Battery pack temperature control optimization method and platform based on thermal equilibrium regulation

Abstract

The application discloses a battery pack temperature control optimization method and platform based on thermal balance regulation, and relates to the technical field of battery temperature control. The method comprises the following steps: obtaining regional temperature state data and regional environment state data by performing multi-region state sensing during the operation of a target battery pack; extracting regional thermal feature data; performing thermal balance demand analysis to determine regional thermal balance benchmark demand; performing environment adaptability correction to determine regional thermal balance regulation demand; performing differentiated temperature control regulation based on regional thermal feature differences for the target battery pack to generate regional temperature control regulation instructions; and performing thermal balance feedback correction during the temperature control regulation process of the target battery pack until the updated regional thermal balance regulation demand meets the thermal balance judgment condition. The technical problems of uneven regional temperature distribution and poor temperature control uniformity of the battery pack in the prior art are solved, and the technical effects of reducing the regional temperature difference of the battery pack and improving the thermal balance regulation accuracy and temperature control stability are achieved.

Description

Technical Field

[0001] This invention relates to the field of battery temperature control technology, and more specifically to a battery pack temperature control optimization method and platform based on thermal equilibrium adjustment. Background Technology

[0002] With the rapid development of new energy vehicles and energy storage systems, the thermal safety and temperature consistency of battery packs under high-rate charging and discharging, continuous operation, and complex environmental conditions are becoming increasingly prominent issues. Due to differences in the spatial location, heat dissipation conditions, and heat generation levels of different cells within the battery pack, significant regional temperature differences can easily arise during actual operation, potentially leading to heat accumulation or lag in temperature changes in some areas. Existing battery pack temperature control methods typically control cooling or heating devices uniformly based on the overall battery pack temperature, maximum temperature, or average temperature. However, the adjustment parameters of these methods are insufficient to fully reflect the actual thermal state differences between different areas. Furthermore, changes in ambient temperature and local heat exchange conditions further affect the temperature control response in different areas. Therefore, when the thermal state of the battery pack is unevenly distributed, traditional uniform temperature control methods are prone to under-regulation in some areas and over-regulation in others, failing to promptly reduce temperature differences between areas and thus affecting the overall temperature consistency and temperature control stability of the battery pack. Summary of the Invention

[0003] This application provides a battery pack temperature control optimization method and platform based on thermal balance adjustment, which solves the technical problem in the prior art that it is difficult to perform targeted temperature control adjustment when there are differences in the thermal state of different areas of the battery pack, resulting in large local temperature deviations and insufficient overall thermal balance.

[0004] The first aspect of this application provides a battery pack temperature control optimization method based on thermal equilibrium regulation, the method comprising: During the operation of the target battery pack, multi-regional state sensing is performed to obtain regional temperature state data and regional environmental state data. Using the spatial region division results of the target battery pack as the thermal state analysis benchmark, spatiotemporal correlation analysis of the regional temperature state data is performed to extract regional thermal characteristic data. Based on the regional thermal characteristic data, thermal balance demand analysis based on regional thermal state differences is conducted to determine the regional thermal balance benchmark demand. Environmental adaptability correction of the regional thermal balance benchmark demand is performed using the regional environmental state data to determine the regional thermal balance adjustment demand. Based on the regional thermal balance adjustment demand, differentiated temperature control adjustment of the target battery pack is performed based on regional thermal characteristic differences, generating regional temperature control adjustment commands. During the temperature control adjustment of the target battery pack using the regional temperature control adjustment commands, thermal balance feedback correction is performed based on regional temperature increment data until the updated regional thermal balance adjustment demand meets the thermal balance judgment conditions.

[0005] A second aspect of this application provides a battery pack temperature control optimization platform based on thermal equilibrium regulation, the platform comprising: The system comprises the following modules: **Regional State Sensing Module:** This module performs multi-regional state sensing during the operation of the target battery pack, obtaining regional temperature and environmental state data. **Feature Extraction Module:** Using the spatial region division of the target battery pack as a thermal state analysis benchmark, it performs spatiotemporal correlation analysis of the regional temperature state data to extract regional thermal feature data. **Demand Analysis Module:** Based on the regional thermal feature data, it performs thermal equilibrium demand analysis based on regional thermal state differences to determine regional thermal equilibrium benchmark demands. **Environmental Correction Module:** Using the regional environmental state data, it performs environmental adaptability correction on the regional thermal equilibrium benchmark demands to determine regional thermal equilibrium adjustment demands. **Temperature Control Adjustment Module:** Based on the regional thermal equilibrium adjustment demands, it performs differentiated temperature control adjustment on the target battery pack based on regional thermal feature differences, generating regional temperature control adjustment commands. **Feedback Correction Module:** During the temperature control adjustment of the target battery pack using the regional temperature control adjustment commands, it performs thermal equilibrium feedback correction based on regional temperature increment data until the updated regional thermal equilibrium adjustment demands meet the thermal equilibrium judgment conditions.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: During the operation of the target battery pack, multi-regional state sensing is performed to obtain regional temperature and environmental state data. Next, using the spatial region division of the target battery pack as the thermal state analysis benchmark, spatiotemporal correlation analysis of the regional temperature state data is conducted to extract regional thermal characteristic data. Based on the regional thermal characteristic data, a thermal equilibrium demand analysis based on regional thermal state differences is performed to determine the regional thermal equilibrium benchmark demand. Then, environmental adaptability corrections to the regional thermal equilibrium benchmark demand are performed using regional environmental state data to determine the regional thermal equilibrium adjustment demand. Further, based on the regional thermal equilibrium adjustment demand, differentiated temperature control adjustments are performed on the target battery pack according to regional thermal characteristic differences, generating regional temperature control adjustment commands. Finally, during the temperature control adjustment of the target battery pack using the regional temperature control adjustment commands, thermal equilibrium feedback corrections are performed based on regional temperature increment data until the updated regional thermal equilibrium adjustment demand meets the thermal equilibrium judgment conditions. This invention solves the technical problem in existing technologies where it is difficult to perform targeted temperature control when there are differences in the thermal state of different areas of the battery pack, resulting in large local temperature deviations and insufficient overall thermal uniformity. It achieves the technical effect of improving the targeting and adaptability of temperature control in different areas of the battery pack, reducing temperature differences between areas, and improving the thermal uniformity and temperature control stability of the battery pack. Attached Figure Description

[0007] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0008] Figure 1 A schematic flowchart of a battery pack temperature control optimization method based on thermal equilibrium adjustment provided in an embodiment of this application; Figure 2 This is a schematic diagram of the target battery pack installation scenario provided in the embodiments of this application; Figure 3 This is a schematic diagram of the spatial division of the target battery pack provided in an embodiment of this application; Figure 4 This is a schematic diagram of the battery pack temperature control optimization platform structure based on thermal equilibrium adjustment provided in an embodiment of this application.

[0009] Figure labeling: Area state perception module 11, feature extraction module 12, demand analysis module 13, environment correction module 14, temperature control module 15, feedback correction module 16. Detailed Implementation

[0010] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0011] Example 1, as Figure 1 As shown, this application provides a battery pack temperature control optimization method based on thermal equilibrium adjustment, wherein the method includes: During the operation of the target battery pack, multi-regional status sensing is performed to obtain regional temperature status data and regional environmental status data.

[0012] In this embodiment, after the target battery pack enters the charging, discharging, or standby operation state, a pre-deployed regional temperature sensing network and regional environmental sensing network are activated. The regional temperature sensing network includes patch-type temperature sensors deployed on the surface of corresponding cells, module connection locations, or representative temperature measurement locations in each region according to the spatial region division of the target battery pack. The regional environmental sensing network includes environmental status sensors deployed on the air inlet side, air outlet side, outer perimeter of the casing, or other preset environmental sensing areas of the target battery pack. These environmental status sensors are used to collect at least the ambient temperature and can simultaneously collect ambient humidity, cooling medium temperature, or local airflow status according to the actual temperature control method. A unified communication protocol is used to send synchronous sampling commands to each sensing node, enabling each temperature sensor and environmental status sensor to continuously sample according to the same sampling period. A collection timestamp, sensor number, and corresponding region number are written to each sampled data to obtain regional temperature and regional environmental data. The collected data undergoes outlier removal, short-term fluctuation filtering, and missing value verification in sequence. Data exceeding the effective measurement range of the corresponding sensor is identified as outlier and removed. A moving average of multiple consecutive effective sampled values ​​is used to suppress instantaneous sampling. The sampling process involves several steps. First, based on the spatial correspondence between cells, modules, cooling channels, and temperature sensors recorded in the structural design information, each temperature sample value is mapped to its corresponding spatial region. Multiple temperature sample values ​​within the same region are aggregated according to sampling time. The current temperature, average temperature, highest temperature, lowest temperature, and temperature change at adjacent sampling times are calculated for each region. Furthermore, the temperature changes of adjacent regions at the same sampling time are used to establish a thermal propagation correlation between regions, thus forming regional temperature state data organized according to "region number - sampling time - temperature state parameters." Next, using the region number and sampling time in each region's temperature state data as an index, a mapping is established between the ambient temperature, ambient humidity, cooling medium temperature, or local airflow state acquired within the corresponding environmental sensing area and the corresponding battery pack spatial region. The corresponding region for the environmental data is determined based on the distance relationship, airflow relationship, or cooling medium flow direction relationship between the environmental sensing area and the battery pack spatial region. Environmental data collected at the same time are aggregated to form regional environmental state data characterizing the external heat exchange conditions of each battery pack region, thereby obtaining the regional temperature state data and regional environmental state data required for subsequent regional thermal characteristic analysis.

[0013] Furthermore, it also includes: Based on the product code of the target battery pack, structural design information is retrieved from the design information database; according to the structural design information, the spatial area of ​​the target battery pack is divided, and the area division result is determined; using the area division result as the temperature sensing deployment benchmark, patch-type temperature sensors are deployed to complete the deployment of the regional temperature sensing network; based on the installation scenario of the target battery pack, the environmental area is divided, and the environmental sensing area is located; using the environmental sensing area as the environmental sensing deployment benchmark, environmental state sensors are deployed to complete the deployment of the regional environmental sensing network, wherein the regional temperature sensing network and the regional environmental sensing network use a unified communication protocol for synchronous communication.

[0014] Before the target battery pack is put into operation, the product code set in the battery pack nameplate, controller, or battery management system is read, and the product code is used as a unique retrieval identifier to query the structural design information corresponding to the target battery pack in a pre-established design information database. The structural design information includes at least the battery pack shell dimensions, cell and module arrangement positions, module spacing, cooling channel positions, air inlet and outlet or cooling medium inlet and outlet positions, and battery pack installation direction. Based on the structural design information, the spatial coordinate relationship of the target battery pack is established, and the battery module boundaries, cooling channel range, and heat exchange relationship between adjacent areas are used as the basis for calculation. As a basis for regional division, the target battery pack is divided into multiple interconnected spatial regions with independent region numbers. For example, according to the correspondence of battery modules, the space where each battery module is located is determined as a basic region. For regions within the same module that have significant positional differences along the cooling medium flow direction, further subdivisions are made according to the cooling medium inlet side, middle, and outlet side, thus obtaining the regional division results. For each spatial region, a surface-mount temperature sensor is deployed at a temperature measurement position on the surface of the battery cells that can characterize the temperature state of that region. The surface-mount temperature sensor is preferentially placed at the center of the region, close to the cooling medium inlet. The location of the inlet or outlet and predetermined locations prone to heat accumulation are identified, and the sensor number, installation coordinates, and corresponding area number of each patch temperature sensor are recorded. This allows one or more patch temperature sensors within the same area to form a regional temperature sensing node. Each regional temperature sensing node is connected to the acquisition and control terminal via a communication bus, completing the deployment of the regional temperature sensing network. Simultaneously, based on the actual installation location of the target battery pack in the vehicle, energy storage cabinet, or other usage carrier, the surrounding structural obstructions, ventilation direction, and cooling system layout, the external environment space of the battery pack is divided into regions, enabling direct heat exchange between different battery pack spatial regions. The affected locations are defined as environmental sensing areas, which include at least the air inlet side environmental area, the air outlet side environmental area, and the battery pack periphery environmental area. When liquid cooling is used, the cooling medium inlet side and outlet side can also be defined as corresponding environmental sensing areas. Environmental status sensors are deployed in each environmental sensing area, including at least an environmental temperature sensor. Humidity sensors, airflow sensors, or cooling medium temperature sensors are selected and deployed according to the temperature control method. At the same time, a mapping relationship is established between each environmental status sensor and the corresponding environmental sensing area and the battery pack space area affected by it, thereby completing the deployment of the regional environmental sensing network.The regional temperature sensing network and the regional environmental sensing network are connected to the same acquisition and control terminal, and sampled data are transmitted using a unified communication protocol. The acquisition and control terminal sends synchronous acquisition trigger signals to the two types of sensing networks according to a unified sampling period. Data obtained within the same sampling period is written with a unified timestamp and corresponding regional number, enabling regional temperature data and regional environmental data to correspond according to sampling time and spatial region. This provides a unified data acquisition basis for multi-regional state sensing during the operation of the target battery pack.

[0015] like Figure 2 The diagram illustrates the installation scenario of the target battery pack. The target battery packs are arranged in clusters inside a container. A liquid cooling system for battery pack temperature regulation is installed within the container. This system includes a liquid cooling unit, a circulating water pump, liquid cooling pipes, and a liquid cooling distributor. Each battery pack undergoes heat exchange regulation through a corresponding liquid cooling branch. Due to the varying locations of the target battery packs within the container, their surrounding ventilation conditions, external environmental heat effects, and liquid cooling medium heat exchange conditions differ. Therefore, based on the installation location of the target battery packs within the container, the container's ventilation direction, and the arrangement of the liquid cooling system, the environmental space related to the thermal state of the target battery packs is divided into an inlet-side environmental area, an outlet-side environmental area, and local environmental sensing areas corresponding to the installation locations of each battery pack. The inlet-side environmental area characterizes the environmental state before entering the battery installation space, the outlet-side environmental area characterizes the environmental state after heat exchange within the battery installation space, and each local environmental sensing area characterizes the actual heat exchange environment around the corresponding battery pack. Using the environmental sensing area as the basis for the deployment of environmental state sensors, at least one environmental state sensor is set in each environmental sensing area, and a regional mapping relationship is established between the environmental state sensor and the corresponding battery pack space area. This enables the subsequent collection of environmental state data to correspond to the installation area of ​​the target battery pack, providing a data basis for environmental adaptability correction of regional thermal balance benchmark requirements.

[0016] like Figure 3The diagram illustrates the spatial division of the target battery pack. Based on the structural design information, the spatial relationships between the battery modules, liquid cooling plate, cooling medium inlet, and outlet within the target battery pack are determined. The layout boundaries of the battery modules, the effective range of the liquid cooling plate, and the flow position of the cooling medium are used as the basis for regional division, and the internal space of the target battery pack is partitioned. In this embodiment, the target battery pack is divided into regions Z1, Z2, Z3, and Z4. Each region covers the corresponding cell assembly and the heat exchange area of ​​the liquid cooling plate below it, and a unique region index is assigned to each region. The regional division also preserves the spatial correspondence between different regions and the liquid cooling plate inlet and outlet sides, as well as adjacent battery modules, so that subsequently collected temperature data can be mapped to the corresponding spatial locations according to the region index. When different regions exhibit temperature response differences due to variations in their distance from the cooling medium inlet and outlet, the location of the covered battery cells within the module, or differences in heat transfer conditions between adjacent regions, the temperature state of each region can be independently characterized based on the region index. Furthermore, spatial relationships between adjacent regions can be established, thereby obtaining the spatial region division results of the target battery pack. This provides a spatial analysis benchmark for subsequent spatiotemporal mapping of region temperature state data, inter-region temperature response analysis, and extraction of regional thermal features. It should be noted that... Figure 3 The four spatial regions shown are an exemplary division method. In practical applications, the number and range of spatial regions can be adjusted accordingly based on the number of cells in the target battery pack, the module arrangement, and the liquid cooling structure.

[0017] Furthermore, during the operation of the target battery pack, multi-regional state sensing is performed to obtain regional temperature state data and regional environmental state data, including: During the operation of the target battery pack, the regional temperature sensing network and the regional environment sensing network are driven to perform multi-regional temperature synchronous acquisition, thereby obtaining regional temperature acquisition data and regional environment acquisition data. Using the structural design information as a spatial mapping reference, thermal propagation correlation analysis is performed on the regional temperature acquisition data to determine the regional temperature state data. Using the regional temperature state data as a regional correlation reference, regional correlation analysis is performed on the regional environment acquisition data to determine the regional environmental state data.

[0018] During the operation of the target battery pack, the acquisition and control terminal synchronously drives the regional temperature sensing network and the regional environment sensing network according to a preset sampling period. Each patch-type temperature sensor collects the surface temperature of the battery cells in its corresponding spatial area, and each environmental status sensor synchronously collects the ambient temperature of its corresponding environmental sensing area, as well as the ambient humidity, airflow status, or cooling medium temperature obtained according to the temperature control method. Each sampled value obtained in the same sampling period is written with a unified timestamp, sensor number, and region number. After outlier removal, missing value compensation, and short-term noise filtering, regional temperature acquisition data and regional environment acquisition data are formed respectively. Based on the cell arrangement position, module boundary, and adjacent... The spatial mapping reference is based on the regional location relationships, cooling channel orientation, and cooling medium flow direction. Each temperature sample value is mapped to its corresponding spatial region, and a temperature time sequence is formed for each region according to a unified sampling time. For the i-th spatial region, the current temperature, average temperature, highest temperature, lowest temperature, and temperature increment between adjacent sampling times are calculated based on the sample values ​​from one or more temperature sensors within that region. Simultaneously, based on structural design information, associated regions directly adjacent to or connected to the i-th spatial region through cooling channels are identified. The direction, magnitude, and sequence of temperature changes between the i-th spatial region and each associated region at continuous sampling times are compared. When the temperature changes in two regions continuously exhibit the same direction of change and the temperature change in one region has a stable time lag relative to the other region, the two are identified as having a thermal propagation correlation. The corresponding temperature difference, change amplitude ratio, and time lag are recorded. This combines the temperature state of each region with the thermal propagation relationship between regions, forming regional temperature state data organized according to region number and sampling time. Further, using the spatial region number in the regional temperature state data as a correlation benchmark, and based on the pre-established correspondence between environmental sensing regions and battery pack spatial regions, the regional environmental acquisition data is mapped to the corresponding battery pack spatial region. Specifically, for regions directly located on the air inlet and outlet sides... The environmental sensing area on the side of the cooling medium inlet or outlet is used to associate its environmental data with the battery pack space area directly affected by the corresponding airflow or cooling medium. If one environmental sensing area affects multiple battery pack space areas at the same time, the correspondence is determined based on the spatial distance between each space area and the environmental sensing area, the direction of airflow propagation, or the flow sequence of the cooling medium. The environmental temperature, environmental humidity, airflow state, or cooling medium temperature of each area at the same sampling time are time-aligned with the temperature state data of the corresponding area to form regional environmental state data that characterize the external heat exchange conditions and the degree of environmental influence of each space area. This completes the multi-area state sensing during the operation of the target battery pack.

[0019] Using the spatial region division results of the target battery pack as the benchmark for thermal state analysis, spatiotemporal correlation analysis of the temperature state data of the region is performed to extract the regional thermal characteristic data.

[0020] Furthermore, using the spatial region division results of the target battery pack as the benchmark for thermal state analysis, spatiotemporal correlation analysis of the temperature state data of the region is performed to extract regional thermal feature data, including: Using the spatial region division result of the target battery pack as the region index, the region temperature state data is spatiotemporally mapped to determine the region temperature change relationship; the region temperature change relationship is analyzed for inter-region temperature response to determine the inter-region thermal influence relationship; based on the region temperature change relationship and the inter-region thermal influence relationship, thermal state features are combined to determine the region thermal state correlation features; and the region thermal feature data is extracted from the region thermal state correlation features.

[0021] Preferably, a unique region index is configured for each spatial region according to the spatial region division results, and a region adjacency relationship is established based on the actual position of each spatial region in the target battery pack. The region temperature state data is arranged according to the correspondence of "region index-sampling time-temperature state parameter". Within a preset analysis time window, the region average temperature, region maximum temperature, region minimum temperature, and temperature increment of each spatial region at multiple consecutive sampling times are extracted to form a temperature time series sequence corresponding to each region. For the i-th spatial region, the current temperature level, temperature change rate, and temperature fluctuation degree within the time window are calculated based on the temperature time series sequence. The temperature change rate is obtained by dividing the region average temperature difference between the current sampling time and the previous sampling time by the corresponding sampling time interval. The regional spatial temperature gradient is calculated based on the average temperature difference between this region and each adjacent region at the same sampling time, thereby determining the regional temperature change relationship of each region with time and along spatial position. Subsequently, for any two regions that have an adjacency relationship or form a heat transfer connection through cooling channels or module contact structures, the temperature time series sequences of the two regions are matched according to different time offsets, and the changes of the two temperature time series sequences under each time offset are calculated. The degree of consistency is determined, and the time offset corresponding to the highest degree of consistency is defined as the inter-regional temperature response lag. When the temperature change of region i precedes that of region j, and both regions maintain a consistent heating or cooling trend over multiple consecutive sampling periods, region i is defined as the heat source region relative to region j, and region j is defined as the heat response region. Simultaneously, the inter-regional heat influence intensity is determined by combining the temperature difference, the temperature change rate difference, and the temperature response lag between the two regions, thus forming an inter-regional heat influence relationship that includes the direction of heat influence, temperature response lag, and heat influence intensity. Based on the regional temperature change relationship and the inter-regional heat... The influence relationships are analyzed by combining the current temperature level, temperature change rate, temperature fluctuation degree, spatial temperature gradient with adjacent regions, thermal influence direction, temperature response time lag, and thermal influence intensity of the same region according to the region index to form regional thermal state correlation features corresponding to each spatial region. Furthermore, regional temperature level, regional temperature rise rate, regional temperature fluctuation amount, regional spatial temperature gradient, regional thermal influence intensity, and regional heat propagation direction that can characterize the differences in regional thermal state are extracted from the regional thermal state correlation features to form the regional thermal characteristic data for subsequent regional thermal balance demand analysis.

[0022] Based on the regional thermal characteristic data, a thermal equilibrium demand analysis based on regional thermal state differences is conducted to determine the regional thermal equilibrium benchmark demand.

[0023] Furthermore, based on the aforementioned regional thermal characteristic data, a thermal equilibrium demand analysis is performed based on regional thermal state differences to determine the regional thermal equilibrium baseline demand, including: Based on the regional thermal characteristic data, the regional thermal state is compared to determine the differences in regional thermal state; based on the differences in regional thermal state, the regional thermal balance demand is matched to determine the regional thermal balance adjustment direction and the relationship between regional thermal balance demand; by associating the regional thermal balance adjustment direction and the relationship between regional thermal balance demand, the regional thermal balance demand is aggregated to construct the regional thermal balance benchmark demand.

[0024] Preferably, the temperature level, temperature rise rate, temperature fluctuation, spatial temperature gradient, thermal influence intensity, and heat propagation direction of each spatial region are extracted according to the regional index. The temperature levels of all spatial regions at the same analysis time are statistically analyzed to calculate the overall reference temperature of the target battery pack. Simultaneously, the regional temperature deviation is determined based on the difference between each region's temperature level and the overall reference temperature. Furthermore, the regional temperature deviation, temperature rise rate, and spatial temperature gradient of each region are jointly compared. When the temperature of the target region is higher than the overall reference temperature and the temperature rise rate is positive, it is determined that heat exists in the target region. Accumulation trend: When the temperature of the target area is lower than the overall reference temperature and the temperature rise rate of the area is negative, it is determined that the target area has a low-temperature deviation trend. Combining the regional thermal influence intensity and the regional heat propagation direction, it is determined whether the temperature deviation has a tendency to extend to adjacent areas. This forms a regional thermal state difference relationship including the regional temperature deviation direction, the degree of regional temperature deviation, the temperature change trend, and the degree of regional heat propagation influence. Based on the regional thermal state difference relationship, areas with high temperatures and a continuing warming trend are matched as cooling adjustment directions, and areas with low temperatures and a continuing cooling trend are matched as warming adjustment directions. For regions with temperatures close to the overall reference temperature and stable temperature changes, the adjustment direction is maintained. The degree of thermal equilibrium requirement for each region is determined based on the absolute value of temperature deviation, the absolute value of temperature rise rate, the spatial temperature gradient, and the intensity of regional thermal influence. Specifically, the greater the regional temperature deviation, the faster the temperature change, the more pronounced the spatial temperature gradient, or the stronger the thermal influence on adjacent regions, the higher the degree of thermal equilibrium requirement for that region. Regions are ranked according to their degree of thermal equilibrium requirement, and the inter-regional demand correlation is determined based on the direction of thermal influence between regions. Regions where temperature anomalies first occur and have a significant thermal propagation impact on other regions receive a higher degree of thermal equilibrium requirement. Demand priority is established by reducing the direct regulation priority of regions whose temperature deviations are mainly affected by heat propagation from adjacent regions, thereby forming a regional thermal balance demand relationship that characterizes the magnitude and relative order of regulation needs in each region. Finally, using the region index as the aggregation unit, the regional thermal balance regulation direction, thermal balance demand level, and demand priority corresponding to each spatial region are associated and organized to generate a regional thermal balance demand item consisting of region number, regulation direction, demand level, and demand priority. All regional thermal balance demand items are combined to form the regional thermal balance baseline demand, which serves as the basis for subsequent environmental adaptive corrections based on the regional environmental conditions.

[0025] The regional environmental status data is used to make environmental adaptability corrections to the regional thermal balance baseline demand, thereby determining the regional thermal balance adjustment demand.

[0026] Furthermore, the environmental adaptability correction of the regional thermal balance baseline demand is performed using the aforementioned regional environmental state data to determine the regional thermal balance adjustment demand, including: By matching the regional environmental status data with the regional thermal balance baseline demand, the regional environmental impact relationship is determined; based on the regional environmental impact relationship, the environmental adaptability of the regional thermal balance baseline demand is quantified, and the regional thermal balance demand correction relationship is determined; based on the regional thermal balance demand correction relationship, the regional thermal balance baseline demand is adjusted to obtain the regional thermal balance adjustment demand.

[0027] Preferably, according to the area number, the regional environmental state data corresponding to each spatial area is matched one by one with the regional thermal balance requirement items in the regional thermal balance benchmark requirements. The ambient temperature corresponding to each area is extracted, and the ambient humidity, local airflow velocity, or cooling medium inlet and outlet temperatures are further extracted according to the actual temperature control method. The environmental state parameters of the current area are compared with the overall environmental reference state of the target battery pack to determine the differences in the external heat exchange conditions of each area. Among them, for areas that need to perform cooling regulation, when the ambient temperature of the area is lower than the overall environmental reference temperature, the local airflow velocity is high, or the cooling medium inlet temperature is low, it is determined that the current environmental conditions of the area are conducive to the outward release of heat. The environmental impact is categorized into two types: one promoting heat dissipation and the other inhibiting heat dissipation. When the ambient temperature is high, the local airflow velocity is low, or the cooling medium temperature is high, the external heat exchange capacity of the area is suppressed, resulting in a heat dissipation-inhibiting environmental impact. For areas requiring temperature regulation, the environmental conditions are evaluated in the opposite direction to determine the promoting or inhibiting effect on the temperature rise process, thus establishing the regional environmental impact relationship that includes both the direction and degree of environmental impact. Further, the environmental state parameters are normalized based on their deviation from the overall environmental reference state, and then weighted and summed according to pre-defined environmental impact weights to obtain the environmental adaptability correction coefficients for each region. Ambient temperature is used as the primary correction parameter, while airflow velocity and ambient temperature are also considered. Ambient humidity or cooling medium temperature is used as an auxiliary correction parameter. The environmental impact weight can be calibrated using historical temperature control test data of the battery pack under different environmental conditions, so that the environmental adaptability correction coefficient can characterize the degree to which the current environmental conditions promote or inhibit the predetermined thermal equilibrium adjustment direction of the region. Subsequently, the environmental adaptability correction coefficient is correlated with the degree of thermal equilibrium demand in the regional thermal equilibrium benchmark demand. When the environmental conditions promote the current adjustment direction, the degree of active temperature control demand in the corresponding region is appropriately reduced. When the environmental conditions inhibit the current adjustment direction, the degree of active temperature control demand in the corresponding region is increased. The adjustment urgency of each region is then re-compared based on the corrected degree of thermal equilibrium demand. The system first determines the degree of thermal equilibrium demand. For areas with significantly increased demand, the adjustment priority is increased; for areas with decreased demand that can achieve thermal equilibrium through natural environmental heat exchange, the adjustment priority is decreased. This establishes a regional thermal equilibrium demand correction relationship between the regional environmental state and the degree and priority of thermal equilibrium demand. Finally, according to this regional thermal equilibrium demand correction relationship, the demand degree and priority of each region in the regional thermal equilibrium baseline demand are updated, while maintaining the original region number and thermal equilibrium adjustment direction. This forms a regional thermal equilibrium adjustment demand that includes the region number, thermal equilibrium adjustment direction, corrected demand degree, and corrected adjustment priority, serving as input for subsequent differentiated temperature control resource allocation and the generation of regional temperature control adjustment commands.

[0028] Based on the regional thermal balance adjustment requirements, the target battery pack is subjected to differentiated temperature control adjustment based on regional thermal characteristic differences, and regional temperature control adjustment commands are generated.

[0029] Furthermore, based on the regional thermal balance adjustment requirements, the target battery pack is subjected to differentiated temperature control adjustment based on regional thermal characteristic differences, generating regional temperature control adjustment commands, including: The differences in regional thermal regulation needs are quantified based on the regional thermal balance regulation requirements; the temperature control regulation resources are allocated differently based on the differences in regional thermal regulation needs, and the relationship between regional regulation priority and regional regulation intensity is determined; the coordinated configuration of regional heat dissipation-heat source regulation is carried out according to the relationship between regional regulation priority and regional regulation intensity to form a differentiated temperature control regulation scheme; the control command is converted into the differentiated temperature control regulation scheme to obtain the regional temperature control regulation command.

[0030] Preferably, the thermal equilibrium adjustment direction, corrected demand level, and corrected adjustment priority corresponding to each spatial region are read according to the region number. The corrected demand level of each region is normalized, and the demand difference of each region relative to other regions is calculated using the normalized demand level of all regions to be adjusted as a comparison benchmark. At the same time, the regional thermal regulation demand difference is formed by combining the corresponding adjustment priority. Among them, the region with higher demand level and higher adjustment priority has a greater weight in the allocation of temperature control resources. The currently available temperature control resources of the target battery pack are obtained. The temperature control resources include cooling air volume, cooling medium flow rate, and cooling branches. The system considers at least one of valve opening degree and electric heating power, and divides the area to be adjusted into a cooling area, a heating area, and a holding area according to the adjustment direction of each area. For the cooling area, available cooling capacity is allocated from high to low according to the area temperature control resource allocation weight. For the heating area, available heating capacity is allocated from high to low according to the area temperature control resource allocation weight. For the holding area, the current temperature control output is maintained or the minimum temperature control resources required to achieve temperature stability are allocated. During the resource allocation process, the maximum output capacity, minimum stable output capacity, and allowable adjustment range of each temperature control branch of the temperature control device are used as constraints to allocate the cooling energy obtained by each area. The force or heating capacity is converted into the corresponding regional regulation intensity, and the temperature control execution sequence is determined according to the corrected regulation priority, thus forming a relationship between regional regulation priority and regional regulation intensity. Subsequently, based on the actual structure of the target battery pack temperature control system, the regional regulation intensity is mapped to the heat dissipation execution unit or heat source execution unit corresponding to the corresponding spatial region. Specifically, for cooling regions using air cooling, the corresponding air duct fan speed is increased or the corresponding damper opening is adjusted according to the regional regulation intensity; for cooling regions using liquid cooling, the output of the corresponding cooling branch circulation pump is increased or the flow regulating valve opening is increased according to the regional regulation intensity. In areas requiring heating, the output power of the corresponding heating film, heating plate, or other heat source unit is increased according to the area's adjustment intensity. When adjacent areas have heating and cooling needs respectively, the adjacent execution units are restricted from simultaneously adjusting in opposite directions at high intensity according to the area's thermal influence relationship. Priority is given to meeting the area with higher demand and higher adjustment priority, while reducing the reverse adjustment output of the other adjacent area to reduce heat cancellation between adjacent areas. This completes the coordinated configuration of the area heat dissipation unit and heat source unit, forming a differentiated temperature control adjustment scheme that includes the adjustment direction, execution object, target adjustment intensity, and execution priority order of each area.Finally, based on the control interface and allowable control range of each temperature control execution unit, the target adjustment intensity in the differentiated temperature control adjustment scheme is converted into corresponding fan speed setpoints, circulating pump speed setpoints, flow regulating valve opening values, or heating power setpoints. These are then appended with a region number, execution unit number, and control cycle to form a region temperature control adjustment command. This command is then sent to the corresponding temperature control execution unit for execution, thereby achieving differentiated temperature control adjustment to meet the thermal balance adjustment needs of different regions.

[0031] During the temperature control adjustment of the target battery pack using the regional temperature control adjustment command, thermal balance feedback correction is performed based on the regional temperature increment data until the updated regional thermal balance adjustment requirements meet the thermal balance judgment conditions.

[0032] During the process of temperature control adjustment of the target battery pack using regional temperature control adjustment commands, the regional temperature sensing network is continuously driven to collect real-time temperature data of each spatial region according to a preset feedback cycle. The average temperature difference between corresponding regions at two adjacent feedback times is used as the regional temperature change. The sign of the regional temperature change determines the direction of regional temperature change, and the ratio of the regional temperature change to the corresponding feedback time interval determines the rate of regional temperature change. The regional temperature change, the direction of regional temperature change, and the rate of regional temperature change are combined to form regional temperature increment data. The regional temperature increment data is matched with the current regional thermal balance adjustment requirements according to the region number. When cooling adjustment is executed... When a region exhibits a temperature decrease, or when a region undergoing temperature adjustment exhibits a temperature increase, the current adjustment direction is determined to be consistent with the region's temperature response. Based on the reduction in the region's temperature deviation relative to the overall reference temperature, the corresponding thermal equilibrium requirement is reduced. When the region's temperature change direction is opposite to the current thermal equilibrium adjustment direction, the current adjustment is determined to have failed to produce the expected temperature response, and the corresponding region's thermal equilibrium requirement is increased. When the region's temperature change direction is consistent with the current thermal equilibrium adjustment direction, but the rate of temperature change is lower than a preset effective response threshold, the current adjustment response is determined to be insufficient. Based on the temperature deviation and the degree of insufficient response, the corresponding region's thermal equilibrium requirement or adjustment priority is increased. Further adjustments are made based on the latest real-time temperature of each region. The temperature differences between newly calculated regions are analyzed, and the inter-regional thermal influence relationship is used to determine whether the current temperature control adjustment causes changes in the thermal state of adjacent regions. When the temperature deviation of the target region decreases while the temperature deviation of the adjacent regions affected by its thermal influence increases, the thermal balance demand of the corresponding adjacent regions is increased according to the inter-regional thermal influence relationship to compensate for the additional thermal imbalance caused by inter-regional heat propagation. After completing the above feedback analysis, the thermal balance demand and adjustment priority of each region are updated to form the updated regional thermal balance adjustment demand. Based on the updated regional thermal balance adjustment demand, the temperature control adjustment resources are re-allocated and regional temperature control adjustment commands are generated. After each feedback cycle, the updated regional thermal balance adjustment demand is evaluated. The system determines the thermal balance adjustment requirements by assessing the thermal equilibrium. If the temperature deviation of each spatial region relative to the overall reference temperature is less than a preset thermal balance deviation threshold, and the rate of temperature change in each region is less than a preset stable change threshold within a preset number of feedback cycles, and the temperature difference between any adjacent regions does not show a continuous increase, then the updated regional thermal balance adjustment requirements are deemed to meet the thermal balance determination conditions. Thermal balance feedback correction is then stopped, and the current stable temperature control state is maintained. If any thermal balance determination condition is not met, the system continues to execute regional temperature increment acquisition, temperature control response judgment, regional thermal balance adjustment requirement update, and regional temperature control adjustment command update until the updated regional thermal balance adjustment requirements meet the thermal balance determination conditions.

[0033] In summary, the embodiments of this application have at least the following technical effects: During the operation of the target battery pack, multi-regional state sensing is performed to obtain regional temperature and environmental state data. Next, using the spatial region division of the target battery pack as the thermal state analysis benchmark, spatiotemporal correlation analysis of the regional temperature state data is conducted to extract regional thermal characteristic data. Based on the regional thermal characteristic data, a thermal equilibrium demand analysis based on regional thermal state differences is performed to determine the regional thermal equilibrium benchmark demand. Then, environmental adaptability corrections to the regional thermal equilibrium benchmark demand are performed using regional environmental state data to determine the regional thermal equilibrium adjustment demand. Further, based on the regional thermal equilibrium adjustment demand, differentiated temperature control adjustments are performed on the target battery pack according to regional thermal characteristic differences, generating regional temperature control adjustment commands. Finally, during the temperature control adjustment of the target battery pack using the regional temperature control adjustment commands, thermal equilibrium feedback corrections are performed based on regional temperature increment data until the updated regional thermal equilibrium adjustment demand meets the thermal equilibrium judgment conditions. This invention solves the technical problem in existing technologies where it is difficult to perform targeted temperature control when there are differences in the thermal state of different areas of the battery pack, resulting in large local temperature deviations and insufficient overall thermal uniformity. It achieves the technical effect of improving the targeting and adaptability of temperature control in different areas of the battery pack, reducing temperature differences between areas, and improving the thermal uniformity and temperature control stability of the battery pack.

[0034] Example 2, based on the same inventive concept as the battery pack temperature control optimization method based on thermal equilibrium adjustment in the previous examples, such as... Figure 4 As shown, this application provides a battery pack temperature control optimization platform based on thermal equilibrium regulation, wherein the platform includes: The module consists of four modules: **Regional State Perception Module 11:** Performs multi-regional state perception during the operation of the target battery pack, obtaining regional temperature state data and regional environmental state data; **Feature Extraction Module 12:** Uses the spatial region division results of the target battery pack as the thermal state analysis benchmark, performs spatiotemporal correlation analysis of the regional temperature state data, and extracts regional thermal feature data; **Demand Analysis Module 13:** Performs thermal balance demand analysis based on regional thermal state differences according to the regional thermal feature data, determining the regional thermal balance benchmark demand; **Environmental Correction Module 14:** Uses the regional environmental state data to perform environmental adaptability correction on the regional thermal balance benchmark demand, determining the regional thermal balance adjustment demand; **Temperature Control Adjustment Module 15:** Performs differentiated temperature control adjustment on the target battery pack based on regional thermal feature differences according to the regional thermal balance adjustment demand, generating regional temperature control adjustment commands; **Feedback Correction Module 16:** During the temperature control adjustment of the target battery pack using the regional temperature control adjustment commands, performs thermal balance feedback correction based on regional temperature increment data until the updated regional thermal balance adjustment demand meets the thermal balance judgment conditions.

[0035] Furthermore, the feature extraction module 12 is used to perform the following method: Using the spatial region division result of the target battery pack as the region index, the region temperature state data is spatiotemporally mapped to determine the region temperature change relationship; the region temperature change relationship is analyzed for inter-region temperature response to determine the inter-region thermal influence relationship; based on the region temperature change relationship and the inter-region thermal influence relationship, thermal state features are combined to determine the region thermal state correlation features; and the region thermal feature data is extracted from the region thermal state correlation features.

[0036] Furthermore, the requirements analysis module 13 is used to perform the following methods: Based on the regional thermal characteristic data, the regional thermal state is compared to determine the differences in regional thermal state; based on the differences in regional thermal state, the regional thermal balance demand is matched to determine the regional thermal balance adjustment direction and the relationship between regional thermal balance demand; by associating the regional thermal balance adjustment direction and the relationship between regional thermal balance demand, the regional thermal balance demand is aggregated to construct the regional thermal balance benchmark demand.

[0037] Furthermore, the environment correction module 14 is used to perform the following method: By matching the regional environmental status data with the regional thermal balance baseline demand, the regional environmental impact relationship is determined; based on the regional environmental impact relationship, the environmental adaptability of the regional thermal balance baseline demand is quantified, and the regional thermal balance demand correction relationship is determined; based on the regional thermal balance demand correction relationship, the regional thermal balance baseline demand is adjusted to obtain the regional thermal balance adjustment demand.

[0038] Furthermore, the temperature control module 15 is used to perform the following method: The differences in regional thermal regulation needs are quantified based on the regional thermal balance regulation requirements; the temperature control regulation resources are allocated differently based on the differences in regional thermal regulation needs, and the relationship between regional regulation priority and regional regulation intensity is determined; the coordinated configuration of regional heat dissipation-heat source regulation is carried out according to the relationship between regional regulation priority and regional regulation intensity to form a differentiated temperature control regulation scheme; the control command is converted into the differentiated temperature control regulation scheme to obtain the regional temperature control regulation command.

[0039] Furthermore, the region state perception module 11 is used to perform the following method: Based on the product code of the target battery pack, structural design information is retrieved from the design information database; according to the structural design information, the spatial area of ​​the target battery pack is divided, and the area division result is determined; using the area division result as the temperature sensing deployment benchmark, patch-type temperature sensors are deployed to complete the deployment of the regional temperature sensing network; based on the installation scenario of the target battery pack, the environmental area is divided, and the environmental sensing area is located; using the environmental sensing area as the environmental sensing deployment benchmark, environmental state sensors are deployed to complete the deployment of the regional environmental sensing network, wherein the regional temperature sensing network and the regional environmental sensing network use a unified communication protocol for synchronous communication.

[0040] Furthermore, the region state perception module 11 is used to perform the following method: During the operation of the target battery pack, the regional temperature sensing network and the regional environment sensing network are driven to perform multi-regional temperature synchronous acquisition, thereby obtaining regional temperature acquisition data and regional environment acquisition data. Using the structural design information as a spatial mapping reference, thermal propagation correlation analysis is performed on the regional temperature acquisition data to determine the regional temperature state data. Using the regional temperature state data as a regional correlation reference, regional correlation analysis is performed on the regional environment acquisition data to determine the regional environmental state data.

[0041] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A battery pack temperature control optimization method based on thermal equilibrium regulation, characterized in that, The method includes: During the operation of the target battery pack, multi-regional status sensing is performed to obtain regional temperature status data and regional environmental status data. Using the spatial region division result of the target battery pack as the benchmark for thermal state analysis, spatiotemporal correlation analysis of the temperature state data of the region is performed to extract the thermal characteristic data of the region. Based on the regional thermal characteristic data, a thermal equilibrium demand analysis based on regional thermal state differences is performed to determine the regional thermal equilibrium baseline demand. The regional environmental status data is used to make environmental adaptive corrections to the regional thermal balance baseline demand, thereby determining the regional thermal balance adjustment demand. Based on the regional thermal balance adjustment requirements, the target battery pack is subjected to differentiated temperature control adjustment based on regional thermal characteristic differences, and regional temperature control adjustment instructions are generated. During the temperature control adjustment of the target battery pack using the regional temperature control adjustment command, thermal balance feedback correction is performed based on the regional temperature increment data until the updated regional thermal balance adjustment requirements meet the thermal balance judgment conditions.

2. The battery pack temperature control optimization method based on thermal equilibrium adjustment as described in claim 1, characterized in that, Using the spatial region division results of the target battery pack as the benchmark for thermal state analysis, spatiotemporal correlation analysis of the temperature state data of the region is performed to extract regional thermal feature data. The method includes: Using the spatial region division result of the target battery pack as the region index, the region temperature state data is spatiotemporally mapped to determine the region temperature change relationship. The temperature change relationship in the region is analyzed to determine the inter-regional thermal influence relationship. Based on the regional temperature change relationship and the inter-regional thermal influence relationship, thermal state characteristics are combined to determine the regional thermal state correlation characteristics. Extract the regional thermal feature data from the regional thermal state correlation features.

3. The battery pack temperature control optimization method based on thermal equilibrium adjustment as described in claim 1, characterized in that, Based on the regional thermal characteristic data, a thermal equilibrium demand analysis is performed to determine the regional thermal equilibrium baseline demand. The method includes: Based on the aforementioned regional thermal characteristic data, the regional thermal states are compared to determine the differences in regional thermal states. Based on the differences in regional thermal states, regional thermal balance demand is matched to determine the direction of regional thermal balance adjustment and the relationship between regional thermal balance demand. By associating the regional thermal balance adjustment direction with the regional thermal balance demand, the regional thermal balance demand is aggregated, and the regional thermal balance benchmark demand is constructed.

4. The battery pack temperature control optimization method based on thermal equilibrium adjustment as described in claim 1, characterized in that, The method involves using the regional environmental state data to perform environmental adaptive corrections to the regional thermal balance baseline demand, thereby determining the regional thermal balance adjustment demand. By matching the regional environmental status data with the regional thermal equilibrium benchmark requirements, the regional environmental impact relationship is determined. Based on the aforementioned regional environmental impact relationships, the environmental adaptability of the regional thermal balance baseline demand is quantified, and the regional thermal balance demand correction relationship is determined. The regional thermal balance baseline demand is adjusted according to the regional thermal balance demand correction relationship to obtain the regional thermal balance adjustment demand.

5. The battery pack temperature control optimization method based on thermal equilibrium adjustment as described in claim 1, characterized in that, Based on the regional thermal balance adjustment requirements, the target battery pack is subjected to differentiated temperature control adjustment based on regional thermal characteristic differences, and regional temperature control adjustment commands are generated. The method includes: The differences in regional thermal regulation requirements are quantified based on the aforementioned regional thermal balance regulation requirements. Based on the differences in regional thermal regulation needs, temperature control resources are allocated in a differentiated manner to determine the relationship between regional regulation priority and regional regulation intensity. Based on the relationship between the regional adjustment priority and the regional adjustment intensity, a coordinated configuration of regional heat dissipation and heat source adjustment is carried out to form a differentiated temperature control adjustment scheme. The differentiated temperature control scheme is converted into control commands to obtain the regional temperature control command.

6. The battery pack temperature control optimization method based on thermal equilibrium adjustment as described in claim 1, characterized in that, The method further includes: Based on the product code of the target battery pack, retrieve the structural design information from the design information database; Based on the structural design information, the spatial region of the target battery pack is divided, and the region division result is determined; Using the region division results as the basis for temperature sensing deployment, patch-type temperature sensors are deployed to complete the deployment of the regional temperature sensing network. The environmental area is divided according to the installation scenario of the target battery pack, and the environmental sensing area is located. Using the environmental sensing area as the basis for environmental sensing deployment, environmental state sensors are deployed to complete the deployment of the regional environmental sensing network. The regional temperature sensing network and the regional environmental sensing network communicate synchronously using a unified communication protocol.

7. The battery pack temperature control optimization method based on thermal equilibrium adjustment as described in claim 6, characterized in that, The method involves performing multi-regional state sensing during the operation of the target battery pack to obtain regional temperature state data and regional environmental state data, and includes: During the operation of the target battery pack, the regional temperature sensing network and the regional environment sensing network are driven to perform multi-regional temperature synchronous acquisition, thereby obtaining regional temperature acquisition data and regional environment acquisition data. Using the structural design information as a spatial mapping reference, thermal propagation correlation analysis of the temperature acquisition data in the region is performed to determine the temperature state data of the region. Using the temperature status data of the region as the regional correlation benchmark, regional correlation analysis is performed on the environmental data collected in the region to determine the environmental status data of the region.

8. A battery pack temperature control optimization platform based on thermal equilibrium regulation, characterized in that, The platform is used to implement the battery pack temperature control optimization method based on thermal equilibrium adjustment as described in any one of claims 1-7, and the platform includes: Regional Status Sensing Module: Performs multi-region status sensing during the operation of the target battery pack to obtain regional temperature status data and regional environmental status data; Feature extraction module: Using the spatial region division result of the target battery pack as the benchmark for thermal state analysis, it performs spatiotemporal correlation analysis on the temperature state data of the region and extracts the thermal feature data of the region. Demand Analysis Module: Based on the regional thermal characteristic data, perform thermal equilibrium demand analysis based on regional thermal state differences to determine the regional thermal equilibrium baseline demand. Environmental correction module: Uses the regional environmental status data to perform environmental adaptability correction of the regional thermal balance baseline requirements, and determines the regional thermal balance adjustment requirements; Temperature control module: Based on the regional thermal balance adjustment requirements, the target battery pack is subjected to differentiated temperature control adjustment based on regional thermal characteristics differences, and regional temperature control adjustment instructions are generated. Feedback correction module: During the temperature control adjustment of the target battery pack using the regional temperature control adjustment command, thermal balance feedback correction is performed based on the regional temperature increment data until the updated regional thermal balance adjustment requirements meet the thermal balance judgment conditions.

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