Battery pack upper cover thermal runaway simulation method and device, electronic equipment and storage medium

Abstract

The invention discloses a battery pack upper cover thermal runaway simulation method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a target material of a target battery pack upper cover; according to the target material, constructing a finite element model corresponding to the target battery pack upper cover; determining a first curve of the target battery pack upper cover in a first state; and performing thermal runaway simulation on the target battery pack upper cover according to the first curve. By adopting the method, the result of the modeling process can be ensured to be as accurate as possible by determining the target material of the upper cover of the target battery pack, so that the accuracy of the subsequent simulation result is ensured; a finite element model corresponding to a target battery pack upper cover is constructed according to a target material; determining a first curve of the target battery pack upper cover in the first state; and finally, according to the first curve, thermal runaway simulation is performed on the target battery pack upper cover, so that the accuracy of a simulation result is ensured.

Description

Technical Field

[0001] The present invention relates to the field of material structure strength analysis and simulation technology, and in particular to a battery pack cover thermal runaway simulation method, device, electronic equipment and storage medium. Background Art

[0002] With the popularization of new energy vehicles, ensuring the safety of battery packs has become the key to improving the safety of electric vehicles.

[0003] Battery thermal runaway may cause instantaneous extreme high temperature and high pressure shock, posing a serious threat to the structural strength and impact resistance of the battery pack structure, especially the upper cover. Traditional strength assessment methods are mostly based on static strength analysis, which makes it difficult to effectively assess the response of the battery pack upper cover under instantaneous extreme pressure. Summary of the invention

[0004] The present invention provides a method, device, electronic device and storage medium for simulating thermal runaway of a battery pack cover, so as to solve the problem that it is difficult to determine the response of the battery pack cover under instantaneous extreme pressure during the simulation process.

[0005] According to one aspect of the present invention, a method for simulating thermal runaway of a battery pack cover is provided, the method comprising:

[0006] Determine the target material for the target battery pack cover;

[0007] According to the target material, construct the finite element model corresponding to the target battery pack cover;

[0008] Determine a first curve of the target battery pack upper cover in the first state, where the first state is a thermal runaway state of the battery pack cells, and the first curve is a curve of target battery pressure changing over time;

[0009] According to the first curve, a thermal runaway simulation is performed on the upper cover of the target battery pack.

[0010] According to another aspect of the present invention, a battery pack upper cover thermal runaway simulation device is provided, the device comprising:

[0011] A target material determination module, used to determine the target material of the target battery pack cover;

[0012] A model determination module is used to construct a finite element model corresponding to the target battery pack cover according to the target material;

[0013] A first curve determination module, used to determine a first curve of a target battery pack upper cover in a first state, the first state being a thermal runaway state of a battery pack cell, and the first curve being a curve of a target battery pressure changing over time;

[0014] The upper cover simulation module is used to perform thermal runaway simulation on the upper cover of the target battery pack according to the first curve.

[0015] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the battery pack cover thermal runaway simulation method of any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions, and the computer instructions are used to enable a processor to implement the battery pack cover thermal runaway simulation method of any embodiment of the present invention when executed.

[0020] The technical solution of the embodiment of the present invention can ensure that the results of the modeling process are as accurate as possible by determining the target material of the target battery pack cover, thereby ensuring the accuracy of subsequent simulation results; by constructing a finite element model corresponding to the target battery pack cover according to the target material; determining the first curve of the target battery pack cover in the first state; and finally, performing thermal runaway simulation on the target battery pack cover according to the first curve, thereby ensuring the accuracy of the simulation results.

[0021] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 is a flow chart of a battery pack cover thermal runaway simulation method provided according to Embodiment 1 of the present invention;

[0024] Figure 2 is a flow chart of another battery pack cover thermal runaway simulation method provided according to the second embodiment of the present invention;

[0025] Figure 32 is a schematic structural diagram of a battery pack upper cover thermal runaway simulation device provided according to Embodiment 3 of the present invention;

[0026] Figure 4 It is a structural schematic diagram of an electronic device for implementing the battery pack cover thermal runaway simulation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Embodiment 1

[0030] Figure 1 A flowchart of a method for simulating thermal runaway of a battery pack cover is provided for the first embodiment of the present invention. This embodiment is applicable to the case of simulating thermal runaway of a battery pack cover. The method can be performed by a device for simulating thermal runaway of a battery pack cover. The device can be implemented in the form of hardware and / or software. The device can be configured in an electronic device with data processing capability. Figure 1 As shown, the method includes:

[0031] S110 , determining a target material for a target battery pack cover.

[0032] Battery thermal runaway is a common phenomenon of battery damage. When the battery is in thermal runaway, the battery cover is often under tremendous pressure. If the battery cover can absorb enough energy, it can reduce the damage to other vehicle components caused by the battery in thermal runaway. Therefore, the quality of the battery cover can be determined by determining the stress and strain of the battery cover in thermal runaway and the absorbed energy.

[0033] However, directly testing the battery pack cover by putting the battery in an uncontrolled thermal runaway state will result in high testing costs, and each test requires a lot of cost, so testing through simulation can reduce costs. However, how to ensure the accuracy of the simulation results becomes a problem.

[0034] Since different battery pack covers may use different materials during the production process, the properties of the battery pack covers during the simulation process may also be different. Therefore, before simulating the target battery pack cover, it is necessary to determine the target material of the target battery pack cover. The target battery pack cover may be the battery pack cover that needs to be simulated for thermal runaway.

[0035] By determining the target material for the target battery pack cover, the results of the modeling process can be ensured to be as accurate as possible, thereby ensuring the accuracy of subsequent simulation results.

[0036] S120. Construct a finite element model corresponding to the target battery pack cover according to the target material.

[0037] After obtaining the target material, the target battery pack cover can be modeled according to the characteristics of the target material to generate a corresponding finite element model.

[0038] S130 , determining a first curve of the target battery pack cover in a first state.

[0039] The first state is a thermal runaway state of the battery pack cells, and the first curve is a curve showing a change in target battery pressure over time.

[0040] Since the target battery pack cover is installed under thermal runaway conditions, it is necessary to determine the actual pressure change under thermal runaway conditions before simulation, and then use the same pressure change during the simulation to ensure the accuracy of the simulation results.

[0041] For this purpose, it is necessary to determine the curve of target battery pressure changing with time when the target battery pack cell is in thermal runaway state.

[0042] In an optional solution, determining a first curve of the target battery pack cover in the first state may include steps A1-A3:

[0043] Step A1: Obtain at least one sample battery pack, where the battery model and parameters of the sample battery pack are the same as those of the target battery pack.

[0044] Step A2: Perform thermal runaway processing on at least one sample battery pack to determine at least one second curve, where the second curve is a curve of pressure variation of the sample battery pack over time.

[0045] Step A3: Determine the first curve according to at least one second curve.

[0046] In order to ensure the accuracy of the result determined by the first curve, a sample battery pack that is the same as the target battery pack may be used to perform thermal runaway processing under actual conditions to achieve accurate confirmation of the first curve.

[0047] To this end, at least one sample battery pack may be obtained first, and the sample battery pack may be manually subjected to thermal runaway processing to determine the second curve of pressure versus time for each sample battery pack under thermal runaway conditions, and the first curve may be generated based on each second curve.

[0048] Among them, due to the thermal runaway characteristics of the battery pack itself, the first curve is a segmented curve.

[0049] Optionally, in the common first curve, there are often five stages, namely:

[0050] ① Stage 1: Stable growth: mainly includes electrolyte evaporation and SEI layer decomposition, during which the pressure increases slowly.

[0051] ② Stage 2 pre-opening of the valve: The pre-opening of the valve causes a partial reduction in pressure, but the overall pressure is still rising.

[0052] ③ Stage 3 Rapid Increase: In this stage, the diaphragm melts, the battery cell melts and releases a large amount of gas, heat and particles, and the pressure increases sharply.

[0053] ④ Stage 4: Pressure relief valve opens: The pressure relief valve opens and the pressure drops rapidly to balance with the outside world.

[0054] ⑤Stage 5 Plateau: Pressure and the outside world reach a balance.

[0055] In an explicit finite element simulation platform (such as Abaqus / Explicit), the first curve is applied to the model using a custom load function, and combined with the explicit dynamic solution 3 method to capture the dynamic response of the composite battery pack cover during the entire impact process.

[0056] For example, the following formula can be obtained by calculating at each stage:

[0057] Phase 1 formula: y = 0.0073x2 - 0.6004x + 110.5;

[0058] Phase 2 formula: y = 0.2627x2 - 92.831x + 8402.5;

[0059] Phase 3 formula: y = -40.437x2 + 15351x - 1E + 06;

[0060] Phase 4 formula: y = -0.0271x + 106;

[0061] Stage 5 formula: y = -0.0271x + 106.

[0062] S140: Perform a thermal runaway simulation on the target battery pack cover according to the first curve.

[0063] After obtaining the first curve, simulation is performed according to the first curve during the simulation process to determine how the upper cover of the target battery pack changes over time under thermal runaway, thereby determining the quality of the upper cover of the target battery pack.

[0064] Optionally, according to the first curve, thermal runaway simulation is performed on the upper cover of the target battery pack, including:

[0065] Based on the first curve, a stress and strain curve of the upper cover of the target battery pack over time is determined.

[0066] During the simulation process, in order to better determine the changes in the target battery pack cover during the simulation process, the stress and strain curve of the target battery pack cover changing over time under the first curve can be determined, thereby obtaining a complete simulation record of the target battery pack cover.

[0067] By adopting the technical solution of the present application, by determining the target material of the target battery pack cover, the results of the modeling process can be ensured to be as accurate as possible, thereby ensuring the accuracy of the subsequent simulation results; by constructing a finite element model corresponding to the target battery pack cover according to the target material; determining the first curve of the target battery pack cover in the first state; and finally, based on the first curve, performing thermal runaway simulation on the target battery pack cover to ensure the accuracy of the simulation results.

[0068] Embodiment 2

[0069] Figure 2 The present invention provides a flowchart of another method for simulating thermal runaway of a battery pack cover. Based on the above embodiment, this embodiment further optimizes the process of constructing a finite element model corresponding to the target battery pack cover according to the material type in the above embodiment. This embodiment can be combined with various optional solutions in one or more of the above embodiments. Figure 2 As shown, the battery pack cover thermal runaway simulation method of this embodiment may include the following steps:

[0070] S210 , determining a target material for a target battery pack cover.

[0071] S220: If the target material of the target battery pack upper cover is a composite material, a multilayer composite material finite element model corresponding to the target battery pack upper cover is established according to the target material.

[0072] In the existing battery pack cover, composite materials are often used as the target material of the target battery pack cover. In this case, in order to ensure the accuracy of model construction, a multi-layer composite material finite element model corresponding to the target battery pack cover can be established based on the composite material.

[0073] When building a model, you can define the stress-strain relationship, thermal expansion coefficient, and nonlinear failure criteria of each layer and interlayer material to ensure more accuracy in the subsequent simulation process.

[0074] S230, determining a first curve of the target battery pack cover in a first state, where the first state is a thermal runaway state of the battery pack cells, and the first curve is a curve of pressure change over time.

[0075] S240. If the target material of the target battery pack cover is a fiber reinforced composite material, a hash failure criterion is introduced into each layer in the multilayer composite material finite element model.

[0076] Hashin failure criterion: Applicable to fiber-reinforced composite materials, it distinguishes different failure modes based on tension and shear stress. Hashin criterion can be divided into fiber tensile failure, fiber compression failure, matrix tensile failure and matrix compression failure modes.

[0077] In order to ensure the accuracy of the finite element model of multilayer composite materials in simulation, it is necessary to introduce the hashing failure criterion for each layer in the finite element model of multilayer composite materials to ensure the accuracy of the energy results in the final simulation.

[0078] S250. Simulate the multilayer composite material finite element model based on the first curve to determine the stress and strain curves of each layer in the multilayer composite material finite element model over time.

[0079] During the simulation process, a nonlinear damage evolution model can be used to gradually reduce the stiffness of each layer in the finite element model of multilayer composite materials to simulate the cumulative damage.

[0080] The specific damage evolution is as follows:

[0081] σ=C d *ε

[0082] Where, σ represents stress; C d represents the elastic damage matrix; ε represents the strain. Among them:

[0083]

[0084] Where D = 1-(1-d f )(1-d m )v 12 v 21 ;d f Indicates the current shear damage state of the fiber; d m represents the collective shear damage state; d s Indicates the shear damage state of the material; d f d m and s The size of is related to the stress direction of the composite material. E1 and E2 represent the Young's modulus in the longitudinal and transverse directions respectively; G represents the shear modulus, v 12 With v 21 are Poisson's ratios.

[0085] S260. After the simulation is completed, determine the total absorbed energy of the multilayer composite material finite element model.

[0086] S270. Determine the impact resistance and energy dissipation capacity of the target battery pack cover based on the total absorbed energy.

[0087] During simulation, since the total energy that the target battery pack cover can absorb can indicate the quality of the target battery pack cover, it is necessary to determine the total energy absorbed by the multilayer composite material finite element model after the simulation is completed, and after the determination is completed, evaluate the impact resistance and energy dissipation capacity of the target battery pack cover. The evaluation criteria can be determined manually or based on existing standards.

[0088] By adopting the technical solution of the present application, if the target material of the target battery pack cover is a composite material, a multi-layer composite material finite element model corresponding to the target battery pack cover is established according to the target material; if the target material of the target battery pack cover is a fiber-reinforced composite material, a hash failure criterion is introduced into each layer in the multi-layer composite material finite element model, so as to ensure that in subsequent simulations, the simulation results are more consistent with what occurs in real situations, thereby ensuring the accuracy of the simulation results.

[0089] Embodiment 3

[0090] Figure 3 The present invention provides a structural block diagram of a battery pack cover thermal runaway simulation device. This embodiment can be applied to the case of thermal runaway simulation of the battery pack cover. The battery pack cover thermal runaway simulation device can be implemented in the form of hardware and / or software, and the battery pack cover thermal runaway simulation device can be configured in an electronic device with data processing capabilities. Figure 3As shown, the battery pack cover thermal runaway simulation device of this embodiment may include: a target material determination module 310, a model determination module 320, a first curve determination module 330 and a cover simulation module 340. Among them:

[0091] A target material determination module 310, used to determine a target material of a target battery pack cover;

[0092] A model determination module 320, configured to construct a finite element model corresponding to the target battery pack cover according to the target material;

[0093] A first curve determination module 330, configured to determine a first curve of the target battery pack cover in a first state, wherein the first state is a state of electrical thermal runaway of the battery pack, and the first curve is a curve of target battery pressure changing over time;

[0094] The upper cover simulation module 340 is used to perform thermal runaway simulation on the upper cover of the target battery pack according to the first curve.

[0095] Based on the above embodiment, optionally, the first curve determination module 330 includes:

[0096] Acquire at least one sample battery pack, wherein the battery model and parameters of the sample battery pack are the same as those of the target battery pack;

[0097] Performing thermal runaway processing on at least one sample battery pack to determine at least one second curve, where the second curve is a curve of pressure variation of the sample battery pack over time;

[0098] Based on at least one second curve, a first curve is determined.

[0099] Based on the above embodiment, optionally, the model determination module 320 includes:

[0100] If the target material of the target battery pack upper cover is a composite material, a multilayer composite material finite element model corresponding to the target battery pack upper cover is established according to the target material.

[0101] Based on the above embodiment, optionally, after determining the first curve of the target battery pack cover in the first state, where the first state is the electrical thermal runaway state of the battery pack, and the first curve is a curve of pressure change over time, the method further includes:

[0102] If the target material of the target battery pack cover is a fiber reinforced composite material, a hashing failure criterion is introduced into each layer in the multilayer composite material finite element model.

[0103] Based on the above embodiment, optionally, the upper cover simulation module 340 includes:

[0104] Based on the first curve, a stress and strain curve of the target battery pack cover over time is determined.

[0105] On the basis of the above embodiment, optionally, performing a thermal runaway simulation on the target battery pack cover according to the first curve includes:

[0106] The multi-layer composite material finite element model is simulated according to the first curve to determine the stress and strain curve of each layer in the multi-layer composite material finite element model over time.

[0107] Based on the above embodiment, optionally, after simulating the multilayer composite material finite element model according to the first curve to determine the stress and strain curve of each layer in the multilayer composite material finite element model over time, the method further includes:

[0108] Determine the total absorbed energy of a multilayer composite finite element model;

[0109] According to the total absorbed energy, the impact resistance and energy dissipation capacity of the target battery pack cover are determined.

[0110] The battery pack cover thermal runaway simulation device provided in the embodiment of the present invention can execute the battery pack cover thermal runaway simulation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0111] Embodiment 4

[0112] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0113] like Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12 and RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0114] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various battery networks.

[0115] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a battery pack cover thermal runaway simulation method.

[0116] In some embodiments, the battery pack cover thermal runaway simulation method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the battery pack cover thermal runaway simulation method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the battery pack cover thermal runaway simulation method in any other appropriate manner (for example, by means of firmware).

[0117] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0118] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0119] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0120] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0121] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0122] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0123] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0124] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A battery pack cover thermal runaway simulation method, characterized in that: include: Determine the target material for the target battery pack cover; According to the target material, construct a finite element model corresponding to the target battery pack cover; Determine a first curve of the target battery pack upper cover in a first state, wherein the first state is a state of electrical thermal runaway of the battery pack, and the first curve is a curve of target battery pressure changing over time; According to the first curve, a thermal runaway simulation is performed on the target battery pack cover.

2. The method according to claim 1, characterized in that Determining a first curve of the target battery pack cover in a first state includes: Acquire at least one sample battery pack, where the battery model and parameters of the sample battery pack are the same as those of the target battery pack; Performing thermal runaway processing on at least one sample battery pack to determine at least one second curve, where the second curve is a curve of pressure variation of the sample battery pack over time; Based on at least one second curve, a first curve is determined.

3. The method according to claim 1, characterized in that According to the target material, a finite element model corresponding to the target battery pack cover is constructed, including: If the target material of the target battery pack upper cover is a composite material, a multilayer composite material finite element model corresponding to the target battery pack upper cover is established according to the target material.

4. The method according to claim 3, characterized in that After determining a first curve of the target battery pack upper cover in the first state, wherein the first state is a state of electrical thermal runaway of the battery pack, and the first curve is a curve of pressure change over time, the method further includes: If the target material of the target battery pack cover is a fiber reinforced composite material, a hashing failure criterion is introduced into each layer in the multilayer composite material finite element model.

5. The method according to claim 1, characterized in that According to the first curve, a thermal runaway simulation is performed on the upper cover of the target battery pack, including: Based on the first curve, a stress and strain curve of the target battery pack cover over time is determined.

6. The method according to claim 4, characterized in that According to the first curve, a thermal runaway simulation is performed on the upper cover of the target battery pack, including: The multi-layer composite material finite element model is simulated according to the first curve to determine the stress and strain curve of each layer in the multi-layer composite material finite element model over time.

7. The method according to claim 6, characterized in that After simulating the multilayer composite material finite element model according to the first curve to determine the stress and strain curve of each layer in the multilayer composite material finite element model over time, the method further includes: Determine the total absorbed energy of a multilayer composite finite element model; According to the total absorbed energy, the impact resistance and energy dissipation capacity of the target battery pack cover are determined.

8. A battery pack cover thermal runaway simulation device, characterized in that: include: A target material determination module, used to determine the target material of the target battery pack cover; A model determination module, used to construct a finite element model corresponding to the target battery pack cover according to the target material; A first curve determination module, used to determine a first curve of the target battery pack cover in a first state, wherein the first state is a state of electrical thermal runaway of the battery pack, and the first curve is a curve of target battery pressure changing over time; The upper cover simulation module is used to perform thermal runaway simulation on the upper cover of the target battery pack according to the first curve.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the battery pack cover thermal runaway simulation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the battery pack upper cover thermal runaway simulation method according to any one of claims 1 to 7 when executed.

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