A power battery simulation model construction method and device and electronic equipment

Abstract

The application provides a power battery simulation model construction method and device and electronic equipment, the method comprises the following steps: obtaining original physical information of a to-be-tested power battery; determining a corresponding thickness increase ratio according to thickness information and length information of each component material; increasing the simulation thickness of each component material according to the thickness increase ratio to obtain target physical information of the to-be-tested power battery; for any component material, adjusting the stress-strain curve of the component material according to the thickness increase ratio of the component material to obtain a corresponding target stress-strain curve; and constructing a simulation model of the to-be-tested power battery according to the target physical information and the target stress-strain curve of each component material. The simulation thickness of the component material is increased, and the stress-strain curve of the component material is adaptively adjusted, so that the constructed simulation model is equivalent to the original refined simulation model, the number of model simulation units is reduced, and the calculation efficiency of the simulation model is improved.

Description

Technical Field

[0001] This application relates to the field of digital simulation technology, and in particular to a method, apparatus and electronic device for constructing a power battery simulation model. Background Technology

[0002] With the large-scale application of electric vehicles, the safety of on-board power batteries has received widespread attention. The application environment of electric vehicles means that mechanical load is one of the main inducing factors for safety risks in power batteries; therefore, how to conduct safety simulation tests on power batteries has become a key research area.

[0003] In existing technologies, a refined model of the power battery is typically constructed, and simulation tests are performed on this refined model to determine the simulation results. The refined model includes the properties and true geometric parameters of all battery component materials, reflecting the actual stress conditions of each component material within the battery, and also allows for multiphysics analysis.

[0004] However, for the various components of the battery, their length and width dimensions are on the order of centimeters, while their thickness dimensions are on the order of micrometers, exhibiting significant cross-scale characteristics in three dimensions. To ensure a suitable aspect ratio for each cell, the cell size needs to be defined based on the thickness dimension when establishing a refined model of the power battery. This results in a huge number of model cells, reducing the computational efficiency of the simulation model. Summary of the Invention

[0005] This application provides a method, apparatus, and electronic device for constructing a power battery simulation model, in order to solve the shortcomings of existing technologies, such as the large number of model units, which reduces the computational efficiency of the simulation model.

[0006] The first aspect of this application provides a method for constructing a power battery simulation model, including:

[0007] Obtain the raw physical information of the power battery under test;

[0008] Based on the thickness and length information of each component material characterized by the original physical information, the thickness increase ratio of each component material is determined.

[0009] The simulated thickness of each component material is increased accordingly according to the thickness increase ratio to obtain the target physical information of the power battery under test.

[0010] For any of the aforementioned component materials, the stress-strain curve of the component material is adjusted according to the increase ratio of the thickness of the component material to obtain the corresponding target stress-strain curve;

[0011] A simulation model of the power battery under test is constructed based on the target physical information of the battery under test and the target stress-strain curves of each component material.

[0012] Optionally, determining the thickness increase ratio of each component material based on the thickness and length information of each component material characterized by the original physical information includes:

[0013] Based on the thickness and length information of each component material characterized by the original physical information, the order of magnitude of the thickness and length of each component material is determined.

[0014] The thickness increase ratio of each component material is determined based on the difference between the order of magnitude of its thickness and the order of magnitude of its length.

[0015] Optionally, the step of increasing the simulated thickness of each component material according to the thickness increase ratio to obtain the target physical information of the power battery under test includes:

[0016] The simulated thickness of each component material is increased accordingly according to the thickness increase ratio to obtain the target simulated thickness of each component material.

[0017] The simulated thickness of each component material in the original physical information of the power battery under test is replaced with the target simulated thickness of each component material to obtain the target physical information of the power battery under test.

[0018] Optionally, the step of constructing a simulation model of the power battery under test based on the target physical information of the power battery under test and the target stress-strain curves corresponding to each of the component materials includes:

[0019] Based on the target simulation thickness of each component material characterized by the target physical information of the power battery under test, the simulation unit division size of each component material is determined.

[0020] According to the simulation unit division size of each component material, the simulation unit is divided for each component material to obtain the simulation unit division result corresponding to each component material;

[0021] Based on the target physical information of the power battery under test, the simulation unit division results corresponding to each component material, and the target stress-strain curve, a simulation model of the power battery under test is constructed.

[0022] Optionally, adjusting the stress-strain curve of the component material according to the increase in thickness of the component material to obtain the corresponding target stress-strain curve includes:

[0023] Based on the increase in thickness of the component material, determine the proportional reduction factor of the strain value in the stress-strain curve of the component material;

[0024] Based on the proportional reduction factor of the strain value in the stress-strain curve of the component material, the stress-strain curve of the component material is adjusted to obtain the corresponding target stress-strain curve.

[0025] Optional, also includes:

[0026] Obtain the simulation test request of the power battery under test;

[0027] According to the simulation test request, the corresponding simulation test command is input to the simulation model of the power battery under test to obtain the simulation test result output by the simulation model.

[0028] Optionally, the simulation test request includes at least a simulation test type;

[0029] The simulation test types include at least one of needle puncture simulation, compression simulation, and drop simulation.

[0030] The second aspect of this application provides a power battery simulation model construction device, comprising:

[0031] The acquisition module is used to acquire the raw physical information of the power battery under test;

[0032] The determination module is used to determine the thickness increase ratio of each component material based on the thickness and length information of each component material characterized by the original physical information;

[0033] The thickness increase module is used to increase the simulated thickness of each component material according to the thickness increase ratio, so as to obtain the target physical information of the power battery under test.

[0034] The adjustment module is used to adjust the stress-strain curve of any of the component materials according to the increase ratio of the thickness of the component material, so as to obtain the corresponding target stress-strain curve.

[0035] The construction module is used to construct a simulation model of the power battery under test based on the target physical information of the power battery under test and the target stress-strain curves corresponding to each of the component materials.

[0036] Optionally, the determining module is specifically used for:

[0037] Based on the thickness and length information of each component material characterized by the original physical information, the order of magnitude of the thickness and length of each component material is determined.

[0038] The thickness increase ratio of each component material is determined based on the difference between the order of magnitude of its thickness and the order of magnitude of its length.

[0039] Optionally, the thickness increasing module is specifically used for:

[0040] The simulated thickness of each component material is increased accordingly according to the thickness increase ratio to obtain the target simulated thickness of each component material.

[0041] The simulated thickness of each component material in the original physical information of the power battery under test is replaced with the target simulated thickness of each component material to obtain the target physical information of the power battery under test.

[0042] Optionally, the building module is specifically used for:

[0043] Based on the target simulation thickness of each component material characterized by the target physical information of the power battery under test, the simulation unit division size of each component material is determined.

[0044] According to the simulation unit division size of each component material, the simulation unit is divided for each component material to obtain the simulation unit division result corresponding to each component material;

[0045] Based on the target physical information of the power battery under test, the simulation unit division results corresponding to each component material, and the target stress-strain curve, a simulation model of the power battery under test is constructed.

[0046] Optionally, the adjustment module is specifically used for:

[0047] Based on the increase in thickness of the component material, determine the proportional reduction factor of the strain value in the stress-strain curve of the component material;

[0048] Based on the proportional reduction factor of the strain value in the stress-strain curve of the component material, the stress-strain curve of the component material is adjusted to obtain the corresponding target stress-strain curve.

[0049] Optionally, the device further includes:

[0050] The simulation module is used to obtain the simulation test request of the power battery under test; according to the simulation test request, it inputs the corresponding simulation test instructions to the simulation model of the power battery under test to obtain the simulation test results output by the simulation model.

[0051] Optionally, the simulation test request includes at least a simulation test type;

[0052] The simulation test types include at least one of needle puncture simulation, compression simulation, and drop simulation.

[0053] A third aspect of this application provides an electronic device, comprising: at least one processor and a memory;

[0054] The memory stores computer-executed instructions;

[0055] The at least one processor executes computer execution instructions stored in the memory, causing the at least one processor to perform the method described in the first aspect above and various possible designs of the first aspect.

[0056] The fourth aspect of this application provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the method described in the first aspect above and various possible designs of the first aspect.

[0057] The technical solution of this application has the following advantages:

[0058] This application provides a method, apparatus, and electronic device for constructing a power battery simulation model. The method includes: acquiring the original physical information of the power battery under test; determining the thickness increase ratio of each component material based on the thickness and length information of each component material characterized by the original physical information; increasing the simulated thickness of each component material according to the thickness increase ratio to obtain the target physical information of the power battery under test; adjusting the stress-strain curve of any component material according to the thickness increase ratio to obtain the corresponding target stress-strain curve; and constructing a simulation model of the power battery under test based on the target physical information of the power battery under test and the target stress-strain curves of each component material. The method provided above, by increasing the simulated thickness of the component materials and adaptively adjusting their stress-strain curves, enables the constructed simulation model of the power battery under test to be equivalent to the original refined simulation model while reducing the number of simulation units and improving the computational efficiency of the simulation model. Attached Figure Description

[0059] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings.

[0060] Figure 1 This is a schematic diagram of the structure of the power battery simulation model construction system on which the embodiments of this application are based;

[0061] Figure 2 A flowchart illustrating the method for constructing a power battery simulation model provided in this application embodiment;

[0062] Figure 3 A schematic diagram of the structure of the component materials in the original refined simulation model provided for the embodiments of this application;

[0063] Figure 4 This is a schematic diagram of the structure of the component materials in the simulation model provided in the embodiments of this application;

[0064] Figure 5 This is a schematic diagram of the structure of the power battery simulation model construction device provided in the embodiments of this application;

[0065] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0066] The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the present disclosure in any way, but rather to illustrate the concepts of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0067] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0068] Furthermore, the terms "first," "second," etc., 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. In the following descriptions of embodiments, "a plurality of" means two or more, unless otherwise explicitly defined.

[0069] Lithium-ion power batteries are typical multi-layered structures, including main components such as the positive electrode, negative electrode, separator, and casing. Currently, there are three main methods for simulation modeling of power batteries:

[0070] 1) Homogenization Model: The homogenization model ignores the multi-layered material structure inside the battery, treating it as a homogeneous material and selecting an appropriate material constitutive model for characterization. The homogenization model is computationally efficient and performs well in simulating simple conditions such as out-of-plane extrusion. However, its accuracy decreases significantly in complex loading conditions such as three-point bending. Furthermore, the homogenization model cannot account for relative slippage and delamination failures between the internal components of the battery.

[0071] 2) Representative volumetric unit model: This model replaces each layer of component material inside the battery with a few layers of the smallest structural unit that represents the structure and function of the battery cell. This smallest structural unit includes one positive electrode, one negative electrode, and two separator layers. In essence, the smallest structural unit serves as the representative volumetric unit, and the multi-layered component material structure inside the battery is replaced by multiple layers of representative volumetric units. The representative volumetric unit model can accurately simulate buckling and compaction processes under in-plane compressive loads, and can consider relative slippage and delamination failure between component materials inside the battery. While the representative volumetric unit model reduces the number of units to some extent, its application is limited by the definition of periodic boundary conditions. For more complex loading conditions, the simulated internal stress state is not uniform, and it cannot effectively characterize the mechanical behavior of the entire battery structure.

[0072] 3) Refined Model: The refined model includes the actual geometric parameters of the properties and structure of all battery components. It can reflect the actual stress conditions of each component inside the battery and can also perform multiphysics analysis. It is a model that can evaluate the mechanical safety performance of the battery in detail.

[0073] However, for the various components of the battery, their length and width dimensions are on the order of centimeters, while their thickness dimensions are on the order of micrometers, exhibiting significant cross-scale characteristics in three dimensions. To ensure a suitable aspect ratio for each cell, the cell size needs to be defined based on the thickness dimension when establishing a refined model of the power battery. This results in a huge number of model cells, reducing the computational efficiency of the simulation model.

[0074] To address the aforementioned issues, the power battery simulation model construction method, apparatus, and electronic equipment provided in this application acquire the original physical information of the power battery under test; determine the thickness increase ratio for each component material based on the thickness and length information of each component material characterized by the original physical information; increase the simulated thickness of each component material accordingly according to the thickness increase ratio to obtain the target physical information of the power battery under test; for any component material, adjust its stress-strain curve according to the thickness increase ratio to obtain the corresponding target stress-strain curve; and construct a simulation model of the power battery under test based on the target physical information of the power battery under test and the target stress-strain curves of each component material. The method provided above, by increasing the simulated thickness of the component materials and adaptively adjusting their stress-strain curves, ensures that the constructed simulation model of the power battery under test is equivalent to the original refined simulation model while reducing the number of simulation units and improving the computational efficiency of the simulation model.

[0075] The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0076] First, the structure of the power battery simulation model construction system on which this application is based will be described:

[0077] The power battery simulation model construction method, apparatus, and electronic equipment provided in this application are applicable to performing simulation modeling on power batteries awaiting delivery, in order to obtain power battery simulation models for simulation testing. Figure 1 The diagram shows the structure of a power battery simulation model building system based on an embodiment of this application. It mainly includes a power battery under test, a data acquisition device, and a power battery simulation model building device for building a simulation model of the power battery under test. Specifically, the data acquisition device can collect the raw physical information of the power battery under test and send the obtained raw physical information to the power battery simulation model building device. The device then builds a simulation model of the power battery under test based on the obtained information.

[0078] This application provides a method for constructing a power battery simulation model, used to simulate and model a power battery to be shipped, in order to obtain a power battery simulation model for simulation testing. The execution subject of this application embodiment is an electronic device, such as a server, desktop computer, laptop computer, tablet computer, and other electronic devices that can be used to simulate and model power batteries.

[0079] like Figure 2 The diagram shown is a flowchart illustrating the method for constructing a power battery simulation model according to an embodiment of this application. The method includes:

[0080] Step 201: Obtain the original physical information of the power battery under test.

[0081] The original physical information includes at least the physical dimensions of each component material of the power battery under test, the layering relationship between each component material, and the material characteristics of each component material. The component materials of the power battery include the positive electrode, negative electrode, separator, and outer casing, etc.

[0082] Step 202: Based on the thickness and length information of each component material as characterized by the original physical information, determine the corresponding thickness increase ratio of each component material.

[0083] It should be noted that the physical dimensional information of each component material includes its thickness, width, and length.

[0084] Specifically, for any given component material, the increase in thickness can be determined based on the length-to-thickness ratio represented by its thickness and length information. Since the dimensional difference between the width and length of a component material is relatively small, the increase in thickness can also be determined based on the width-to-thickness ratio represented by its thickness and width information.

[0085] Step 203: Increase the simulated thickness of each component material according to the thickness increase ratio to obtain the target physical information of the power battery under test.

[0086] Specifically, for any given component material, the simulated thickness can be increased by a corresponding multiple based on the thickness increase ratio of that component material, and the thickness information of that component material can be updated. After updating the thickness information of all component materials of the power battery under test, the target physical information of the power battery under test is obtained.

[0087] Specifically, in one embodiment, the simulated thickness of each component material can be increased accordingly according to the thickness increase ratio to obtain the target simulated thickness of each component material; the simulated thickness of each component material in the original physical information of the power battery under test is replaced with the target simulated thickness of each component material to obtain the target physical information of the power battery under test.

[0088] The target simulation thickness is the updated thickness information.

[0089] Step 204: For any component material, adjust the stress-strain curve of the component material according to the increase ratio of the thickness of the component material to obtain the corresponding target stress-strain curve.

[0090] Specifically, since the mechanical behavior of a material is determined by its stress-strain curve, in order to avoid affecting the simulation results of the power battery simulation model due to increasing the thickness of the component materials, the stress-strain curves of each component material can be adaptively adjusted according to the increase ratio of the thickness of each component material to obtain the corresponding target stress-strain curve.

[0091] Step 205: Based on the target physical information of the power battery under test and the target stress-strain curves of each component material, construct a simulation model of the power battery under test.

[0092] It should be noted that, since the power battery simulation model construction method provided in this application embodiment increases the thickness of each component material while adaptively adjusting the stress-strain curve of each component material, the simulation model obtained in this application embodiment has the same mechanical behavior as the original refined model built using the actual thickness of the component materials characterized by the original physical information.

[0093] Specifically, in one embodiment, the simulation unit division size of each component material can be determined based on the target simulation thickness of each component material characterized by the target physical information of the power battery under test; the simulation units of each component material are divided according to the simulation unit division size of each component material to obtain the simulation unit division result corresponding to each component material; and a simulation model of the power battery under test is constructed based on the target physical information of the power battery under test, the simulation unit division result corresponding to each component material, and the target stress-strain curve.

[0094] It should be noted that since the target simulation thickness of each component material is larger than its actual thickness, the simulation unit partitioning size determined when setting the target simulation thickness of each component material is larger than the simulation unit partitioning size of the original refined simulation model. Therefore, the number of simulation units contained in the final simulation unit partitioning result for any component material will be much smaller than the number of simulation units for each component material in the original refined simulation model, in order to improve the computational efficiency of the simulation model.

[0095] Based on the above embodiments, in order to improve the efficiency of simulation model construction, the thickness increase ratio of each component material can be made the same. As an implementable approach, in one embodiment, the thickness increase ratio of each component material is determined according to the thickness and length information of each component material characterized by the original physical information, including:

[0096] Step 2021: Based on the thickness and length information of each component material characterized by the original physical information, determine the order of magnitude of the thickness and length of each component material;

[0097] Step 2022: Determine the thickness increase ratio of each component material based on the difference between the order of magnitude of its thickness and the order of magnitude of its length.

[0098] The dimensions of the components in a power battery are typically on the order of micrometers, while the dimensions of length and width are typically on the order of centimeters. One centimeter equals 10,000 micrometers, meaning the difference between the thickness and length orders of magnitude is 10,000. To increase the thickness of the components while minimizing changes to the physical form of the power battery, the thickness increase ratio for each component can be determined based on one-thousandth of the difference between the thickness and length orders of magnitude. For example, a uniform thickness increase ratio of 1:10 can be set for each component, effectively increasing the simulated thickness of each component to ten times its original value.

[0099] Based on the above embodiments, as an implementable approach, in one embodiment, the stress-strain curve of the component material is adjusted according to the increase ratio of the component material thickness to obtain the corresponding target stress-strain curve, including:

[0100] Step 2041: Determine the proportional reduction factor of the strain value in the stress-strain curve of the component material based on the increase ratio of the component material thickness.

[0101] Step 2042: Adjust the stress-strain curve of the component material according to the proportional reduction factor of the strain value in the stress-strain curve of the component material to obtain the corresponding target stress-strain curve.

[0102] To facilitate those skilled in the art in understanding how to obtain the target stress-strain curve, the embodiments of this application provide the following derivation process:

[0103] like Figure 3 As shown, this is a schematic diagram of the structure of the component materials in the original refined simulation model provided in the embodiments of this application. Figure 4 As shown, this is a schematic diagram of the structure of the component materials of the simulation model provided in the embodiment of this application. a It is the actual thickness of a certain component material in the original refined simulation model, t b If the target simulated thickness is the material component with its thickness dimension increased by n times, then... The original refined simulation model, referred to as the original model, assumes that the stress-strain curves of the component materials in the original model are σ. a =σ a (ε a In the simulation model constructed in this application embodiment, the stress-strain curve of the component materials is σ. b =σ b (ε b ), where σ is stress and ε is strain.

[0104] When both models are subjected to the same force F, to ensure they exhibit the same mechanical behavior, the deformation of both models should be δ. Therefore:

[0105]

[0106]

[0107]

[0108]

[0109] In the formula, A is the area where force F acts in both models, and it is also the area of ​​the component materials.

[0110] The above formula can be derived as follows:

[0111]

[0112] because so:

[0113]

[0114] make Then there is That is, when the thickness of the component material in the original model increases by n times, the strain value in the stress-strain curve of the component material is reduced by n times proportionally to keep the stress value unchanged, so as to ensure that the mechanical behavior of the simulation model after the thickness increase is consistent with that of the original model.

[0115] For example, for any component material, when the thickness of the component material increases by a ratio of 1:10, it can be determined that the proportional reduction factor of the strain value in the stress-strain curve of the component material is 10, that is, when the thickness of the component material increases to 10 times the original, the strain value in the stress-strain curve is reduced to 1 / 10 of the original.

[0116] Furthermore, in one embodiment, a simulation test request for the power battery under test can be obtained; according to the simulation test request, corresponding simulation test instructions are input to the simulation model of the power battery under test to obtain the simulation test results output by the simulation model.

[0117] The simulation test request must include at least one simulation test type; the simulation test type includes at least one of needle puncture simulation, crush simulation and drop simulation.

[0118] Specifically, simulation test requests can be set according to the factory test requirements of the power battery under test. Each simulation test request can include one simulation test type or multiple simulation test types, i.e., mixed simulation test, and will also include the corresponding test intensity.

[0119] Specifically, corresponding simulation test commands can be input into the simulation model of the power battery under test in the form of parameter commands, so that the simulation model can perform corresponding simulation calculations according to the obtained simulation test commands, and finally output the corresponding simulation results.

[0120] It should be noted that experiments show that the simulation model constructed by the power battery simulation model construction method provided in this application embodiment has basically the same simulation results as the original model under the same load. In terms of calculation time, the simulation model provided in this application embodiment reduces the time by 26.4%, which significantly improves the simulation calculation efficiency.

[0121] The method for constructing a power battery simulation model provided in this application involves: acquiring the original physical information of the power battery under test; determining the thickness increase ratio of each component material based on the thickness and length information of each component material characterized by the original physical information; increasing the simulated thickness of each component material according to the thickness increase ratio to obtain the target physical information of the power battery under test; adjusting the stress-strain curve of any component material according to the thickness increase ratio to obtain the corresponding target stress-strain curve; and constructing a simulation model of the power battery under test based on the target physical information of the power battery under test and the target stress-strain curves of each component material. The method provided above, by increasing the simulated thickness of the component materials and adaptively adjusting their stress-strain curves, ensures that the constructed simulation model of the power battery under test is equivalent to the original refined simulation model while reducing the number of simulation units and improving the computational efficiency of the simulation model.

[0122] This application provides a power battery simulation model construction device for executing the power battery simulation model construction method provided in the above embodiments.

[0123] like Figure 5 The diagram shown is a structural schematic of the power battery simulation model construction device provided in this embodiment of the application. The power battery simulation model construction device 50 includes: an acquisition module 501, a determination module 502, a thickness increase module 503, an adjustment module 504, and a construction module 505.

[0124] The system comprises the following modules: an acquisition module for acquiring the original physical information of the battery under test; a determination module for determining the thickness increase ratio of each component material based on the thickness and length information of each component material as characterized by the original physical information; a thickness increase module for increasing the simulated thickness of each component material according to the thickness increase ratio to obtain the target physical information of the battery under test; an adjustment module for adjusting the stress-strain curve of any component material according to the thickness increase ratio to obtain the corresponding target stress-strain curve; and a construction module for constructing a simulation model of the battery under test based on the target physical information of the battery under test and the target stress-strain curves of each component material.

[0125] Specifically, in one embodiment, the determining module is specifically used for:

[0126] Based on the thickness and length information of each component material characterized by the original physical information, determine the order of magnitude of the thickness and length of each component material.

[0127] Based on the difference between the order of magnitude of the thickness and the order of magnitude of the length of each component material, the corresponding thickness increase ratio of each component material is determined.

[0128] Specifically, in one embodiment, the thickness increasing module is specifically used for:

[0129] The simulated thickness of each component material was increased accordingly based on the thickness increase ratio to obtain the target simulated thickness of each component material.

[0130] The simulated thickness of each component material in the original physical information of the power battery under test is replaced with the target simulated thickness of each component material to obtain the target physical information of the power battery under test.

[0131] Specifically, in one embodiment, the construction module is specifically used for:

[0132] Based on the target simulation thickness of each component material characterized by the target physical information of the power battery under test, the simulation unit division size of each component material is determined.

[0133] Based on the simulation unit division size of each component material, the simulation units of each component material are divided to obtain the simulation unit division results corresponding to each component material;

[0134] Based on the target physical information of the power battery under test, the simulation unit division results of each component material, and the target stress-strain curve, a simulation model of the power battery under test is constructed.

[0135] Specifically, in one embodiment, the adjustment module is specifically used for:

[0136] Based on the increase in thickness of the component material, determine the proportional reduction factor of the strain value in the stress-strain curve of the component material;

[0137] By adjusting the stress-strain curves of the component materials according to the proportional reduction factor of the strain values ​​in the stress-strain curves, the corresponding target stress-strain curves are obtained.

[0138] Specifically, in one embodiment, the device further includes:

[0139] The simulation module is used to obtain simulation test requests from the power battery under test; based on the simulation test requests, it inputs corresponding simulation test instructions into the simulation model of the power battery under test to obtain the simulation test results output by the simulation model.

[0140] Specifically, in one embodiment, the simulation test request includes at least a simulation test type;

[0141] The simulation test types include at least one of needle penetration simulation, crush simulation, and drop simulation.

[0142] Regarding the power battery simulation model construction device in this embodiment, the specific methods by which each module performs its operations have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0143] The power battery simulation model construction device provided in this application embodiment is used to execute the power battery simulation model construction method provided in the above embodiment. Its implementation method and principle are the same, and will not be described again.

[0144] This application provides an electronic device for executing the power battery simulation model construction method provided in the above embodiments.

[0145] like Figure 6 The diagram shown is a structural schematic of an electronic device provided in an embodiment of this application. The electronic device 60 includes at least one processor 61 and a memory 62.

[0146] The memory stores computer-executable instructions; at least one processor executes the computer-executable instructions stored in the memory, causing at least one processor to execute the power battery simulation model construction method provided in the above embodiment.

[0147] The present application provides an electronic device for executing the power battery simulation model construction method provided in the above embodiments. Its implementation method and principle are the same, and will not be described again.

[0148] This application provides a computer-readable storage medium storing computer-executable instructions. When a processor executes the computer-executable instructions, it implements the power battery simulation model construction method provided in any of the above embodiments.

[0149] The storage medium containing computer-executable instructions in this application embodiment can be used to store the computer-executable instructions of the power battery simulation model construction method provided in the foregoing embodiments. Its implementation method and principle are the same, and will not be described again.

[0150] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0151] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0152] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in a combination of hardware and software functional units.

[0153] The integrated units implemented as software functional units described above can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0154] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is merely an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0155] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for constructing a simulation model of a power battery, characterized in that, include: Obtain the raw physical information of the power battery under test; Based on the thickness and length information of each component material characterized by the original physical information, the thickness increase ratio of each component material is determined. The simulated thickness of each component material is increased accordingly according to the thickness increase ratio to obtain the target physical information of the power battery under test. For any of the aforementioned component materials, the stress-strain curve of the component material is adjusted according to the increase ratio of the thickness of the component material to obtain the corresponding target stress-strain curve; Based on the target physical information of the power battery under test and the target stress-strain curves corresponding to each component material, a simulation model of the power battery under test is constructed. The step of determining the thickness increase ratio of each component material based on the thickness and length information of each component material characterized by the original physical information includes: Based on the thickness and length information of each component material characterized by the original physical information, the order of magnitude of the thickness and length of each component material is determined. The thickness increase ratio of each component material is determined based on the difference between the order of magnitude of its thickness and the order of magnitude of its length. The step of adjusting the stress-strain curve of the component material according to the increase ratio of the component material thickness to obtain the corresponding target stress-strain curve includes: Based on the increase in thickness of the component material, determine the proportional reduction factor of the strain value in the stress-strain curve of the component material; Based on the proportional reduction factor of the strain value in the stress-strain curve of the component material, the stress-strain curve of the component material is adjusted to obtain the corresponding target stress-strain curve.

2. The method according to claim 1, characterized in that, The step of increasing the simulated thickness of each component material according to the thickness increase ratio to obtain the target physical information of the power battery under test includes: The simulated thickness of each component material is increased accordingly according to the thickness increase ratio to obtain the target simulated thickness of each component material. The simulated thickness of each component material in the original physical information of the power battery under test is replaced with the target simulated thickness of each component material to obtain the target physical information of the power battery under test.

3. The method according to claim 2, characterized in that, The step of constructing a simulation model of the power battery under test based on the target physical information of the battery under test and the target stress-strain curves corresponding to each component material includes: Based on the target simulation thickness of each component material characterized by the target physical information of the power battery under test, the simulation unit division size of each component material is determined. According to the simulation unit division size of each component material, the simulation unit is divided for each component material to obtain the simulation unit division result corresponding to each component material; Based on the target physical information of the power battery under test, the simulation unit division results corresponding to each component material, and the target stress-strain curve, a simulation model of the power battery under test is constructed.

4. The method according to claim 1, characterized in that, Also includes: Obtain the simulation test request of the power battery under test; According to the simulation test request, the corresponding simulation test command is input to the simulation model of the power battery under test to obtain the simulation test result output by the simulation model.

5. The method according to claim 4, characterized in that, The simulation test request shall include at least the simulation test type; The simulation test types include at least one of needle puncture simulation, compression simulation, and drop simulation.

6. A device for constructing a power battery simulation model, characterized in that, include: The acquisition module is used to acquire the raw physical information of the power battery under test; The determination module is used to determine the thickness increase ratio of each component material based on the thickness and length information of each component material characterized by the original physical information; The thickness increase module is used to increase the simulated thickness of each component material according to the thickness increase ratio, so as to obtain the target physical information of the power battery under test. The adjustment module is used to adjust the stress-strain curve of any of the component materials according to the increase ratio of the thickness of the component material, so as to obtain the corresponding target stress-strain curve. The construction module is used to construct a simulation model of the power battery under test based on the target physical information of the power battery under test and the target stress-strain curves corresponding to each of the component materials. The determining module is specifically used for: Based on the thickness and length information of each component material characterized by the original physical information, the order of magnitude of the thickness and length of each component material is determined. The thickness increase ratio of each component material is determined based on the difference between the order of magnitude of its thickness and the order of magnitude of its length. The adjustment module is specifically used for: Based on the increase in thickness of the component material, determine the proportional reduction factor of the strain value in the stress-strain curve of the component material; Based on the proportional reduction factor of the strain value in the stress-strain curve of the component material, the stress-strain curve of the component material is adjusted to obtain the corresponding target stress-strain curve.

7. An electronic device, characterized in that, include: At least one processor and memory; The memory stores computer-executed instructions; The at least one processor executes computer execution instructions stored in the memory, causing the at least one processor to perform the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, implement the method as described in any one of claims 1 to 5.

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