A thermal management strategy optimization method for energy storage device

Abstract

The present application discloses a method for optimizing a thermal management strategy for an energy storage device, belonging to the field of energy storage management. The method includes: obtaining the first component parameters and component connection parameters of a plurality of first components in the energy storage device, and obtaining the second component parameters and component influence parameters of a plurality of second components in the energy storage device; determining a plurality of heat transfer paths of the energy storage device based on the first component parameters and component connection parameters of the plurality of first components; determining 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 and component influence parameters of the plurality of second components; and when the energy storage device has a temperature imbalance during operation, controlling the plurality of second components to operate based on the plurality of second component parameters, the plurality of heat transfer paths, the plurality of heat dissipation regions, and the plurality of heat dissipation paths.

Description

Technical Field

[0001] This application relates to the field of energy storage management, and particularly to a method for optimizing the thermal management strategy of 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 lifespan. Effective thermal management can improve the overall efficiency of energy storage devices and ensure their stable operation.

[0003] Currently, there are certain limitations in the thermal management strategies of energy storage devices. When considering thermal management, many existing technologies often fail to comprehensively integrate various parameters of energy storage components and heat dissipation components. Moreover, most of them perform heat dissipation treatment on a single component or a local area separately, without optimizing from the overall structure of the energy storage device.

[0004] This situation leads to the phenomenon of temperature imbalance in the energy storage device during operation. And when temperature imbalance occurs, it is difficult to accurately control the operation of the heat dissipation components according to the overall condition of the energy storage device. This not only affects the performance of the energy storage device, but also may shorten its lifespan 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 embodiments of this application provide a method for optimizing the thermal management strategy of an energy storage device, which can reduce the probability of temperature imbalance in the energy storage device during operation and intervene in a timely manner when temperature imbalance occurs to prevent local overheating. The technical solution is as follows:

[0006] On the one hand, a method for optimizing the thermal management strategy of an energy storage device is provided, and the method includes:

[0007] Obtain the first component parameters of multiple first components in the energy storage device and the component connection parameters, and obtain the second component parameters of multiple second components in the energy storage device and the component influence parameters. The multiple first components are the components for energy storage in the energy storage device, and the multiple second components are the components for heat dissipation in the energy storage device. The first component parameters include the component attributes, component working parameters, and the first position in the energy storage device corresponding to the first components. The component connection parameters are used to represent the connection relationship between the multiple first components. The second component parameters include the component attributes, component capabilities, and the second position in the energy storage device corresponding to the second components. The component influence parameters are used to represent the preset heat dissipation corresponding relationship between the corresponding second components and the first components;

[0008] Based on the first component parameters of the multiple first components and the component connection parameters, determine multiple heat transfer paths of the energy storage device, where one heat transfer path connects N first components, and N is a positive integer; based on the second component parameters of the multiple second components and the component influence parameters, determine multiple heat dissipation regions of the energy storage device and multiple heat dissipation paths connecting the multiple heat dissipation regions;

[0009] During the operation of the energy storage device, obtain the working temperatures at multiple preset positions in the energy storage device, and based on the working temperatures at the multiple preset positions, determine whether the energy storage device has temperature imbalance, where the multiple preset positions are associated with the working state of the energy storage device;

[0010] In the case where the energy storage device has temperature imbalance, based on the multiple second component parameters, the multiple heat transfer paths, the multiple heat dissipation regions, and the multiple heat dissipation paths, control the multiple second components to operate.

[0011] On the one hand, a device for optimizing the thermal management strategy of an energy storage device is provided, and the device includes:

[0012] An acquisition module, configured to acquire the first component parameters and component connection parameters of multiple first components in the energy storage device and acquire the second component parameters and component influence parameters of multiple second components in the energy storage device, where the multiple first components are components for energy storage in the energy storage device, the multiple second components are components for heat dissipation in the energy storage device, the first component parameters include the component attributes, component working parameters, and the first position in the energy storage device corresponding to the first components, the component connection parameters are used to represent the connection relationship between the multiple first components, the second component parameters include the component attributes, component capabilities, and the second position in the energy storage device corresponding to the second components, and the component influence parameters are used to represent the preset heat dissipation correspondence relationship between the corresponding second components and the first components;

[0013] A path determination module, configured 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, and N is a positive integer; determine multiple heat dissipation regions of the energy storage device and multiple heat dissipation paths connecting the multiple heat dissipation regions based on the second component parameters of the multiple second components and the component influence parameters;

[0014] A temperature imbalance judgment module, configured to obtain the working temperatures at multiple preset positions in the energy storage device during the operation of the energy storage device, and based on the working temperatures at the multiple preset positions, determine whether the energy storage device has temperature imbalance, where the multiple preset positions are associated with the working state of the energy storage device;

[0015] A control module, configured to control the plurality of second components to operate based on the plurality of second component parameters, the plurality of heat transfer paths, the plurality of heat dissipation regions, and the plurality of heat dissipation paths when a temperature imbalance occurs in the energy storage device.

[0016] In a possible implementation manner, the path determination module is configured to determine a plurality of initial heat transfer paths based on the component connection parameters and component attributes of the plurality of first components; determine the estimated component heat generation amount of each of the first components based on the component operating parameters of the plurality of first components; and determine the plurality of heat transfer paths based on the plurality of initial heat transfer paths, the estimated component heat generation amount of each of the first components, and the component attributes.

[0017] In a possible implementation manner, the path determination module is configured to generate a first graph network based on the component connection parameters and component parameters of the plurality of first components, where the first graph network includes a plurality of first nodes, one of the first nodes corresponds to one first component, the connections between the plurality of first nodes are determined by the component connection parameters, the node attribute of the first node is the component parameter of the corresponding first component, and the weight of the connection line is determined based on the first position of the first component; determine at least one target first node from the first graph network, where the target first node is the first node with the most connections among the plurality of first nodes; and determine the plurality of initial heat transfer paths based on the at least one target first node and the first graph network.

[0018] In a possible implementation manner, for any one of the plurality of initial heat transfer paths, the path determination module is configured to determine the estimated heat transfer amount of the initial heat transfer path based on the estimated component heat generation amount and component attributes of M first components on the initial heat transfer path, where M is a positive integer; determine the heat transfer weight of the initial heat transfer path based on the estimated heat transfer amount of the initial heat transfer path and a reference heat transfer amount, where the reference heat transfer amount is determined based on the estimated heat transfer amounts of a plurality of preset heat transfer paths of the energy storage device, and the heat transfer weight is used to represent the importance degree of the initial heat transfer path; and determine the plurality of heat transfer paths 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.

[0019] In a possible implementation manner, the path determination module is configured to determine the component influence range of each of the second components based on the component capabilities, second positions, and component influence parameters in the second component parameters of the plurality of second components; determine the plurality of heat dissipation regions 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; and determine the plurality of heat dissipation paths based on the second positions of each of the second components and the plurality of heat dissipation regions.

[0020] In a possible implementation, the path determination module is configured to determine an initial component influence range of each of the plurality of second components based on the second positions of the plurality of second components and component influence parameters; and determine a component influence range of each of the second components based on the component capabilities and the initial component influence ranges of the second components.

[0021] In a possible implementation, the path determination module is configured to perform secondary correction on the component influence ranges of the second components based on the component attributes in the second component parameters of the second components to obtain a target component influence range of each of the second components; and fuse the target component influence ranges that overlap and have an overlapping area greater than or equal to a preset area to obtain a plurality of heat dissipation areas of the energy storage device.

[0022] In a possible implementation, the path determination module is configured to determine a third position of each of the heat dissipation areas in the energy storage device based on the second positions of the second components in the heat dissipation areas; and determine the plurality of heat dissipation paths based on the third positions of the heat dissipation areas in the energy storage device, wherein the distance between the heat dissipation areas on one heat dissipation path is less than or equal to a distance threshold.

[0023] In a possible implementation, the control module is configured to, when a temperature imbalance occurs in the energy storage device, determine at least two target positions and a working temperature difference between the at least two target positions from the plurality of preset positions, where the target positions are preset positions with a high degree of temperature imbalance; determine at least two target heat dissipation areas from the plurality of heat dissipation areas and determine at least two target heat transfer paths from the plurality of heat transfer paths based on the at least two target positions, where one target heat dissipation area corresponds to one target position and one target heat transfer path corresponds to one target position; determine at least one reference heat dissipation area from the plurality of heat dissipation areas based on the at least two target heat transfer paths, where the reference heat dissipation area is a heat dissipation area covering the at least two target heat transfer paths; determine 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; determine a plurality of target second components from the plurality of second components based on the at least one target heat dissipation path; determine target second component parameters of the plurality of target second components from the plurality of second component parameters; determine 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 working temperature difference between the at least two target positions, and the at least two target positions; and control the plurality of target second components to operate using the component control parameters of the plurality of target second components.

[0024] In a possible implementation, the control module is configured to determine initial component control parameters of the multiple target second components based on component attributes and component capabilities in the target second component parameters of the multiple target second components and the working temperature difference between the at least two target positions; determine a 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.

[0025] On the one hand, a computer device is provided. The computer device includes one or more processors and one or more memories. At least one computer program is stored in the one or more memories. 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.

[0026] On the one hand, a computer-readable storage medium is provided. At least one computer program is stored in the computer-readable storage medium. The computer program is loaded and executed by a processor to implement the thermal management strategy optimization method for the energy storage device.

[0027] On the one hand, a computer program product or a computer program is provided. The computer program product or the computer program includes 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 the energy storage device.

[0028] Through the technical solution provided by the embodiments of the present application, by comprehensively considering various parameters of the first component and the second component in the energy storage device, thermal management is performed more precisely, thereby reducing the impact of temperature fluctuations on the energy storage efficiency and improving the stability of the energy storage device. In other words, it can detect temperature imbalance in a timely manner and accurately control the operation of the second component based on multiple factors, avoid damage to the first component and the second component due to local overheating, further reduce temperature-related performance degradation, extend the service life of the energy storage device, and reduce the cost of large-scale energy storage applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0030] Figure 1 It is a schematic diagram of the implementation environment of a thermal management strategy optimization method for an energy storage device provided by an embodiment of the present application;

[0031] Figure 2 It is a flowchart of a thermal management strategy optimization method for an energy storage device provided by an embodiment of the present application;

[0032] Figure 3 It is a flowchart of another thermal management strategy optimization method for an energy storage device provided by an embodiment of the present application;

[0033] Figure 4 It is a schematic diagram of the structure of a thermal management strategy optimization device for an energy storage device provided by an embodiment of the present application;

[0034] Figure 5 It is a schematic diagram of the structure of a thermal management system provided by an embodiment of the present application. Detailed implementation manners

[0035] To make the objectives, technical solutions and advantages of the present application clearer, the following will further describe the embodiments of the present application in detail with reference to the accompanying drawings.

[0036] In the present application, terms such as "first" and "second" are used to distinguish identical or similar items with basically the same functions. It should be understood that there is no logical or temporal dependency between "first", "second", and "nth", nor are the quantity and execution order limited.

[0037] Energy storage device: An energy storage device is a device that can store energy and release it when needed. It plays a crucial role in energy management and utilization. Especially in the application of renewable energy, the energy storage device can solve the temporal or local differences between energy supply and demand.

[0038] Thermal management: Thermal management is a process of regulating and controlling the temperature or temperature difference of a specific object by means of heating or cooling according to the requirements of the specific object. Thermal management includes specific objects, implementation means, thermal management parameters, etc. Thermal management can be seen everywhere in daily life, such as in mobile phones, computers, cars, rooms, and various industrial applications.

[0039] Thermal imbalance: Thermal imbalance in an energy storage device refers to the phenomenon that in the energy storage device, due to the imbalance between heat generation and heat dissipation, the internal temperature distribution of the system is uneven, and the temperature of some areas is too high or too low. This thermal imbalance may have an adverse impact on the performance, safety, and lifespan of the energy storage device.

[0040] Heat transfer path: The heat transfer path refers to the path through which heat is transferred from one object to another. In the heat transfer process, heat can be transferred through three main methods: heat conduction, heat convection, and heat radiation.

[0041] Artificial Intelligence (AI) uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, including theories, methods, technologies, and application systems that can perceive the environment, acquire knowledge, and use knowledge to obtain better results.

[0042] Machine Learning (ML) is an interdisciplinary field that involves multiple disciplines such as probability theory, statistics, approximation theory, convex analysis, and algorithm complexity theory. It specifically studies how computers can simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganize existing knowledge sub-models to continuously improve their own performance. Machine learning is the core of artificial intelligence and the fundamental way to make computers intelligent, and its applications cover all fields of artificial intelligence.

[0043] Normalization: Maps a sequence of numbers with different value ranges to the interval (0, 1) for easier data processing. In some cases, the normalized values can be directly implemented as probabilities.

[0044] Embedded Coding: Embedded coding represents a correspondence in mathematics, that is, mapping the data in the X space to the Y space through a function F, where the function F is an injective function, and the result of the mapping is structure-preserving. The injective function means that the data after mapping corresponds uniquely to the data before mapping, and structure-preserving means that the size relationship of the data before mapping is the same as that of the data after mapping. For example, there are data X1 and X2 before mapping, and Y1 corresponding to X1 and Y2 corresponding to X2 are obtained after mapping. If the data X1 > X2 before mapping, then correspondingly, the data Y1 after mapping is greater than Y2. For words, it is to map the words to another space for subsequent machine learning and processing.

[0045] Attention weight: Can represent the importance of a certain data during the training or prediction process. Importance indicates the magnitude of the influence of the input data on the 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 not the same, and the process of training the attention weight of the model is also the process of determining the importance of data.

[0046] After introducing some terms related to the embodiments of this application, the application scenarios of the embodiments of this application will be introduced below. Figure 1 It is a schematic diagram of the implementation environment of a thermal management strategy optimization method for an energy storage device provided by the embodiments of this application. See Figure 1, the technical solution provided by the embodiments of the present application can be applied in the energy storage device 100, and the energy storage device 100 includes:

[0047] Battery 110: As a key technical route for new energy storage, the battery plays a crucial role in improving the utilization rate of renewable energy and ensuring the safe and stable operation of the power system. Lithium batteries are the most commonly used energy storage batteries in the market at present and are widely recognized for their high efficiency and long life.

[0048] Thermal management system 120: By adjusting the temperature of the energy storage device, it ensures that the energy storage device operates in the optimal temperature environment, extends the service life of the battery, and improves the overall performance of the system. The technical solution provided by the embodiments of the present application is executed by the thermal management system 120.

[0049] Bidirectional energy storage converter (PCS, Power Conversion System) 130: It can convert the alternating current of the power grid into the direct current required by the battery, and at the same time, it can also convert the direct current stored in the battery into alternating current for the power grid to use.

[0050] Energy management system (EMS, Energy Management System) 140: It is responsible for collecting, processing, and analyzing the data of each part of the energy storage device to ensure the safe and efficient operation of the energy storage device.

[0051] Battery management system (BMS, Battery Management System) 150: Its main function is to improve the utilization efficiency of the battery, prevent overcharging and over-discharging of the battery, and comprehensively ensure the safe operation of the energy storage device.

[0052] After introducing the implementation environment of the embodiments of the present application, the thermal management strategy optimization method for the energy storage device provided by the embodiments of the present application will be described below. Figure 2 is a flowchart of a thermal management strategy optimization method for an energy storage device provided by the embodiments of the present application. Refer to Figure 2 , taking the thermal management system of the energy storage device as the execution subject, the method includes the following steps.

[0053] 201. The thermal management system obtains the first component parameters and component connection parameters of multiple first components in the energy storage device, and obtains the second component parameters and component influence parameters of multiple second components in the energy storage device.

[0054] Among them, the multiple first components are the components for energy storage in the energy storage device, such as battery cells of the energy storage device. The multiple second components are the components for heat dissipation in the energy storage device, such as heat sinks, cooling pipes, etc. The first component parameters include the component attributes corresponding to the first components, component operating parameters, and the first positions in the energy storage device. The component connection parameters are used to represent the connection relationships among the multiple first components. The second component parameters include the component attributes corresponding to the second components, component capabilities, and the second positions in the energy storage device. The component influence parameters are used to represent the preset heat dissipation corresponding relationships between the corresponding second components and the first components. The component attributes of the first components include the chemical composition of the first components (such as the types of lithium compounds in lithium-ion batteries), physical structures (such as the shapes and sizes of electrodes), and these attributes will affect their energy storage capabilities and heat generation characteristics. The component operating parameters cover the operating voltage, current, charge-discharge rate, and these parameters reflect the real-time states of the first components during the operation of the energy storage device. The first position information is determined by a positioning sensor or based on the coordinate system inside the energy storage device, which helps to analyze the heat conduction paths within the device. The component connection parameters are obtained through circuit topology analysis, which clarifies the electrical connection methods (series, parallel, or mixed connection, etc.) among the multiple first components, and this has an important impact on the heat transfer between components. The component attributes of the second components include physical properties such as the thermal conductivity and specific heat capacity of the heat dissipation materials. The component capability is the heat dissipation power, which depends on the design and material characteristics of the heat dissipation components. The second position is also determined by a positioning system, and the component influence parameters are obtained through experiments or thermal simulation analysis, which represent the preset heat dissipation corresponding relationships between the corresponding second components and the first components, such as the heat dissipation coupling relationship between a certain heat sink and a specific battery cell.

[0055] 202. The thermal management system determines multiple heat transfer paths of the energy storage device based on the first component parameters and component connection parameters of the multiple first components.

[0056] Among them, one heat transfer path connects N first components, where N is a positive integer. Considering factors such as the connection methods among the first components and the temperature characteristics of the first components, analyze the possible paths for heat to transfer from one first component to another first component, that is, the heat transfer paths.

[0057] 203. The thermal management system determines multiple heat dissipation regions of the energy storage device and multiple heat dissipation paths connecting the multiple heat dissipation regions based on the second component parameters and component influence parameters of the multiple second components.

[0058] Among them, different heat dissipation regions are divided according to the distribution of the second components in the energy storage device. By analyzing the connection relationships among the second components and the coupling relationships with the first components, multiple heat dissipation paths connecting these heat dissipation regions can be determined.

[0059] 204. During the operation of the energy storage device, the thermal management system acquires the operating temperatures at multiple preset positions within the energy storage device, and these multiple preset positions are associated with the operating state of the energy storage device.

[0060] Among them, the operating state of the energy storage device includes an energy storage state, a discharge state, a standby state, and a balance state, and the multiple preset positions corresponding to different operating states are not completely the same.

[0061] 205. The thermal management system determines whether there is a temperature imbalance in the energy storage device based on the operating temperatures at these multiple preset positions.

[0062] Among them, temperature imbalance refers to a phenomenon in which there are large temperature differences between different regions or components inside the energy storage device due to uneven heat generation and dissipation.

[0063] 206. In the case where there is a temperature imbalance 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 regions, and the multiple heat dissipation paths.

[0064] Among them, controlling the multiple second components to operate is to eliminate the temperature imbalance as soon as possible to maintain the stable operation of the energy storage device.

[0065] Through the technical solution provided by the embodiments of the present application, by comprehensively considering various parameters of the first components and the second components in the energy storage device, thermal management is carried out more accurately, thereby reducing the impact of temperature fluctuations on the energy storage efficiency and improving the stability of the energy storage device. In other words, it can detect temperature imbalance in a timely manner and accurately control the operation of the second components based on various factors, avoid damage to the first components and the second components 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.

[0066] The above steps 201-206 are a brief introduction to the thermal management strategy optimization method for an energy storage device provided by the embodiments of the present application. Next, some examples will be combined to more clearly illustrate the thermal management strategy optimization method for an energy storage device provided by the embodiments of the present application. See Figure 3 , taking the thermal management system of the energy storage device as the execution subject as an example, the method includes the following steps.

[0067] 301. The thermal management system acquires the first component parameters and component connection parameters of multiple first components in the energy storage device and acquires the second component parameters and component influence parameters of multiple second components in the energy storage device.

[0068] Among them, the multiple first components are components for energy storage in the energy storage device, such as battery cells of the energy storage device, and the multiple second components are components for heat dissipation in the energy storage device, such as heat sinks, cooling pipes, etc. The first component parameters include the component attributes corresponding to the first components, component operating parameters, and the first positions in the energy storage device. The component connection parameters are used to represent the connection relationships between the multiple first components. The connection relationships between the multiple first components include whether any two of the multiple first components are connected and, in the case where two first components are connected, the connection method between the two first components. The connection method includes direct connection and indirect connection (connected through other components). The form of the component connection parameters is similar to a graph network. The multiple first components serve as nodes, and the connection lines between the multiple first components can be used to represent the connection relationships between the multiple first components. The component connection parameters are used to store the connection relationships between the multiple first components. The second component parameters include the component attributes corresponding to the second components, component capabilities, and the second positions in the energy storage device. The component influence parameters are used to represent the preset heat dissipation correspondence relationship between the corresponding second components and the first components. The component attributes of the first components include the chemical composition of the first components (such as the types of lithium compounds in lithium-ion batteries), physical structures (such as the shapes and sizes of electrodes), and these attributes affect their energy storage capabilities and heat generation characteristics. The component operating parameters cover the operating voltage, current, charge and discharge rates, and these parameters reflect the real-time state of the first components during the operation of the energy storage device. The first position information is determined by a positioning sensor or based on the coordinate system inside the energy storage device, which helps analyze the heat conduction path within the device. The component connection parameters are obtained through circuit topology analysis, which clarifies the electrical connection methods (series, parallel, or mixed connection, etc.) between the multiple first components, and this has an important impact on the heat transfer between components. The component attributes of the second components include physical properties such as the thermal conductivity and specific heat capacity of the heat dissipation materials, and the component capabilities are the heat dissipation power, which depends on the design and material characteristics of the heat dissipation components. The component attributes of the second components include the component types of the second components, such as water cooling, air cooling; the component attributes also include the sizes and shapes of the second components. The second position is also determined by a positioning sensor, and the component influence parameters are obtained through experiments or thermal simulation analysis, which represent the preset heat dissipation correspondence relationship between the corresponding second components and the first components, such as the heat dissipation coupling relationship between a certain heat sink and a specific battery cell. In some embodiments, position-related concepts such as the first position, the second position, and the preset position are all positions in the coordinate system corresponding to the energy storage device.

[0069] In a possible implementation, the thermal management system scans the energy storage device to obtain the component connection parameters of multiple first components in the energy storage device. The thermal management system obtains the component attributes and the first positions of the multiple first components from the storage medium. The thermal management system obtains the component operating parameters of the multiple first components through the operating sensors of the multiple first components. The thermal management system obtains the second component parameters and the component influence parameters of the multiple second components from the storage medium.

[0070] Among them, scanning the energy storage device may refer to performing a three-dimensional structure scan on the energy storage device to obtain multiple first components in the energy storage device and the connection relationships between the multiple first components, so as to obtain the component connection parameters of the multiple first components. The first components are energy storage components, and the second components are heat dissipation components. 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 attributes of the first components, the component attributes of the second components, and the component influence parameters are calibrated by technicians and stored in the storage medium. The thermal management system can directly obtain the component attributes, the first positions, the second component parameters of the multiple second components, and the component influence parameters of the multiple first components from the storage medium.

[0071] In this implementation, the thermal management system can obtain various required parameters, laying a solid foundation for subsequent thermal management operations.

[0072] 302. The thermal management system determines multiple heat transfer paths of the energy storage device based on the first component parameters and the component connection parameters of the multiple first components.

[0073] Among them, one heat transfer path connects N first components, and N is a positive integer. Considering factors such as the connection method between the first components and the temperature characteristics of the first components, analyze the possible paths for heat to transfer from one first component to another first component, that is, the heat transfer paths.

[0074] In a possible implementation, the thermal management system determines multiple initial heat transfer paths based on the component connection parameters and the component attributes of the multiple first components. The thermal management system determines the estimated component heat generation of each first component based on the component operating parameters of the multiple first components. 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 the component attributes.

[0075] Among them, the component connection parameters are parameters that describe 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 parameters can indicate how the battery cells are connected, whether they are connected in series (the current passes through each battery cell in sequence and the voltages are added), in parallel (the voltages are the same and the current is divided among different battery cells), or in a series-parallel combination (including a combination of series and parallel). These connection methods 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. The component properties are the characteristics inherent to the first component itself. Physically, they may include the size, shape, and thermal conductivity of the material of the component; chemically, they involve the chemical composition and chemical reactivity of the component. Taking a battery as an example, the electrode material composition of the battery and the chemical composition of the electrolyte belong to the component properties. These properties affect the heat conduction ability and heat generation mechanism of the component, and thus are important considerations when determining the heat transfer path. The estimated heat generation of the component is the value of the heat that each first component may generate, calculated by the thermal management system based on the component working parameters of the first component. During the operation of the component, heat is generated due to the passage of current, chemical reactions, etc.

[0076] To illustrate the above embodiments more clearly, the above embodiments will be described in several parts below.

[0077] The first part: Based on the component connection parameters and component properties of the multiple first components, the thermal management system determines multiple initial heat transfer paths.

[0078] Among them, the initial heat transfer path is the path through which heat may conduct, initially determined by the thermal management system based on the component connection parameters and component properties. On the basis of 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 and other properties of battery cells), the possible routes for heat to transfer from one component to another are determined. These initial heat transfer paths are the basis for further precise analysis and determination of the final heat transfer paths in the future, just like constructing a preliminary framework and then optimizing it according to more factors.

[0079] In a possible implementation, the thermal management system generates a first graph network based on the component connection parameters and component parameters of the plurality of first components. The first graph network includes a plurality of first nodes, where one first node corresponds to one first component. The connections between the plurality of first nodes are determined by the component connection parameters. The node attribute of the first node is the component parameter of the corresponding 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, and the target first node is the first node with the most connections among the plurality of first nodes. The thermal management system determines the plurality of initial heat transfer paths based on the at least one target first node and the first graph network.

[0080] Among them, the first graph network can represent the connection relationship between the plurality of first nodes, that is, it can represent the connection relationship between the plurality of 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.

[0081] For example, the thermal management system generates a first graph network based on the component connection parameters and component parameters of the plurality of first components. The thermal management system determines the number of connections of the plurality of first nodes in the first graph network, and determines the first node with the most connections among the plurality of first nodes as the target first node. The thermal management system takes the at least one target first node as the starting point and performs path planning in the first graph network in combination with the first node features to obtain the plurality of initial heat transfer paths.

[0082] Among them, the path planning is to find the shortest path to the outermost nodes in the first graph network. The obtained initial heat transfer paths are connected to M first nodes, and the M first nodes correspond to M first components, where M is a positive integer.

[0083] For example, the thermal management system generates a first graph network based on the component connection parameters and component parameters of the plurality of first components. The thermal management system determines the number of connections of the plurality of first nodes in the first graph network, and determines the first node with the most connections among the plurality of first nodes as the target first node. The thermal management system takes the at least one target first node as the starting point and performs path planning in the directions of the multiple connections of the at least one target first node 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 levels of the respective reference heat transfer paths, and convolves the node features of the first nodes on the reference heat transfer paths during the graph convolution process. The thermal management system determines the reference heat transfer paths with confidence levels greater than or equal to the confidence level threshold among the multiple reference heat transfer paths as the initial heat transfer paths, thereby obtaining the plurality of initial heat transfer paths.

[0084] The following is illustrated by a specific example. Taking 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 the relationships such as A in series with B, B in parallel with C, and C in series with D, etc. The component parameters include information such as the capacity and internal resistance of the battery cells. Based on these, a first graph network is constructed, where A, B, C, and D respectively correspond to the first nodes a, b, c, and d. There is a connection line between a and b, two connection lines between b and c, and a connection 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 adjacent in physical position and easily conduct heat, then the weight of the connection line between b and c is relatively high. In this graph network, it is found that node b is the target first node with the most connection lines. Then, based on node b and the first graph network, an initial heat transfer path such as from B to C and then to D is determined.

[0085] Second part: Based on the component working parameters of the multiple first components, the thermal management system determines the estimated component heat generation of each first component.

[0086] Among them, the component working parameters include working voltage, current, charge-discharge rate, etc.

[0087] In a possible implementation manner, for any one of the multiple first components, the thermal management system inputs the working voltage, current, and charge-discharge rate of the first component into a heat estimation model. Through the heat estimation model, feature extraction is performed on the working voltage, current, and charge-discharge rate of the first component to obtain the component working characteristics of the first component. The thermal management system processes the component working characteristics of the first component through the heat estimation model to obtain the estimated component heat generation of the first component.

[0088] Among them, the heat estimation model is a regression model, and the heat estimation model is trained based on the component working parameters of multiple sample first components and the labeled component heat generation of each sample first component. The embodiments of the present application do not limit the structure and type of the heat estimation model.

[0089] For example, for any one of the multiple first components, the thermal management system inputs the working voltage, current, and charge-discharge rate of the first component into a heat estimation model. Through the heat estimation model, multiple fully connected operations are performed on the working voltage, current, and charge-discharge rate of the first component to obtain the component working characteristics of the first component. The thermal management system performs full connection and normalization on the component working characteristics of the first component through the heat estimation model to obtain the estimated component heat generation of the first component.

[0090] Part III: 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 the component attributes.

[0091] In a possible implementation manner, for any one of the plurality of initial heat transfer paths, the thermal management system determines the estimated heat transfer amount of the initial heat transfer path based on the estimated component heat generation and the component attributes of M first components on the initial heat transfer path, 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 amount and the reference heat transfer amount of the initial heat transfer path. The reference heat transfer amount is determined based on the estimated heat transfer amounts of the plurality of preset heat transfer paths of the energy storage device. The heat transfer weight is used to represent the importance degree of the initial heat transfer path. The thermal management system determines the plurality of heat transfer paths from the plurality of initial heat transfer paths based on the estimated heat transfer amounts and the heat transfer weights of the plurality of initial heat transfer paths.

[0092] Wherein, the preset heat transfer path is a heat transfer path configured in advance, and the reference heat transfer amount is the average value of the estimated heat transfer amounts of the plurality of preset heat transfer paths.

[0093] For example, for any one of the plurality of initial heat transfer paths, the thermal management system determines the heat generation weights of M first components based on the component attributes of the M first components on the initial heat transfer path. The thermal management system uses the heat generation weights of the M first components to fuse the estimated component heat generations of the M first components to obtain the estimated heat transfer amount of the initial heat transfer path. The thermal management system divides the estimated heat transfer amount of the initial heat transfer path by the reference heat transfer amount to obtain the heat transfer weight of the initial heat transfer path. The thermal management system fuses the estimated heat transfer amounts and the heat transfer weights of each initial heat transfer path to obtain the heat transfer scores of each initial heat transfer path. The thermal management system determines the initial heat transfer paths in the plurality of initial heat transfer paths whose heat transfer scores are greater than or equal to the preset score as the plurality of heat transfer paths.

[0094] Wherein, the heat transfer weight is used to represent the amount of heat transfer of the initial heat transfer path, and the heat transfer score is used to represent the heat transfer importance degree of the initial heat transfer path.

[0095] 303. The thermal management system determines the plurality of heat dissipation regions of the energy storage device and the 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 influence parameters.

[0096] Wherein, different heat dissipation regions 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 components, the plurality of heat dissipation paths connecting these heat dissipation regions can be determined. In the embodiments of the present application, the heat transfer path is the path connecting the first components, and the heat dissipation path is the path connecting the second components.

[0097] In a possible implementation, the thermal management system determines the component influence range of each second component based on the component capabilities, second positions, and component influence parameters among the second component parameters of the plurality of second components. The thermal management system determines a plurality of heat dissipation regions of the energy storage device based on the component attributes and the component influence range among the second component parameters of each second component. The thermal management system determines the plurality of heat dissipation paths based on the second positions of each second component and the plurality of heat dissipation regions.

[0098] The component influence range refers to the range that can be affected by the heat dissipation capacity when the second component is operating.

[0099] To illustrate the above implementation more clearly, the above implementation will be described in several parts below.

[0100] Part 1: The thermal management system determines the component influence range of each second component based on the component capabilities, second positions, and component influence parameters among the second component parameters of the plurality of second components.

[0101] In a possible implementation, the thermal management system determines the 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 the component influence range of each second component based on the component capabilities and the initial component influence range of each second component.

[0102] 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 positions 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 centered on the second component. The thermal management system determines a first heat dissipation influence coefficient based on the component capabilities of the second component, and the first heat dissipation influence coefficient is positively correlated with the component capabilities. The thermal management system corrects the initial component influence range of the second component using the first heat dissipation influence coefficient of the second component, that is, multiplies the first heat dissipation influence coefficient of the second component by the radius of the initial component influence range, and obtains the component influence range of the second component with the center unchanged.

[0103] Among them, generally speaking, the component ability is positively correlated with the first heat dissipation influence coefficient. That is, the stronger the component ability, the larger the first heat dissipation influence coefficient; the weaker the component ability, the smaller the first heat dissipation influence coefficient. When the component ability is represented by the heat dissipation power, that is, the heat dissipation power is positively correlated with the first heat dissipation influence coefficient. The first heat dissipation influence coefficient is a dimensionless coefficient, and the result after multiplying with other physical quantities retains the dimensions of other physical quantities. The corresponding relationship between the component ability and the first heat dissipation influence coefficient is set by those skilled in the art according to the actual situation, and the embodiments of the present application do not limit this.

[0104] The second part: The thermal management system determines multiple heat dissipation regions of the energy storage device based on the component attributes and the component influence ranges in the second component parameters of each second component.

[0105] In a possible implementation manner, the thermal management system performs secondary correction on the component influence ranges of each second component based on the component attributes in the second component parameters of each second component to obtain the target component influence ranges of each second component. The thermal management system fuses the target component influence ranges that overlap and the overlapping area is greater than or equal to the preset area to obtain multiple heat dissipation regions.

[0106] Among them, the preset area is set by those skilled in the art according to the actual situation, and the embodiments of the present application do not limit this.

[0107] 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 corrects the component influence range of the second component by using the second heat dissipation influence coefficient of the second component, that is, multiplying the second heat dissipation influence coefficient of the second component by the radius of the component influence range, and keeping the center unchanged, to obtain the target component influence range of the second component. The thermal management system fuses the target component influence ranges that overlap and the overlapping area is greater than or equal to the preset area to obtain multiple heat dissipation regions.

[0108] The third part: The thermal management system determines the multiple heat dissipation paths based on the second positions of each second component and the multiple heat dissipation regions.

[0109] In a possible implementation manner, the thermal management system determines the third positions of each heat dissipation region in the energy storage device based on the second positions of the second components in each heat dissipation region. The thermal management system determines the multiple heat dissipation paths based on the third positions of each heat dissipation region in the energy storage device, and the distance between the heat dissipation regions on one heat dissipation path is less than or equal to the distance threshold.

[0110] For example, for any one of multiple heat dissipation areas, the thermal management system determines the average position of the second position of the second component in this heat dissipation area as the third position of this heat dissipation area. The thermal management system divides two heat dissipation areas with a distance less than or equal to a distance threshold among the multiple heat dissipation areas into the same heat dissipation path, thereby obtaining multiple heat dissipation paths.

[0111] Among them, the second position of the second component is represented by position coordinates. Correspondingly, the average position of the second position of the second component in this heat dissipation area is represented by the average coordinates of the position coordinates of the second component. For example, if there are two second components in this 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).

[0112] 304. During the operation of the energy storage device, the thermal management system acquires the operating temperatures at multiple preset positions within the energy storage device, and the multiple preset positions are associated with the operating state of the energy storage device.

[0113] Among them, the operating state of the energy storage device includes an energy storage state, a discharge state, a standby state, and a balance state, and the multiple preset positions corresponding to different operating states are not completely the same.

[0114] In a possible implementation manner, 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 the multiple preset positions corresponding to the operating state of the energy storage device. The thermal management system acquires the operating temperatures at the multiple preset positions through the temperature sensors at the multiple preset positions.

[0115] 305. The thermal management system determines whether the energy storage device has a temperature imbalance based on the operating temperatures at the multiple preset positions.

[0116] Among them, temperature imbalance refers to a phenomenon in which there are large temperature differences between different regions or components inside the energy storage device due to uneven heat generation and dissipation.

[0117] In a possible implementation manner, the thermal management system determines the operating temperature difference between every two of the multiple 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 of the multiple preset positions is less than the temperature difference threshold, the thermal management system determines that the energy storage device does not have a temperature imbalance.

[0118] Among them, the temperature difference threshold is set by a technician according to the actual situation, and the embodiments of the present application do not limit this.

[0119] 306. When the energy storage device has a temperature imbalance, the thermal management system controls the plurality of second components to operate based on the plurality of second component parameters, the plurality of heat transfer paths, the plurality of heat dissipation regions, and the plurality of heat dissipation paths.

[0120] Among them, controlling the plurality of second components to operate is to eliminate the temperature imbalance as soon as possible to maintain the stable operation of the energy storage device.

[0121] In a possible implementation manner, when the energy storage device has a temperature imbalance, the thermal management system determines at least two target positions and the operating temperature difference between the at least two target positions from the plurality of preset positions, and the target position is a preset position with a high degree of temperature imbalance. The thermal management system determines at least two target heat dissipation regions from the plurality of heat dissipation regions and determines at least two target heat transfer paths from the plurality of heat transfer paths based on the at least two target positions. One target heat dissipation region corresponds to one target position, and one target heat transfer path corresponds to one target position. The thermal management system determines at least one reference heat dissipation region from the plurality of heat dissipation regions based on the at least two target heat transfer paths, and the reference heat dissipation region is a heat dissipation region covering the at least two target heat transfer paths. The thermal management system determines at least one target heat dissipation path from the plurality of heat dissipation paths based on the at least two target heat dissipation regions and the at least one reference heat dissipation region. 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. The thermal management system determines the target second component parameters of the plurality of target second components from the plurality of second component parameters. The thermal management system determines the 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 controls the plurality of target second components to operate using the component control parameters of the plurality of target second components.

[0122] Among them, a high degree of temperature imbalance means a large temperature difference. For example, the at least two target positions are the preset positions with the largest temperature difference between the operating temperatures among the plurality of preset positions. The component control parameters are used to control the operating state of the second component. For example, when the second component is a fan, the component control parameters include the rotation speed of the fan. When the second component is a water cooling pump, the component control parameters include the power of the water pump.

[0123] To illustrate the above implementation manner more clearly, the above implementation manner will be described in several parts below.

[0124] Part 1: Based on the at least two target locations, the thermal management system determines at least two target heat dissipation regions from the multiple heat dissipation regions and determines at least two target heat transfer paths from the multiple heat transfer paths.

[0125] In a possible implementation, the thermal management system determines, as the at least two target heat dissipation regions, the heat dissipation regions among the multiple heat dissipation regions that cover the at least two target locations. The thermal management system determines, as the at least two target heat transfer paths, the heat transfer paths among the multiple heat transfer paths that pass through the at least two target locations.

[0126] Part 2: Based on the at least two target heat transfer paths, the thermal management system determines at least one reference heat dissipation region from the multiple heat dissipation regions.

[0127] In a possible implementation, the thermal management system determines, as the reference heat dissipation region, the heat dissipation region among the multiple heat dissipation regions that cover the at least two target heat transfer paths, and the reference heat dissipation region does not include the at least two target heat dissipation regions.

[0128] Part 3: Based on the at least two target heat dissipation regions and the at least one reference heat dissipation region, the thermal management system determines at least one target heat dissipation path from the multiple heat dissipation paths.

[0129] In a possible implementation, the thermal management system determines, as the target heat dissipation path, the heat dissipation path among the multiple heat dissipation paths that passes through the at least two target heat dissipation regions and the at least one reference heat dissipation region.

[0130] Part 4: Based on the at least one target heat dissipation path, the thermal management system determines multiple target second components from the multiple second components.

[0131] In a possible implementation, the thermal management system determines, as the multiple target second components, the multiple second components connected by the at least one target heat dissipation path from the multiple second components.

[0132] Part 5: The thermal management system determines the target second component parameters of the multiple target second components from the multiple second component parameters.

[0133] In a possible implementation, the thermal management system obtains the target second component parameters of the multiple target second components from the multiple second component parameters.

[0134] Part 6: Based on the target second component parameters of the multiple target second components, the working temperature difference between the at least two target locations, and the at least two target locations, the thermal management system determines the component control parameters of the multiple target second components.

[0135] 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 working temperature difference between the at least two target positions. The thermal management system determines a 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.

[0136] For example, for any one of the multiple target second components, the thermal management system inputs the target second component attributes, component capabilities, and the working temperature difference between the at least two target positions into a control parameter prediction model. Through the control parameter prediction model, feature extraction is performed on the target second component attributes, component capabilities, and the working temperature difference between the at least two target positions to obtain the component control features of the target second component. The thermal management system performs full connection and normalization on the component control features of the target second component through the control parameter prediction model to obtain a probability set of the target second component. 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 queries using the position difference between the second position in the target second component parameters of the target second component and the at least two target positions to 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.

[0137] 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 embodiments of the present application. The correspondence between the position difference and the control parameter correction coefficient is set by those skilled in the art according to the actual situation, and the embodiments of the present application do not limit this.

[0138] Seventh part: The thermal management system uses the component control parameters of the multiple target second components to control the multiple target second components to work.

[0139] 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.

[0140] Optionally, after step 306, the following steps can also be executed.

[0141] 307. After a preset duration, the thermal management system determines whether the temperature imbalance of the energy storage device has disappeared. If the temperature imbalance of the energy storage device has not disappeared, it re-determines multiple target second components and the component control parameters of the re-determined multiple target second components, and uses the re-determined component control parameters to control the re-determined multiple target second components to operate.

[0142] Among them, the preset duration is set by the technician according to the actual situation, and the embodiments of the present application do not limit this. The method of re-determining multiple target second components and component control parameters belongs to the same inventive concept as the description in step 306 above, and the implementation process will not be elaborated here.

[0143] All the above optional technical solutions can be combined arbitrarily to form optional embodiments of the present application, which will not be elaborated here one by one.

[0144] Through the technical solution provided by the embodiments of the present application, by comprehensively considering various parameters of the first components and the second components in the energy storage device, thermal management is carried out more accurately, thereby reducing the impact of temperature fluctuations on the energy storage efficiency and improving the stability of the energy storage device. In other words, it can detect temperature imbalance in a timely manner and accurately control the operation of the second components based on various factors, avoid damage to the first components and the second components 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.

[0145] Figure 4 It is a schematic structural diagram of a thermal management strategy optimization device for an energy storage device provided by an embodiment of the present application. Refer to 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.

[0146] The acquisition module 401 is configured to acquire the first component parameters and component connection parameters of multiple first components in the energy storage device and acquire the second component parameters and component influence parameters of multiple second components in the energy storage device. The multiple first components are the components for energy storage in the energy storage device, and the multiple second components are the components for heat dissipation in the energy storage device. The first component parameters include the component attributes, component operating parameters, and the first position in the energy storage device corresponding to the first component. The component connection parameters are used to represent the connection relationship between the multiple first components. The second component parameters include the component attributes, component capabilities, and the second position in the energy storage device corresponding to the second component. The component influence parameters are used to represent the preset heat dissipation correspondence relationship between the corresponding second component and the first component.

[0147] A path determination module 402 is configured 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. 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 influence parameters, determine multiple heat dissipation regions of the energy storage device and multiple heat dissipation paths connecting the multiple heat dissipation regions.

[0148] A temperature imbalance judgment module 403 is configured to, during the operation of the energy storage device, obtain the operating temperatures at multiple preset positions within the energy storage device, and determine whether the energy storage device has a temperature imbalance based on the operating temperatures at the multiple preset positions. The multiple preset positions are associated with the operating state of the energy storage device.

[0149] A control module 404 is configured to, when the energy storage device has a temperature imbalance, control the multiple second components to operate based on the multiple second component parameters, the multiple heat transfer paths, the multiple heat dissipation regions, and the multiple heat dissipation paths.

[0150] In a possible implementation, the path determination module 402 is configured to determine multiple initial heat transfer paths based on the component connection parameters and component attributes of the multiple first components. Based on the component operating parameters of the multiple first components, determine the estimated component heat generation of each first component. Based on the multiple initial heat transfer paths, the estimated component heat generation of each first component, and the component attributes, determine the multiple heat transfer paths.

[0151] In a possible implementation, the path determination module 402 is configured 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, where one first node corresponds to one first component. The connections between the multiple first nodes are determined by the component connection parameters. The node attribute of the first node is the component parameter of the corresponding first component, and the weight of the connection line is determined based on the first position of the first component. Determine 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. Based on the at least one target first node and the first graph network, determine the multiple initial heat transfer paths.

[0152] In a possible implementation, the path determination module 402 is configured to, for any one of the multiple initial heat transfer paths, determine the estimated heat transfer amount of the initial heat transfer path based on the estimated heat generation amount and component attributes of M first components on the initial heat transfer path, where M is a positive integer. Based on the estimated heat transfer amount and the reference heat transfer amount of the initial heat transfer path, determine the heat transfer weight of the initial heat transfer path, where the reference heat transfer amount is determined based on the estimated heat transfer amounts of multiple preset heat transfer paths of the energy storage device, and the heat transfer weight is used to represent the importance degree of the initial heat transfer path. Based on the estimated heat transfer amounts and heat transfer weights of the multiple initial heat transfer paths, determine the multiple heat transfer paths from the multiple initial heat transfer paths.

[0153] In a possible implementation, the path determination module 402 is configured to determine the component influence range of each of the multiple second components based on the component capabilities, second positions, and component influence parameters in the second component parameters of the multiple second components. Based on the component attributes and component influence ranges in the second component parameters of each of the multiple second components, determine the multiple heat dissipation regions of the energy storage device. Based on the second positions of each of the multiple second components and the multiple heat dissipation regions, determine the multiple heat dissipation paths.

[0154] In a possible implementation, the path determination module 402 is configured to determine the initial component influence range of each of the multiple second components based on the second positions and component influence parameters of the multiple second components. Based on the component capabilities and initial component influence ranges of each of the multiple second components, determine the component influence range of each of the multiple second components.

[0155] In a possible implementation, the path determination module 402 is configured to perform secondary correction on the component influence range of each of the multiple second components based on the component attributes in the second component parameters of each of the multiple second components to obtain the target component influence range of each of the multiple second components. Fuse the target component influence ranges that overlap and the overlapping area is greater than or equal to the preset area to obtain the multiple heat dissipation regions of the energy storage device.

[0156] In a possible implementation, the path determination module 402 is configured to determine the third position of each of the heat dissipation regions in the energy storage device based on the second positions of the second components in each of the heat dissipation regions. Based on the third positions of each of the heat dissipation regions in the energy storage device, determine the multiple heat dissipation paths, and the distance between the heat dissipation regions on one heat dissipation path is less than or equal to the distance threshold.

[0157] In a possible implementation, the control module 404 is configured to, when the energy storage device has a temperature imbalance, determine at least two target positions from the multiple preset positions and the operating temperature difference between the at least two target positions, where the target positions are the preset positions with a high degree of temperature imbalance. Based on the at least two target positions, determine at least two target heat dissipation regions from the multiple heat dissipation regions and determine at least two target heat transfer paths from the multiple heat transfer paths. One target heat dissipation region 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 region from the multiple heat dissipation regions, where the reference heat dissipation region is the heat dissipation region covering the at least two target heat transfer paths. Based on the at least two target heat dissipation regions and the at least one reference heat dissipation region, determine at least one target heat dissipation path from the multiple heat dissipation paths. Based on the at least one target heat dissipation path, determine multiple target second components from the multiple second components. Determine the target second component parameters of the multiple target second components 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, determine the component control parameters of the multiple target second components. Use the component control parameters of the multiple target second components to control the operation of the multiple target second components.

[0158] In a possible implementation, the control module 404 is configured 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. 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.

[0159] It should be noted that when the thermal management strategy optimization device for an energy storage device provided in the above embodiments performs model warning, only the division of the above functional modules is used for illustration. In practical applications, the above functions can be assigned to different functional modules according to needs, 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 an energy storage device provided in the above embodiments and the embodiments of the thermal management strategy optimization method for an energy storage device belong to the same concept. For the specific implementation process, refer to the method embodiments and will not be elaborated here.

[0160] Through the technical solution provided by the embodiments of the present application, by comprehensively considering various parameters of the first component and the second component in the energy storage device, thermal management is carried out more precisely, thereby reducing the impact of temperature fluctuations on the energy storage efficiency and improving the stability of the energy storage device. In other words, it can detect temperature imbalance in a timely manner and accurately control the operation of the second component based on various factors, avoid 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.

[0161] Figure 5 FIG. 4 is a schematic structural diagram of a thermal management system provided by an embodiment of the present application. The thermal management system 120 may vary greatly due to configuration or performance, and may include one or more processors (Central Processing Units, CPUs) 121 and one or more memories 122. Among them, at least one computer program is stored in the one or more memories 122, 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 various method embodiments. Of course, the thermal management system 120 may also have components such as wired or wireless network interfaces, keyboards, and input / output interfaces for input / output. The thermal management system 120 may also include other components for implementing device functions, which will not be elaborated here.

[0162] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory including a computer program. The above computer program can be executed by a processor to complete the method for optimizing the thermal management strategy for an energy storage device in the above embodiments. For example, the computer-readable storage medium may 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, and an optical data storage device, etc.

[0163] In an exemplary embodiment, a computer program product or a computer program is also provided. The computer program product or the computer program includes program code, and the program code is stored in a computer-readable storage medium. The processor of the 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 method for optimizing the thermal management strategy for an energy storage device described above.

[0164] In some embodiments, the computer program involved in the embodiments of the present application may be deployed to be 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. The multiple computer devices distributed at multiple locations and interconnected by a communication network may form a blockchain system.

[0165] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above embodiments can be completed by hardware, or can be completed by instructing relevant hardware through a program. This program can be stored in a computer-readable storage medium. The above-mentioned storage medium can be a read-only memory, a magnetic disk or an optical disc, etc.

[0166] The above are only optional embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present application shall 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, the component influence parameters are used to indicate a preset heat dissipation correspondence relationship between the corresponding second components and the first components, and the component capability is heat dissipation power; 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 a temperature imbalance in the energy storage device, controlling the plurality of second components 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; 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 event of temperature imbalance in the energy storage device, at least two target positions and an operating temperature difference between the at least two target positions are determined from the multiple preset positions, 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 reference heat dissipation area covering the at least two target heat transfer paths. heat dissipation area; based on the at least two target heat dissipation areas and the at least one reference heat dissipation area, determining at least one target heat dissipation path from the multiple heat dissipation paths; based on the at least one target heat dissipation path, determining multiple target second components from the multiple second components; determining target second component parameters of the multiple target second components 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, determining component control parameters of the multiple target second components; using the component control parameters of the multiple target second components to control the multiple target second components to work.

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: 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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