Simulation modeling method and device of battery and nonvolatile storage medium

Abstract

The invention discloses a simulation modeling method and device of a battery and a nonvolatile storage medium. The method comprises the following steps: acquiring modeling parameters of a target battery input based on a target account; based on the modeling parameters, adopting a gasket unit to model the sealing rubber strip in the target battery to obtain a first model; a target modeling model is selected to model the membrane electrode assembly in the target battery to obtain a second model, and the target modeling model comprises at least one of a gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model and a nonlinear elastomer material constitutive model; modeling a bipolar plate in the target battery to obtain a third model; and determining a simulation model of the target battery based on the first model, the second model and the third model. According to the invention, the technical problems of long calculation period and low efficiency caused by large simulation modeling calculation scale of the battery in the prior art are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fuel cell simulation, in particular to a battery simulation modeling method and device and a nonvolatile storage medium. BACKGROUND

[0002] In the prior art, the single battery modeling in fuel cell package simulation usually adopts a traditional modeling method, in which the single battery gasket has small height and width and large length, and the contact between the rubber gasket and the polar plate has great sensitivity to the grid, so that fine grid division is required for the sealing, which increases the grid scale of the finite element model, the calculation period and the difficulty of model convergence, resulting in a long calculation period and low modeling efficiency.

[0003] At present, no effective solution has been proposed for the above problems. SUMMARY

[0004] The embodiments of the present application provide a battery simulation modeling method, device and nonvolatile storage medium to at least solve the technical problem of long calculation period and low efficiency caused by large calculation scale of battery simulation modeling in the related art.

[0005] According to an aspect of the embodiments of the present application, a battery simulation modeling method is provided, including: obtaining modeling parameters of a target battery input based on a target account, wherein the modeling parameters include geometric parameters and boundary condition parameters of the target battery; modeling a sealing rubber strip in the target battery based on the modeling parameters by using a gasket unit to obtain a first model; selecting a target modeling model to model a membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model includes at least one of the following: a gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model, and a nonlinear elastomer material constitutive model; modeling a bipolar plate in the target battery to obtain a third model, wherein the bipolar plate includes a positive plate and a negative plate of the target battery; and determining a simulation model of the target battery based on the first model, the second model and the third model.

[0006] Optionally, modeling the sealing rubber strip in the target battery based on the modeling parameters by using the gasket unit to obtain the first model includes: establishing a sealing rubber strip geometric model corresponding to the gasket unit based on the geometric parameters corresponding to the sealing rubber strip in the target battery; and setting boundary conditions for the sealing rubber strip geometric model according to the boundary condition parameters corresponding to the sealing rubber strip in the target battery to obtain the first model, wherein the boundary conditions are used to limit the sealing performance of the sealing rubber strip.

[0007] Optionally, a target modeling model is selected to model the membrane electrode assembly in the target battery, to obtain a second model, wherein the target modeling model comprises a nonlinear elastomer foam material constitutive model and an elastomer model, and the modeling comprises: modeling the gas diffusion layer in the membrane electrode assembly by using the nonlinear elastomer foam material constitutive model, to obtain a first component model; modeling the frame of the membrane electrode assembly by using the elastomer model, to obtain a second component model; and determining the second model according to the first component model and the second component model.

[0008] Optionally, a target modeling model is selected to model the membrane electrode assembly in the target battery, to obtain a second model, wherein the target modeling model comprises a gasket unit, and the modeling comprises: modeling the membrane electrode assembly by using the gasket unit, to obtain the second model.

[0009] Optionally, a target modeling model is selected to model the membrane electrode assembly in the target battery, to obtain a second model, wherein the target modeling model comprises a nonlinear elastomer material constitutive model and an elastomer model, and the modeling comprises: modeling the gas diffusion layer in the membrane electrode assembly by using the nonlinear elastomer material constitutive model, to obtain a first component model; modeling the frame of the membrane electrode assembly by using the elastomer model, to obtain a second component model; and determining the second model according to the first component model and the second component model.

[0010] Optionally, a bipolar plate in the target battery is modeled, to obtain a third model, and the modeling comprises: modeling the bipolar plate in the target battery by using a shell mesh model, to obtain the third model.

[0011] Optionally, a simulation model is determined based on the first model, the second model, and the third model, and the determining comprises: determining a combination manner between the first model, the second model, and the third model based on modeling parameters; and combining the first model, the second model, and the third model based on the combination manner, to obtain the simulation model.

[0012] According to another aspect of the embodiments of the present application, there is also provided a battery simulation modeling device, comprising: an obtaining module configured to obtain modeling parameters of a target battery input based on a target account, wherein the modeling parameters comprise geometric parameters and boundary condition parameters of the target battery; a first modeling module configured to model a gasket in the target battery based on the modeling parameters by using a gasket unit to obtain a first model; a second modeling module configured to model a membrane electrode assembly in the target battery by selecting a target modeling model to obtain a second model, wherein the target modeling model comprises at least one of the following: the gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model, and a nonlinear elastomer material constitutive model; a third modeling module configured to model a bipolar plate in the target battery to obtain a third model, wherein the bipolar plate comprises a positive plate and a negative plate of the target battery; and a determining module configured to determine a simulation model of the target battery based on the first model, the second model, and the third model.

[0013] According to still another aspect of the embodiments of the present application, there is also provided a nonvolatile storage medium comprising a stored program, wherein the program, when executed, controls a device in which the nonvolatile storage medium is located to perform any of the battery simulation modeling methods described above.

[0014] According to still another aspect of the embodiments of the present application, there is also provided a computer device comprising a processor configured to execute a program, wherein the program, when executed, performs any of the battery simulation modeling methods described above.

[0015] In the embodiments of the present application, the battery simulation modeling method is used to obtain modeling parameters of a target battery input based on a target account, wherein the modeling parameters comprise geometric parameters and boundary condition parameters of the target battery; model a gasket in the target battery based on the modeling parameters by using a gasket unit to obtain a first model; model a membrane electrode assembly in the target battery by selecting a target modeling model to obtain a second model, wherein the target modeling model comprises at least one of the following: the gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model, and a nonlinear elastomer material constitutive model; model a bipolar plate in the target battery to obtain a third model, wherein the bipolar plate comprises a positive plate and a negative plate of the target battery; and determine a simulation model of the target battery based on the first model, the second model, and the third model, thereby achieving the purpose of establishing a simulation model of the battery according to different requirements, and realizing the technical effect of improving the simulation modeling calculation efficiency of the battery, and further solving the technical problem of long calculation period and low efficiency caused by large calculation scale of the battery simulation modeling in the related art. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:

[0017] Figure 1 A hardware structure block diagram of a computer terminal for implementing the simulation modeling method of the battery is shown;

[0018] Figure 2 A flowchart of the simulation modeling method of the battery according to an embodiment of the application is shown;

[0019] Figure 3 A modeling diagram of the simulation modeling method of the battery according to an optional embodiment of the application is shown;

[0020] Figure 4 Another modeling diagram of the simulation modeling method of the battery according to an optional embodiment of the application is shown;

[0021] Figure 5 Still another modeling diagram of the simulation modeling method of the battery according to an optional embodiment of the application is shown;

[0022] Figure 6 A structure block diagram of the simulation modeling device of the battery according to an embodiment of the application is shown. DETAILED DESCRIPTION

[0023] In order to make the technical personnel in the art better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] According to the embodiments of the present application, the simulation modeling method of the battery is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from here.

[0026] The method provided by the embodiment one of the present application can be executed in a mobile terminal, a computer terminal or similar computing device. Figure 1 A hardware structure block diagram of a computer terminal for implementing the simulation modeling method of the battery is shown. As shown in the figure, Figure 1 The computer terminal 10 can include one or more processors (the processor can include but not limited to a microprocessor MCU or a programmable logic device FPGA processing device, etc.), a memory 104 for storing data. In addition, it can also include a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which can be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. Those skilled in the art can understand, Figure 1 The structure shown is only schematic, which does not limit the structure of the above-mentioned electronic device. For example, the computer terminal 10 can also include more or less components than those shown in the figure, or have a different configuration from that shown in the figure. Figure 1 For example, the computer terminal 10 can also include more or less components than those shown in the figure, or have a different configuration from that shown in the figure. Figure 1 For example, the computer terminal 10 can also include more or less components than those shown in the figure, or have a different configuration from that shown in the figure.

[0027] It should be noted that the one or more processors and / or other data processing circuits described above can be referred to as "data processing circuits" herein. The data processing circuit can be embodied in whole or in part as software, hardware, firmware or any other combination. In addition, the data processing circuit can be a single independent processing module, or all or part of any one of the other elements combined into the computer terminal 10. As referred to in the embodiments of the present application, the data processing circuit is a processor control (for example, the selection of the variable resistance terminal path connected with the interface).

[0028] The memory 104 can be used to store software programs of application software and modules, such as program instructions / data storage devices corresponding to the battery simulation modeling method in the embodiments of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, implements the battery simulation modeling method of the application program described above. The memory 104 can include a high-speed random access memory, and can also include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some examples, the memory 104 can further include a memory remotely arranged with respect to the processor, which can be connected to the computer terminal 10 through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0029] The display can be, for example, a touch screen type liquid crystal display (LCD) that can enable a user to interact with the user interface of the computer terminal 10.

[0030] Figure 2 is a flowchart of the battery simulation modeling method according to the embodiments of the present application, as shown in Figure 2 The method comprises the following steps:

[0031] In step S201, modeling parameters of a target battery input based on a target account are obtained, wherein the modeling parameters include geometric parameters and boundary condition parameters of the target battery.

[0032] In this step, the modeling parameters of the target battery input based on the target account are obtained, which can include geometric parameters and boundary condition parameters. Generally, the process of battery simulation modeling includes steps such as establishing geometric shapes, specifying material properties, and defining boundary conditions, therefore, obtaining the modeling parameters of the target battery input based on the target account can be used for subsequent establishment of the simulation model of the battery. The geometric parameters include fuel cell single cell component geometric models, which involve bipolar plates, membrane electrodes, and sealing tape, etc. The boundary condition parameters are used to describe the state and loading between single cell packaging components, which can include current boundary conditions, voltage boundary conditions, temperature boundary conditions, and interface boundary conditions, etc. The modeling parameters can also include load parameters, grid parameters, solving parameters, and post-processing parameters, etc. The load parameters include external loads or constraint conditions of the model, such as force, pressure, temperature, etc. The grid parameters include the density, type, shape, etc. of the grid, which determine the accuracy and computational efficiency of the model. The solving parameters include the selection of the solver, the number of iterations, the convergence accuracy, etc., which affect the accuracy and calculation speed of the simulation results. The post-processing parameters include the display, output format, chart settings, etc. of the results, which facilitate the analysis and evaluation of the simulation results.

[0033] In step S202, a gasket unit is used to model the sealing rubber strip in the target battery based on the modeling parameters to obtain a first model.

[0034] In this step, when modeling the sealing rubber strip during the simulation modeling of the battery, in order to obtain an accurate sealing pressure distribution, the sealing gasket needs to be finely meshed, which greatly increases the grid size of the finite element model, and further leads to a long calculation period. Therefore, the gasket unit is used to model the sealing rubber strip in the target battery, and the gasket unit attribute parameters are defined according to the sealing rubber strip thickness and the rubber strip compression characteristic curve. A part of the single battery simulation modeling is obtained as the first model. The gasket unit is a gasket structure, and the rubber strip compression characteristic curve usually refers to the compression deformation curve of the rubber strip under the action of force. As the applied compression force increases, the compression deformation of the rubber strip also increases, but the growth rate gradually slows down. Therefore, the use of the gasket unit can reduce the grid of the sealing rubber strip, greatly improve the convergence of the calculation, shorten the simulation period, and improve the simulation accuracy.

[0035] In step S203, a target modeling model is selected to model the membrane electrode assembly in the target battery to obtain a second model. The target modeling model includes at least one of the following: a gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model, and a nonlinear elastomer material constitutive model.

[0036] In this step, under normal circumstances, the membrane electrode assembly is composed of a gas diffusion layer and a frame. According to different application scenarios, different models can be selected to model the membrane electrode assembly to obtain a second model. The model used to model the membrane electrode assembly can include a gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model, and a nonlinear elastomer material constitutive model. For example, when simulating the process of carbon paper intrusion, a nonlinear elastomer material constitutive model can be used to model the membrane electrode assembly to obtain a second model. However, the nonlinear elastomer material constitutive model is relatively complex compared to other models, and therefore the calculation efficiency and convergence are relatively poor. If more attention is paid to modeling efficiency and convergence, a gasket unit can be used to model the membrane electrode assembly. Specifically, selecting an appropriate modeling model to model the membrane electrode assembly according to the actual situation can better meet the demand.

[0037] In step S204, a bipolar plate in the target battery is modeled to obtain a third model. The bipolar plate includes a positive plate and a negative plate of the target battery.

[0038] In this step, the bipolar plate in the target battery can be modeled to obtain a third model. The bipolar plate is composed of positive and negative plates, that is, a pair of positive and negative plates can form a bipolar plate. Currently, the bipolar plate is usually modeled using a three-dimensional solid model, but using a three-dimensional solid model for modeling will increase the network size of the model in order to ensure simulation accuracy. Therefore, a shell grid can also be selected to model the bipolar plate, which can reduce the number of grids of the bipolar plate model while ensuring accuracy. In step S205, based on the first model, the second model and the third model, a simulation model of the target battery is determined.

[0039] In this step, the simulation model of the target battery can be constructed according to the first model, the second model and the third model. Specifically, the modeling models of different parts in the target battery are combined to obtain the simulation model of the target battery. Specifically, the target battery can be composed of multiple battery unit laminates, plus the positive and negative level current collecting plates on both sides, and the outermost end plate. Each single battery unit is composed of a membrane electrode assembly (MEA), two adjacent sealing adhesive strips and two anode and cathode plates. The anode and cathode single level plate combination can form a bipolar plate. The stability of the stack laminate structure is maintained by the assembly force applied by the external fastening bolts or binding belts. The assembly force is applied to the end plate, and the end plate, as a structural member of the stack, has a certain strength and stiffness, which uniformly distributes the assembly force on the single battery plane. The simulation modeling of the target battery can be used to evaluate and optimize the performance of the battery system to meet specific application requirements.

[0040] Through the above steps, the purpose of establishing a simulation model of the battery according to different requirements is achieved, thereby realizing the technical effect of improving the simulation modeling calculation efficiency of the battery, and further solving the technical problem that the simulation modeling calculation scale of the battery in the related art is large, resulting in a long calculation period and low efficiency.

[0041] As an optional embodiment, based on the modeling parameters, the gasket unit is used to model the sealing adhesive strip in the target battery to obtain the first model, including: based on the geometric parameters corresponding to the sealing adhesive strip in the target battery, establishing a sealing adhesive strip geometric model corresponding to the gasket unit; according to the boundary condition parameters corresponding to the sealing adhesive strip in the target battery, setting boundary conditions for the sealing adhesive strip geometric model to obtain the first model, wherein the boundary conditions are used to limit the sealing performance of the sealing adhesive strip.

[0042] Optionally, the geometric parameters corresponding to the sealing rubber strip in the target battery include the thickness of the sealing rubber strip and the compression characteristic curve of the rubber strip. The thicker the sealing rubber strip is, the better its sealing performance and compression resistance will be, but the cost and installation difficulty will also increase. The compression characteristic curve of the rubber strip refers to the compression deformation curve of the rubber strip under the action of force. With the increase of the applied compression force, the compression deformation of the rubber strip also increases, but the growth rate gradually slows down. According to the set parameters, a set model of the sealing rubber strip corresponding to the gasket unit can be established, and then the boundary conditions are set based on the boundary condition parameters of the sealing rubber strip in the target battery, wherein the boundary condition parameters can include pressure, temperature, contact area and the like.

[0043] As an optional embodiment, a target modeling model is selected to model the membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model includes a nonlinear elastomer foam material constitutive model and an elastomer model, including: modeling the gas diffusion layer in the membrane electrode assembly by using the nonlinear elastomer foam material constitutive model to obtain a first component model; modeling the frame of the membrane electrode assembly by using the elastomer model to obtain a second component model; and determining the second model according to the first component model and the second component model.

[0044] Optionally, Figure 3 is a modeling schematic diagram of a battery simulation modeling method according to an optional embodiment of the present application, as Figure 3 shown, in general, the membrane electrode assembly includes a gas diffusion layer and a frame, in the target modeling model, the gas diffusion layer uses a nonlinear elastomer foam material constitutive model, and the frame uses an elastomer model, and the gas diffusion layer and the frame are combined to obtain a second model of the membrane electrode assembly. The nonlinear elastomer foam material constitutive model is a mathematical model for describing the nonlinear elastic behavior of foam materials under force. When a large deformation is generated, the deformation and the force applied thereon no longer have a linear relationship, which can more accurately describe the material properties of the gas diffusion layer. The elastomer model usually uses a linear elastic model, that is, the material will have a linear elastic deformation under the action of force, that is, there is a linear relationship between force and deformation. The gas diffusion layer (GDL component) uses a nonlinear elastomer foam material constitutive model, wherein the grid of the GDL corresponds to the polar plate as much as possible. Modeling the membrane electrode assembly (MEA component) by using this model can improve the simulation accuracy of the carbon paper intrusion between the polar plate and the GDL in the single battery assembly process, and achieve the technical effect of improving the simulation accuracy. According to the bipolar plate obtained by using the shell network modeling, that is, the third model, in combination with the first model and the second model, the simulation modeling model of the battery can be obtained.

[0045] As an optional embodiment, a target modeling model is selected to model the membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model comprises a gasket unit, and modeling the membrane electrode assembly by using the gasket unit to obtain the second model.

[0046] Optionally, Figure 4 Another modeling schematic diagram of the simulation modeling method of the battery according to an optional embodiment of the present application is shown in FIG. 4. Figure 4 As shown in FIG. 4, the membrane electrode assembly generally comprises a gas diffusion layer and a frame, and in the target modeling model, the gasket unit is used for the gas diffusion layer and the frame to obtain the second model of the membrane electrode assembly. The gasket unit can be used to replace the traditional nonlinear elastic material to simplify the model and reduce the grid. Specifically, the gasket unit is also used to replace the traditional nonlinear elastic material for the membrane electrode assembly (MEA component), which can improve the convergence of the simulation calculation and ensure the accuracy of the whole model, thereby achieving the technical effects of improving the convergence of the calculation and the efficiency of the modeling simulation. According to the bipolar plate modeled by using the shell network, that is, the third model, the first model and the second model can be combined to obtain the simulation modeling model of the battery.

[0047] As an optional embodiment, a target modeling model is selected to model the membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model comprises a gasket unit, and modeling the membrane electrode assembly by using the gasket unit to obtain the second model.

[0048] Optionally, Figure 5 Another modeling schematic diagram of the simulation modeling method of the battery according to an optional embodiment of the present application is shown in FIG. 4. Figure 5As shown, generally, the membrane electrode assembly includes two parts of the gas diffusion layer and the frame, in the target modeling model, the gas diffusion layer is modeled using a nonlinear elastomer material constitutive model to obtain a first component model, the frame is modeled using an elastomer model to obtain a second component model, and the first component model and the second component model are combined to obtain a second model of the membrane electrode assembly. The nonlinear elastomer material constitutive model is a mathematical model used to describe the nonlinear elastic behavior of materials under stress, for example, the stress and deformation relationship of many materials under external force is not a simple linear relationship, but presents nonlinear characteristics. The membrane electrode assembly (MEA component) adopts a nonlinear elastomer material constitutive model, wherein the grid of the GDL in the MEA component should correspond to the pole as much as possible, which can improve the carbon paper invasion simulation precision between the pole and the GDL in the single cell assembly process, and achieve the technical effects of improving the simulation calculation convergence and improving the calculation efficiency. According to the bipolar plate obtained by adopting the shell network modeling, that is, the third model, in combination with the first model and the second model, the simulation modeling model of the battery can be obtained.

[0049] As an optional embodiment, the bipolar plate in the target battery is modeled to obtain a third model, including: modeling the bipolar plate in the target battery using a shell grid model to obtain a third model.

[0050] Optionally, generally, the simulation modeling of the battery includes three parts of the bipolar plate, the sealing strip and the membrane electrode. The bipolar plate can be modeled using a shell grid model to obtain a third model, and the bipolar plate can include the positive plate and the negative plate of the target battery, that is, the cathode and anode single pole plates can be combined to form a bipolar plate, wherein the shell grid model is usually composed of a large number of finite element units, which have specific geometric shapes and node arrangements, and can accurately represent the geometric shape and stress condition of the shell structure. Therefore, according to the first model of the sealing strip, the second model of the membrane electrode and the third model of the bipolar plate, a complete battery simulation model can be determined. The bipolar plate is reduced from a three-dimensional entity model to a shell grid, which can ensure the contact simulation precision of the bipolar plate while greatly reducing the number of grids of the bipolar plate model, thereby reducing the network size of the model, reducing the calculation period and improving the efficiency of the simulation modeling.

[0051] As an optional embodiment, based on the first model, the second model and the third model, the simulation model is determined, including: determining the combination mode between the first model, the second model and the third model based on the modeling parameters; and combining the first model, the second model and the third model based on the combination mode to obtain the simulation model.

[0052] Optionally, since the battery is usually composed of the gasket, the membrane electrode assembly and the bipolar plate, the simulation model of the target battery can be obtained by combining the first model, the second model and the third model. The combination mode can be determined based on the modeling parameters. Since the gasket is usually used to close the inside of the battery to prevent gas and liquid leakage, and needs to be tightly connected with the MEA component, the bipolar plate is used for the positive and negative connection and conduction of the battery. The bipolar plate usually includes a conductive material and a conductive channel, and needs to be correctly combined with the MEA and the gasket. The combination mode of the gasket, the membrane electrode component and the bipolar plate can be determined according to the modeling parameters of the target battery, wherein the combination mode includes the connection relationship and the contact mode between the first model, the second model and the third model. According to the obtained combination mode, the combination of the three models can be limited in the modeling software, and the final simulation model can be obtained. By combining the modeling of the MEA component, the modeling of the gasket and the modeling of the bipolar plate for the simulation modeling of the battery, the performance and the design scheme of the battery can be more comprehensively evaluated, and reference can be provided for the optimization and improvement of the battery.

[0053] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the action sequence described, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily necessary for the present application.

[0054] Through the description of the above embodiments, those skilled in the art can clearly understand that the battery simulation modeling method according to the above embodiments can be realized by means of software and necessary general hardware platform, of course, it can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes a plurality of instructions for causing a terminal device (which can be a mobile phone, computer, server or network device) to execute the method described in each embodiment of the present application.

[0055] According to the embodiments of the present application, a battery simulation modeling device for implementing the battery simulation modeling method is also provided, Figure 6 is a structural block diagram of the battery simulation modeling device provided by the embodiments of the present application, as Figure 6As shown, the simulation modeling device of the battery comprises an acquisition module 61, a first modeling module 62, a second modeling module 63, a third modeling module 64 and a determination module 65, which are described below.

[0056] The acquisition module 61 acquires modeling parameters of the target battery input based on a target account, wherein the modeling parameters include geometric parameters and boundary condition parameters of the target battery.

[0057] The first modeling module 62 is connected with the acquisition module 61 and is configured to model the sealing strip in the target battery by using a gasket unit based on the modeling parameters to obtain a first model.

[0058] The second modeling module 63 is connected with the first modeling module 62 and is configured to model the membrane electrode assembly in the target battery by selecting a target modeling model to obtain a second model, wherein the target modeling model comprises at least one of the following: a gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model and a nonlinear elastomer material constitutive model.

[0059] The third modeling module 64 is connected with the second modeling module 63 and is configured to model the bipolar plate in the target battery to obtain a third model, wherein the bipolar plate comprises a positive plate and a negative plate of the target battery.

[0060] The determination module 65 is connected with the third modeling module 64 and is configured to determine a simulation model of the target battery based on the first model, the second model and the third model.

[0061] It should be noted that the acquisition module 61, the first modeling module 62, the second modeling module 63, the third modeling module 64 and the determination module 65 correspond to steps S201 to S205 in the embodiment, and the plurality of modules have the same instances and application scenarios as the corresponding steps, but are not limited to the contents disclosed in the above embodiment. It should be noted that the above modules can run in the computer terminal 10 provided in the embodiment as a part of the device.

[0062] The embodiment of the application can provide a computer device, which is optionally located in at least one network device of a plurality of network devices of a computer network in the embodiment. The computer device comprises a memory and a processor.

[0063] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the battery simulation modeling method and device in the embodiments of the present application. The processor executes various functions and data processing by running the software programs and modules stored in the memory, that is, implements the battery simulation modeling method described above. The memory can include a high-speed random access memory, and can also include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some examples, the memory can further include a memory remotely arranged with respect to the processor, which can be connected to the computer terminal through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0064] The processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: obtaining modeling parameters of a target battery input based on a target account, wherein the modeling parameters include geometric parameters and boundary condition parameters of the target battery; modeling the gasket in the target battery based on the modeling parameters using a gasket unit to obtain a first model; selecting a target modeling model to model the membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model includes at least one of the following: a gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model, and a nonlinear elastomer material constitutive model; modeling the bipolar plate in the target battery to obtain a third model, wherein the bipolar plate includes the positive plate and the negative plate of the target battery; and determining a simulation model of the target battery based on the first model, the second model, and the third model.

[0065] Optionally, the processor can further execute program codes of the following steps: modeling the gasket in the target battery based on the modeling parameters using a gasket unit to obtain a first model, including: establishing a gasket geometry model corresponding to the gasket unit based on the geometric parameters corresponding to the gasket in the target battery; setting boundary conditions for the gasket geometry model according to the boundary condition parameters corresponding to the gasket in the target battery to obtain the first model, wherein the boundary conditions are used to limit the sealing performance of the gasket.

[0066] Optionally, the processor can further execute program codes of the following steps: selecting a target modeling model to model the membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model includes a nonlinear elastomer foam material constitutive model and an elastomer model, including: modeling the gas diffusion layer in the membrane electrode assembly using the nonlinear elastomer foam material constitutive model to obtain a first component model; modeling the frame in the membrane electrode assembly using the elastomer model to obtain a second component model; and determining the second model according to the first component model and the second component model.

[0067] Optionally, the processor can further execute program codes of the following steps: selecting a target modeling model to model the membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model comprises a gasket unit, and the modeling comprises: modeling the membrane electrode assembly by using the gasket unit to obtain the second model.

[0068] Optionally, the processor can further execute program codes of the following steps: selecting a target modeling model to model the membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model comprises a gasket unit, and the modeling comprises: modeling the membrane electrode assembly by using the gasket unit to obtain the second model.

[0069] Optionally, the processor can further execute program codes of the following steps: modeling the bipolar plate in the target battery to obtain a third model, comprising: modeling the bipolar plate in the target battery by using a shell mesh model to obtain the third model.

[0070] Optionally, the processor can further execute program codes of the following steps: determining a simulation model based on the first model, the second model and the third model, comprising: determining a combination mode between the first model, the second model and the third model based on the modeling parameters; and combining the first model, the second model and the third model based on the combination mode to obtain the simulation model.

[0071] The embodiment of the application provides a battery simulation modeling method. The modeling parameters of the target battery input based on a target account are obtained, wherein the modeling parameters comprise geometric parameters and boundary condition parameters of the target battery. The gasket unit is used to model the sealing rubber strip in the target battery based on the modeling parameters to obtain a first model. A target modeling model is selected to model the membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model comprises at least one of the following: a gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model and a nonlinear elastomer material constitutive model. The bipolar plate in the target battery is modeled to obtain a third model, wherein the bipolar plate comprises a positive plate and a negative plate of the target battery. The simulation model of the target battery is determined based on the first model, the second model and the third model. The simulation model of the battery is established according to different requirements, the simulation modeling calculation efficiency of the battery is improved, and the technical problems of long calculation period and low efficiency caused by large simulation modeling calculation scale of the battery in the related art are solved.

[0072] Those skilled in the art can understand that all or part of the steps in the above-mentioned various methods of the embodiments can be completed by instructing the terminal device related hardware through a program, and the program can be stored in a non-volatile storage medium, which can include a flash disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0073] The embodiments of the present application also provide a non-volatile storage medium. Optionally, in the present embodiment, the above-mentioned non-volatile storage medium can be used to save the program code executed by the simulation modeling method of the battery provided by the above-mentioned embodiments.

[0074] Optionally, in the present embodiment, the above-mentioned non-volatile storage medium can be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group.

[0075] Optionally, in the present embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: obtaining modeling parameters of a target battery input based on a target account, wherein the modeling parameters include geometric parameters of the target battery and boundary condition parameters; based on the modeling parameters, modeling the gasket in the target battery by using a gasket unit to obtain a first model; selecting a target modeling model to model the membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model includes at least one of the following: a gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model, and a nonlinear elastomer material constitutive model; modeling the bipolar plate in the target battery to obtain a third model, wherein the bipolar plate includes the positive plate and the negative plate of the target battery; and determining a simulation model of the target battery based on the first model, the second model, and the third model.

[0076] Optionally, in the present embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: based on the modeling parameters, modeling the gasket in the target battery by using a gasket unit to obtain a first model, including: based on the geometric parameters corresponding to the gasket in the target battery, establishing a gasket geometric model corresponding to the gasket unit; and setting boundary conditions for the gasket geometric model according to the boundary condition parameters corresponding to the gasket in the target battery to obtain the first model, wherein the boundary conditions are used to limit the sealing performance of the gasket.

[0077] Optionally, in the embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: selecting a target modeling model to model a membrane electrode assembly in a target battery to obtain a second model, wherein the target modeling model comprises a nonlinear elastomeric foam material constitutive model and an elastomeric model, comprising: modeling a gas diffusion layer in the membrane electrode assembly using the nonlinear elastomeric foam material constitutive model to obtain a first component model; modeling a gasket in the membrane electrode assembly using the elastomeric model to obtain a second component model; determining the second model according to the first component model and the second component model.

[0078] Optionally, in the embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: selecting a target modeling model to model a membrane electrode assembly in a target battery to obtain a second model, wherein the target modeling model comprises a gasket unit, comprising: modeling the membrane electrode assembly using the gasket unit to obtain the second model.

[0079] Optionally, in the embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: selecting a target modeling model to model a membrane electrode assembly in a target battery to obtain a second model, wherein the target modeling model comprises a nonlinear elastomeric material constitutive model and an elastomeric model, comprising: modeling a gas diffusion layer in the membrane electrode assembly using the nonlinear elastomeric material constitutive model to obtain a first component model; modeling a gasket in the membrane electrode assembly using the elastomeric model to obtain a second component model; determining the second model according to the first component model and the second component model.

[0080] Optionally, in the embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: modeling a bipolar plate in a target battery to obtain a third model, comprising: modeling the bipolar plate in the target battery using a shell mesh model to obtain the third model.

[0081] Optionally, in the embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: determining a simulation model based on the first model, the second model and the third model, comprising: determining a combination mode between the first model, the second model and the third model based on modeling parameters; combining the first model, the second model and the third model based on the combination mode to obtain the simulation model.

[0082] The embodiment of the present application further provides a computer program product comprising a computer program, which, when executed by a processor, can realize the following: obtaining modeling parameters of a target battery input based on a target account, wherein the modeling parameters comprise geometric parameters and boundary condition parameters of the target battery; modeling a gasket in the target battery based on the modeling parameters by using a gasket unit to obtain a first model; selecting a target modeling model to model a membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model comprises at least one of the following: the gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model, and a nonlinear elastomer material constitutive model; modeling a bipolar plate in the target battery to obtain a third model, wherein the bipolar plate comprises a positive plate and a negative plate of the target battery; and determining a simulation model of the target battery based on the first model, the second model and the third model.

[0083] The above-mentioned serial numbers of the embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0084] In the above-mentioned embodiments of the present application, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0085] In several embodiments provided in the present application, it should be understood that the disclosed technical contents can be implemented by other ways. Among them, the above-mentioned device embodiments are only schematic, for example, the division of the units can be a logical function division, and actual implementation can have another division way, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or modules shown or discussed can be indirect coupling or communication connection through some interfaces, units or modules, which can be electrical or other forms.

[0086] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or they can be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0087] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be realized in the form of hardware or in the form of software functional unit.

[0088] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a nonvolatile storage medium. Based on such understanding, the technical solutions of the present application, essentially or in part, or all or part of the technical solutions, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, and various media that can store program codes.

[0089] The above description is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should be considered as the protection scope of the present application.

Claims

1. A method of simulation modeling of a battery, characterized by, The method comprises: obtaining modeling parameters of a target battery input based on a target account, wherein the modeling parameters include geometric parameters and boundary condition parameters of the target battery; based on the modeling parameters, modeling the gasket in the target battery by using a gasket unit to obtain a first model; selecting a target modeling model to model the membrane electrode assembly in the target battery to obtain a second model, wherein the target modeling model includes at least one of the following: the gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model, and a nonlinear elastomer material constitutive model; modeling the bipolar plate in the target battery to obtain a third model, wherein the bipolar plate includes the positive plate and the negative plate of the target battery; determining a simulation model of the target battery based on the first model, the second model, and the third model.

2. The method of claim 1, wherein, The method comprises: based on the geometric parameters corresponding to the gasket in the target battery, establishing a gasket geometry model corresponding to the gasket unit; according to the boundary condition parameters corresponding to the gasket in the target battery, setting boundary conditions for the gasket geometry model to obtain the first model, wherein the boundary conditions are used to limit the sealing performance of the gasket.

3. The method of claim 1, wherein, The method comprises: using the nonlinear elastomer foam material constitutive model to model the gas diffusion layer in the membrane electrode assembly to obtain a first component model; using the elastomer model to model the frame in the membrane electrode assembly to obtain a second component model; determining the second model according to the first component model and the second component model.

4. The method of claim 1, wherein, The method comprises: using the gasket unit to model the membrane electrode assembly to obtain the second model.

5. The method of claim 1, wherein, The method comprises: using the nonlinear elastomer material constitutive model to model the gas diffusion layer in the membrane electrode assembly to obtain a first component model; using the elastomer model to model the frame in the membrane electrode assembly to obtain a second component model; determining the second model according to the first component model and the second component model.

6. The method according to any one of claims 1 to 5, characterized in that, The method comprises: using a shell mesh model to model the bipolar plate in the target battery to obtain the third model.

7. The method according to any one of claims 1 to 5, characterized in that, The determining the simulation model based on the first model, the second model and the third model comprises: determining a combination manner among the first model, the second model and the third model based on the modeling parameters; combining the first model, the second model and the third model based on the combination manner to obtain the simulation model.

8. An apparatus for simulation modeling of a battery, comprising: comprise: an acquisition module, configured to acquire modeling parameters of a target battery input based on a target account, wherein the modeling parameters comprise geometric parameters and boundary condition parameters of the target battery; a first modeling module, configured to model a sealant strip in the target battery by using a gasket unit based on the modeling parameters to obtain a first model; a second modeling module, configured to model a membrane electrode assembly in the target battery by using a target modeling model to obtain a second model, wherein the target modeling model comprises at least one of the following: the gasket unit, a nonlinear elastomer foam material constitutive model, an elastomer model and a nonlinear elastomer material constitutive model; a third modeling module, configured to model a bipolar plate in the target battery to obtain a third model, wherein the bipolar plate comprises a positive plate and a negative plate of the target battery; a determination module, configured to determine a simulation model of the target battery based on the first model, the second model and the third model.

9. A non-volatile storage medium, comprising: The non-volatile storage medium comprises a stored program, wherein the program controls a device in which the non-volatile storage medium is located to perform the simulation modeling method of the battery in any one of claims 1 to 7 when the program is running.

10. A computer device, comprising: comprise: a memory and a processor, the memory stores a computer program; the processor is configured to execute the computer program stored in the memory, and the computer program makes the processor execute the simulation modeling method of the battery in any one of claims 1 to 7 when running.

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