A method, device, equipment and medium for constructing a model of a power battery

Abstract

An embodiment of the present invention discloses a method, device, equipment and medium for constructing a model of a power battery. The method includes: obtaining an initial pressure value corresponding to a heat insulation and buffer member in the power battery; determining an initial simulation model of the power battery based on preset model parameters of the power battery and the initial pressure value; wherein, the initial simulation model does not include the heat insulation and buffer member, and a pressure corresponding to the initial pressure value is applied to the surface of the battery cell unit corresponding to the heat insulation and buffer member in the initial simulation model. By using pressure to replace the heat insulation and buffer member between the battery cell units to construct the initial simulation model, the embodiment of the present invention enables the simulation process of the power battery to consider the influence of the compression and rebound force brought by the heat insulation and buffer member between the battery cell units, solves the problem of poor accuracy of the existing simulation model of the power battery, thereby improving the practicability of the simulation model of the power battery, and further improving the accuracy of the simulation result of the power battery.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of new energy vehicles, and in particular, to a method, device, equipment and medium for constructing a model of a power battery. Background Art

[0002] The power battery pack is a key component of a new energy vehicle and its power source. Among them, the power battery module is the core component in the power battery pack and the component with the largest weight ratio in the battery pack. The power battery module is composed of components such as battery cell monomers, aluminum end plates, side plates, heat insulation and buffer parts, electrical connectors and wiring harnesses.

[0003] In the prior art, a fine modeling method is often used to perform simulation analysis on power battery packs under various working conditions to check the use performance of the power battery packs. However, the existing fine modeling method only models based on the geometric model of the power battery, and the modeling conditions are not comprehensive enough, and the practicability is poor. Summary of the Invention

[0004] The embodiments of the present invention provide a method, device, equipment and medium for constructing a model of a power battery, so as to improve the practicability of the simulation model of the power battery, and further improve the accuracy of the simulation results of the power battery.

[0005] In a first aspect, the embodiments of the present invention provide a method for constructing a model of a power battery, the method comprising:

[0006] Obtaining an initial pressure value corresponding to the heat insulation and buffer part in the power battery;

[0007] Based on the preset model parameters of the power battery and the initial pressure value, determining an initial simulation model of the power battery; wherein, the initial simulation model does not include the heat insulation and buffer part, and a pressure corresponding to the initial pressure value is applied to the surface of the battery cell monomer corresponding to the heat insulation and buffer part in the initial simulation model.

[0008] In a second aspect, the embodiments of the present invention further provide a device for constructing a model of a power battery, the device comprising:

[0009] An initial pressure value obtaining module, configured to obtain an initial pressure value corresponding to the heat insulation and buffer part in the power battery;

[0010] An initial simulation model determining module, configured to determine an initial simulation model of the power battery based on the preset model parameters of the power battery and the initial pressure value; wherein, the initial simulation model does not include the heat insulation and buffer part, and a pressure corresponding to the initial pressure value is applied to the surface of the battery cell monomer corresponding to the heat insulation and buffer part in the initial simulation model.

[0011] In a third aspect, the embodiments of the present invention further provide an electronic device, the electronic device comprising:

[0012] One or more processors;

[0013] A memory for storing one or more programs;

[0014] When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement any one of the above-mentioned power battery model construction methods.

[0015] In a fourth aspect, an embodiment of the present invention further provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute any one of the above-mentioned power battery model construction methods when executed by a computer processor.

[0016] The embodiments in the above invention have the following advantages or beneficial effects:

[0017] In the embodiment of the present invention, by using pressure to replace the heat insulation buffer between the battery cells to construct an initial simulation model, the simulation process of the power battery takes into account the influence of the compression and rebound force brought by the heat insulation buffer between the battery cells, thereby improving the practicability of the simulation model of the power battery, and further improving the accuracy of the simulation results of the power battery, providing a reference solution for the subsequent maintenance and optimization of the power battery. Description of the Drawings

[0018] Figure 1 is a flowchart of a method for constructing a model of a power battery provided in Embodiment 1 of the present invention;

[0019] Figure 2 is a schematic diagram of the hardware structure of a power battery provided in Embodiment 1 of the present invention;

[0020] Figure 3 is a schematic diagram of the model of a battery cell in an initial simulation model provided in Embodiment 1 of the present invention;

[0021] Figure 4 is a flowchart of a method for constructing a model of a power battery provided in Embodiment 2 of the present invention;

[0022] Figure 5 is a flowchart of a method for constructing a model of a power battery provided in Embodiment 3 of the present invention;

[0023] Figure 6 is a specific example flowchart of a method for constructing a model of a power battery provided in Embodiment 3 of the present invention;

[0024] Figure 7 is a schematic diagram of a device for constructing a model of a power battery provided in Embodiment 4 of the present invention;

[0025] Figure 8 It is a schematic structural diagram of an electronic device provided in Embodiment 5 of the present invention. Detailed implementation manners

[0026] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present invention, rather than limiting the present invention. In addition, it should be noted that for the convenience of description, only parts related to the present invention are shown in the drawings, rather than all the structures.

[0027] Embodiment 1

[0028] Figure 1 It is a flowchart of a method for constructing a model of a power battery provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of constructing a simulation model of a power battery. This method can be executed by a device for constructing a model of a power battery. The device can be implemented in a software and / or hardware manner, and the device can be configured in a terminal device. Exemplarily, the terminal device can be an intelligent terminal such as a mobile terminal, a notebook computer, a desktop computer, a server, and a tablet computer. The specific steps are as follows:

[0029] S110. Obtain an initial pressure value corresponding to the heat insulation and buffer member in the power battery.

[0030] Among them, the power battery is a power source that provides power for tools. Exemplarily, the power battery can be a storage battery that provides power for new energy vehicles, electric trains, electric bicycles, and golf carts, etc. The power battery is composed of the process from the battery cell to the module, and then from the module to the battery pack. In this embodiment, the power battery can be a power battery module or a power battery pack. Specifically, the power battery module can include a system such as an end side plate for fixing the power battery monomer, a heat insulation and buffer member, a battery cell monomer, a collecting member, and an electrical member. The power battery pack can be a system that relies on a battery box to load subsystems such as a power battery module, a thermal management system, an electrical member, and a main control battery management system.

[0031] Among them, generally, the heat insulation and buffer member is arranged between two battery cell monomers in the power battery, and plays a role in heat insulation and compression buffering. Figure 2 It is a schematic hardware structure diagram of a power battery provided in Embodiment 1 of the present invention. Figure 2 The two white rectangles in it respectively represent battery cell monomer 1 and battery cell monomer 2, and the black matrix represents the heat insulation and buffer member arranged between the two battery cell monomers.

[0032] Among them, exemplarily, the initial pressure value can be used to describe the pressure value of the compression and rebound force generated by the heat insulation and buffer member on the battery cell monomer.

[0033] In one embodiment, optionally, obtaining an initial pressure value corresponding to the heat insulation and buffer member in the power battery includes: obtaining the initial pressure value corresponding to the heat insulation and buffer member in the power battery input by the user. Specifically, the initial pressure value can be preset by the user.

[0034] S120. Based on the preset model parameters and the initial pressure value of the power battery, determine the initial simulation model of the power battery.

[0035] Specifically, the preset model parameters include, but are not limited to, the geometric parameters and physical parameters of the power battery. Exemplarily, the geometric parameters of the power battery include, but are not limited to, the battery components in the power battery, the dimensions of each battery component, and the positions of each battery component, etc. Among them, the battery components include, but are not limited to, at least two battery cell monomers, a cooling plate, a connecting pole piece, etc. Exemplarily, the physical parameters of the power battery include, but are not limited to, the physical parameters of the battery components and the combined parameters between the battery components, etc. Among them, the physical parameters of the battery components include, but are not limited to, the power of the battery cell monomer and the material of the cooling plate, etc., and the combined parameters include, but are not limited to, the connection relationship between the battery components. The preset model parameters of the power battery are not limited herein.

[0036] Specifically, when the power battery includes at least two battery cell monomers, in this embodiment, the number of initial pressure values corresponding to the heat insulation and buffer member in the power battery is at least one, and among them, each initial pressure value can be the same, and of course, they can also be different.

[0037] Specifically, the initial simulation model can be a model for performing performance simulation on the power battery. Exemplarily, based on the preset model parameters and the initial pressure value of the power battery, finite element modeling is performed through finite element software to construct the initial simulation model.

[0038] In this embodiment, the initial simulation model does not include the heat insulation and buffer member, and a pressure corresponding to the initial pressure value is applied to the surface of the battery cell monomer corresponding to the heat insulation and buffer member in the initial simulation model. Figure 3 It is a schematic diagram of the model of the battery cell monomer in the initial simulation model provided by Embodiment 1 of the present invention. In this embodiment, the compression and rebound force is used to replace the heat insulation and buffer member in the power battery.

[0039] The technical solution of this embodiment constructs the initial simulation model by using the compression and rebound force to replace the heat insulation and buffer member between the battery cell monomers, so that the compression and rebound force effect brought by the heat insulation and buffer member between the battery cell monomers is considered in the simulation process of the power battery, solves the problem of poor accuracy of the existing simulation model of the power battery, thereby improves the practicability of the simulation model of the power battery, and further improves the accuracy of the simulation result of the power battery, providing a reference solution for the maintenance and optimization of the power battery.

[0040] Embodiment Two

[0041] Figure 4 It is a flowchart of a method for constructing a model of a power battery provided in the second embodiment of the present invention. The technical solution of this embodiment is a further refinement based on the above embodiment. Optionally, the initial pressure value includes an initial linear pressure value. Correspondingly, obtaining the initial pressure value corresponding to the heat insulation buffer in the power battery includes: obtaining the first compression amount-pressure data corresponding to the heat insulation buffer in the power battery; based on the first compression amount-pressure data and a preset compression amount, determining the initial linear pressure value corresponding to the heat insulation buffer; Correspondingly, determining the initial simulation model of the power battery based on the preset model parameters of the power battery and the initial pressure value includes: determining the initial simulation model of the power battery based on the preset model parameters of the power battery, the initial linear pressure value, and a pressure coefficient.

[0042] Furthermore, the method further includes: determining the linear simulation parameter value of the power battery based on the initial simulation model; correcting the pressure coefficient based on the linear simulation parameter value and a linear test parameter value, and determining a target simulation model based on the initial linear pressure value, the corrected pressure coefficient, and the initial simulation model.

[0043] The specific implementation steps of this embodiment include:

[0044] S210. Obtain the first compression amount-pressure data corresponding to the heat insulation buffer in the power battery.

[0045] Among them, specifically, the first compression amount-pressure data is used to describe the mapping relationship between the compression amount of the heat insulation buffer and the pressure value. There is a positive correlation between the compression amount and the pressure value, that is, the larger the compression amount, the larger the pressure value. Exemplarily, when the compression amount is 8 mm, the pressure value is 9 N, and when the compression amount is 9 mm, the pressure value is 10 N. In this embodiment, the compression amount and the pressure value may have a linear relationship. Exemplarily, the first compression amount-pressure data is compression amount = pressure value + 1. Of course, the compression amount and the pressure value may not have a linear relationship, that is, the first compression amount-pressure data belongs to discrete data. The first compression amount-pressure data is not limited here.

[0046] S220. Determine the initial linear pressure value corresponding to the heat insulation buffer based on the first compression amount-pressure data and the preset compression amount.

[0047] Specifically, the preset compression amount can be a compression amount preset by the user, or a compression amount corresponding to a preset compression ratio of the thermal insulation buffer. The preset compression ratio is used to represent the ratio of the preset compression amount to the original thickness of the thermal insulation buffer. For example, the preset compression ratio can be 5%, 10%, or 20%. The preset compression amount and preset compression ratio are not limited here. In this embodiment, it is assumed that the preset compression amount is U0 and the initial linear pressure value is F0.

[0048] Based on this embodiment, optionally, after obtaining the first compression-pressure data corresponding to the thermal insulation buffer member in the power battery, the method further includes determining whether the simulation analysis type corresponding to the power battery is a linear simulation type. If so, determining an initial linear pressure value corresponding to the thermal insulation buffer member based on the first compression-pressure data and a preset compression. The simulation analysis type can be selected by the user or directly entered.

[0049] The advantage of this setting is that, based on the simulation analysis type input by the user, an initial simulation model that meets the user's simulation needs can be built in a targeted manner.

[0050] S230 : Determine an initial simulation model of the power battery based on preset model parameters, an initial linear pressure value, and a pressure coefficient of the power battery.

[0051] Specifically, determining the initial simulation model of the power battery based on the preset model parameters, initial linear pressure value, and pressure coefficient of the power battery includes: determining a first linear pressure value based on the initial linear pressure value and the pressure coefficient; determining the initial simulation model of the power battery based on the preset model parameters of the power battery and the first linear pressure value. Exemplarily, assuming the pressure coefficient is α, the first linear pressure value is α*F0. Specifically, the pressure value of the pressure applied to the surface of the battery cell in the initial simulation model is the first linear pressure value.

[0052] S240: Determine linear simulation parameter values of the power battery based on the initial simulation model.

[0053] In one embodiment, illustratively, a pressure of a first linear pressure value is applied to the surface of the battery cell and maintained constant to establish a static preload state, and a linear simulation is performed on the initial simulation model under the static preload state to determine a linear simulation parameter value of the power battery.

[0054] S250 , based on the linear simulation parameter value and the linear test parameter value, the pressure coefficient is corrected, and based on the initial linear pressure value, the corrected pressure coefficient and the initial simulation model, a target simulation model is determined.

[0055] Among them, specifically, the linear simulation parameters include, but are not limited to, modal analysis parameters, frequency response analysis parameters, and random vibration analysis parameters. Exemplarily, the modal analysis parameters include, but are not limited to, the frequency and vibration mode information of the power battery. The random vibration analysis parameters include, but are not limited to, the stress, deformation, and acceleration of components in the power battery. Among them, exemplarily, the components include at least one of a battery pack housing, a reinforcing beam, a module end side plate, and a power battery cell. Among them, modal analysis can be used to avoid the occurrence of resonance hazards, and random vibration analysis can be used to verify the performance of the power battery, thereby optimizing the design of the power battery.

[0056] Among them, specifically, the linear test parameters can be the test performance parameters of the power battery in the actual scenario, and the linear test parameters correspond to the linear simulation parameters.

[0057] In one embodiment, optionally, based on the linear simulation parameter value and the linear test parameter value, correcting the pressure coefficient includes: determining whether the error value between the linear simulation parameter value and the linear test parameter value is within a preset error range. If so, the pressure coefficient remains unchanged. If not, the pressure coefficient is adjusted. In this embodiment, the correction operation of the pressure coefficient includes at least one time until the error value between the linear simulation parameter value and the linear test parameter value is within the preset error range, then the correction operation of the pressure coefficient can be stopped to obtain the target simulation model. Among them, the corrected pressure coefficient used to construct the target simulation model is the corrected pressure coefficient corresponding to the last correction operation.

[0058] Among them, exemplarily, the preset error range can be [0, 5%], and the preset error range is not limited herein. Specifically, adjusting the pressure coefficient can be to adjust the pressure coefficient based on a preset adjustment direction and an adjustment step size. Among them, the preset adjustment direction can be to increase or decrease, and the adjustment step size can be 0.1, 0.2, or 0.01. The method of adjusting the pressure coefficient is not limited herein. In one embodiment, optionally, the pressure coefficient satisfies 0.5 ≤ α ≤ 1.5.

[0059] The technical solution of this embodiment makes the determined initial simulation model applicable to the simulation scenario of linear performance analysis by obtaining the initial linear pressure value corresponding to the heat insulation buffer member, improving the practicability of the initial simulation model. Further, this embodiment determines the target simulation model by correcting the pressure coefficient based on the test performance parameter value, solves the problem that the linear simulation result of the initial simulation model is inaccurate, reduces the difference between the simulation model of the power battery and the real power battery, and thus ensures to provide a reliable reference solution for the subsequent maintenance and optimization of the power battery.

[0060] Embodiment Three

[0061] Figure 5It is a flowchart of a method for constructing a model of a power battery provided in Embodiment 3 of the present invention. The technical solution of this embodiment is a further refinement based on the above embodiments. Optionally, the initial pressure value includes an initial non-linear pressure value. Correspondingly, the step of obtaining the initial pressure value corresponding to the heat insulation buffer in the power battery includes: obtaining the second compression amount-pressure data corresponding to the heat insulation buffer in the power battery; based on the second compression amount-pressure data, a preset compression amount, and a compression amount coefficient, determining the initial non-linear pressure value corresponding to the heat insulation buffer.

[0062] Furthermore, the method further includes: based on the initial simulation model, determining the non-linear simulation parameter value of the power battery; based on the non-linear simulation parameter value and the non-linear test parameter value, correcting the compression amount coefficient, and based on the second compression amount-pressure data, the preset compression amount, and the corrected compression amount coefficient, determining the corrected initial non-linear pressure value; based on the corrected initial non-linear pressure value and the initial simulation model, determining the target simulation model.

[0063] The specific implementation steps of this embodiment include:

[0064] S310. Obtain the second compression amount-pressure data corresponding to the heat insulation buffer in the power battery.

[0065] Specifically, the second compression amount-pressure data is used to describe the mapping relationship between the compression amount of the heat insulation buffer and the pressure value. There is a positive correlation between the compression amount and the pressure value, that is, the larger the compression amount, the larger the pressure value.

[0066] In one embodiment, optionally, obtaining the second compression amount-pressure data corresponding to the heat insulation buffer in the power battery includes: obtaining the first compression amount-pressure data corresponding to the heat insulation buffer in the power battery; based on the preset compression amount and the first compression amount-pressure data, determining the fitting data, and performing non-linear fitting based on the fitting data to determine the second compression amount-pressure data.

[0067] In this embodiment, the first compression-pressure data is discrete data. Specifically, assuming a preset compression value of U0, the fitted data may be first compression-pressure data within the preset compression range. For example, the preset compression range may be U0±U*P, where U represents the original thickness of the thermal insulation buffer and P represents the preset compression margin. For example, the preset compression margin may be 5%, 10%, or 20%, though the preset compression margin is not limited here. For example, assuming a preset compression margin of 10%, the fitted data may be first compression-pressure data within the range of [U0-U*10%, U0+U*10%]. For example, the fitted data may include, but is not limited to, (U0-U*10%, F1), (U0, F0), and (U0+U*10%, F2). F1, F0, and F2 are the pressure values corresponding to the first compression-pressure data and the compression values of U0-U*10%, U0, and U0+U*10%, respectively.

[0068] Exemplarily, the nonlinear fitting function includes but is not limited to a least squares fitting function, a double exponential function, a polynomial fitting function, a logarithmic function, a power function, etc. The type of the nonlinear fitting function is not limited here.

[0069] The advantage of this arrangement is that when the compression coefficient is corrected in the subsequent steps, it can be ensured that the second compression-pressure data contains a pressure value corresponding to the corrected first compression. The first compression will be explained in the subsequent steps.

[0070] Based on the above embodiment, optionally, after obtaining the first compression-pressure data corresponding to the thermal insulation buffer in the power battery, the method further includes: determining whether the simulation analysis type corresponding to the power battery is a linear simulation type; if not, determining fitting data based on the preset compression and the first compression-pressure data, and performing nonlinear fitting based on the fitting data to determine second compression-pressure data. The simulation analysis type can be selected by the user or directly entered.

[0071] The advantage of this setting is that, based on the simulation analysis type input by the user, an initial simulation model that meets the user's simulation needs can be built in a targeted manner.

[0072] S320. Determine an initial nonlinear pressure value corresponding to the thermal insulation buffer based on the second compression amount-pressure data, the preset compression amount, and the compression amount coefficient.

[0073] Specifically, the preset compression amount may be a compression amount preset by a user, and the preset compression amount is not limited here.

[0074] Specifically, based on the second compression amount-pressure data, the preset compression amount, and the compression amount coefficient, determining the initial non-linear pressure value corresponding to the thermal insulation buffer member includes: determining the first compression amount based on the preset compression amount and the compression amount coefficient, and determining the initial non-linear pressure value corresponding to the thermal insulation buffer member based on the second compression amount-pressure data and the first compression amount. Exemplarily, assuming the compression amount coefficient is β, the first compression amount is β*U0.

[0075] S330. Determine the initial simulation model of the power battery based on the preset model parameters and the initial non-linear pressure value of the power battery.

[0076] S340. Determine the non-linear simulation parameter values of the power battery based on the initial simulation model. [[ID=I]]

[0077] In one embodiment, optionally, determining the non-linear simulation parameter values of the power battery based on the initial simulation model includes: obtaining the preload state corresponding to the initial non-linear pressure value; where the preload state includes a static preload state or a dynamic preload state, and the dynamic preload state is used to represent applying the initial non-linear pressure value to the surface of the single battery cell corresponding to the thermal insulation buffer member in the initial simulation model based on a preset loading time; determining the non-linear simulation parameter values of the power battery based on the preload state and the initial simulation model.

[0078] Specifically, the static preload state is used to represent that the initial non-linear pressure value is directly applied to the surface of the single battery cell and remains unchanged. Exemplarily, the preset loading time can be 1 / 3 of the simulation time of the initial simulation model. For example, if the simulation time of the initial simulation model is 9 seconds, the preset loading time is 3 seconds. The specific setting rule for the preset loading time is not limited here. Specifically, during the simulation process of the initial simulation model, the initial non-linear pressure value is applied to the surface of the single battery cell corresponding to the thermal insulation buffer member in the initial simulation model based on the preset loading time, and then remains unchanged.

[0079] Specifically, the non-linear simulation parameters include but are not limited to impact analysis parameters. Exemplarily, the impact analysis parameters include the instantaneous response of the power battery, the stress and deformation responses of the power battery, etc. Impact analysis can be used to check the optimized design of the power battery.

[0080] [[ID=I8]]S350. Correct the compression amount coefficient based on the non-linear simulation parameter values and the non-linear test parameter values, and determine the corrected initial non-linear pressure value based on the second compression amount-pressure data, the preset compression amount, and the corrected compression amount coefficient.

[0081] Specifically, based on the non-linear simulation parameter values and non-linear test parameter values, the compression coefficient is corrected, including: determining whether the error value between the non-linear simulation parameter values and the non-linear test parameter values is within a preset error range. If so, the compression coefficient remains unchanged; if not, the compression coefficient is adjusted. In this embodiment, the correction operation of the compression coefficient includes at least one time until the error value between the non-linear simulation parameter values and the non-linear test parameter values is within the preset error range, then the correction operation of the compression coefficient can be stopped to obtain the target simulation model. Among them, the corrected compression coefficient used to construct the target simulation model is the corrected compression coefficient corresponding to the last correction operation.

[0082] Exemplarily, the preset error range can be [0, 5%], and the preset error range is not limited here. Specifically, adjusting the compression coefficient can be based on a preset adjustment direction and adjustment step size to adjust the compression coefficient. Among them, the preset adjustment direction can be to increase or decrease, and the adjustment step size can be 0.1, 0.2 or 0.01. The method of adjusting the compression coefficient is not limited here. In one embodiment, optionally, the pressure coefficient satisfies 0.9 ≤ β ≤ 1.1.

[0083] S360. Determine the target simulation model based on the corrected initial non-linear pressure value and the initial simulation model.

[0084] Figure 6 It is a specific example flowchart of a method for constructing a model of a power battery provided in Embodiment 3 of the present invention. Specifically, obtain the first compression amount-pressure data corresponding to the heat insulation buffer in the power battery, and determine whether the simulation analysis type input by the user is a linear analysis. If so, determine the first linear pressure value based on the first compression amount-pressure data and the preset compression amount, and determine the initial simulation model based on the first pressure value, the pressure coefficient and the preset model parameters. Perform a linear dynamic simulation analysis on the initial simulation model to obtain the non-linear simulation parameter values. Conduct a physical test on the power battery to obtain the non-linear test parameter values, and determine whether the error range between the non-linear simulation parameter values and the non-linear test parameter values meets the preset error range. If so, the initial simulation model is the target simulation model, indicating that the modeling is completed. If not, correct the pressure coefficient in the linear analysis step, and continue to execute the above steps based on the corrected pressure coefficient.

[0085] If the simulation analysis model is a non-linear analysis, the fitting data is determined based on a preset compression amount and first compression amount-pressure data, and non-linear fitting is performed on the fitting data to obtain second compression amount-pressure data. The first compression amount is determined based on the preset compression amount and the compression amount coefficient. Based on the second compression amount-pressure data, the first compression amount, and the preset model parameters, the initial simulation model is underestimated. Non-linear dynamic simulation analysis is performed on the initial simulation model to obtain non-linear simulation parameter values. Physical tests are conducted on the power battery to obtain non-linear test parameter values, and it is determined whether the error range between the non-linear simulation parameter values and the non-linear test parameter values meets the preset error range. If so, the initial simulation model is the target simulation model, indicating that the modeling is completed. If not, the compression amount coefficient in the non-linear analysis step is corrected, and the above steps are continued based on the corrected pressure coefficient.

[0086] The technical solution of this embodiment makes the determined initial simulation model applicable to the simulation scenario of non-linear performance analysis by obtaining the initial non-linear pressure value corresponding to the heat insulation buffer member, improving the practicability of the initial simulation model. Further, this embodiment determines the target simulation model by correcting the compression amount coefficient based on the test performance parameter values, solves the problem that the linear simulation result of the initial simulation model is inaccurate, reduces the difference between the simulation model of the power battery and the real power battery, and thus ensures the provision of a reliable reference solution for the subsequent maintenance and optimization of the power battery.

[0087] Embodiment 4

[0088] Figure 7 FIG. 10 is a schematic diagram of a model construction device for a power battery provided in Embodiment 4 of the present invention. This embodiment is applicable to the situation of constructing a simulation model of a power battery. The device can be implemented in software and / or hardware, and the device can be configured in a terminal device. The model construction device for the power battery includes: an initial pressure value acquisition module 410 and an initial simulation model determination module 420.

[0089] Among them, the initial pressure value acquisition module 410 is used to acquire the initial pressure value corresponding to the heat insulation buffer member in the power battery;

[0090] The initial simulation model determination module 420 is used to determine the initial simulation model of the power battery based on the preset model parameters and the initial pressure value of the power battery. Among them, the initial simulation model does not include the heat insulation buffer member, and a pressure corresponding to the initial pressure value is applied to the surface of the battery cell monomer corresponding to the heat insulation buffer member in the initial simulation model.

[0091] The technical solution of this embodiment constructs an initial simulation model by using pressure instead of the heat insulation buffer between the battery cells, enabling the simulation process of the power battery to consider the influence of the compression and rebound force brought by the heat insulation buffer between the battery cells, thereby improving the practicability of the simulation model of the power battery, and further improving the accuracy of the simulation results of the power battery, providing a reference solution for the subsequent maintenance and optimization of the power battery.

[0092] Based on the above technical solution, optionally, the initial pressure value includes an initial linear pressure value, and the initial pressure value acquisition module 410 includes:

[0093] The first initial pressure value acquisition unit is used to acquire the first compression amount-pressure data corresponding to the heat insulation buffer in the power battery; based on the first compression amount-pressure data and the preset compression amount, determine the initial linear pressure value corresponding to the heat insulation buffer;

[0094] The initial simulation model determination module 420 is specifically used to: based on the preset model parameters, initial linear pressure value and pressure coefficient of the power battery, determine the initial simulation model of the power battery.

[0095] Based on the above technical solution, optionally, the device further includes a first target simulation model determination module, and the first target simulation model determination module is used to:

[0096] Based on the initial simulation model, determine the linear simulation parameter value of the power battery;

[0097] Based on the linear simulation parameter value and the linear test parameter value, correct the pressure coefficient, and based on the initial linear pressure value, the corrected pressure coefficient and the initial simulation model, determine the target simulation model.

[0098] Based on the above technical solution, optionally, the initial pressure value includes an initial non-linear pressure value, and the initial pressure value acquisition module 410 includes:

[0099] The first initial pressure value acquisition unit is used to acquire the second compression amount-pressure data corresponding to the heat insulation buffer in the power battery; based on the second compression amount-pressure data, the preset compression amount and the compression amount coefficient, determine the initial non-linear pressure value corresponding to the heat insulation buffer.

[0100] Based on the above technical solution, optionally, the device further includes a second target simulation model determination module, and the second target simulation model determination module includes:

[0101] The non-linear simulation parameter value determination unit is used to determine the non-linear simulation parameter value of the power battery based on the initial simulation model;

[0102] An initial non-linear pressure value correction unit for correcting the compression coefficient based on the non-linear simulation parameter value and the non-linear test parameter value, and determining the corrected initial non-linear pressure value based on the second compression amount-pressure data, the preset compression amount, and the corrected compression coefficient;

[0103] A target simulation model determination unit for determining a target simulation model based on the corrected initial non-linear pressure value and the initial simulation model.

[0104] Based on the above technical solution, optionally, the non-linear simulation parameter value determination unit is specifically configured to:

[0105] Obtain a preload state corresponding to the initial non-linear pressure value; wherein, the preload state includes a static preload state or a dynamic preload state, and the dynamic preload state is used to represent applying the initial non-linear pressure value to the surface of the battery cell corresponding to the heat insulation buffer member in the initial simulation model based on a preset loading time;

[0106] Determine the non-linear simulation parameter value of the power battery based on the preload state and the initial simulation model.

[0107] Based on the above technical solution, optionally, the first initial pressure value acquisition unit is specifically configured to:

[0108] Obtain the first compression amount-pressure data corresponding to the heat insulation buffer member in the power battery;

[0109] Determine fitting data based on the preset compression amount and the first compression amount-pressure data, and perform non-linear fitting on the fitting data to determine the second compression amount-pressure data.

[0110] The power battery model construction device provided by the embodiments of the present invention can be used to execute the power battery model construction method provided by the embodiments of the present invention, and has the corresponding functions and beneficial effects of executing the method.

[0111] It should be noted that in the embodiments of the above-mentioned power battery model construction device, the included units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for easy mutual distinction and do not limit the protection scope of the present invention.

[0112] Embodiment Five

[0113] Figure 8 It is a schematic structural diagram of an electronic device provided by Embodiment Five of the present invention. The embodiments of the present invention provide services for implementing the power battery model construction method of the above embodiments of the present invention, and the power battery model construction device in the above embodiments can be configured. Figure 8A block diagram of an exemplary electronic device 12 suitable for implementing embodiments of the present invention is shown. Figure 8 The electronic device 12 shown is merely an example and should not impose any limitation on the functions and scope of use of the embodiments of the present invention.

[0114] As Figure 8 shown, the electronic device 12 is presented in the form of a general-purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that connects different system components (including the system memory 28 and the processing unit 16).

[0115] The bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus structures. By way of example, these architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

[0116] The electronic device 12 typically includes a variety of computer system-readable media. These media can be any available media that can be accessed by the electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0117] The system memory 28 may include computer system-readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, a storage system 34 can be used for reading and writing on non-removable, non-volatile magnetic media ( Figure 8 not shown, commonly referred to as a "hard disk drive"). Although Figure 8 not shown in the figure, a disk drive for reading and writing on a removable non-volatile disk (such as a "floppy disk") and an optical disk drive for reading and writing on a removable non-volatile optical disk (such as a CD-ROM, DVD-ROM, or other optical media) can be provided. In these cases, each drive can be connected to the bus 18 through one or more data media interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0118] A program / utilities 40 having a set (at least one) of program modules 42 can be stored, for example, in a memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules 42 generally execute the functions and / or methods in the embodiments described in the present invention.

[0119] The electronic device 12 can also communicate with one or more external devices 14 (such as a keyboard, a pointing device, a display 24, etc.), and can also communicate with one or more devices that enable a user to interact with the electronic device 12, and / or communicate with any device (such as a network card, a modem, etc.) that enables the electronic device 12 to communicate with one or more other computing devices. Such communication can be carried out through an input / output (I / O) interface 22. Moreover, the electronic device 12 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 20. As Figure 8 shown, the network adapter 20 communicates with other modules of the electronic device 12 through a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in combination with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0120] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the method for constructing a model of a power battery provided in the embodiments of the present invention.

[0121] Through the above-mentioned electronic device, the simulation process of the power battery takes into account the influence of the compression and rebound force brought by the heat insulation buffer between the single battery cells, thereby improving the practicability of the simulation model of the power battery, and further improving the accuracy of the simulation results of the power battery, providing a reference solution for the subsequent maintenance and optimization of the power battery.

[0122] Embodiment Five

[0123] Embodiment Five of the present invention also provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute a method for constructing a model of a power battery when executed by a computer processor. The method includes:

[0124] Obtain an initial pressure value corresponding to the heat insulation buffer in the power battery;

[0125] Based on the preset model parameters and the initial pressure value of the power battery, determine the initial simulation model of the power battery; wherein, the initial simulation model does not include the heat insulation buffer, and a pressure corresponding to the initial pressure value is applied to the surface of the battery cell monomer corresponding to the heat insulation buffer in the initial simulation model.

[0126] The computer storage medium of the embodiments of the present invention may adopt any combination of one or more computer-readable media. The computer-readable media may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0127] The computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries the computer-readable program code. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0128] The program code contained on the computer-readable medium may be transmitted by any suitable medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0129] Computer program code for performing the operations of the present invention can be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network including a local area network (LAN) or a wide area network (WAN), or, can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0130] Of course, the computer-executable instructions of a storage medium provided by an embodiment of the present invention are not limited to the above method operations, and can also execute related operations in the model construction method of the power battery provided by any embodiment of the present invention.

[0131] Note that the above is only the preferred embodiment of the present invention and the applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, re-adjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments. Without departing from the concept of the present invention, more other equivalent embodiments can be included, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for constructing a model of a power battery, characterized in that Including: Obtaining an initial pressure value corresponding to a heat insulation and buffer member in a power battery; Determining an initial simulation model of the power battery based on preset model parameters of the power battery and the initial pressure value; wherein, the initial simulation model does not include the heat insulation and buffer member, and a pressure corresponding to the initial pressure value is applied to the surface of the battery cell monomer corresponding to the heat insulation and buffer member in the initial simulation model; The initial pressure value includes an initial linear pressure value. Correspondingly, the obtaining of the initial pressure value corresponding to the heat insulation and buffer member in the power battery includes: Obtaining first compression amount-pressure data corresponding to the heat insulation and buffer member in the power battery; Determining an initial linear pressure value corresponding to the heat insulation and buffer member based on the first compression amount-pressure data and a preset compression amount; Correspondingly, the determining of the initial simulation model of the power battery based on the preset model parameters of the power battery and the initial pressure value includes: Determining an initial simulation model of the power battery based on the preset model parameters of the power battery, the initial linear pressure value, and a pressure coefficient.

2. The method according to claim 1, characterized in that The method further includes: Determining a linear simulation parameter value of the power battery based on the initial simulation model; Correcting the pressure coefficient based on the linear simulation parameter value and a linear test parameter value, and determining a target simulation model based on the initial linear pressure value, the corrected pressure coefficient, and the initial simulation model.

3. The method according to claim 1, characterized in that, The initial pressure value includes an initial non-linear pressure value. Correspondingly, the obtaining of the initial pressure value corresponding to the heat insulation and buffer member in the power battery includes: Obtaining second compression amount-pressure data corresponding to the heat insulation and buffer member in the power battery; Determining an initial non-linear pressure value corresponding to the heat insulation and buffer member based on the second compression amount-pressure data, a preset compression amount, and a compression amount coefficient.

4. The method according to claim 3, characterized in that, The method further includes: Determining a non-linear simulation parameter value of the power battery based on the initial simulation model; Correcting the compression amount coefficient based on the non-linear simulation parameter value and a non-linear test parameter value, and determining a corrected initial non-linear pressure value based on the second compression amount-pressure data, the preset compression amount, and the corrected compression amount coefficient; Determining a target simulation model based on the corrected initial non-linear pressure value and the initial simulation model.

5. The method according to claim 4, wherein The determining of the non-linear simulation parameter value of the power battery based on the initial simulation model includes: Obtaining a preloading state corresponding to the initial non-linear pressure value; wherein, the preloading state includes a static preloading state or a dynamic preloading state, and the dynamic preloading state is used to represent that the initial non-linear pressure value is applied to the surface of the battery cell monomer corresponding to the heat insulation and buffer member in the initial simulation model based on a preset loading time; Determining the non-linear simulation parameter value of the power battery based on the preloading state and the initial simulation model.

6. The method according to claim 3, wherein The obtaining of the second compression amount-pressure data corresponding to the heat insulation and buffer member in the power battery includes: Determining fitting data based on a preset compression amount and the first compression amount-pressure data, and performing non-linear fitting on the fitting data to determine the second compression amount-pressure data.

7. A model building device for a power battery, characterized in that, Including: An initial pressure value acquisition module, configured to acquire an initial pressure value corresponding to a heat insulation and buffer member in a power battery; An initial simulation model determination module, configured to determine an initial simulation model of the power battery based on preset model parameters of the power battery and the initial pressure value; wherein, the initial simulation model does not include the heat insulation and buffer member, and a pressure corresponding to the initial pressure value is applied to the surface of the battery cell monomer corresponding to the heat insulation and buffer member in the initial simulation model; The initial pressure value includes an initial linear pressure value. Correspondingly, the acquiring of the initial pressure value corresponding to the heat insulation and buffer member in the power battery includes: Acquiring first compression amount-pressure data corresponding to the heat insulation and buffer member in the power battery; Determining an initial linear pressure value corresponding to the heat insulation and buffer member based on the first compression amount-pressure data and a preset compression amount; Correspondingly, the determining of the initial simulation model of the power battery based on the preset model parameters of the power battery and the initial pressure value includes: Determining an initial simulation model of the power battery based on the preset model parameters of the power battery, the initial linear pressure value, and a pressure coefficient.

8. An electronic device, characterized in that, The electronic device includes: One or more processors; A memory, configured to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for constructing a model of the power battery according to any one of claims 1-6.

9. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to execute the method for constructing a model of the power battery according to any one of claims 1-6.

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