first temperature change to the difference between the reference temperature and the self-generating heat temperature in the first correspondence.

[0061] Sb3: Determine the second temperature change corresponding to the target charge / discharge type based on the second correspondence.

[0062] In an embodiment of this application, as an example, for a single target charge / discharge type, the ratio of the target number of cycles to the number of cycles in the second correspondence is equal to the ratio of the difference between the second temperature change and the reference temperature and the self-generated heat temperature in the second correspondence.

[0063] Sb4: The temperature change that is the sum of the first and second temperature changes, which is taken as the reference temperature.

[0064] The method provided in this application determines the first temperature change for each target storage type and the second temperature change for each target charge / discharge type based on a correspondence. The temperature change is then summed to obtain the temperature change at a reference temperature, enabling a refined breakdown and quantitative analysis of the degradation path. By calculating and combining the effects of storage type and charge / discharge type on battery health separately, the resulting temperature change comprehensively and accurately reflects the overall impact of the target degradation path on the self-generated heat temperature, further improving the accuracy of the current self-generated heat temperature calculation.

[0065] In one alternative implementation, Sb2 determines the first temperature change amount corresponding to the target storage type, including Sc1 to Sc3, based on a first correspondence.

[0066] Sc1: Based on the first correspondence, obtain the storage time and self-generated heat temperature corresponding to each target storage type.

[0067] In this embodiment of the application, as an example, the target storage type is storage type a1 (e.g., state of charge (SOC) = 100%, storage temperature is 40°C), storage type a2 (e.g., state of charge (SOC) = 90%, storage temperature is 50°C), storage time corresponding to storage type a1 is b1, self-generated heat temperature is c1, storage time corresponding to storage type a2 is b2, and self-generated heat temperature is c2.

[0068] Sc2: Determine the first sub-temperature change for each target storage type based on the target storage time, the storage time corresponding to each target storage type, and the self-generated heat temperature.

[0069] In this embodiment of the application, as an example, the target storage type is storage type a1, storage type a2, the target storage time corresponding to storage type a1 is x1, and the target storage time corresponding to storage type a2 is x2. The first sub-temperature change corresponding to storage type a1 = x1*(T) h0 -c1) / b1, the first sub-temperature change corresponding to storage type a2 = x2*(T) h0 -c2) / b2,T h0 Indicates the reference temperature.

[0070] Sc3: The sum of the first sub-temperature changes corresponding to each target storage type is taken as the first temperature change.

[0071] In this embodiment of the application, the first temperature change is x1*(T) h0 -c1) / b1+x2*(T h0 -c2) / b2. The self-generated heat temperature corresponding to the target storage type in the target decay path is the difference between the reference temperature and the change in the first temperature, i.e. .

[0072] The method provided in this application embodiment obtains the storage time and self-heating temperature of each target storage type according to the first correspondence relationship, determines the first sub-temperature change of each target storage type in combination with the target storage time, and sums them to obtain the first temperature change. This fully reflects the differentiated impact of different storage types and different storage times on the battery's self-heating temperature, making the calculation of the first temperature change more consistent with the actual storage aging process of the battery.

[0073] In one alternative implementation, Sb3 determines the second temperature change corresponding to the target charge / discharge type, including Sd1 to Sd3, based on a second correspondence.

[0074] Sd1: Based on the second correspondence, obtain the cycle number and self-generated heat temperature corresponding to each target charge / discharge type.

[0075] In this embodiment of the application, as an example, the target charge / discharge type is charge / discharge type d1 (such as regular charging) and charge / discharge type d2 (such as fast charging). The number of cycles corresponding to charge / discharge type d1 is e1 and the self-generated heat temperature is f1. The number of cycles corresponding to charge / discharge type d2 is e2 and the self-generated heat temperature is f2.

[0076] Sd2: Determine the second sub-temperature change corresponding to each target charge / discharge type based on the target cycle number, the cycle number corresponding to each target charge / discharge type, and the self-generated heat temperature.

[0077] In this embodiment of the application, as an example, the target charge / discharge types are charge / discharge type d1 and charge / discharge type d2. The target number of cycles corresponding to charge / discharge type d1 is y1, and the target number of cycles corresponding to charge / discharge type d2 is y2. The second sub-temperature change corresponding to charge / discharge type d1 is = y1 * (T h0 -f1) / e1, the second sub-temperature change corresponding to charge / discharge type d2 = y2*(T h0 -f2) / e2.

[0078] Sd3: The sum of the second sub-temperature changes corresponding to each target charge / discharge type is taken as the second temperature change.

[0079] In this embodiment of the application, the second temperature change is y1*(T) h0 -f1) / e1+y2*(T h0 -f2) / e2. The self-generated heat temperature corresponding to the target charge / discharge type in the target decay path is the difference between the reference temperature and the second temperature change, i.e. .

[0080] The method provided in this application embodiment obtains the cycle number and self-generated heat temperature of each target charge-discharge type according to the second correspondence relationship, determines the second sub-temperature change of each target charge-discharge type in combination with the target cycle number, and sums them to obtain the second temperature change. The corresponding second sub-temperature change is calculated in combination with the target cycle number of each target charge-discharge type, so that the influence of charge-discharge type and cycle number can be accurately reflected in the temperature change, fully reflecting the differentiated influence of different charge-discharge types and different cycle numbers on the battery's self-generated heat temperature, and making the calculation of the second temperature change more consistent with the actual cycle aging process of the battery.

[0081] In one optional implementation, S104 adjusts the operating state of the thermal management system of the target battery according to the upper limit temperature of thermal management, including: Calculate the cooling start-up temperature and cooling stop-down temperature of the thermal management system based on the upper limit temperature of the thermal management system.

[0082] In this embodiment, the cooling start temperature is greater than the cooling stop temperature.

[0083] In this embodiment, the cooling start-up temperature can be the thermal management upper limit temperature minus a first preset temperature value, and the cooling exit temperature can be the thermal management upper limit temperature minus a second preset temperature value, where the second preset temperature value is greater than the first preset temperature value. Simultaneously, the cooling exit temperature can be set to be no greater than a fixed temperature threshold to ensure the basic cooling effect of thermal management. As the battery's health status declines, the thermal management upper limit temperature gradually decreases, and the cooling start-up temperature and cooling exit temperature are adjusted accordingly, achieving dynamic temperature control throughout the entire lifecycle. The first preset temperature value, the second preset temperature value, and the fixed temperature threshold can all be set and modified according to actual needs. For example, the cooling start-up temperature... Cooling exit temperature . This indicates the upper limit temperature for thermal management. 5℃ represents the first preset temperature value, 15℃ represents the second preset temperature value, and 30℃ represents the fixed temperature threshold.

[0084] Obtain the highest temperature of the target battery cell.

[0085] In this embodiment, multiple temperature sensors deployed within the battery pack collect real-time temperature data from each cell. The collected cell temperature data is then filtered and the maximum value is extracted in real-time to obtain the highest temperature of the target cell. Using this highest temperature as the basis for thermal management control allows for precise control of the highest thermal risk points within the battery, preventing safety issues caused by localized cell overheating.

[0086] When the highest temperature is greater than or equal to the cooling start temperature, the thermal management system will be switched to the on state.

[0087] In this embodiment, when the highest temperature is greater than or equal to the cooling start temperature, it indicates that the battery temperature is close to the upper limit temperature of thermal management. At this time, the thermal management system is activated, and the thermal management system cools the target battery through liquid cooling, direct cooling, or other methods to suppress the continuous rise in battery temperature and ensure that the battery temperature does not exceed the upper limit temperature of thermal management.

[0088] Alternatively, when the maximum temperature is less than or equal to the cooling exit temperature, the thermal management system can be switched to the off state.

[0089] In this embodiment, when the highest temperature is less than or equal to the cooling exit temperature, it indicates that the battery temperature is within a safe range. At this time, the thermal management system is shut down, the cooling operation is stopped, the ineffective operation of the thermal management system is avoided, and the thermal management energy consumption is reduced.

[0090] Alternatively, the thermal management system can be maintained in operation when the highest temperature is greater than the cooling exit temperature but less than the cooling start temperature.

[0091] In this embodiment, when the highest temperature is greater than the cooling exit temperature but less than the cooling start temperature, it indicates that the battery temperature is in a safe state and no additional cooling is required. At this time, the current working state of the thermal management system is maintained. If the thermal management system is in the on state, it is maintained in the on state; if the thermal management system is in the off state, it is maintained in the off state. This avoids frequent start-stop of the thermal management system, improves the system's service life, and ensures the stability of temperature control.

[0092] In this embodiment of the application, the cooling start-up temperature The system dynamically adjusts its temperature according to changes in the battery's health status throughout its entire lifecycle, for example, gradually reducing the temperature from 65°C to 45°C, achieving precise adaptation between the thermal management strategy and the battery's health status. During high battery health stages, such as when SOH=100%, the cooling start-up temperature... Maintaining a higher value effectively reduces the operating time and energy consumption of the thermal management system. For example, under 3C current charging from 10% to 80%, with a thermal management cooling power of 6kW, it only needs to be turned on for 2 minutes, consuming only 0.2kWh of energy. In contrast, conventional solutions use fixed cooling start and stop temperatures (e.g., 45℃ and 30℃) without adaptive adjustment. Under the same conditions, the thermal management system needs to be turned on for 8 minutes, consuming 0.8kWh of energy. The energy reduction effect of this application's solution is significant. Furthermore, this application's embodiment can also synchronously adjust the inlet water temperature of the thermal management system based on the current health status of the target battery. When the battery is in a high health state, a higher inlet water temperature can be set, eliminating the need for cooling with low-temperature water, further reducing the energy consumption of the thermal management system, and achieving energy optimization while ensuring battery thermal safety.

[0093] As an example, inlet water temperature ,in, Water temperature regulation coefficient ( The base water temperature is the reference water temperature of the cooling medium in the thermal management system (e.g., 25°C). This is the minimum upper limit temperature for thermal management throughout the battery's entire lifespan (e.g., 40°C). Alternatively, you can directly press... Stepped setting of inlet water temperature, for example hour, . hour, . hour, And the inlet water temperature The water temperature should never be lower than the minimum operating temperature of the thermal management system, nor higher than the current temperature. This is to avoid the cooling effect being affected by excessively high water temperature.

[0094] The method provided in this application calculates the cooling start-up temperature and cooling exit temperature based on the upper limit temperature of thermal management. Using the highest cell temperature as the monitoring basis, it precisely regulates the operating state of the thermal management system under different temperature conditions, establishing a start-up and shutdown judgment standard for the thermal management system based on temperature thresholds. This ensures that the start-up, shutdown, and maintenance of the thermal management system have clear temperature trigger conditions, avoiding arbitrary start-up and shutdown, and achieving refined temperature control of the thermal management system. Simultaneously, using the highest cell temperature as a monitoring indicator, it accurately controls the highest thermal risk points inside the battery, ensuring battery thermal safety, effectively reducing system operating time, further reducing thermal management energy consumption, and ensuring a high degree of matching between the operating state of the thermal management system and the actual temperature state of the battery.

[0095] Traditional approaches attempt to refine the self-heating temperature based on the state of charge (SOC) or state of health (SOH) to achieve more precise thermal management. For example, experimentally obtaining characteristic parameters of battery thermal runaway under different SOH levels enables multi-level early warning, or setting thermal management temperature boundaries based on the self-heating initiation temperature under different SOC levels achieves dynamic thermal management. However, battery lifespan degradation is caused by both cyclic use and static storage. Even with the same SOH, different degradation paths lead to different aging mechanisms of the battery's internal materials, resulting in differences in thermal stability (i.e., self-heating temperature). This application considers the impact of different degradation paths on the self-heating temperature, improving the effectiveness of thermal management strategies at different stages of battery life.

[0096] This embodiment also provides a battery thermal management device for implementing the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0097] Figure 2 This is a structural block diagram of a battery thermal management device according to an embodiment of this application.

[0098] This embodiment provides a thermal management device for a battery, such as... Figure 2 As shown, the thermal management device for the battery includes: The first processing module 11 is used to acquire the current health state of the target battery, and the target degradation path of the target battery aging from the baseline health state to the current health state. The target degradation path is used to characterize the dynamic change law of the target battery's health state gradually declining during the aging process.

[0099] The second processing module 12 is used to determine the current self-generated heat temperature of the target battery when it is in its current healthy state based on the target decay path.

[0100] The third processing module 13 is used to determine the upper limit temperature for thermal management of the target battery based on the current self-generated heat temperature.

[0101] The fourth processing module 14 is used to adjust the operating status of the thermal management system of the target battery according to the upper limit temperature of thermal management.

[0102] In one optional implementation, the second processing module 12 includes: The first processing unit is used to determine the self-generated heat temperature of the target battery when it is in a reference healthy state as the reference temperature.

[0103] The second processing unit is used to obtain the correspondence between the decay path and the self-generated heat temperature.

[0104] The third processing unit is used to determine the temperature change of the target battery from the baseline health state to the current health state based on the correspondence and the target degradation path.

[0105] The fourth processing unit is used to determine the current self-generated heat temperature based on the difference between the reference temperature and the temperature change.

[0106] In an optional implementation, when the target degradation path includes: at least one target storage type and the target storage time corresponding to each target storage type during the aging process of the target battery from a baseline health state to the current health state, and at least one target charge / discharge type and the target number of cycles corresponding to each target charge / discharge type, the third processing unit includes: The first processing subunit is used to obtain from the correspondence the first correspondence between storage type, storage time and self-generated heat temperature under the action of a single storage type during the aging process from the baseline health state to the current health state, and the second correspondence between charge / discharge type, cycle number and self-generated heat temperature under the action of a single charge / discharge type.

[0107] The second processing subunit is used to determine the first temperature change corresponding to the target storage type based on the first correspondence.

[0108] The third processing subunit is used to determine the second temperature change corresponding to the target charge / discharge type based on the second correspondence.

[0109] The fourth processing subunit is used to take the sum of the first temperature change and the second temperature change as the temperature change of the reference temperature.

[0110] In one optional implementation, the second processing subunit is specifically used to obtain the storage time and self-generated heat temperature corresponding to each target storage type according to the first correspondence.

[0111] The first sub-temperature change for each target storage type is determined based on the target storage time, the storage time corresponding to each target storage type, and the self-generated heat temperature.

[0112] The sum of the first sub-temperature changes corresponding to each target storage type is taken as the first temperature change.

[0113] In one optional implementation, the third processing subunit is specifically used to obtain the number of cycles and self-generated heat temperature corresponding to each target charge-discharge type according to the second correspondence.

[0114] The second sub-temperature change corresponding to each target charge / discharge type is determined based on the target cycle number, the cycle number corresponding to each target charge / discharge type, and the self-generated heat temperature.

[0115] The sum of the second sub-temperature changes corresponding to each target charge / discharge type is taken as the second temperature change.

[0116] In one optional implementation, the fourth processing module 14 is specifically used to calculate the cooling start temperature and cooling stop temperature of the thermal management system based on the upper limit temperature of the thermal management system. The cooling start temperature is greater than the cooling stop temperature.

[0117] Obtain the highest temperature of the target battery cell.

[0118] When the highest temperature is greater than or equal to the cooling start temperature, the thermal management system will be switched to the on state.

[0119] Alternatively, when the maximum temperature is less than or equal to the cooling exit temperature, the thermal management system can be switched to the off state.

[0120] Alternatively, the thermal management system can be maintained in operation when the highest temperature is greater than the cooling exit temperature but less than the cooling start temperature.

[0121] In one alternative implementation, the third processing module 13 is specifically used to use the difference between the current self-generated heat temperature and the preset margin temperature as the upper limit temperature for thermal management.

[0122] In this embodiment, the battery thermal management device is presented in the form of a functional unit. Here, a unit refers to an ASIC circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above-mentioned functions.

[0123] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0124] This application embodiment also provides an electrical device having the above-described features. Figure 2 The thermal management device for the battery shown.

[0125] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an electrical device provided in an optional embodiment of this application, such as... Figure 3 As shown, the electrical device may include a processor (e.g., a central processing unit, a graphics processing unit, etc.) 201, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 202 or a program loaded from memory 208 into random access memory (RAM) 203. The RAM 203 also stores various programs and data required for the operation of the electrical device. The processor 201, ROM 202, and RAM 203 are interconnected via bus 204. An input / output (I / O) interface 205 is also connected to bus 204.

[0126] Typically, the following devices can be connected to I / O interface 205: input devices 206 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 207 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 208 including, for example, magnetic tapes, hard disks, etc.; and communication devices 209. Communication device 209 allows the device to communicate wirelessly or wiredly with other devices to exchange data. Although... Figure 3 Electrical equipment with various devices is shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0127] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication device 209, or installed from memory 208, or installed from ROM 202. When the computer program is executed by processor 201, it performs the functions defined in the battery thermal management method of embodiments of this application.

[0128] Figure 3 The electrical equipment shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of this application.

[0129] This application also provides an electrical device, which includes the resource allocation device or electrical device described above, to implement the battery thermal management method of the example described above.

[0130] This application also provides a computer-readable storage medium. The methods described in this application can be implemented in hardware or firmware, or implemented as recordable on a storage medium, or implemented as computer code downloaded over a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc. Further, the storage medium may also include combinations of the above types of memory. It is understood that computers, processors, microprocessors, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the battery thermal management method shown in the above embodiments is implemented.

[0131] A portion of this application can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to this application through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0132] Although embodiments of this application have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of this application, and all such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A thermal management method for a battery, characterized in that, The method includes: The current health status of the target battery is obtained, as well as the target degradation path of the target battery aging from the baseline health status to the current health status; the target degradation path is used to characterize the dynamic change law of the gradual decline of the health status of the target battery during the aging process. Determine the current self-generated heat temperature of the target battery when it is in the current healthy state based on the target decay path; The upper limit temperature for thermal management of the target battery is determined based on the current self-generated heat temperature. The operating state of the thermal management system of the target battery is adjusted according to the upper limit temperature of thermal management.

2. The method according to claim 1, characterized in that, The target degradation path includes: at least one target storage type and a target storage time corresponding to each target storage type during the aging process of the target battery from a baseline health state to the current health state; and at least one target charge / discharge type and a target cycle number corresponding to each target charge / discharge type; determining the current self-generated heat temperature of the target battery in the current health state according to the target degradation path includes: The self-generated heat temperature of the target battery when it is in the baseline healthy state is determined as the baseline temperature. Obtain the correspondence between the decay path and the self-generated heat temperature; The temperature change of the target battery from a baseline healthy state to its current healthy state is determined based on the correspondence and the target degradation path. The current self-generated heat temperature is determined based on the difference between the reference temperature and the temperature change.

3. The method according to claim 2, characterized in that, The step of determining the temperature change of the target battery from a baseline health state to its current health state based on the correspondence and the target degradation path includes: From the correspondence, obtain the first correspondence between storage type, storage time and self-generated heat temperature under the action of a single storage type during the aging process from the baseline health state to the current health state, and the second correspondence between charge / discharge type, cycle number and self-generated heat temperature under the action of a single charge / discharge type; The first temperature change corresponding to the target storage type is determined based on the first correspondence. The second temperature change corresponding to the target charge / discharge type is determined based on the second correspondence. The sum of the first temperature change and the second temperature change is taken as the temperature change of the reference temperature.

4. The method according to claim 3, characterized in that, Determining the first temperature change corresponding to the target storage type based on the first correspondence includes: Based on the first correspondence, the storage time and self-generated heat temperature corresponding to each target storage type are obtained respectively; The first sub-temperature change amount corresponding to each target storage type is determined based on the target storage time, the storage time corresponding to each target storage type, and the self-generated heat temperature. The sum of the first sub-temperature changes corresponding to each target storage type is taken as the first temperature change.

5. The method according to claim 3, characterized in that, The step of determining the second temperature change corresponding to the target charge / discharge type based on the second correspondence includes: Based on the second correspondence, the number of cycles and self-generated heat temperature corresponding to each target charge / discharge type are obtained respectively; The second sub-temperature change corresponding to each target charge-discharge type is determined based on the target number of cycles, the number of cycles corresponding to each target charge-discharge type, and the self-generated heat temperature. The sum of the second sub-temperature changes corresponding to each target charge / discharge type is taken as the second temperature change.

6. The method according to claim 1, characterized in that, The adjustment of the operating state of the thermal management system of the target battery according to the upper limit temperature of thermal management includes: The cooling start temperature and cooling stop temperature of the thermal management system are calculated based on the upper limit temperature of the thermal management system; the cooling start temperature is greater than the cooling stop temperature. Obtain the highest temperature of the battery cell inside the target battery; When the highest temperature is greater than or equal to the cooling start temperature, the operating state of the thermal management system is adjusted to the on state; or, When the highest temperature is less than or equal to the cooling exit temperature, the operating state of the thermal management system is adjusted to the off state; or, The thermal management system is maintained in operation when the highest temperature is greater than the cooling exit temperature but less than the cooling start temperature.

7. The method according to claim 1, characterized in that, Determining the upper limit temperature for thermal management of the target battery based on the current self-generated heat temperature includes: The difference between the current self-generated heat temperature and the preset margin temperature is used as the upper limit temperature for thermal management.

8. A thermal management device for a battery, characterized in that, The device includes: The first processing module is used to obtain the current health status of the target battery and the target degradation path of the target battery aging from the baseline health status to the current health status; the target degradation path is used to characterize the dynamic change law of the target battery's health status gradually decreasing during the aging process. The second processing module is used to determine the current self-generated heat temperature of the target battery when it is in the current healthy state, based on the target decay path. The third processing module is used to determine the upper limit temperature for thermal management of the target battery based on the current self-generated heat temperature. The fourth processing module is used to adjust the operating state of the thermal management system of the target battery according to the upper limit temperature of the thermal management system.

9. An electrical appliance, characterized in that, include: A memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, the processor executing the computer instructions to perform the method of any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to perform the method of any one of claims 1 to 7.

Images