Battery thermal simulation model construction method and device and battery thermal simulation model application method and device

Abstract

The invention relates to a battery thermal simulation model construction method and device and a battery thermal simulation model application method and device, and belongs to the technical field of battery simulation. Establishing a heat transfer model in the battery based on heat conduction, convection and radiation heat transfer mechanisms in the battery and a heat exchange process between the interior of the battery and an external environment; coupling the electrochemical reaction kinetic model of the battery with the heat transfer model to obtain a coupled model; solving the coupling model based on thermophysical characteristics of the modeled battery structure and a numerical solution method to obtain thermal responses at different charge-discharge rates; based on the thermal response at different charge-discharge rates, the influence of different battery designs, electrochemical conditions and working environments on the battery temperature is evaluated; the problem that a traditional battery thermal simulation model is poor in simulation effect can be solved. The accuracy of battery thermal simulation can be improved.

Description

Technical Field

[0001] The present application relates to battery thermal simulation model construction and its application method and device, and belongs to the field of battery simulation technology. Background Art

[0002] Thermal management of lithium-ion batteries, which are widely used in modern electric vehicles and renewable energy systems, is critical to ensure performance and safety. To effectively manage the heat of the battery, accurate thermal simulation models are needed to predict the temperature distribution and thermal response of the battery under various operating conditions. Summary of the invention

[0003] This application provides a battery thermal simulation model construction and its application method and device. The model combines the physical structure, chemical reaction kinetics and heat transfer characteristics of the battery, and can accurately predict the temperature change and thermal coupling effect of the battery system under different working conditions, thereby improving the accuracy of battery thermal simulation. This application provides the following technical solutions:

[0004] In a first aspect, a battery thermal simulation model construction and application method is provided, the method comprising:

[0005] Modeling the thermophysical properties of a battery structure including positive and negative electrode materials, a separator structure, and an electrolyte;

[0006] Establishing a heat transfer model inside the battery based on the heat conduction, convection and radiation heat transfer mechanisms inside the battery and the heat exchange process between the inside of the battery and the external environment;

[0007] coupling the electrochemical reaction kinetics model of the battery with the heat transfer model to obtain a coupled model;

[0008] Solving the coupling model based on the thermophysical properties of the modeled battery structure and a numerical solution method to obtain thermal responses at different charge-discharge rates;

[0009] Based on the thermal responses at different charge-discharge rates, the effects of different battery designs, electrochemical conditions and working environments on battery temperature are evaluated.

[0010] Optionally, the thermophysical properties of the positive and negative electrode materials include: thermal conductivity: a physical quantity used to describe the thermal conductivity of a material; and / or, specific heat capacity: used to describe the amount of heat required to increase a unit mass of material by a unit temperature; and / or, density.

[0011] The thermophysical properties of the diaphragm structure include: diaphragm thickness, thermal conductivity and porosity of the diaphragm structure;

[0012] The thermophysical properties of the electrolyte include: electrolyte composition, electrical conductivity of the electrolyte and thermal conductivity of the electrolyte.

[0013] Optionally, the heat transfer model of the heat conduction is expressed by the following formula:

[0014]

[0015] Where T is temperature, ρ is density, C p is the specific heat capacity, k is the thermal conductivity, is the gradient operator.

[0016] Optionally, the convective heat transfer model is expressed by the following formula:

[0017] q conv =h conv ·(T sur -T ∞ );

[0018] q conv is the convective heat transfer rate, h conv is the convective heat transfer coefficient, T sur is the battery surface temperature, T ∞ is the ambient temperature.

[0019] Optionally, the radiation heat transfer model is expressed by the following formula:

[0020]

[0021] Among them, q rad is the surface radiation heat flux density, ∈ is the surface emissivity, σ is the Stefan-Boltzmann constant, T sur is the battery surface temperature, T ∞ is the ambient temperature.

[0022] Optionally, the heat transfer model of the heat exchange process between the battery interior and the external environment is described by a combination of convection and radiation and is expressed by the following formula:

[0023] q total =q conv +q rad ;

[0024] Among them, q total is the total heat exchange between the battery and the external environment, q rad is the surface radiation heat flux, q conv is the convective heat transfer rate.

[0025] Optionally, the electrochemical reaction kinetics model of the battery is coupled with the heat transfer model to obtain a coupled model, which is represented by the following formula:

[0026]

[0027] Where ρ is the material density, C p is the specific heat capacity, k is the thermal conductivity, T is the temperature, q chem is the heat generated or absorbed by the electrochemical reaction, q rad is the surface radiation heat flux, q conv is the convective heat transfer rate, is the gradient operator.

[0028] Optionally, the model parameters of the coupling model are obtained by calibrating and verifying parameters using experimental data.

[0029] Optionally, the parameter calibration and verification using experimental data includes:

[0030] The temperature response data of the battery under different working conditions are obtained experimentally to obtain the realization data; the experimental data is used to calibrate the model parameters in the coupling model;

[0031] The coupled model is verified using the experimental data, the temperature response predicted by the model is compared with the actual measured data, and the model parameters are adjusted to obtain an adjusted coupled model for battery thermal simulation.

[0032] In a second aspect, a battery thermal simulation model construction and application device is provided, the device comprising:

[0033] A first modeling module is used to model the thermophysical characteristics of a battery structure, wherein the battery structure includes positive and negative electrode materials, a separator structure and an electrolyte;

[0034] A second modeling module is used to establish a heat transfer model inside the battery based on the heat conduction, convection and radiation heat transfer mechanisms inside the battery and the heat exchange process between the inside of the battery and the external environment;

[0035] A model coupling module, used for coupling the electrochemical reaction kinetics model of the battery with the heat transfer model to obtain a coupled model;

[0036] A thermal response prediction module, for solving the coupling model based on the thermophysical properties of the modeled battery structure and a numerical solution method to obtain thermal responses at different charge-discharge rates;

[0037] A battery evaluation module is used to evaluate the effects of different battery designs, electrochemical conditions and operating environments on battery temperature based on the thermal responses at different charge-discharge rates.

[0038] In a third aspect, a device for constructing a battery thermal simulation model and applying the same is provided, the device comprising a processor and a memory; a program is stored in the memory, and the program is loaded and executed by the processor to implement the battery thermal simulation model construction and application method described in the first aspect.

[0039] In a fourth aspect, a computer-readable storage medium is provided, wherein a program is stored in the storage medium, and the program is loaded and executed by the processor to implement the battery thermal simulation model construction and application method described in the first aspect.

[0040] The beneficial effects of the present application are as follows: by modeling the thermophysical properties of the battery structure, the battery structure includes positive and negative electrode materials, a diaphragm structure and an electrolyte; a heat transfer model inside the battery is established based on the heat conduction, convection and radiation heat transfer mechanisms inside the battery, and the heat exchange process between the battery and the external environment; the electrochemical reaction kinetics model of the battery is coupled with the heat transfer model to obtain a coupled model; based on the thermophysical properties of the modeled battery structure and the numerical solution method, the coupled model is solved to obtain the thermal response at different charge-discharge rates; based on the thermal response at different charge-discharge rates, the influence of different battery designs, electrochemical conditions and working environments on the battery temperature is evaluated; the problem of poor simulation effect of traditional battery thermal simulation models can be solved; the model combines the physical structure, chemical reaction kinetics and heat transfer characteristics of the battery, and can accurately predict the temperature changes and thermal coupling effects of the battery system under different working conditions, thereby improving the accuracy of battery thermal simulation.

[0041] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present application in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a flow chart of a battery thermal simulation model construction and application method provided by an embodiment of the present application;

[0043] Figure 2 It is a block diagram of a battery thermal simulation model construction and its application device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0044] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0045] Figure 1 This is a flow chart of a battery thermal simulation model construction and application method provided by an embodiment of the present application. This embodiment takes the method applied to an electronic device as an example for explanation. The electronic device may be a user terminal or server with computing capabilities. This embodiment does not limit the implementation of the electronic device. The method includes at least the following steps:

[0046] Step 101, modeling the thermophysical characteristics of a battery structure, where the battery structure includes positive and negative electrode materials, a separator structure, and an electrolyte.

[0047] The battery structure is mainly composed of positive and negative electrode materials, separators and electrolytes. The entire battery model is built by establishing their respective models.

[0048] In this embodiment, the thermophysical properties of the positive and negative electrode materials include the thermophysical properties of the positive electrode material and the thermophysical properties of the negative electrode material. The thermophysical properties of the positive electrode material and the thermophysical properties of the negative electrode material have similar parameters, but the parameter values ​​are different. Among them, the positive electrode material includes but is not limited to: LiCoO2, or NMC, etc., and the negative electrode material includes but is not limited to: graphite, or silicon, etc. This embodiment does not limit the types of the positive electrode material and the negative electrode material.

[0049] Specifically, the thermophysical properties of positive and negative electrode materials include: Thermal conductivity: a physical quantity used to describe the thermal conductivity of a material, where high thermal conductivity helps to disperse or conduct heat more effectively. And / or, Specific heat capacity: used to describe the amount of heat required to raise a unit temperature per unit mass of material. For batteries, specific heat capacity determines its ability to change temperature during charging and discharging. And / or, Density affects the energy density and overall heat distribution of the battery.

[0050] The thermophysical properties of the diaphragm structure include: diaphragm thickness, thermal conductivity and porosity of the diaphragm structure. Among them, the thickness of the diaphragm determines the resistance to heat transfer inside the battery. Thicker diaphragms may limit the speed of heat transfer. The thermal conductivity of the diaphragm material affects its heat distribution and temperature balance inside the battery. The porosity of the diaphragm affects the efficiency of the diaphragm structure in circulation and heat conduction.

[0051] The thermophysical properties of electrolytes include: electrolyte composition, electrolyte conductivity and electrolyte thermal conductivity. Among them, the main components and concentration of the electrolyte have an important impact on the thermal management of the battery. The conductivity of the electrolyte directly affects the conduction mode of the current inside the battery, thereby affecting the generation and distribution of heat. The thermal conductivity of the electrolyte determines the degree of influence of the electrolyte on the heat transfer inside the battery.

[0052] According to the above content, the thermophysical properties of positive and negative electrode materials, diaphragm structure and electrolyte are crucial to establishing the thermal management model of the battery. By accurately describing and understanding these thermophysical properties, the thermal characteristics of the battery under different working conditions can be more accurately predicted and optimized, and then the battery model can be adjusted by adjusting the selection of positive and negative electrode materials, the thickness of the diaphragm or the composition of the electrolyte to optimize and improve the thermal management performance and safety of the battery, thereby improving the battery performance and life.

[0053] Step 102 , based on the heat conduction, convection and radiation heat transfer mechanisms inside the battery, and the heat exchange process between the inside of the battery and the external environment, a heat transfer model inside the battery is established.

[0054] Thermal conduction inside a battery is the most basic form of heat transfer, which describes how heat is transferred through solid materials inside the battery. Batteries are usually composed of electrolytes, separators, positive and negative electrode materials, etc. Each material has a specific thermal conductivity, density and specific heat capacity.

[0055] Specifically, the heat transfer model of heat conduction is expressed by the following formula:

[0056]

[0057] Where T is temperature, ρ is density, C p is the specific heat capacity, k is the thermal conductivity, is the gradient operator. The heat transfer model of thermal conduction describes how heat is transferred through the internal materials of the battery.

[0058] Convective heat transfer takes into account the heat exchange between the battery surface and the surrounding environment, usually achieved through convection and radiation. Convective heat transfer model: Convective heat transfer consists of the heat transfer effect of a fluid (usually air) on the battery surface. Specifically, the convection heat transfer model is expressed by the following equation:

[0059] q conv =h conv ·(T sur -T ∞ );

[0060] q conv is the convective heat transfer rate, h conv is the convective heat transfer coefficient, T sur is the battery surface temperature, T ∞ is the ambient temperature.

[0061] The radiation heat transfer model takes into account the heat radiation from the battery surface to the external space. According to the Stefan-Boltzmann law, the surface radiation heat flux density q rad It can be expressed as:

[0062]

[0063] Among them, q rad is the surface radiation heat flux density, ∈ is the surface emissivity, σ is the Stefan-Boltzmann constant, T sur is the battery surface temperature, T ∞ is the ambient temperature.

[0064] The heat transfer model of the heat exchange process between the battery and the external environment is described by a combination of convection and radiation and is expressed by the following formula:

[0065] q total =q conv +q rad ;

[0066] Among them, q total is the total heat exchange between the battery and the external environment, q rad is the surface radiation heat flux, q conv is the convective heat transfer rate.

[0067] In this embodiment, all possible modes of heat transfer on the battery surface are considered, which has a significant impact on the overall temperature distribution and steady-state operation status.

[0068] In addition, when establishing the above heat transfer model, it is necessary to predefine boundary conditions, such as the convection heat transfer coefficient q on the battery surface. conv , surface emissivity ∈, ambient temperature T ∞ Etc. Model validation is usually carried out through measured data or known theoretical data to ensure the accuracy and applicability of the model.

[0069] Step 103 , coupling the electrochemical reaction kinetics model of the battery with the heat transfer model to obtain a coupled model.

[0070] The electrochemical reaction kinetics of a battery describes the change in the rate of the electrochemical reaction inside the battery over time, and is usually described by the Butler-Volmer equation or its variants. Schematically: The electrochemical reaction kinetics model of a battery is represented by the following formula:

[0071]

[0072] Where j is the current density, j0 is the reaction rate constant, and α a ,α c is the logarithmic transfer coefficient of the electrochemical reaction, F is the Faraday constant, E a ,E c is the open circuit potential of the anode and cathode, E ref is the reference potential, η is the electrode polarization, R is the gas constant, and T is the temperature.

[0073] According to the above embodiments, the heat transfer process describes the heat exchange between the inside of the battery and the external environment, and the heat transfer model may include heat transfer models of heat conduction, convection and radiation heat transfer mechanisms.

[0074] The electrochemical reaction kinetics model of the battery is coupled with the heat transfer model to obtain a coupled model, which can be implemented based on the energy conservation equation, specifically expressed by the following formula:

[0075]

[0076] Where ρ is the material density, C p is the specific heat capacity, k is the thermal conductivity, T is the temperature, q chem is the heat generated or absorbed by the electrochemical reaction, q rad is the surface radiation heat flux, q conv is the convective heat transfer rate, is the gradient operator.

[0077] Among them, q chem The enthalpy change of the electrochemical reaction can be obtained by experimental measurement or consulting thermodynamic data, and the reaction rate j at a specific electrode potential obtained by the electrochemical reaction kinetic model is obtained based on the enthalpy change. The specific heat capacity can be determined by solving the thermophysical properties of the battery structure.

[0078] In this embodiment, the model parameters of the coupling model are obtained by calibrating and verifying the parameters using experimental data.

[0079] Among them, the use of experimental data for parameter calibration and verification includes: experimentally obtaining the temperature response data of the battery under different working conditions to obtain the realization data; the experimental data is used to calibrate the model parameters in the coupling model (such as the thermophysical properties of the material and the electrochemical reaction kinetic parameters); the coupling model is verified using the experimental data, the temperature response predicted by the model is compared with the actual measurement data, the model parameters are adjusted, and the adjusted coupling model is obtained for battery thermal simulation.

[0080] The experimental data includes the temperature data of the battery under actual working conditions obtained in experiments or existing data sources. These experimental data can come from actual battery tests, experimental results reported in literature, or other reliable data sources.

[0081] Verify the coupled model using experimental data, including comparing the measured data with the temperature predicted by the model. Before comparison, it is necessary to ensure that the measured data and the model-predicted data are compatible in terms of time and spatial resolution. Based on the comparison results, calculate the error or difference between the measured data and the model-predicted data. Calculating the error or difference can be done through a variety of statistical methods, such as the root mean square error (RMSE) or the mean absolute error (MAE). If there is a significant difference between the measured data and the model-predicted data (for example, exceeding a preset difference threshold), the model can be optimized by adjusting the model parameters in the coupled model. For example, the thermal conductivity coefficient, convective heat transfer coefficient, or emissivity can be adjusted.

[0082] Through the above verification process, it can be ensured that the various assumptions and simplifications used in the coupling model are consistent with the actual situation. Sometimes, the simplification of the model may lead to differences between the predicted and measured data. Therefore, after model verification, further verification and adjustment of the model can be carried out. In addition, the stability and consistency of the prediction results of the coupling model under different working conditions (such as different charge and discharge rates, different ambient temperatures, etc.) can also be ensured.

[0083] In addition, the prediction results of the model are compared with existing theoretical models or experimental data in the literature. This helps to verify whether the model is theoretically reasonable and effective. Through the above steps, the accuracy and applicability of the internal heat transfer model of the battery can be gradually verified. The verification process not only helps to confirm the reliability of the model, but also provides guidance for further optimization of the battery thermal management system.

[0084] Step 104 , based on the thermophysical properties of the modeled battery structure and the numerical solution method, the coupling model is solved to obtain the thermal response at different charge-discharge rates.

[0085] The numerical solution method includes, but is not limited to, a finite element method or a finite volume method. The evolution of the internal temperature of the battery over time can be obtained through numerical solution.

[0086] Step 105 , based on the thermal response at different charge-discharge rates, evaluate the impact of different battery designs, electrochemical conditions and operating environments on the battery temperature.

[0087] Specifically, simulation data can be collected to determine how battery temperature changes under different thermophysical properties, electrochemical conditions, and operating environments.

[0088] In summary, the battery thermal simulation model construction and application method provided in this embodiment are to model the thermal physical characteristics of the battery structure, which includes positive and negative electrode materials, a diaphragm structure and an electrolyte; a heat transfer model inside the battery is established based on the heat conduction, convection and radiation heat transfer mechanisms inside the battery, and the heat exchange process between the battery and the external environment; the electrochemical reaction kinetics model of the battery is coupled with the heat transfer model to obtain a coupled model; based on the thermal physical characteristics of the modeled battery structure and the numerical solution method, the coupled model is solved to obtain the thermal response at different charge-discharge rates; based on the thermal response at different charge-discharge rates, the influence of different battery designs, electrochemical conditions and working environments on the battery temperature is evaluated; the problem of poor simulation effect of traditional battery thermal simulation models can be solved; the model combines the physical structure, chemical reaction kinetics and heat transfer characteristics of the battery, and can accurately predict the temperature change and thermal coupling effect of the battery system under different working conditions, thereby improving the accuracy of battery thermal simulation.

[0089] Figure 21 is a block diagram of a battery thermal simulation model construction and application device provided by an embodiment of the present application. The device includes at least the following modules: a first modeling module 210, a second modeling module 220, a model coupling module 230, a thermal response prediction module 240 and a battery evaluation module 250.

[0090] A first modeling module 210, for modeling the thermophysical characteristics of a battery structure, wherein the battery structure includes positive and negative electrode materials, a separator structure and an electrolyte;

[0091] A second modeling module 220, for establishing a heat transfer model inside the battery based on the heat conduction, convection and radiation heat transfer mechanisms inside the battery, and the heat exchange process between the inside of the battery and the external environment;

[0092] A model coupling module 230, used to couple the electrochemical reaction kinetics model of the battery with the heat transfer model to obtain a coupled model;

[0093] A thermal response prediction module 240 is used to solve the coupling model based on the thermophysical characteristics of the modeled battery structure and a numerical solution method to obtain thermal responses at different charge-discharge rates;

[0094] The battery evaluation module 250 is used to evaluate the impact of different battery designs, electrochemical conditions and working environments on the battery temperature based on the thermal responses at different charge-discharge rates.

[0095] For relevant details, refer to the above method embodiment.

[0096] It should be noted that: the battery thermal simulation model construction and its application device provided in the above embodiment only uses the division of the above functional modules as an example when performing battery thermal simulation model construction and its application. In actual application, the above functional allocation can be completed by different functional modules as needed, that is, the internal structure of the battery thermal simulation model construction and its application device is divided into different functional modules to complete all or part of the functions described above. In addition, the battery thermal simulation model construction and its application device provided in the above embodiment and the battery thermal simulation model construction and its application method embodiment belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0097] Optionally, the present application also provides a computer-readable storage medium, in which a program is stored, and the program is loaded and executed by a processor to implement the battery thermal simulation model construction and application method of the above method embodiment.

[0098] Optionally, the present application also provides a computer product, which includes a computer-readable storage medium, in which a program is stored, and the program is loaded and executed by a processor to implement the battery thermal simulation model construction and application method of the above method embodiment.

[0099] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0100] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A battery thermal simulation model construction and its application method, characterized in that: The method comprises: Modeling the thermophysical properties of a battery structure including positive and negative electrode materials, a separator structure, and an electrolyte; Establishing a heat transfer model inside the battery based on the heat conduction, convection and radiation heat transfer mechanisms inside the battery and the heat exchange process between the inside of the battery and the external environment; coupling the electrochemical reaction kinetics model of the battery with the heat transfer model to obtain a coupled model; Solving the coupling model based on the thermophysical properties of the modeled battery structure and a numerical solution method to obtain thermal responses at different charge-discharge rates; Based on the thermal responses at different charge-discharge rates, the effects of different battery designs, electrochemical conditions and working environments on battery temperature are evaluated.

2. The method according to claim 1, characterized in that The thermophysical properties of the positive and negative electrode materials include: thermal conductivity: a physical quantity used to describe the thermal conductivity of a material; and / or, specific heat capacity: used to describe the amount of heat required to increase a unit temperature of a unit mass of material; and / or, density. The thermophysical properties of the diaphragm structure include: diaphragm thickness, thermal conductivity and porosity of the diaphragm structure; The thermophysical properties of the electrolyte include: electrolyte composition, electrical conductivity of the electrolyte and thermal conductivity of the electrolyte.

3. The method according to claim 1, characterized in that The heat transfer model of the heat conduction is expressed by the following formula: Where T is temperature, ρ is density, C p is the specific heat capacity, k is the thermal conductivity, is the gradient operator.

4. The method according to claim 1, characterized in that: The convective heat transfer model is expressed by the following equation: q conv =h conv ·(T sur -T ∞ ); q conv is the convective heat transfer rate, h conv is the convective heat transfer coefficient, T sur is the battery surface temperature, T ∞ is the ambient temperature.

5. The method according to claim 1, characterized in that The radiative heat transfer model is expressed by the following equation: Among them, q rad is the surface radiation heat flux density, ∈ is the surface emissivity, σ is the Stefan-Boltzmann constant, T sur is the battery surface temperature, T ∞ is the ambient temperature.

6. The method according to claim 1, characterized in that The heat transfer model of the heat exchange process between the battery interior and the external environment is described by a combination of convection and radiation and is expressed by the following formula: q total =Q conv +q rad ; Among them, q total is the total heat exchange between the battery and the external environment, q rad is the surface radiation heat flux, q conv is the convective heat transfer rate.

7. The method according to claim 1, characterized in that The electrochemical reaction kinetics model of the battery is coupled with the heat transfer model to obtain a coupled model, which is represented by the following formula: Where ρ is the material density, C p is the specific heat capacity, k is the thermal conductivity, T is the temperature, q chem is the heat generated or absorbed by the electrochemical reaction, q rad is the surface radiation heat flux, q conv is the convective heat transfer rate, is the gradient operator.

8. The method according to any one of claims 1 to 7, characterized in that: The model parameters of the coupling model are obtained by calibrating and verifying the parameters using experimental data.

9. The method according to claim 8, characterized in that The parameter calibration and verification using experimental data includes: The temperature response data of the battery under different working conditions are obtained experimentally to obtain the realization data; the experimental data is used to calibrate the model parameters in the coupling model; The coupled model is verified using the experimental data, the temperature response predicted by the model is compared with the actual measured data, and the model parameters are adjusted to obtain an adjusted coupled model for battery thermal simulation.

10. A battery thermal simulation model construction and its application device, characterized in that: The device comprises: A first modeling module is used to model the thermophysical characteristics of a battery structure, wherein the battery structure includes positive and negative electrode materials, a separator structure and an electrolyte; A second modeling module is used to establish a heat transfer model inside the battery based on the heat conduction, convection and radiation heat transfer mechanisms inside the battery and the heat exchange process between the inside of the battery and the external environment; A model coupling module, used for coupling the electrochemical reaction kinetics model of the battery with the heat transfer model to obtain a coupled model; A thermal response prediction module, for solving the coupling model based on the thermophysical properties of the modeled battery structure and a numerical solution method to obtain thermal responses at different charge-discharge rates; A battery evaluation module is used to evaluate the effects of different battery designs, electrochemical conditions and operating environments on battery temperature based on the thermal responses at different charge-discharge rates.

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