Battery cell heat production capacity obtaining method and system, electronic equipment and storage medium

Abstract

The invention provides a method and system for obtaining the heat production amount of a battery cell, electronic equipment and a storage medium, and relates to the technical field of batteries, and the method comprises the steps: obtaining an actual temperature curve of a to-be-detected battery cell in a thermal runaway process; acquiring cell parameters, environmental parameters and initial kinetic parameters of the to-be-tested cell; inputting the cell parameters, the environmental parameters and the initial kinetic parameters into the simulation coupling model to obtain a simulation temperature curve; adjusting the initial kinetic parameters based on the actual temperature curve and the simulated temperature curve to obtain target kinetic parameters; based on the target kinetic parameters and the simulation coupling model, determining the heat production power of the to-be-tested cell in different reflection stages; and determining the total heat production of the to-be-tested battery cell based on each heat production power. According to the invention, the acquisition precision of the heat production quantity of the battery cell is improved.

Description

Technical Field

[0001] This invention relates to the field of battery technology, and more specifically, to a method, system, electronic device, and storage medium for obtaining heat generated by a battery cell. Background Technology

[0002] Lithium-ion batteries, as the mainstream energy storage device, are widely used in electric vehicles, consumer electronics, and energy storage systems. Assessing the heat generation during thermal runaway of a battery cell is a key issue in lithium-ion battery safety research, involving complex electrochemical reactions and thermodynamic behaviors. Current technologies typically analyze the heat generation characteristics during thermal runaway through experimental testing or numerical simulation.

[0003] However, due to the nonlinear phenomena such as multi-reaction path coupling and material phase transformation during thermal runaway, existing testing and simulation methods are insufficient in obtaining the accuracy of heat generation. Summary of the Invention

[0004] In view of this, the purpose of this application is to overcome the shortcomings of the prior art and provide a method, system, electronic device, and storage medium for obtaining heat generated by battery cells. This application provides the following technical solution: In a first aspect, this application provides a method for obtaining heat generated by a battery cell, the method comprising: Obtain the actual temperature curve of the battery cell under test during thermal runaway; Obtain the cell parameters, environmental parameters, and initial dynamic parameters of the battery cell under test; The cell parameters, environmental parameters, and initial dynamic parameters are input into the simulation coupling model to obtain the simulated temperature curve. Based on the actual temperature curve and the simulated temperature curve, the initial dynamic parameters are adjusted to obtain the target dynamic parameters; Based on the target dynamic parameters and the simulation coupling model, the heat generation power of the battery cell under test at different reaction stages is determined; The total heat generation of the battery cell under test is determined based on the heat generation power of each cell.

[0005] In one embodiment, obtaining the simulation coupling model includes: obtaining a heat generation rate sub-model, a heat conduction sub-model, and a heat dissipation sub-model of the battery cell under test; and coupling the heat generation rate sub-model, the heat conduction sub-model, and the heat dissipation sub-model through a thermal balance equation to obtain the simulation coupling model.

[0006] In one embodiment, adjusting the initial kinetic parameters based on the actual temperature curve and the simulated temperature curve to obtain the target kinetic parameters includes: The root mean square error algorithm is used to determine the deviation between the actual temperature curve and the simulated temperature curve; Determine whether the deviation value is greater than a preset deviation threshold. If so, adjust the initial dynamic parameters using a gradient descent algorithm until the deviation value is less than or equal to the preset deviation threshold. The adjusted initial dynamic parameters are determined as the target dynamic parameters.

[0007] In one embodiment, determining the heat generation power of the battery cell under test at different reaction stages based on the target kinetic parameters and the simulation coupling model includes: Substitute the target dynamic parameters into the heat generation rate sub-model in the simulation coupling model to obtain the target heat generation rate sub-model. Based on the target heat generation rate sub-model, the heat generation power of the battery cell under test is determined at different reaction stages.

[0008] In one embodiment, determining the total heat generation of the battery cell under test based on each of the heat generation powers includes: determining the reaction time corresponding to each of the different reaction stages; performing an integral calculation on the heat generation power corresponding to each of the different reaction stages within the corresponding reaction time; and determining the total heat generation of the battery cell under test based on the results of each integral calculation.

[0009] In one embodiment, determining the total heat generation of the battery cell under test based on the integral calculation results includes: determining the sum of the integral calculation results as the total heat generation.

[0010] In one embodiment, obtaining the actual temperature curve of the battery cell under test during thermal runaway includes: obtaining the initial temperature curve of the battery cell under test during thermal runaway; performing noise reduction processing on the initial temperature curve using a filtering algorithm; and determining the noise-reduced initial temperature curve as the actual temperature curve.

[0011] Secondly, this application provides a battery cell heat generation acquisition system, the system comprising: The first curve acquisition module is used to acquire the actual temperature curve of the battery cell under test during the thermal runaway process. The parameter acquisition module is used to acquire the cell parameters, environmental parameters, and initial dynamic parameters of the battery cell under test. The second curve acquisition module is used to input the cell parameters, the environmental parameters and the initial dynamic parameters into the simulation coupling model to obtain the simulation temperature curve; The parameter adjustment module is used to adjust the initial dynamic parameters based on the actual temperature curve and the simulated temperature curve to obtain the target dynamic parameters; The heat generation power determination module is used to determine the heat generation power of the battery cell under test at different reaction stages based on the target dynamic parameters and the simulation coupling model; The heat generation determination module is used to determine the total heat generation of the battery cell under test based on the heat generation power of each cell.

[0012] Thirdly, this application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the computer program executes the cell heat generation acquisition method described in the first aspect when it is run on the processor.

[0013] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the cell heat generation acquisition method described in the first aspect.

[0014] This application provides a method, system, electronic device, and storage medium for obtaining heat generation from a battery cell. The method includes: obtaining the actual temperature curve of the battery cell under test during thermal runaway; obtaining the cell parameters, environmental parameters, and initial kinetic parameters of the battery cell under test; inputting the cell parameters, environmental parameters, and initial kinetic parameters into a simulation coupling model to obtain a simulated temperature curve; adjusting the initial kinetic parameters based on the actual temperature curve and the simulated temperature curve to obtain target kinetic parameters; determining the heat generation power of the battery cell under test at different reaction stages based on the target kinetic parameters and the simulation coupling model; and determining the total heat generation of the battery cell under test based on each heat generation power. This method achieves matching coupling between the actual temperature curve and the simulated temperature curve, improves the accuracy of obtaining the heat generation during thermal runaway of the battery cell under test, and reduces testing costs.

[0015] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A schematic flowchart of a method for obtaining heat generated by a battery cell according to an embodiment of this application is shown. Figure 2 shows a schematic diagram of the battery cell structure of the battery cell under test provided in the embodiment of this application, wherein (a) shows a schematic diagram of the overall structure of the battery cell, and (b) shows a schematic diagram of the internal structure of the battery cell; Figure 3 A schematic diagram of the actual temperature curve and the simulated temperature curve provided in the embodiments of this application is shown; Figure 4 This paper shows a graph illustrating the change in heat generation power during the thermal runaway process of the battery cell under test, as provided in an embodiment of this application. Figure 5 A schematic diagram of a cell heat generation acquisition system provided in an embodiment of this application is shown. Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown.

[0018] Explanation of key component symbols: 500 - Cell heat generation acquisition system; 501 - First curve acquisition module; 502 - Parameter acquisition module; 503 - Second curve acquisition module; 504 - Parameter adjustment module; 505 - Heat generation power determination module; 506 - Heat generation determination module; 600 - Electronic equipment; 601 - Transceiver; 602 - Processor; 603 - Memory. Detailed Implementation

[0019] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0020] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the template description is for the purpose of describing particular embodiments only and is not intended to limit the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0022] Example 1 The heat generated during thermal runaway in a battery cell is a core parameter for assessing battery safety risks, optimizing thermal management systems, and protecting against thermal runaway, and is crucial for improving battery safety performance. Current technologies typically calculate heat generation by experimentally testing heat generation or by obtaining simulated temperatures through simulation models. Experimental testing methods are mostly applied under ideal adiabatic conditions, and their results are difficult to directly transfer to real-world scenarios. Simulation models, on the other hand, do not adequately consider the coupling between heat conduction and heat generation, resulting in insufficient accuracy in the heat generation data obtained using current methods. For further information, please refer to [link to relevant documentation / reference]. Figure 1 This application provides a method for obtaining heat generated by a battery cell, including steps S110 to S160.

[0023] Step S110: Obtain the actual temperature curve of the battery cell under test during the thermal runaway process.

[0024] In this embodiment, after thermal runaway of the battery cell under test is triggered, temperature data of the entire thermal runaway process of the battery cell under test is collected by a temperature sensor arranged at the center of the surface of the battery cell under test to form an initial temperature curve. Then, after noise reduction processing to eliminate interference signals, the actual temperature curve is finally obtained.

[0025] Please refer to Figure 2, which shows a schematic diagram of the cell structure of the battery cell under test provided in an embodiment of this application.

[0026] In one embodiment, obtaining the actual temperature curve of the battery cell under test during thermal runaway includes: obtaining the initial temperature curve of the battery cell under test during thermal runaway; performing noise reduction processing on the initial temperature curve using a filtering algorithm; and determining the noise-reduced initial temperature curve as the actual temperature curve.

[0027] In this embodiment, the raw temperature change data of the battery cell under test during the entire process of thermal runaway from initiation to stabilization is first acquired using a temperature sensor. This continuous temperature-time data is then integrated to form an initial temperature curve. This initial temperature curve contains the true temperature change trend during thermal runaway, but may contain noise signals such as environmental interference and sensor errors. A filtering algorithm, such as a moving average algorithm, is used to process the initial temperature curve, filtering out invalid noise components and retaining the core characteristics of temperature changes. Finally, the initial temperature curve after noise reduction and interference removal is determined as the actual temperature curve.

[0028] It is understandable that the actual temperature curve not only fully preserves key information such as the temperature inflection point and the change in heating rate during thermal runaway, but also eliminates irrelevant interference, and can be used to quantify the deviation from the simulated temperature curve and for subsequent parameter calibration.

[0029] Step S120: Obtain the cell parameters, environmental parameters, and initial dynamic parameters of the cell under test.

[0030] In this embodiment, the cell parameters include: physical parameters and thermal characteristic parameters of the cell under test, wherein the physical characteristic parameters include: mass, size and density, and the thermal characteristic parameters include: specific heat capacity and thermal conductivity; the environmental parameters include: ambient temperature, heat dissipation area and heat dissipation coefficient; the initial kinetic parameters include: heat release per kilogram of material reaction, unit carbon content, pre-exponential factor, reaction activation energy and reaction order.

[0031] It should be noted that the thermal runaway process of the battery cell under test is divided into several different reaction stages, and the initial kinetic parameters are different for each reaction stage.

[0032] Step S130: Input the cell parameters, the environmental parameters, and the initial dynamic parameters into the simulation coupling model to obtain the simulation temperature curve.

[0033] In this embodiment, the collected cell parameters, environmental parameters, and initial kinetic parameters are first input into the constructed simulation coupling model according to the required format. The simulation coupling model internally links the three major physical processes of heat generation, heat conduction, and heat dissipation through the thermal balance equation. Subsequently, the thermal balance equation in the model is discretized, and the entire thermal runaway cycle is broken down into multiple continuous micro-time steps. Then, the finite element algorithm is used to iteratively calculate the temperature change of each micro-unit inside the cell in each time step, starting from the initial ambient temperature, with a focus on the temperature data at the center of the cell. Finally, the cell center temperatures of all time steps are arranged in chronological order to form a continuous simulated temperature curve. This curve will be used to quantify the deviation from the measured actual temperature curve, providing a basis for subsequent kinetic parameter calibration.

[0034] In one embodiment, obtaining the simulation coupling model includes: obtaining a heat generation rate sub-model, a heat conduction sub-model, and a heat dissipation sub-model of the battery cell under test; and coupling the heat generation rate sub-model, the heat conduction sub-model, and the heat dissipation sub-model through a thermal balance equation to obtain the simulation coupling model.

[0035] In this embodiment, the heat generation rate sub-model is divided into four reaction stages according to the temperature change trend. The total heat generation rate is calculated based on the Arrhenius equation and superimposed with the SOC correction function and cell mass. The thermal conduction sub-model adopts a three-dimensional heat conduction equation to simplify the cell structure into a layered structure to simulate internal heat transfer, while considering the differences in thermal conductivity in three directions. The heat dissipation sub-model is based on Newton's law of cooling to quantify the heat exchange process between the cell surface and the external environment. Then, the above three sub-models are coupled through the heat balance equation, so that the total heat generation rate output by the heat generation rate sub-model is used as the heat input of the thermal conduction sub-model, and the cell surface temperature output by the thermal conduction sub-model is used as the input of the heat dissipation sub-model. The heat exchange result of the heat dissipation sub-model has a reverse effect on the internal temperature change of the cell, forming a dynamic and interconnected complete simulation system. Finally, a simulation coupling model that can comprehensively reflect the coupling effect of heat generation, thermal conduction and heat dissipation is obtained.

[0036] Step S140: Based on the actual temperature curve and the simulated temperature curve, adjust the initial dynamic parameters to obtain the target dynamic parameters.

[0037] In this embodiment, the degree of deviation between the actual temperature curve and the simulated temperature curve is quantified to determine whether the initial kinetic parameters are suitable for the actual heat generation law of the battery cell under test. When the deviation does not meet the requirements, the initial kinetic parameters are iteratively adjusted through a specific algorithm until the simulated temperature curve can accurately replicate the changing trend of the actual temperature curve. Finally, the adjusted initial kinetic parameters are determined as the target kinetic parameters to ensure that the subsequent heat generation related calculation results based on the target kinetic parameters are highly consistent with the actual situation of the battery cell.

[0038] In one embodiment, adjusting the initial kinetic parameters based on the actual temperature curve and the simulated temperature curve to obtain the target kinetic parameters includes: using a root mean square error algorithm to determine the deviation value between the actual temperature curve and the simulated temperature curve; determining whether the deviation value is greater than a preset deviation threshold; if so, adjusting the initial kinetic parameters using a gradient descent algorithm until the deviation value is less than or equal to the preset deviation threshold; and determining the adjusted initial kinetic parameters as the target kinetic parameters.

[0039] In this embodiment, please refer to Figure 3 , Figure 3 A schematic diagram of the actual temperature curve and the simulated temperature curve is shown. Using the root mean square error algorithm, the temperature difference between the actual and simulated temperature curves at corresponding time points is calculated to obtain a deviation value that comprehensively reflects the degree of fit between the two curves. The calculation formula is as follows: Where RMSE represents the deviation value. This represents the simulated temperature curve. Represents the actual temperature curve. Let K represent the Kth time point, and N represent the Nth time point.

[0040] If the deviation value is greater than the preset deviation threshold, the parameter adjustment process is initiated. The initial kinetic parameters (including heat of reaction per kilogram of substance, unit carbon content, pre-exponential factor, activation energy, and reaction order) are adjusted using a gradient descent algorithm. During the adjustment process, the adjusted parameters are continuously input into the simulation coupling model to generate new simulated temperature curves, and the deviation value is recalculated until the new deviation value is less than or equal to the preset deviation threshold. Finally, the initial kinetic parameters that meet the deviation requirements after this adjustment are determined as the target kinetic parameters, and the parameter calibration is completed.

[0041] Step S150: Based on the target dynamic parameters and the simulation coupling model, determine the heat generation power of the cell under test at different reaction stages.

[0042] By substituting the parameters of the actual thermal runaway characteristics of the battery cell into the heat generation rate sub-model in the model, and by quantifying the heat generation process of each reaction stage through the sub-model, the heat generation power of each stage is obtained. This clarifies the heat generation contribution of different reaction stages and lays the foundation for accurate integral calculation of the total heat generation.

[0043] In one embodiment, determining the heat generation power of the battery cell under test at different reaction stages based on the target kinetic parameters and the simulation coupling model includes: substituting the target kinetic parameters into the heat generation rate sub-model in the simulation coupling model to obtain a target heat generation rate sub-model; and determining the heat generation power of the battery cell under test at different reaction stages based on the target heat generation rate sub-model.

[0044] In this embodiment, the target kinetic parameters (including the heat release per kilogram of material, pre-exponential factor, activation energy, reaction order, and unit carbon content specific to each reaction stage) are substituted into the heat generation rate sub-model in the simulation coupling model to replace the initial kinetic parameters, thereby obtaining a target heat generation rate sub-model that can truly reflect the heat generation characteristics of the battery cell under test. Subsequently, based on this target heat generation rate sub-model, combined with the real-time temperature of the middle of the battery cell at each time step output by the simulation coupling model, the remaining proportion of active material at each reaction stage, as well as parameters such as battery cell mass and SOC correction function, the heat generation power of the battery cell under test is calculated separately according to the four reaction stages of thermal runaway (SEI film decomposition heat generation stage, negative electrode and electrolyte decomposition heat generation stage, positive electrode and electrolyte decomposition heat generation stage, and electrolyte decomposition heat generation stage), and finally the heat generation power of the battery cell under test at different reaction stages is determined.

[0045] Please see Figure 4 , Figure 4The diagram shows the change in heat generation power during the thermal runaway process of the battery cell under test, as provided in an embodiment of this application.

[0046] Step S160: Determine the total heat generation of the battery cell under test based on the heat generation power of each cell.

[0047] In this embodiment, based on the heat generation power of each reaction stage, the time range corresponding to different stages is defined. By integrating the heat generation power of each stage within the corresponding time, and then integrating the integration results of each stage, the total heat generation data that can comprehensively reflect the total heat release situation of the cell thermal runaway is finally obtained.

[0048] In one embodiment, determining the total heat generation of the battery cell under test based on each of the heat generation powers includes: determining the reaction time corresponding to each of the different reaction stages; performing an integral calculation on the heat generation power corresponding to each of the different reaction stages within the corresponding reaction time; and determining the total heat generation of the battery cell under test based on the results of each integral calculation.

[0049] First, the reaction time corresponding to each of the four reaction stages in the thermal runaway process is determined, and the start and end time range of each stage is clarified. Then, for the heat generation power corresponding to each reaction stage, integral calculations are performed within its dedicated reaction time to obtain the heat generation data of each reaction stage. Finally, based on the integral calculation results of each stage, the total heat generation of the battery cell under test is determined through a reasonable integration method to ensure that the total heat generation calculation can accurately reflect the heat generation contribution of each stage.

[0050] In one embodiment, determining the total heat generation of the battery cell under test based on the integral calculation results includes: determining the sum of the integral calculation results as the total heat generation.

[0051] Based on the integral calculation results of different reaction stages (i.e., the heat generated at each stage), the integral calculation results of all reaction stages are summed. By accumulating the heat generated at each stage, the total heat released by the cell under test during the entire thermal runaway process is obtained.

[0052] The method for obtaining heat generation of a battery cell provided in this application involves: acquiring the actual temperature curve of the battery cell under test during thermal runaway; acquiring the cell parameters, environmental parameters, and initial kinetic parameters of the battery cell under test; inputting the cell parameters, environmental parameters, and initial kinetic parameters into a simulation coupling model to obtain a simulated temperature curve; adjusting the initial kinetic parameters based on the actual temperature curve and the simulated temperature curve to obtain target kinetic parameters; determining the heat generation power of the battery cell under test at different reaction stages based on the target kinetic parameters and the simulation coupling model; and determining the total heat generation of the battery cell under test based on each heat generation power. This method achieves matching coupling between the actual temperature curve and the simulated temperature curve, improves the accuracy of obtaining the heat generation during thermal runaway of the battery cell under test, and reduces testing costs.

[0053] Example 2 In addition, please see Figure 5 This application provides a battery cell heat generation acquisition system 500, comprising: The first curve acquisition module 501 is used to acquire the actual temperature curve of the battery cell under test during the thermal runaway process. The parameter acquisition module 502 is used to acquire the cell parameters, environmental parameters and initial dynamic parameters of the battery cell under test; The second curve acquisition module 503 is used to input the cell parameters, the environmental parameters and the initial dynamic parameters into the simulation coupling model to obtain the simulation temperature curve; The parameter adjustment module 504 is used to adjust the initial dynamic parameters based on the actual temperature curve and the simulated temperature curve to obtain the target dynamic parameters; The heat generation power determination module 505 is used to determine the heat generation power of the battery cell under test at different reaction stages based on the target dynamic parameters and the simulation coupling model. The heat generation determination module 506 is used to determine the total heat generation of the battery cell under test based on the heat generation power of each of the aforementioned heat generation powers.

[0054] The cell heat generation acquisition system 500 provided in this application embodiment can execute the cell heat generation acquisition method provided in the above method embodiment 1. To avoid repetition, it will not be described again here.

[0055] Example 3 Furthermore, embodiments of the present invention provide an electronic device, including a memory and a processor. The memory stores a computer program, and the computer program executes the cell heat generation acquisition method provided in Embodiment 1 when running on the processor.

[0056] For details, please see Figure 6The electronic device 600 includes a transceiver 601, a bus interface, and a processor 602. The processor 602 is used to acquire the actual temperature curve of the battery cell under test during thermal runaway; acquire the cell parameters, environmental parameters, and initial kinetic parameters of the battery cell under test; input the cell parameters, environmental parameters, and initial kinetic parameters into a simulation coupling model to obtain a simulated temperature curve; adjust the initial kinetic parameters based on the actual temperature curve and the simulated temperature curve to obtain target kinetic parameters; determine the heat generation power of the battery cell under test at different reaction stages based on the target kinetic parameters and the simulation coupling model; and determine the total heat generation of the battery cell under test based on each heat generation power.

[0057] In this embodiment of the invention, the electronic device 600 further includes a memory 603. Figure 6 In this context, the bus architecture may include any number of interconnected buses and bridges, specifically linking various circuits together, represented by one or more processors (processor 602) and memory (memory 603). The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. The bus interface provides an interface. The transceiver 601 may be multiple elements, including transmitters and receivers, providing a unit for communicating with various other devices over a transmission medium. The processor 602 is responsible for managing the bus architecture and general processing, and the memory 603 may store data used by the processor 602 during operation.

[0058] The electronic device 600 provided in this application embodiment can execute the cell heat generation acquisition method provided in the above method embodiment 1. To avoid repetition, it will not be described again here.

[0059] Example 4 Furthermore, embodiments of the present invention provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the cell heat generation acquisition method provided in Embodiment 1.

[0060] In this embodiment, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0061] The computer-readable storage medium provided in this embodiment can implement the cell heat generation acquisition method provided in Embodiment 1. To avoid repetition, it will not be described again here.

[0062] In all examples shown and described herein, any specific values ​​should be interpreted as merely exemplary and not as limitations; therefore, other examples of exemplary embodiments may have different values.

[0063] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0064] The above-described embodiments are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A method for obtaining heat generation of an electric cell, characterized by, The method comprises: acquiring an actual temperature curve of a to-be-tested battery cell in a thermal runaway process; acquiring cell parameters, environmental parameters, and initial kinetic parameters of the to-be-tested battery cell; inputting the cell parameters, the environmental parameters, and the initial kinetic parameters into a simulation coupling model to obtain a simulation temperature curve; adjusting the initial kinetic parameters based on the actual temperature curve and the simulation temperature curve to obtain target kinetic parameters; determining heat generation powers of the to-be-tested battery cell in different reaction stages based on the target kinetic parameters and the simulation coupling model; determining a total heat generation amount of the to-be-tested battery cell based on the heat generation powers.

2. The method of claim 1, wherein, The acquiring of the simulation coupling model comprises: acquiring a heat generation rate sub-model, a heat conduction sub-model, and a heat dissipation sub-model of the to-be-tested battery cell; coupling the heat generation rate sub-model, the heat conduction sub-model, and the heat dissipation sub-model through a heat balance equation to obtain the simulation coupling model.

3. The method of claim 2, wherein, The adjusting of the initial kinetic parameters based on the actual temperature curve and the simulation temperature curve to obtain target kinetic parameters comprises: determining a deviation value between the actual temperature curve and the simulation temperature curve by using a root mean square error algorithm; determining whether the deviation value is greater than a preset deviation threshold value, and if yes, adjusting the initial kinetic parameters by using a gradient descent algorithm until the deviation value is less than or equal to the preset deviation threshold value; determining the adjusted initial kinetic parameters as the target kinetic parameters.

4. The method of claim 3, wherein, The determining of the heat generation powers of the to-be-tested battery cell in different reaction stages based on the target kinetic parameters and the simulation coupling model comprises: substituting the target kinetic parameters into a heat generation rate sub-model in the simulation coupling model to obtain a target heat generation rate sub-model; determining the heat generation powers of the to-be-tested battery cell in different reaction stages based on the target heat generation rate sub-model.

5. The method of claim 4, wherein, The determining of the total heat generation amount of the to-be-tested battery cell based on the heat generation powers comprises: determining reaction times corresponding to different reaction stages, and performing integral calculation on the heat generation powers corresponding to different reaction stages within the corresponding reaction times; determining the total heat generation amount of the to-be-tested battery cell according to the integral calculation results.

6. The method of claim 5, wherein, The determining of the total heat generation amount of the to-be-tested battery cell according to the integral calculation results comprises: determining a sum of the integral calculation results as the total heat generation amount.

7. The method of claim 1, wherein, The acquiring of the actual temperature curve of the to-be-tested battery cell in the thermal runaway process comprises: acquiring an initial temperature curve of the to-be-tested battery cell in the thermal runaway process; performing denoising processing on the initial temperature curve by using a filtering algorithm; determining the denoised initial temperature curve as the actual temperature curve.

8. An electric cell heat generation amount acquisition system characterized by comprising: The system comprises: a first curve acquisition module configured to acquire an actual temperature curve of a to-be-tested battery cell in a thermal runaway process; a parameter acquisition module configured to acquire cell parameters, environmental parameters, and initial kinetic parameters of the to-be-tested battery cell; a second curve acquisition module configured to input the cell parameters, the environmental parameters, and the initial kinetic parameters into a simulation coupling model to obtain a simulation temperature curve; a parameter adjustment module, configured to adjust the initial kinetic parameters to obtain target kinetic parameters based on the actual temperature curve and the simulated temperature curve; a heat generation power determination module, configured to determine heat generation powers of the battery cell in different reflection stages based on the target kinetic parameters and the simulated coupling model; a total heat generation determination module, configured to determine a total heat generation of the battery cell based on the heat generation powers.

9. An electronic device, comprising: A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the battery cell heat generation acquisition method in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the battery cell heat generation acquisition method in any one of claims 1-7.

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