Thermal management strategy optimization method for energy storage device

Abstract

The invention discloses a thermal management strategy optimization method for an energy storage device, and belongs to the field of energy storage management, and the method comprises the steps: obtaining first assembly parameters and assembly connection parameters of a plurality of first assemblies in the energy storage device, and obtaining second assembly parameters and assembly influence parameters of a plurality of second assemblies in the energy storage device; determining a plurality of heat transfer paths of the energy storage device based on the first component parameters of the plurality of first components and the component connection parameters; determining a plurality of heat dissipation areas of the energy storage device and a plurality of heat dissipation paths connected with the plurality of heat dissipation areas based on the second assembly parameters of the plurality of second assemblies and the assembly influence parameters; and in the working process of the energy storage device, if the temperature of the energy storage device is unbalanced, based on the multiple second assembly parameters, the multiple heat transfer paths, the multiple heat dissipation areas and the multiple heat dissipation paths, the multiple second assemblies are controlled to work.

Description

Technical Field

[0001] The present application relates to the field of energy storage management, and in particular to a method for optimizing a thermal management strategy for an energy storage device. Background Art

[0002] With the continuous growth of energy demand and the widespread application of renewable energy, the importance of energy storage devices has become increasingly prominent. During the operation of energy storage devices, thermal management is a key factor in ensuring their performance, safety and life. Effective thermal management can improve the overall efficiency of energy storage devices and ensure their stable operation.

[0003] At present, the thermal management strategy of energy storage devices has certain limitations. Many existing technologies often fail to comprehensively integrate various parameters of energy storage components and heat dissipation components when considering thermal management. Moreover, most of them only perform heat dissipation treatment on a certain component or part separately, without optimizing the overall structure of the energy storage device.

[0004] This situation makes it easy for the energy storage device to experience temperature imbalance during operation, and when temperature imbalance occurs, it is difficult to accurately control the operation of the heat dissipation component according to the overall condition of the energy storage device. This not only affects the performance of the energy storage device, but may also shorten its service life due to problems such as local overheating, increase maintenance costs, and is not conducive to the large-scale promotion and efficient application of energy storage devices. Summary of the invention

[0005] The embodiment of the present application provides a method for optimizing a thermal management strategy for an energy storage device, which can reduce the probability of temperature imbalance occurring in the energy storage device during operation, and timely intervene in the event of temperature imbalance to prevent local overheating. The technical solution is as follows: In one aspect, a method for optimizing a thermal management strategy for an energy storage device is provided, the method comprising: Obtaining first component parameters and component connection parameters of multiple first components in an energy storage device and obtaining second component parameters and component influence parameters of multiple second components in the energy storage device, wherein the multiple first components are components in the energy storage device used for energy storage, and the multiple second components are components in the energy storage device used for heat dissipation, the first component parameters include component attributes, component operating parameters, and a first position in the energy storage device corresponding to the first components, the component connection parameters are used to indicate a connection relationship between the multiple first components, the second component parameters include component attributes, component capabilities, and a second position in the energy storage device corresponding to the second components, and the component influence parameters are used to indicate a preset heat dissipation correspondence relationship between the corresponding second components and the first components; Based on the first component parameters and component connection parameters of the multiple first components, determine multiple heat transfer paths of the energy storage device, one heat transfer path connects N first components, N is a positive integer; based on the second component parameters and component influencing parameters of the multiple second components, determine multiple heat dissipation areas of the energy storage device and multiple heat dissipation paths connecting the multiple heat dissipation areas; During the operation of the energy storage device, obtaining the operating temperatures of a plurality of preset positions in the energy storage device, and determining whether the energy storage device has a temperature imbalance based on the operating temperatures of the plurality of preset positions, wherein the plurality of preset positions are associated with the operating state of the energy storage device; In the event of temperature imbalance in the energy storage device, the plurality of second components are controlled to operate based on the plurality of second component parameters, the plurality of heat transfer paths, the plurality of heat dissipation areas, and the plurality of heat dissipation paths.

[0006] In one aspect, a thermal management strategy optimization device for an energy storage device is provided, the device comprising: An acquisition module, used to acquire first component parameters and component connection parameters of multiple first components in an energy storage device and to acquire second component parameters and component influence parameters of multiple second components in the energy storage device, wherein the multiple first components are components used for energy storage in the energy storage device, and the multiple second components are components used for heat dissipation in the energy storage device, wherein the first component parameters include component attributes, component operating parameters, and a first position in the energy storage device corresponding to the first components, wherein the component connection parameters are used to indicate a connection relationship between the multiple first components, wherein the second component parameters include component attributes, component capabilities, and a second position in the energy storage device corresponding to the second components, and wherein the component influence parameters are used to indicate a preset heat dissipation correspondence relationship between the corresponding second components and the first components; A path determination module, configured to determine a plurality of heat transfer paths of the energy storage device based on first component parameters and component connection parameters of the plurality of first components, wherein one heat transfer path connects N first components, where N is a positive integer; and determine a plurality of heat dissipation areas of the energy storage device and a plurality of heat dissipation paths connecting the plurality of heat dissipation areas based on second component parameters and component influencing parameters of the plurality of second components; a temperature imbalance judgment module, used to obtain the operating temperatures of a plurality of preset positions in the energy storage device during the operation of the energy storage device, and determine whether the energy storage device has a temperature imbalance based on the operating temperatures of the plurality of preset positions, wherein the plurality of preset positions are associated with the operating state of the energy storage device; The control module is used to control the multiple second components to work based on the multiple second component parameters, the multiple heat transfer paths, the multiple heat dissipation areas and the multiple heat dissipation paths when temperature imbalance occurs in the energy storage device.

[0007] In one possible implementation, the path determination module is used to determine multiple initial heat transfer paths based on component connection parameters and component properties of the multiple first components; determine an estimated component heating value of each of the first components based on component operating parameters of the multiple first components; and determine the multiple heat transfer paths based on the multiple initial heat transfer paths, the estimated component heating value of each of the first components, and component properties.

[0008] In a possible embodiment, the path determination module is used to generate a first graph network based on component connection parameters and component parameters of the multiple first components, wherein the first graph network includes multiple first nodes, one first node corresponds to one first component, and the connection lines between the multiple first nodes are determined by the component connection parameters, the node attributes of the first nodes are the component parameters corresponding to the first components, and the weights of the connection lines are determined based on the first positions of the first components; at least one target first node is determined from the first graph network, and the target first node is the first node with the most connections among the multiple first nodes; and the multiple initial heat transfer paths are determined based on the at least one target first node and the first graph network.

[0009] In a possible implementation, the path determination module is used to determine, for any initial heat transfer path among the multiple initial heat transfer paths, an estimated heat transfer value of the initial heat transfer path based on the estimated heat generation of M first components on the initial heat transfer path and component properties, where M is a positive integer; determine a heat transfer weight of the initial heat transfer path based on the estimated heat transfer value and a reference heat transfer value of the initial heat transfer path, where the reference heat transfer value is determined based on the estimated heat transfer values ​​of multiple preset heat transfer paths of the energy storage device, and the heat transfer weight is used to indicate the importance of the initial heat transfer path; determine the multiple heat transfer paths from the multiple initial heat transfer paths based on the estimated heat transfer values ​​and heat transfer weights of the multiple initial heat transfer paths.

[0010] In one possible implementation, the path determination module is used to determine the component influence range of each of the multiple second components based on the component capability, the second position and the component influence parameter in the second component parameters of the multiple second components; determine the multiple heat dissipation areas of the energy storage device based on the component attributes and the component influence range in the second component parameters of each of the second components; and determine the multiple heat dissipation paths based on the second position of each of the second components and the multiple heat dissipation areas.

[0011] In a possible implementation, the path determination module is used to determine the initial component influence range of each of the multiple second components based on the second positions and component influence parameters; and to determine the component influence range of each of the second components based on the component capabilities and initial component influence range of each of the second components.

[0012] In a possible implementation, the path determination module is used to perform a secondary correction on the component influence range of each second component based on the component attributes in the second component parameters of each second component to obtain the target component influence range of each second component; and merge the target component influence ranges that overlap and whose overlapping area is greater than or equal to a preset area to obtain multiple heat dissipation areas of the energy storage device.

[0013] In a possible implementation, the path determination module is used to determine the third position of each heat dissipation area in the energy storage device based on the second position of the second component in each heat dissipation area; based on the third position of each heat dissipation area in the energy storage device, determine the multiple heat dissipation paths, and the distance between the heat dissipation areas on one heat dissipation path is less than or equal to a distance threshold.

[0014] In a possible implementation, the control module is used to determine at least two target positions and the operating temperature difference between the at least two target positions from the multiple preset positions when temperature imbalance occurs in the energy storage device, the target position being a preset position with a high degree of temperature imbalance; based on the at least two target positions, determine at least two target heat dissipation areas from the multiple heat dissipation areas and determine at least two target heat transfer paths from the multiple heat transfer paths, one target heat dissipation area corresponds to one target position, and one target heat transfer path corresponds to one target position; based on the at least two target heat transfer paths, determine at least one reference heat dissipation area from the multiple heat dissipation areas, the reference heat dissipation area covering the at least two target heat transfer paths. The invention relates to a method for controlling the operation of the plurality of target second components, comprising: determining a heat dissipation area of ​​at least two target heat transfer paths; determining at least one target heat dissipation path from the plurality of heat dissipation paths based on the at least two target heat dissipation areas and the at least one reference heat dissipation area; determining a plurality of target second components from the plurality of second components based on the at least one target heat dissipation path; determining target second component parameters of the plurality of target second components from the plurality of second component parameters; determining component control parameters of the plurality of target second components based on the target second component parameters of the plurality of target second components, the operating temperature difference between the at least two target positions, and the at least two target positions; and controlling the plurality of target second components to operate using the component control parameters of the plurality of target second components.

[0015] In one possible implementation, the control module is used to determine the initial component control parameters of the multiple target second components based on the component properties and component capabilities in the target second component parameters of the multiple target second components and the operating temperature difference between the at least two target positions; determine the control parameter correction coefficient based on the position difference between the second position in the target second component parameters of the multiple target second components and the at least two target positions; and fuse the initial component control parameters of the multiple target second components with the control parameter correction coefficient to obtain the component control parameters of the multiple target second components.

[0016] On the one hand, a computer device is provided, which includes one or more processors and one or more memories, wherein at least one computer program is stored in the one or more memories, and the computer program is loaded and executed by the one or more processors to implement the thermal management strategy optimization method for the energy storage device.

[0017] On the one hand, a computer-readable storage medium is provided, wherein at least one computer program is stored in the computer-readable storage medium, and the computer program is loaded and executed by a processor to implement the thermal management strategy optimization method for an energy storage device.

[0018] On the one hand, a computer program product or a computer program is provided, which includes a program code, the program code is stored in a computer-readable storage medium, a processor of a computer device reads the program code from the computer-readable storage medium, and the processor executes the program code, so that the computer device executes the above-mentioned thermal management strategy optimization method for an energy storage device.

[0019] Through the technical solution provided in the embodiment of the present application, various parameters of the first component and the second component in the energy storage device are comprehensively considered, and thermal management is performed more accurately, thereby reducing the impact of temperature fluctuations on energy storage efficiency and improving the stability of the energy storage device. In other words, it is possible to detect temperature imbalance in a timely manner and accurately control the operation of the second component based on a variety of factors, thereby avoiding damage to the first component and the second component due to local overheating, thereby reducing temperature-related performance degradation, extending the service life of the energy storage device, and reducing the cost of large-scale energy storage applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 is a schematic diagram of an implementation environment of a thermal management strategy optimization method for an energy storage device provided in an embodiment of the present application; Figure 2 It is a flow chart of a thermal management strategy optimization method for an energy storage device provided in an embodiment of the present application; Figure 3 is another flow chart of a thermal management strategy optimization method for an energy storage device provided in an embodiment of the present application; Figure 4 It is a structural schematic diagram of a thermal management strategy optimization device for an energy storage device provided in an embodiment of the present application; Figure 5 It is a structural schematic diagram of a thermal management system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0023] In this application, the terms "first", "second", etc. are used to distinguish identical or similar items with basically the same effects and functions. It should be understood that there is no logical or temporal dependency between "first", "second", and "nth", nor is there any limitation on quantity and execution order.

[0024] Energy storage device: Energy storage device is a device that can store energy and release it when needed. It plays a vital role in energy management and utilization, especially in the application of renewable energy. Energy storage device can solve the temporal or local differences between energy supply and demand.

[0025] Thermal management: Thermal management is the process of adjusting and controlling the temperature or temperature difference of a specific object by heating or cooling it according to its requirements. Thermal management includes specific objects, implementation methods, thermal management parameters, etc. Thermal management can be seen everywhere in daily life, such as mobile phones, computers, cars, rooms, and various industrial applications.

[0026] Thermal imbalance: Thermal imbalance in energy storage devices refers to the phenomenon that due to the imbalance of heat generation and heat dissipation in the energy storage device, the temperature distribution inside the system is uneven, and the temperature in some areas is too high or too low. This thermal imbalance may have an adverse effect on the performance, safety and life of the energy storage device.

[0027] Heat transfer path: The heat transfer path refers to the path that heat is transferred from one object to another. In the heat transfer process, heat can be transferred in three main ways: heat conduction, heat convection and heat radiation.

[0028] Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain better results.

[0029] Machine Learning (ML) is a multi-disciplinary subject that involves probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory, and other disciplines. It specializes in studying how computers simulate or implement human learning behavior to acquire new knowledge or skills and reorganize existing knowledge sub-models to continuously improve their performance. Machine learning is the core of artificial intelligence and the fundamental way to make computers intelligent. Its applications are spread across all areas of artificial intelligence.

[0030] Normalization: Mapping sequences with different value ranges to the interval (0, 1) makes data processing easier. In some cases, the normalized values ​​can be directly implemented as probabilities.

[0031] Embedded Coding: Embedded coding mathematically represents a correspondence, that is, mapping data in X space to Y space through a function F, where the function F is an injective function, and the mapping result is structural preservation. The injective function indicates that the data after mapping is uniquely corresponding to the data before mapping, and structural preservation indicates that the size relationship of the data before mapping is the same as the size relationship of the data after mapping. For example, there are data X1 and X2 before mapping, and after mapping, Y1 corresponding to X1 and Y2 corresponding to X2 are obtained. If the data X1 before mapping is greater than X2, then correspondingly, the data Y1 after mapping is greater than Y2. For words, it means mapping the words to another space to facilitate subsequent machine learning and processing.

[0032] Attention weight: It can indicate the importance of a certain data in the training or prediction process. Importance indicates the influence of input data on output data. Data with high importance has a higher corresponding attention weight value, and data with low importance has a lower corresponding attention weight value. In different scenarios, the importance of data is different. The process of training the attention weight of the model is also the process of determining the importance of data.

[0033] After introducing some terms involved in the embodiments of the present application, the application scenarios of the embodiments of the present application are introduced below. Figure 1 is a schematic diagram of an implementation environment of a thermal management strategy optimization method for an energy storage device provided in an embodiment of the present application, see Figure 1 The technical solution provided in the embodiment of the present application can be applied in an energy storage device 100, and the energy storage device 100 includes: Battery 110: As a key technology route for new energy storage, batteries play a key role in improving the utilization rate of renewable energy and ensuring the safety and stability of the power system. Lithium batteries are the most commonly used energy storage batteries on the market and are widely recognized for their high efficiency and long life.

[0034] Thermal management system 120: By adjusting the temperature of the energy storage device, it is ensured that it operates in an optimal temperature environment, prolongs the service life of the battery, and improves the overall performance of the system. The technical solution provided in the embodiment of the present application is implemented by the thermal management system 120.

[0035] Bidirectional energy storage converter (PCS, Power Conversion System) 130: It can convert the AC power of the power grid into the DC power required by the battery, and can also convert the DC power stored in the battery into AC power for supply to the power grid.

[0036] Energy Management System (EMS) 140: Responsible for collecting, processing and analyzing data from various parts of the energy storage device to ensure the safe and efficient operation of the energy storage device.

[0037] Battery Management System (BMS) 150: The main function is to improve the utilization efficiency of the battery, prevent overcharging and discharging of the battery, and fully ensure the safe operation of the energy storage device.

[0038] After introducing the implementation environment of the embodiment of the present application, the thermal management strategy optimization method for the energy storage device provided by the embodiment of the present application is described below. Figure 2 is a flow chart of a thermal management strategy optimization method for an energy storage device provided in an embodiment of the present application, see Figure 2 Taking the thermal management system in which the execution subject is an energy storage device as an example, the method includes the following steps.

[0039] 201. A thermal management system obtains first component parameters and component connection parameters of a plurality of first components in an energy storage device and obtains second component parameters and component influence parameters of a plurality of second components in the energy storage device.

[0040] Among them, the multiple first components are components used for energy storage in the energy storage device, such as battery cells of the energy storage device, and the multiple second components are components used for heat dissipation in the energy storage device, such as heat sinks, cooling pipes, etc. The first component parameters include component attributes, component operating parameters and the first position of the corresponding first component, the component connection parameters are used to indicate the connection relationship between the multiple first components, the second component parameters include component attributes, component capabilities and the second position of the corresponding second component in the energy storage device, and the component influence parameters are used to indicate the preset heat dissipation correspondence between the corresponding second component and the first component. The component attributes of the first component include the chemical composition (such as the type of lithium compound in a lithium-ion battery) and physical structure (such as the shape and size of the electrode) of the first component, which will affect its energy storage capacity and heat generation characteristics. The component operating parameters cover the operating voltage, current, and charge and discharge rate, which reflect the real-time status of the first component during the operation of the energy storage device. The first position information is determined by a positioning sensor or based on a coordinate system inside the energy storage device, which helps to analyze the conduction path of heat in the device. The component connection parameters are obtained through circuit topology analysis, which clarifies the electrical connection method between multiple first components (series, parallel or mixed, etc.), which has an important impact on the transfer of heat between components. The component properties of the second component include the thermal conductivity, specific heat capacity and other physical properties of the heat dissipation material. The component capacity is the heat dissipation power, which depends on the design and material properties of the heat dissipation component. The second position is also determined by the positioning system, and the component influencing parameters are obtained through experiments or thermal simulation analysis. It represents the preset heat dissipation correspondence between the second component and the first component, such as the heat dissipation coupling relationship between a heat sink and a specific battery cell.

[0041] 202. The thermal management system determines a plurality of heat transfer paths of the energy storage device based on first component parameters of the plurality of first components and component connection parameters.

[0042] A heat transfer path connects N first components, where N is a positive integer. Considering factors such as the connection mode between the first components and the temperature characteristics of the first components, possible paths for heat to be transferred from one first component to another first component, namely the heat transfer path, are analyzed.

[0043] 203. The thermal management system determines a plurality of heat dissipation areas of the energy storage device and a plurality of heat dissipation paths connecting the plurality of heat dissipation areas based on the second component parameters of the plurality of second components and the component influencing parameters.

[0044] Different heat dissipation areas are divided according to the distribution of the second components in the energy storage device, and multiple heat dissipation paths connecting these heat dissipation areas can be determined by analyzing the connection relationship between the second components and the coupling relationship with the first components.

[0045] 204. During the operation of the energy storage device, the thermal management system obtains the operating temperatures of a plurality of preset positions in the energy storage device, where the plurality of preset positions are associated with the operating status of the energy storage device.

[0046] The working states of the energy storage device include an energy storage state, a discharge state, a standby state and a balance state, and the multiple preset positions corresponding to different working states are not completely the same.

[0047] 205. The thermal management system determines whether temperature imbalance occurs in the energy storage device based on the operating temperatures of the multiple preset positions.

[0048] Among them, temperature imbalance refers to the phenomenon that due to uneven heat generation and dissipation inside the energy storage device, there are large temperature differences between different areas or components.

[0049] 206. When temperature imbalance occurs in the energy storage device, the thermal management system controls the multiple second components to operate based on the multiple second component parameters, the multiple heat transfer paths, the multiple heat dissipation areas, and the multiple heat dissipation paths.

[0050] The purpose of controlling the multiple second components to work is to eliminate the temperature imbalance as quickly as possible to maintain the stable operation of the energy storage device.

[0051] Through the technical solution provided in the embodiment of the present application, various parameters of the first component and the second component in the energy storage device are comprehensively considered, and thermal management is performed more accurately, thereby reducing the impact of temperature fluctuations on energy storage efficiency and improving the stability of the energy storage device. In other words, it is possible to detect temperature imbalance in a timely manner and accurately control the operation of the second component based on a variety of factors, thereby avoiding damage to the first component and the second component due to local overheating, thereby reducing temperature-related performance degradation, extending the service life of the energy storage device, and reducing the cost of large-scale energy storage applications.

[0052] The above steps 201-206 are a brief introduction to the thermal management strategy optimization method for the energy storage device provided in the embodiment of the present application. The following will combine some examples to more clearly explain the thermal management strategy optimization method for the energy storage device provided in the embodiment of the present application. Figure 3 Taking the thermal management system in which the execution subject is an energy storage device as an example, the method includes the following steps.

[0053] 301. A thermal management system obtains first component parameters and component connection parameters of a plurality of first components in an energy storage device and obtains second component parameters and component influence parameters of a plurality of second components in the energy storage device.

[0054] Among them, the multiple first components are components used for energy storage in the energy storage device, such as battery cells of the energy storage device, and the multiple second components are components used for heat dissipation in the energy storage device, such as heat sinks, cooling pipes, etc. The first component parameters include component attributes, component operating parameters and the first position of the corresponding first component in the energy storage device. The component connection parameters are used to indicate the connection relationship between the multiple first components. The connection relationship between the multiple first components includes whether any two of the multiple first components are connected and the connection mode of the two first components when the two first components are connected. The connection mode includes direct connection and indirect connection (connection through other components). The form of the component connection parameters is similar to that of a graph network. The multiple first components are nodes, and the lines between the multiple first components can be used to indicate the connection relationship between the multiple first components. The component connection parameters are used to store the connection relationship between the multiple first components. The second component parameters include component attributes, component capabilities and the second position of the corresponding second component in the energy storage device. The component influence parameters are used to indicate the preset heat dissipation correspondence between the corresponding second component and the first component. The component properties of the first component include the chemical composition (such as the type of lithium compound in lithium-ion batteries) and physical structure (such as the shape and size of the electrode) of the first component, which will affect its energy storage capacity and heat generation characteristics. The component operating parameters cover the operating voltage, current, and charge and discharge rate, which reflect the real-time status of the first component during the operation of the energy storage device. The first position information is determined by a positioning sensor or a coordinate system based on the internal energy storage device, which helps to analyze the heat conduction path in the device. The component connection parameters are obtained through circuit topology analysis, which clarifies the electrical connection mode (series, parallel or mixed connection, etc.) between multiple first components, which has an important influence on the transfer of heat between components. The component properties of the second component include the thermal conductivity, specific heat capacity and other physical properties of the heat dissipation material. The component capacity is the heat dissipation power, which depends on the design and material properties of the heat dissipation component. The component properties of the second component include the component type of the second component, such as water cooling and air cooling; the component properties also include the size and shape of the second component. The second position is also determined by the positioning sensor, and the component influencing parameter is obtained through experiments or thermal simulation analysis, which represents the preset heat dissipation correspondence between the second component and the first component, such as the heat dissipation coupling relationship between a heat sink and a specific battery cell. In some embodiments, the first position, the second position, the preset position and other position-related concepts are all positions in the coordinate system corresponding to the energy storage device.

[0055] In a possible implementation, the thermal management system scans the energy storage device to obtain component connection parameters of multiple first components in the energy storage device. The thermal management system obtains component properties and first positions of the multiple first components from a storage medium. The thermal management system obtains component operating parameters of the multiple first components through working sensors of the multiple first components. The thermal management system obtains second component parameters and component influencing parameters of the multiple second components from the storage medium.

[0056] Among them, scanning the energy storage device can refer to performing a three-dimensional structural scan of the energy storage device, so as to obtain multiple first components in the energy storage device and the connection relationship between the multiple first components, so as to obtain component connection parameters of the multiple first components. The first component is an energy storage component, and the second component is a heat dissipation component. The component capacity of the second component is used to represent the heat dissipation capacity of the second component. For example, the component capacity can be represented by the heat dissipation power. The component properties of the first component, the component properties of the second component, and the component influencing parameters are calibrated by the technician and stored in the storage medium. The thermal management system can directly obtain the component properties of the multiple first components, the first position, the second component parameters of the multiple second components, and the component influencing parameters from the storage medium.

[0057] Under this implementation mode, the thermal management system can obtain various required parameters, laying a solid foundation for subsequent thermal management operations.

[0058] 302. The thermal management system determines a plurality of heat transfer paths of the energy storage device based on first component parameters of the plurality of first components and component connection parameters.

[0059] A heat transfer path connects N first components, where N is a positive integer. Considering factors such as the connection mode between the first components and the temperature characteristics of the first components, possible paths for heat to be transferred from one first component to another first component, namely the heat transfer path, are analyzed.

[0060] In a possible implementation, the thermal management system determines a plurality of initial heat transfer paths based on component connection parameters and component properties of the plurality of first components. The thermal management system determines an estimated component heat generation of each first component based on component operating parameters of the plurality of first components. The thermal management system determines the plurality of heat transfer paths based on the plurality of initial heat transfer paths, the estimated component heat generation of each first component, and component properties.

[0061] Among them, the component connection parameter is a parameter that describes the interconnection relationship between multiple first components. For example, in an energy storage device, if the first component is a battery cell, then the component connection parameter can indicate how the battery cells are connected, whether it is a series connection (the current passes through each battery cell in turn, and the voltage is accumulated), a parallel connection (the voltage is the same, and the current is divided between different battery cells) or a hybrid connection (including a combination of series and parallel connections), etc. These connection methods will have a direct impact on the heat conduction path between components, because the electrical and thermal interactions between components are different under different connection methods. Component properties are the characteristics of the first component itself. From a physical point of view, it may include the size, shape, thermal conductivity of the material, etc. of the component; from a chemical point of view, it involves the chemical composition, chemical reaction activity, etc. of the component. Taking a battery as an example, the composition of the electrode material of the battery and the chemical composition of the electrolyte are all component properties. These properties affect the thermal conductivity and heat generation mechanism of the component, and are therefore important considerations when determining the heat transfer path. The estimated component heat generation is the value of the heat that each first component may generate, calculated by the thermal management system based on the component operating parameters of the first component. During the operation of components, heat will be generated due to the passage of current, chemical reactions, etc.

[0062] In order to explain the above implementation more clearly, the above implementation will be explained in several parts below.

[0063] Part 1: The thermal management system determines a plurality of initial heat transfer paths based on component connection parameters and component properties of the plurality of first components.

[0064] Among them, the initial heat transfer path is the path that the thermal management system preliminarily determines the possible heat conduction path based on the component connection parameters and component properties. Considering the connection relationship between components (such as the connection lines between series or parallel battery cells) and the characteristics of the components themselves (such as the thermal conductivity of battery cells and other properties), the possible route for heat to pass from one component to another is determined. These initial heat transfer paths are the basis for further precise analysis and determination of the final heat transfer path, just like building a preliminary framework, and then optimizing it based on more factors.

[0065] In a possible implementation, the thermal management system generates a first graph network based on the component connection parameters and component parameters of the multiple first components, the first graph network including multiple first nodes, one first node corresponding to one first component, the connection between the multiple first nodes is determined by the component connection parameters, the node attribute of the first node is the component parameter corresponding to the first component, and the weight of the connection line is determined based on the first position of the first component. The thermal management system determines at least one target first node from the first graph network, the target first node is the first node with the most connections among the multiple first nodes. The thermal management system determines the multiple initial heat transfer paths based on the at least one target first node and the first graph network.

[0066] The first graph network can represent the connection relationship between multiple first nodes, that is, it can represent the connection relationship between multiple first components in the energy storage device. The weight of the connection line is determined based on the first position of the first component. For example, for any two first nodes, the weight of the connection line between the two first nodes is determined based on the distance between the two first components corresponding to the two first nodes, and the distance between the two first components is determined based on the first positions of the two first components.

[0067] For example, the thermal management system generates a first graph network based on the component connection parameters and component parameters of the multiple first components. The thermal management system determines the number of connections of the multiple first nodes in the first graph network, and determines the first node with the most connections among the multiple first nodes as the target first node. The thermal management system takes the at least one target first node as the starting point, performs path planning in the first graph network in combination with the first node characteristics, and obtains the multiple initial heat transfer paths.

[0068] Among them, the path planning is to find the shortest path to the outermost node in the first graph network, and the obtained initial heat transfer path connects M first nodes, the M first nodes correspond to M first components, and M is a positive integer.

[0069] For example, the thermal management system generates a first graph network based on the component connection parameters and component parameters of the multiple first components. The thermal management system determines the number of connections of the multiple first nodes in the first graph network, and determines the first node with the most connections among the multiple first nodes as the target first node. The thermal management system takes the at least one target first node as the starting point and the multiple connections of the at least one target first node as the direction for path planning to obtain multiple reference heat transfer paths. The thermal management system performs graph convolution on the multiple reference heat transfer paths to obtain the confidence of each reference heat transfer path, and convolves the node features of the first node on the reference heat transfer path during the graph convolution process. The thermal management system determines the reference heat transfer path with a confidence greater than or equal to the confidence threshold among the multiple reference heat transfer paths as the initial heat transfer path, thereby obtaining multiple initial heat transfer paths.

[0070] The following is an explanation through a specific example. Take the first component as a battery cell, in a battery energy storage device. If there are battery cells A, B, C, D, etc. The component connection parameters show that A is connected in series with B, B is connected in parallel with C, and C is connected in series with D. The component parameters include information such as the capacity and internal resistance of the battery cell. Based on these, the first graph network is constructed, and A, B, C, and D correspond to the first nodes a, b, c, and d respectively. There is a line between a and b, two lines between b and c, and a line between c and d. The node attributes of node b include information such as the capacity and internal resistance of battery cell B. If B and C are physically adjacent and easy to conduct heat, the weight of the connection line between b and c is higher. In this graph network, it is found that node b is the target first node with the most connections. Then, based on node b and the first graph network, the initial heat transfer path from B to C and then to D is determined.

[0071] Part 2: The thermal management system determines the estimated component heating value of each first component based on the component operating parameters of the plurality of first components.

[0072] Among them, component operating parameters include operating voltage, current, charge and discharge rate, etc.

[0073] In a possible implementation, for any first component among the multiple first components, the thermal management system inputs the operating voltage, current, and charge / discharge rate of the first component into a heat estimation model, and extracts features of the operating voltage, current, and charge / discharge rate of the first component through the heat estimation model to obtain component operating features of the first component. The thermal management system processes the component operating features of the first component through the heat estimation model to obtain an estimated component calorific value of the first component.

[0074] Among them, the heat prediction model is a regression model, which is trained based on the component working parameters of multiple sample first components and the labeled component calorific value of each sample first component. The embodiment of the present application does not limit the structure and type of the heat prediction model.

[0075] For example, for any first component among the multiple first components, the thermal management system inputs the operating voltage, current, and charge / discharge rate of the first component into a heat estimation model, and performs multiple full connections on the operating voltage, current, and charge / discharge rate of the first component through the heat estimation model to obtain the component operating characteristics of the first component. The thermal management system performs full connections and normalization on the component operating characteristics of the first component through the heat estimation model to obtain the estimated component heating value of the first component.

[0076] Part 3: The thermal management system determines the multiple heat transfer paths based on the multiple initial heat transfer paths, the estimated component heat generation of each first component, and component properties.

[0077] In a possible implementation, for any of the multiple initial heat transfer paths, the thermal management system determines the estimated heat transfer of the initial heat transfer path based on the estimated heat generation of the M first components on the initial heat transfer path and the component properties, where M is a positive integer. The thermal management system determines the heat transfer weight of the initial heat transfer path based on the estimated heat transfer of the initial heat transfer path and a reference heat transfer, the reference heat transfer is determined based on the estimated heat transfer of multiple preset heat transfer paths of the energy storage device, and the heat transfer weight is used to indicate the importance of the initial heat transfer path. The thermal management system determines the multiple heat transfer paths from the multiple initial heat transfer paths based on the estimated heat transfer and heat transfer weights of the multiple initial heat transfer paths.

[0078] The preset heat transfer path is a heat transfer path configured in advance, and the reference heat transfer value is an average value of the estimated heat transfer values ​​of multiple preset heat transfer paths.

[0079] For example, for any initial heat transfer path among the multiple initial heat transfer paths, the thermal management system determines the heat generation weights of the M first components based on the component properties of the M first components on the initial heat transfer path. The thermal management system adopts the heat generation weights of the M first components, fuses the component estimated heat generation of the M first components, and obtains the estimated heat transfer of the initial heat transfer path. The thermal management system divides the estimated heat transfer of the initial heat transfer path by the reference heat transfer to obtain the heat transfer weight of the initial heat transfer path. The thermal management system fuses the estimated heat transfer and heat transfer weight of each initial heat transfer path to obtain the heat transfer score of each initial heat transfer path. The thermal management system determines the initial heat transfer path whose heat transfer score among the multiple initial heat transfer paths is greater than or equal to the preset score as the multiple heat transfer paths.

[0080] The heat transfer weight is used to indicate the amount of heat transferred in the initial heat transfer path, and the heat transfer score is used to indicate the importance of heat transfer in the initial heat transfer path.

[0081] 303. The thermal management system determines a plurality of heat dissipation regions of the energy storage device and a plurality of heat dissipation paths connecting the plurality of heat dissipation regions based on the second component parameters of the plurality of second components and the component influencing parameters.

[0082] Among them, different heat dissipation areas are divided according to the distribution of the second components in the energy storage device. By analyzing the connection relationship between the second components and the coupling relationship with the first component, multiple heat dissipation paths connecting these heat dissipation areas can be determined. In the embodiment of the present application, the heat transfer path is the path connecting the first component, and the heat dissipation path is the path connecting the second component.

[0083] In a possible implementation, the thermal management system determines the component influence range of each second component based on the component capacity, the second position, and the component influence parameter in the second component parameters of the multiple second components. The thermal management system determines multiple heat dissipation areas of the energy storage device based on the component attributes and the component influence range in the second component parameters of each second component. The thermal management system determines the multiple heat dissipation paths based on the second position of each second component and the multiple heat dissipation areas.

[0084] The component impact range refers to the range that the heat dissipation capacity of the second component can affect when it is running.

[0085] In order to explain the above implementation more clearly, the above implementation will be explained in several parts below.

[0086] Part 1: The thermal management system determines a component influence range of each second component based on the component capability, the second position, and the component influence parameter among the second component parameters of the plurality of second components.

[0087] In a possible implementation, the thermal management system determines an initial component influence range of each second component based on the second positions and component influence parameters of the plurality of second components. The thermal management system determines a component influence range of each second component based on a component capability of each second component and the initial component influence range.

[0088] For example, for any second component among the plurality of second components, the thermal management system determines at least one first associated first component corresponding to the second component based on the component influence parameter of the second component. The thermal management system determines at least one second associated first component based on the second position of the second component and the first position of the at least one first associated first component, and the distance between the second associated first component and the second component is less than or equal to the distance between the second component and the first associated first component. The thermal management system determines the range corresponding to the at least one first associated first component and the at least one second associated first component as the initial component influence range of the second component, and the initial component influence range is a circle with the second component as the center. The thermal management system determines the first heat dissipation influence coefficient based on the component capacity of the second component, and the first heat dissipation influence coefficient is positively correlated with the component capacity. The thermal management system uses the first heat dissipation influence coefficient of the second component to correct the initial component influence range of the second component, that is, the first heat dissipation influence coefficient of the second component is multiplied by the radius of the initial component influence range, and the component influence range of the second component is obtained when the center of the circle remains unchanged.

[0089] Among them, generally speaking, the component capacity is positively correlated with the first heat dissipation influence coefficient, that is, the stronger the component capacity, the greater the first heat dissipation influence coefficient; the weaker the component capacity, the smaller the first heat dissipation influence coefficient. When the component capacity is represented by the heat dissipation power, the heat dissipation power is positively correlated with the first heat dissipation influence coefficient. The first heat dissipation influence coefficient is a coefficient with a dimension of 1, and the result after multiplication with other physical quantities retains the dimensions of other physical quantities. The correspondence between the component capacity and the first heat dissipation influence coefficient is set by the technician according to the actual situation, and the embodiments of the present application do not limit this.

[0090] Part 2: The thermal management system determines multiple heat dissipation areas of the energy storage device based on the component attributes in the second component parameters of each second component and the component influence range.

[0091] In a possible implementation, the thermal management system performs secondary correction on the component influence range of each second component based on the component attributes in the second component parameters of each second component to obtain the target component influence range of each second component. The thermal management system merges the target component influence ranges that overlap and whose overlap area is greater than or equal to the preset area to obtain multiple heat dissipation areas.

[0092] Among them, the preset area is set by technical personnel according to actual conditions, and the embodiments of the present application do not limit this.

[0093] For example, the thermal management system determines the second heat dissipation influence coefficient of each second component based on the component attributes in the second component parameters of each second component. The thermal management system uses the second heat dissipation influence coefficient of the second component to correct the component influence range of the second component, that is, the second heat dissipation influence coefficient of the second component is multiplied by the radius of the component influence range, and the target component influence range of the second component is obtained when the center of the circle remains unchanged. The thermal management system merges the target component influence ranges that overlap and whose overlapping areas are greater than or equal to the preset area to obtain multiple heat dissipation areas.

[0094] Part 3: The thermal management system determines the multiple heat dissipation paths based on the second positions of the second components and the multiple heat dissipation areas.

[0095] In a possible implementation, the thermal management system determines the third position of each heat dissipation area in the energy storage device based on the second position of the second component in each heat dissipation area. The thermal management system determines the multiple heat dissipation paths based on the third position of each heat dissipation area in the energy storage device, and the distance between the heat dissipation areas on a heat dissipation path is less than or equal to the distance threshold.

[0096] For example, for any heat dissipation area among the multiple heat dissipation areas, the thermal management system determines the average position of the second position of the second component in the heat dissipation area as the third position of the heat dissipation area. The thermal management system divides two heat dissipation areas whose distance among the multiple heat dissipation areas is less than or equal to the distance threshold into the same heat dissipation path, thereby obtaining multiple heat dissipation paths.

[0097] Among them, the second position of the second component is represented by the position coordinates, and accordingly, the average position of the second position of the second component in the heat dissipation area is represented by the average coordinates of the position coordinates of the second component. For example, there are two second components in the heat dissipation area, the position coordinates of one second component are (a, b), and the position coordinates of the other second component are (c, d), then the average position of the two second components is represented by the average coordinates ((a+c) / 2, (b+d) / 2).

[0098] 304. During the operation of the energy storage device, the thermal management system obtains the operating temperatures of a plurality of preset positions in the energy storage device, where the plurality of preset positions are associated with the operating status of the energy storage device.

[0099] The working states of the energy storage device include an energy storage state, a discharge state, a standby state and a balance state, and the multiple preset positions corresponding to different working states are not completely the same.

[0100] In a possible implementation, during the operation of the energy storage device, the thermal management system determines the operating state of the energy storage device. The thermal management system determines a plurality of preset positions corresponding to the operating state of the energy storage device. The thermal management system obtains the operating temperatures of the plurality of preset positions through temperature sensors at the plurality of preset positions.

[0101] 305. The thermal management system determines whether temperature imbalance occurs in the energy storage device based on the operating temperatures of the multiple preset positions.

[0102] Among them, temperature imbalance refers to the phenomenon that due to uneven heat generation and dissipation inside the energy storage device, there are large temperature differences between different areas or components.

[0103] In a possible implementation, the thermal management system determines the operating temperature difference between every two preset positions in the plurality of preset positions. When the operating temperature difference between any two preset positions is greater than or equal to a temperature difference threshold, the thermal management system determines that the energy storage device has a temperature imbalance. When the operating temperature difference between every two preset positions in the plurality of preset positions is less than the temperature difference threshold, the thermal management system determines that the energy storage device has no temperature imbalance.

[0104] Among them, the temperature difference threshold is set by technical personnel according to actual conditions, and the embodiments of the present application do not limit this.

[0105] 306. When temperature imbalance occurs in the energy storage device, the thermal management system controls the multiple second components to operate based on the multiple second component parameters, the multiple heat transfer paths, the multiple heat dissipation areas, and the multiple heat dissipation paths.

[0106] The purpose of controlling the multiple second components to work is to eliminate the temperature imbalance as quickly as possible to maintain the stable operation of the energy storage device.

[0107] In a possible implementation, when temperature imbalance occurs in the energy storage device, the thermal management system determines at least two target positions from the multiple preset positions and the operating temperature difference between the at least two target positions, and the target position is a preset position with a high degree of temperature imbalance. Based on the at least two target positions, the thermal management system determines at least two target heat dissipation areas from the multiple heat dissipation areas and at least two target heat transfer paths from the multiple heat transfer paths, one target heat dissipation area corresponds to one target position, and one target heat transfer path corresponds to one target position. Based on the at least two target heat transfer paths, the thermal management system determines at least one reference heat dissipation area from the multiple heat dissipation areas, and the reference heat dissipation area is a heat dissipation area covering the at least two target heat transfer paths. Based on the at least two target heat dissipation areas and the at least one reference heat dissipation area, the thermal management system determines at least one target heat dissipation path from the multiple heat dissipation paths. Based on the at least two target heat dissipation areas and the at least one reference heat dissipation area, the thermal management system determines at least one target heat dissipation path from the multiple heat dissipation paths. Based on the at least one target heat dissipation path, the thermal management system determines multiple target second components from the multiple second components. The thermal management system determines the target second component parameters of the multiple target second components from the multiple second component parameters. The thermal management system determines component control parameters of the plurality of target second components based on the target second component parameters of the plurality of target second components, the operating temperature difference between the at least two target positions, and the at least two target positions. The thermal management system uses the component control parameters of the plurality of target second components to control the plurality of target second components to operate.

[0108] Wherein, a high degree of temperature imbalance means a large temperature difference, for example, at least two target positions are preset positions where the temperature difference between the operating temperatures is the largest among the multiple preset positions. The component control parameter is used to control the working state of the second component, for example, when the second component is a fan, the component control parameter includes the speed of the fan. When the second component is a water cooling pump, the component control parameter includes the power of the water pump.

[0109] In order to explain the above implementation more clearly, the above implementation will be explained in several parts below.

[0110] Part 1: The thermal management system determines at least two target heat dissipation areas from the multiple heat dissipation areas and at least two target heat transfer paths from the multiple heat transfer paths based on the at least two target positions.

[0111] In a possible implementation, the thermal management system determines the heat dissipation areas covering the at least two target positions among the multiple heat dissipation areas as the at least two target heat dissipation areas. The thermal management system determines the heat transfer paths passing through the at least two target positions among the multiple heat transfer paths as the at least two target heat transfer paths.

[0112] Part 2: The thermal management system determines at least one reference heat dissipation area from the plurality of heat dissipation areas based on the at least two target heat transfer paths.

[0113] In a possible implementation, the thermal management system determines a heat dissipation region covering the at least two target heat transfer paths among the multiple heat dissipation regions as a reference heat dissipation region, and the reference heat dissipation region does not include the at least two target heat dissipation regions.

[0114] Part 3: The thermal management system determines at least one target heat dissipation path from the multiple heat dissipation paths based on the at least two target heat dissipation areas and the at least one reference heat dissipation area.

[0115] In a possible implementation, the thermal management system determines, from a plurality of heat dissipation paths, a heat dissipation path passing through the at least two target heat dissipation regions and the at least one reference heat dissipation region as a target heat dissipation path.

[0116] Part 4: The thermal management system determines a plurality of target second components from the plurality of second components based on the at least one target heat dissipation path.

[0117] In a possible implementation, the thermal management system determines, from the plurality of second components, a plurality of target second components connected by the at least one target heat dissipation path.

[0118] Part 5: The thermal management system determines target second component parameters of the plurality of target second components from the plurality of second component parameters.

[0119] In a possible implementation manner, the thermal management system obtains the target second component parameters of the plurality of target second components from the plurality of second component parameters.

[0120] Part Six: The thermal management system determines component control parameters of the plurality of target second components based on the target second component parameters of the plurality of target second components, the operating temperature difference between the at least two target positions, and the at least two target positions.

[0121] In a possible implementation, the thermal management system determines the initial component control parameters of the multiple target second components based on the component attributes and component capabilities in the target second component parameters of the multiple target second components and the operating temperature difference between the at least two target positions. The thermal management system determines the control parameter correction coefficient based on the position difference between the second position in the target second component parameters of the multiple target second components and the at least two target positions. The thermal management system fuses the initial component control parameters of the multiple target second components with the control parameter correction coefficient to obtain the component control parameters of the multiple target second components.

[0122] For example, for any target second component among multiple target second components, the thermal management system inputs the target second component attribute, component capability and the operating temperature difference between the at least two target positions into the control parameter prediction model, and extracts the characteristics of the target second component attribute, component capability and the operating temperature difference between the at least two target positions through the control parameter prediction model to obtain the component control characteristics of the target second component. The thermal management system fully connects and normalizes the component control characteristics of the target second component through the control parameter prediction model to obtain the probability set of the target second component, and the probability set includes multiple probabilities, and one probability corresponds to one candidate component control parameter. The thermal management system determines the candidate component control parameter with the highest corresponding probability among the multiple candidate component control parameters as the initial component control parameter of the target second component. The thermal management system uses the position difference between the second position in the target second component parameter of the target second component and the at least two target positions to query and obtain the control parameter correction coefficient. The thermal management system multiplies the initial component control parameter of the target second component by the control parameter correction coefficient to obtain the component control parameter of the target second component.

[0123] Among them, the control parameter prediction model is a multi-classification model, and the structure and type of the control parameter prediction model are not limited in the embodiment of the present application. The corresponding relationship between the position difference and the control parameter correction coefficient is set by the technician according to the actual situation, and the embodiment of the present application does not limit this.

[0124] Part 7: The thermal management system adopts the component control parameters of the multiple target second components to control the multiple target second components to work.

[0125] In a possible implementation, the thermal management system sends the component control parameters of each target second component to the corresponding target second component, so that the target second component operates according to the corresponding component control parameters.

[0126] Optionally, after step 306, the following steps can also be performed.

[0127] 307. After a preset period of time, the thermal management system determines whether the temperature imbalance of the energy storage device disappears, and if the temperature imbalance of the energy storage device has not disappeared, redetermines the multiple target second components and component control parameters of the redetermined multiple target second components, and uses the redetermined component control parameters to control the redetermined multiple target second components to operate.

[0128] The preset duration is set by the technician according to the actual situation, and the present application embodiment does not limit this. The method of re-determining multiple target second components and component control parameters belongs to the same inventive concept as described in the above step 306, and the implementation process is not repeated.

[0129] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present application, which will not be described one by one here.

[0130] Through the technical solution provided in the embodiment of the present application, various parameters of the first component and the second component in the energy storage device are comprehensively considered, and thermal management is performed more accurately, thereby reducing the impact of temperature fluctuations on energy storage efficiency and improving the stability of the energy storage device. In other words, it is possible to detect temperature imbalance in a timely manner and accurately control the operation of the second component based on a variety of factors, thereby avoiding damage to the first component and the second component due to local overheating, thereby reducing temperature-related performance degradation, extending the service life of the energy storage device, and reducing the cost of large-scale energy storage applications.

[0131] Figure 4 is a schematic diagram of a thermal management strategy optimization device for an energy storage device provided in an embodiment of the present application, see Figure 4 The device includes: an acquisition module 401, a path determination module 402, a temperature imbalance judgment module 403 and a control module 404.

[0132] The acquisition module 401 is used to acquire first component parameters and component connection parameters of multiple first components in the energy storage device and to acquire second component parameters and component influence parameters of multiple second components in the energy storage device, wherein the multiple first components are components used for energy storage in the energy storage device, and the multiple second components are components used for heat dissipation in the energy storage device. The first component parameters include component properties, component operating parameters and a first position in the energy storage device corresponding to the first components, the component connection parameters are used to indicate a connection relationship between the multiple first components, the second component parameters include component properties, component capabilities and a second position in the energy storage device corresponding to the second components, and the component influence parameters are used to indicate a preset heat dissipation correspondence relationship between the corresponding second components and the first components.

[0133] The path determination module 402 is used to determine multiple heat transfer paths of the energy storage device based on the first component parameters of the multiple first components and the component connection parameters, where one heat transfer path connects N first components, where N is a positive integer. Based on the second component parameters of the multiple second components and the component influencing parameters, determine multiple heat dissipation areas of the energy storage device and multiple heat dissipation paths connecting the multiple heat dissipation areas.

[0134] The temperature imbalance judgment module 403 is used to obtain the operating temperatures of multiple preset positions in the energy storage device during the operation of the energy storage device, and determine whether the energy storage device has temperature imbalance based on the operating temperatures of the multiple preset positions, and the multiple preset positions are associated with the working state of the energy storage device.

[0135] The control module 404 is used to control the multiple second components to work based on the multiple second component parameters, the multiple heat transfer paths, the multiple heat dissipation areas and the multiple heat dissipation paths when temperature imbalance occurs in the energy storage device.

[0136] In a possible implementation, the path determination module 402 is used to determine a plurality of initial heat transfer paths based on the component connection parameters and component properties of the plurality of first components. Determine the estimated component heat generation of each of the first components based on the component operating parameters of the plurality of first components. Determine the plurality of heat transfer paths based on the plurality of initial heat transfer paths, the estimated component heat generation of each of the first components, and the component properties.

[0137] In a possible implementation, the path determination module 402 is used to generate a first graph network based on the component connection parameters and component parameters of the multiple first components, the first graph network includes multiple first nodes, one of the first nodes corresponds to a first component, the connection between the multiple first nodes is determined by the component connection parameters, the node attribute of the first node is the component parameter corresponding to the first component, and the weight of the connection line is determined based on the first position of the first component. At least one target first node is determined from the first graph network, and the target first node is the first node with the most connections among the multiple first nodes. Based on the at least one target first node and the first graph network, the multiple initial heat transfer paths are determined.

[0138] In a possible implementation, the path determination module 402 is used to determine the estimated heat transfer of any initial heat transfer path among the multiple initial heat transfer paths based on the estimated heat generation of the M first components on the initial heat transfer path and the component properties, where M is a positive integer. Based on the estimated heat transfer of the initial heat transfer path and a reference heat transfer, a heat transfer weight of the initial heat transfer path is determined, the reference heat transfer is determined based on the estimated heat transfer of multiple preset heat transfer paths of the energy storage device, and the heat transfer weight is used to indicate the importance of the initial heat transfer path. Based on the estimated heat transfer and heat transfer weights of the multiple initial heat transfer paths, the multiple heat transfer paths are determined from the multiple initial heat transfer paths.

[0139] In a possible implementation, the path determination module 402 is used to determine the component influence range of each of the second components based on the component capability, the second position, and the component influence parameter in the second component parameters of the multiple second components. Based on the component attributes and the component influence range in the second component parameters of each of the second components, multiple heat dissipation areas of the energy storage device are determined. Based on the second position of each of the second components and the multiple heat dissipation areas, the multiple heat dissipation paths are determined.

[0140] In a possible implementation, the path determination module 402 is used to determine the initial component influence range of each of the second components based on the second positions and component influence parameters of the plurality of second components, and to determine the component influence range of each of the second components based on the component capabilities of each of the second components and the initial component influence range.

[0141] In a possible implementation, the path determination module 402 is used to perform secondary correction on the component influence range of each second component based on the component attribute in the second component parameter of each second component to obtain the target component influence range of each second component. The target component influence ranges that overlap and whose overlap area is greater than or equal to the preset area are merged to obtain multiple heat dissipation areas of the energy storage device.

[0142] In a possible implementation, the path determination module 402 is used to determine the third position of each heat dissipation area in the energy storage device based on the second position of the second component in each heat dissipation area. Based on the third position of each heat dissipation area in the energy storage device, the multiple heat dissipation paths are determined, and the distance between the heat dissipation areas on one of the heat dissipation paths is less than or equal to the distance threshold.

[0143] In a possible implementation, the control module 404 is used to determine at least two target positions and the operating temperature difference between the at least two target positions from the multiple preset positions when temperature imbalance occurs in the energy storage device, and the target position is a preset position with a high degree of temperature imbalance. Based on the at least two target positions, at least two target heat dissipation areas are determined from the multiple heat dissipation areas and at least two target heat transfer paths are determined from the multiple heat transfer paths, one target heat dissipation area corresponds to one target position, and one target heat transfer path corresponds to one target position. Based on the at least two target heat transfer paths, at least one reference heat dissipation area is determined from the multiple heat dissipation areas, and the reference heat dissipation area is a heat dissipation area covering the at least two target heat transfer paths. Based on the at least two target heat dissipation areas and the at least one reference heat dissipation area, at least one target heat dissipation path is determined from the multiple heat dissipation paths. Based on the at least one target heat dissipation path, multiple target second components are determined from the multiple second components. Target second component parameters of the multiple target second components are determined from the multiple second component parameters. Based on the target second component parameters of the multiple target second components, the operating temperature difference between the at least two target positions, and the at least two target positions, component control parameters of the multiple target second components are determined, and the multiple target second components are controlled to work using the component control parameters of the multiple target second components.

[0144] In a possible implementation, the control module 404 is used to determine the initial component control parameters of the multiple target second components based on the component attributes and component capabilities in the target second component parameters of the multiple target second components and the operating temperature difference between the at least two target positions. Determine the control parameter correction coefficient based on the position difference between the second position in the target second component parameters of the multiple target second components and the at least two target positions. The initial component control parameters of the multiple target second components are fused with the control parameter correction coefficient to obtain the component control parameters of the multiple target second components.

[0145] It should be noted that: the thermal management strategy optimization device for energy storage devices provided in the above embodiment only uses the division of the above functional modules as an example when performing model warning. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the thermal management system is divided into different functional modules to complete all or part of the functions described above. In addition, the thermal management strategy optimization device for energy storage devices provided in the above embodiment and the thermal management strategy optimization method embodiment for energy storage devices belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0146] Through the technical solution provided in the embodiment of the present application, various parameters of the first component and the second component in the energy storage device are comprehensively considered, and thermal management is performed more accurately, thereby reducing the impact of temperature fluctuations on energy storage efficiency and improving the stability of the energy storage device. In other words, it is possible to detect temperature imbalance in a timely manner and accurately control the operation of the second component based on a variety of factors, thereby avoiding damage to the first component and the second component due to local overheating, thereby reducing temperature-related performance degradation, extending the service life of the energy storage device, and reducing the cost of large-scale energy storage applications.

[0147] Figure 5 It is a structural diagram of a thermal management system provided by an embodiment of the present application. The thermal management system 120 may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) 121 and one or more memories 122, wherein the one or more memories 122 store at least one computer program, and the at least one computer program is loaded and executed by the one or more processors 121 to implement the methods provided by the above-mentioned various method embodiments. Of course, the thermal management system 120 may also have components such as a wired or wireless network interface, a keyboard, and an input and output interface for input and output. The thermal management system 120 may also include other components for implementing device functions, which will not be repeated here.

[0148] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory including a computer program, and the computer program can be executed by a processor to complete the thermal management strategy optimization method for an energy storage device in the above embodiment. For example, the computer-readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0149] In an exemplary embodiment, a computer program product or a computer program is also provided, which includes a program code, and the program code is stored in a computer-readable storage medium. A processor of a computer device reads the program code from the computer-readable storage medium, and the processor executes the program code, so that the computer device executes the above-mentioned thermal management strategy optimization method for an energy storage device.

[0150] In some embodiments, the computer program involved in the embodiments of the present application may be deployed and executed on a computer device, or on multiple computer devices located at one location, or on multiple computer devices distributed at multiple locations and interconnected by a communication network. Multiple computer devices distributed at multiple locations and interconnected by a communication network may constitute a blockchain system.

[0151] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0152] The above are only optional embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A thermal management strategy optimization method for an energy storage device, characterized in that: The method comprises: Obtaining first component parameters and component connection parameters of multiple first components in an energy storage device and obtaining second component parameters and component influence parameters of multiple second components in the energy storage device, wherein the multiple first components are components in the energy storage device used for energy storage, and the multiple second components are components in the energy storage device used for heat dissipation, the first component parameters include component attributes, component operating parameters, and a first position in the energy storage device corresponding to the first components, the component connection parameters are used to indicate a connection relationship between the multiple first components, the second component parameters include component attributes, component capabilities, and a second position in the energy storage device corresponding to the second components, and the component influence parameters are used to indicate a preset heat dissipation correspondence relationship between the corresponding second components and the first components; Based on the first component parameters and component connection parameters of the multiple first components, determine multiple heat transfer paths of the energy storage device, one heat transfer path connects N first components, N is a positive integer; based on the second component parameters and component influencing parameters of the multiple second components, determine multiple heat dissipation areas of the energy storage device and multiple heat dissipation paths connecting the multiple heat dissipation areas; During the operation of the energy storage device, obtaining the operating temperatures of a plurality of preset positions in the energy storage device, and determining whether the energy storage device has a temperature imbalance based on the operating temperatures of the plurality of preset positions, wherein the plurality of preset positions are associated with the operating state of the energy storage device; In the event of temperature imbalance in the energy storage device, the plurality of second components are controlled to operate based on the plurality of second component parameters, the plurality of heat transfer paths, the plurality of heat dissipation areas, and the plurality of heat dissipation paths.

2. The method according to claim 1, characterized in that The determining of a plurality of heat transfer paths of the energy storage device based on the first component parameters of the plurality of first components and the component connection parameters comprises: determining a plurality of initial heat transfer paths based on component connection parameters and component properties of the plurality of first components; Determining an estimated component heating value of each of the first components based on component operating parameters of the plurality of first components; The plurality of heat transfer paths are determined based on the plurality of initial heat transfer paths, the estimated component heating values ​​of the respective first components, and component properties.

3. The method according to claim 2, characterized in that The determining of a plurality of initial heat transfer paths based on the component connection parameters and component properties of the plurality of first components comprises: Based on the component connection parameters and component parameters of the plurality of first components, a first graph network is generated, wherein the first graph network includes a plurality of first nodes, one of the first nodes corresponds to one first component, the connection lines between the plurality of first nodes are determined by the component connection parameters, the node attributes of the first nodes are the component parameters corresponding to the first components, and the weights of the connection lines are determined based on the first positions of the first components; Determine at least one target first node from the first graph network, wherein the target first node is the first node with the most connections among the plurality of first nodes; Based on the at least one target first node and the first graph network, the plurality of initial heat transfer paths are determined.

4. The method according to claim 2, characterized in that: The determining of the plurality of heat transfer paths based on the plurality of initial heat transfer paths, the estimated component heat generation of each of the first components, and component properties comprises: For any initial heat transfer path among the multiple initial heat transfer paths, determining an estimated heat transfer value of the initial heat transfer path based on the estimated heat values ​​of the M first components on the initial heat transfer path and component properties, where M is a positive integer; Determining a heat transfer weight of the initial heat transfer path based on an estimated heat transfer amount and a reference heat transfer amount of the initial heat transfer path, wherein the reference heat transfer amount is determined based on an estimated heat transfer amount of a plurality of preset heat transfer paths of the energy storage device, and the heat transfer weight is used to indicate the importance of the initial heat transfer path; The plurality of heat transfer paths are determined from the plurality of initial heat transfer paths based on the estimated heat transfer amounts and heat transfer weights of the plurality of initial heat transfer paths.

5. The method according to claim 1, characterized in that: The determining, based on the second component parameters of the plurality of second components and the component influencing parameters, a plurality of heat dissipation areas of the energy storage device and a plurality of heat dissipation paths connecting the plurality of heat dissipation areas comprises: Determining a component influence range of each of the second components based on the component capability, the second position, and the component influence parameter in the second component parameters of the plurality of second components; Determining a plurality of heat dissipation areas of the energy storage device based on the component attributes and component influence ranges in the second component parameters of each of the second components; The plurality of heat dissipation paths are determined based on the second positions of the respective second components and the plurality of heat dissipation areas.

6. The method according to claim 5, characterized in that The determining the component influence range of each of the second components based on the component capability, the second position, and the component influence parameter in the second component parameters of the plurality of second components includes: Determining an initial component influence range of each of the second components based on the second positions and component influence parameters of the plurality of second components; Based on the component capabilities of each of the second components and the initial component impact range, the component impact range of each of the second components is determined.

7. The method according to claim 5, characterized in that The determining of a plurality of heat dissipation areas of the energy storage device based on the component attributes and component influence range in the second component parameters of each of the second components includes: Based on the component attributes in the second component parameters of each of the second components, a second correction is performed on the component influence range of each of the second components to obtain a target component influence range of each of the second components; The overlapping influence ranges of the target components whose overlapping areas are greater than or equal to the preset area are merged to obtain a plurality of heat dissipation areas of the energy storage device.

8. The method according to claim 5, characterized in that The determining the plurality of heat dissipation paths based on the second positions of the second components and the plurality of heat dissipation areas comprises: Determining a third position of each of the heat dissipation regions in the energy storage device based on a second position of the second component in each of the heat dissipation regions; The plurality of heat dissipation paths are determined based on the third position of each of the heat dissipation areas in the energy storage device, and the distance between the heat dissipation areas on one of the heat dissipation paths is less than or equal to a distance threshold.

9. The method according to claim 1, characterized in that: In the case where temperature imbalance occurs in the energy storage device, based on the multiple second component parameters, the multiple heat transfer paths, the multiple heat dissipation areas, and the multiple heat dissipation paths, controlling the multiple second components to operate includes: In the case of temperature imbalance in the energy storage device, determining at least two target positions and an operating temperature difference between the at least two target positions from the plurality of preset positions, the target position being a preset position with a high degree of temperature imbalance; Based on the at least two target positions, determining at least two target heat dissipation areas from the plurality of heat dissipation areas and determining at least two target heat transfer paths from the plurality of heat transfer paths, one target heat dissipation area corresponding to one target position, and one target heat transfer path corresponding to one target position; Based on the at least two target heat transfer paths, determining at least one reference heat dissipation area from the multiple heat dissipation areas, the reference heat dissipation area being a heat dissipation area covering the at least two target heat transfer paths; Determining at least one target heat dissipation path from the plurality of heat dissipation paths based on the at least two target heat dissipation areas and the at least one reference heat dissipation area; determining a plurality of target second components from the plurality of second components based on the at least one target heat dissipation path; determining target second component parameters of the plurality of target second components from the plurality of second component parameters; determining component control parameters of the plurality of target second components based on target second component parameters of the plurality of target second components, an operating temperature difference between the at least two target locations, and the at least two target locations; The component control parameters of the plurality of target second components are used to control the plurality of target second components to operate.

10. The method according to claim 9, characterized in that The determining component control parameters of the plurality of target second components based on the target second component parameters of the plurality of target second components, the operating temperature difference between the at least two target positions, and the at least two target positions comprises: determining initial component control parameters of the plurality of target second components based on component attributes and component capabilities in target second component parameters of the plurality of target second components and an operating temperature difference between the at least two target locations; determining a control parameter correction coefficient based on a position difference between a second position of the target second component parameters of the plurality of target second components and the at least two target positions; The initial component control parameters of the plurality of target second components are fused with the control parameter correction coefficient to obtain the component control parameters of the plurality of target second components.

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