Strength performance prediction method and device of battery module, equipment, medium and product

Abstract

The invention relates to the technical field of electronics, and discloses a strength performance prediction method, device and equipment of a battery module, a medium and a product. The method comprises the following steps: inputting a first finite element mesh model and a first preset constraint condition into preset simulation software; according to the method, the first finite element mesh model and the second finite element mesh model are stacked, so that the preset simulation software compresses a plurality of buffer structure meshes in the first finite element mesh model by tightening the bandage mesh, the first finite element mesh model is compressed by a preset thickness, and the stacked second finite element mesh model is obtained, and simulation of the battery module in the stacking process is achieved; the second finite element mesh model and a second preset constraint condition are input into preset simulation software to simulate the hoisting working condition of the second finite element mesh model, and the pre-tightening force between the stacked batteries is considered during hoisting working condition simulation; therefore, the shear stress of the determined second finite element mesh model at the target position in the hoisting process is more accurate, and the strength performance prediction of the battery module in the free state is realized.

Description

Technical Field

[0001] The present invention relates to the field of electronic technology, and in particular to a method, device, equipment, medium and product for predicting the strength performance of a battery module. Background Art

[0002] In the actual battery production and transportation process, battery module hoisting is an indispensable operation. Specifically, the battery module can be lifted by the hoisting holes at both ends of the battery module through the hoisting structure to move the battery module. In the battery module design stage, especially for battery modules with a large number of batteries and a large mass, the battery module is fixed in the form of a strapping type with steel on the top and plastic on the bottom. At this time, the fixation between single batteries and between batteries and end plates mainly relies on the adhesive force of glue or the back glue of the buffer structure and the counter pressure generated by the pre-tightening force of the battery stack after the strap is tightened. The friction force formed by these two forces during the battery module lifting process resists the lifting acceleration load of the hoisting structure on the battery module. Conventional battery modules will be assembled with a lower shell and bonded to the lower shell, which provides support for the bottom of the entire battery module, and the mutual displacement caused by the corresponding directional load between batteries is greatly reduced. The role and influence of the pre-tightening force generated by the battery stack can be basically ignored. Therefore, in the related art, when simulating the hoisting condition of the battery module, the direct stacking process and the size of the preload force between the batteries in the battery module are usually not considered.

[0003] However, for the hoisting simulation condition of the battery module in the free state, since there is no lower shell assembled at the bottom of the battery module in the free state, during the lifting process of the battery module, the individual batteries in the battery module will tend to fall, the misalignment trend between the batteries will intensify, and the adhesive backing of the buffer structure between the batteries will show signs of being torn, which may eventually cause the batteries to fall off from the battery module and cause damage to the battery module.

[0004] Therefore, how to realize the simulation of the battery module hoisting condition in the free state to improve the reliability of the prediction of the strength performance of the battery module in the free state is an urgent problem to be solved by technical personnel in this field. Summary of the invention

[0005] In view of this, the present invention provides a method, device, equipment, medium and product for predicting the strength performance of a battery module to solve the problem in the related art that the strength performance prediction of the battery module cannot be well achieved when simulating the lifting condition of the battery module.

[0006] In a first aspect, the present invention provides a method for predicting the strength performance of a battery module, the method comprising: obtaining a first finite element mesh model of the battery module, the first finite element mesh model comprising a strap mesh, a plurality of single cell meshes, an end plate mesh and a plurality of buffer structure meshes, the buffer structure mesh being arranged between the end plate mesh and a single cell mesh adjacent to the end plate mesh, and the buffer structure mesh being also arranged between adjacent single cell meshes; inputting the first finite element mesh model and a first preset constraint condition into a preset simulation software, so that the preset simulation software compresses the plurality of buffer structure meshes in the first finite element mesh model by tightening the strap mesh, so that the first finite element mesh model is compressed by a preset thickness, to simulate the stacking process of the first finite element mesh model, and obtain a second finite element mesh model after stacking; inputting the second finite element mesh model and a second preset constraint condition into the preset simulation software, so that the preset simulation software simulates the hoisting condition of the second finite element mesh model, and obtains the shear stress of the second finite element mesh model at a target position during the hoisting process; if the shear stress at the target position is less than the target preset threshold value, it is determined that the strength performance of the battery module meets the hoisting requirements.

[0007] The strength performance prediction method of the battery module provided by the present invention inputs the first finite element mesh model and the first preset constraint condition into the preset simulation software, so that the preset simulation software compresses the multiple buffer structure meshes in the first finite element mesh model by tightening the strap mesh, so that the first finite element mesh model is compressed by the preset thickness to simulate the stacking process of the first finite element mesh model, and obtains the second finite element mesh model after stacking, thereby realizing the simulation of the battery module in the stacking process. The obtained second finite element mesh model can reflect the preload force between the batteries after stacking. The second finite element mesh model and the second preset constraint condition are input into the preset simulation software to simulate the lifting condition of the second finite element mesh model. When simulating the lifting condition, the preload force between the batteries after stacking is considered, so that the shear stress of the target position of the determined second finite element mesh model during the lifting process is more accurate. Based on the shear stress at the target position, the strength performance prediction of the battery module can be well realized, which solves the problem in the related art that the stacking preload force is not considered when simulating the lifting condition of the battery module, resulting in a large deviation from the actual lifting effect, and the strength performance prediction of the battery module in the free state cannot be well realized.

[0008] In an optional embodiment, the step of obtaining a first finite element mesh model of a battery module includes: constructing an initial finite element mesh model of the battery module, the initial finite element mesh model including two end plate meshes, a plurality of single battery meshes, a plurality of buffer structure meshes, a first strap mesh and a second strap mesh, a buffer structure mesh is provided between the end plate mesh and an adjacent single battery mesh, and between adjacent single battery meshes, the first strap mesh is arranged at a first preset position, and the second strap mesh is arranged at a second preset position; performing symmetrical truncation processing on the initial finite element mesh model to obtain a first mesh sub-model and a second mesh sub-model after truncation; and determining the first finite element mesh model based on the first mesh sub-model or the second mesh sub-model.

[0009] The method provided by this optional implementation manner performs symmetrical truncation processing on the initial finite element mesh model, determines the first finite element mesh model according to the first mesh sub-model or the second mesh sub-model after the truncation processing, and performs subsequent simulation calculations based on the first finite element mesh model. This can not only simplify the model and improve the efficiency of modeling and calculation, but also avoid the asymmetry of the results of the model that is symmetrical during modeling and calculation due to errors during modeling, thereby improving the accuracy of the simulation results.

[0010] In an optional embodiment, the step of determining the first finite element mesh model based on the first mesh sub-model or the second mesh sub-model includes:

[0011] Deleting a preset number of mesh units at the truncated edges of the first and second band meshes in the first mesh sub-model to obtain a third mesh sub-model, and using the third mesh sub-model as the first finite element mesh model; or,

[0012] A preset number of mesh units at the truncated edges of the first and second band meshes in the second mesh sub-model are deleted to obtain a fourth mesh sub-model, and the fourth mesh sub-model is used as the first finite element mesh model.

[0013] The method provided in this optional implementation mode deletes a preset number of mesh units at the truncated edges of the first and second bandage meshes after being truncated in the second mesh sub-model or the first mesh sub-model when determining the first finite element mesh model. Because in the subsequent simulation calculation, all units cannot be moved to the other side of the symmetric boundary, a portion of the mesh units at the truncated edges of the first and second bandage meshes are deleted. On the other hand, in the subsequent stacking simulation, the process of battery stacking and strapping in the production of battery modules is equivalently realized. Because the displacement of the truncated end nodes of the bandage mesh drives the movement of the entire bandage to compress the first finite element mesh model of the battery module, if the entire original center node of the bandage is displaced, the mesh unit at the center of the bandage will bend, deform, and cross due to contraction. Deleting the mesh units at the truncated edges of the bandage mesh can avoid bending, deformation, and crossing of the bandage during the stacking process, making the stacking simulation analysis process more in line with the actual situation.

[0014] In an optional embodiment, the preset first constraint condition includes a symmetric boundary constraint at the symmetric truncation boundary in the first finite element mesh model, a first node degree of freedom constraint at the first band mesh truncation position, and a second node degree of freedom constraint at the second band mesh truncation position. The first node degree of freedom constraint is used to constrain the nodes at the first band mesh truncation position to displace a preset distance in the direction of the symmetric truncation boundary, and the second node degree of freedom constraint is used to constrain the nodes at the second band mesh truncation position to displace a preset distance in the direction of the symmetric truncation boundary.

[0015] In an optional embodiment, the Y direction of the first finite element mesh model is the height direction of the battery module, the Z direction is the length direction of the battery module, and the X direction is the width direction of the battery module. The preset second constraint condition includes the freedom constraints of all nodes at the end plate mesh lifting position in the second finite element mesh model, the third node freedom constraint of the first strap cutoff position, and the fourth node freedom constraint of the second strap cutoff position; the freedom constraints of all nodes at the end plate mesh lifting position are used to constrain all nodes at the end plate mesh lifting position to prevent displacement; the third node freedom constraint is used to constrain the nodes at the first strap mesh cutoff position to prevent displacement in the Z direction and rotation in the X and Y directions; the fourth node freedom constraint is used to constrain the nodes at the second strap mesh cutoff position to prevent displacement in the Z direction and rotation in the X and Y directions.

[0016] In an optional embodiment, the second finite element mesh model and the second preset constraint condition are input into the preset simulation software so that the preset simulation software simulates the lifting condition of the second finite element mesh model, and the step of obtaining the shear stress of the second finite element mesh model at the target position during the lifting process includes: the second finite element mesh model and the second preset constraint condition are input into the preset simulation software so that the preset simulation software simulates the lifting condition of the second finite element mesh model, and outputs the simulation results, the simulation results include the change information of the magnitude of the shear force exerted on each buffer structure mesh of the second finite element mesh model during the lifting process; the shear stress at the target position is determined based on the simulation results, and the target position is the position of the buffer structure subjected to the largest shear force during the lifting process.

[0017] In a second aspect, the present invention provides a strength performance prediction device for a battery module, the device comprising: an acquisition module, used to acquire a first finite element mesh model of the battery module, the first finite element mesh model comprising a strap mesh, a plurality of single cell meshes, an end plate mesh and a plurality of buffer structure meshes, the buffer structure mesh being arranged between the end plate mesh and a single cell mesh adjacent to the end plate mesh, and the buffer structure mesh being also arranged between adjacent single cell meshes; a first simulation module, used to input the first finite element mesh model and a first preset constraint condition into a preset simulation software, so that the preset simulation software compresses the plurality of buffer structure meshes in the first finite element mesh model by tightening the strap mesh, so that the first finite element mesh model is compressed by a preset thickness, to simulate the stacking process of the first finite element mesh model, and obtain a second finite element mesh model after stacking; a second simulation module, used to input the second finite element mesh model and a second preset constraint condition into the preset simulation software, so that the preset simulation software simulates the hoisting condition of the second finite element mesh model, and obtains the shear stress of the second finite element mesh model at a target position during the hoisting process; a determination module, used to determine that the strength performance of the battery module meets the hoisting requirements if the shear stress at the target position is less than a target preset threshold value.

[0018] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, computer instructions are stored in the memory, and the processor executes the strength performance prediction method of the battery module of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0019] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the strength performance prediction method for a battery module of the first aspect or any corresponding embodiment thereof.

[0020] In a fifth aspect, the present invention provides a computer program product, comprising computer instructions for causing a computer to execute the strength performance prediction method for a battery module according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 It is a simulation diagram of the finite element model of a conventional battery pack or battery module;

[0023] Figure 2 It is a simulation diagram of the finite element model of the battery module in a free state;

[0024] Figure 3 is a schematic flow chart of a method for predicting strength performance of a battery module according to an embodiment of the present invention;

[0025] Figure 4 is a schematic flow chart of another method for predicting strength performance of a battery module according to an embodiment of the present invention;

[0026] Figure 5a is a stereogram of the first mesh sub-model obtained after truncation;

[0027] Figure 5b is the main view of the first mesh sub-model obtained after truncation;

[0028] Figure 5c is a side view of the first mesh sub-model obtained after truncation;

[0029] Figure 5d is a top view of the first mesh sub-model obtained after truncation;

[0030] Figure 5e It is a schematic diagram of the local mesh of the boundary after symmetric interception;

[0031] Figure 6 Schematic diagram of symmetric boundary constraints;

[0032] Figure 7 It is a schematic diagram of the node freedom constraint at the truncated positions at the ends of the upper and lower straps;

[0033] Figure 8a It is a cloud diagram of the displacement simulation calculation results of the battery module after the stacking simulation of the first finite element mesh model;

[0034] Figure 8b It is a cloud diagram of the stress simulation calculation results of the battery module after the stacking simulation of the first finite element mesh model;

[0035] Fig. 9 It is a schematic diagram of setting the node freedom constraint in the lifting process simulation;

[0036] Fig.10 Schematic diagram of the correlation curve between the compression thickness of the first finite element mesh model and the preload force on the battery module during the stacking process

[0037] Fig.11a This is the result cloud diagram of the displacement state of the entire battery module after the second finite element mesh model hoisting analysis step is completed;

[0038] Fig.11b This is a cloud diagram of the stress state results of the entire battery module after the second finite element mesh model hoisting analysis step is completed;

[0039] Fig.12 This is a schematic diagram of the change in the shear force on the silicone buffer structure in the height direction after the lifting analysis step is completed;

[0040] Fig.13 is a structural block diagram of a device for predicting strength performance of a battery module according to an embodiment of the present invention;

[0041] Fig.14 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0043] In the prior art, the finite element mesh model of the battery module is as follows: Figure 1As shown, conventional battery modules will be assembled with lower shells. After stacking the battery modules, the long screws that fix the end plates of the battery modules are preloaded and contracted, the battery poles are welded, and the bottom of the battery is glued and bound to the lower shell, etc., to complete the assembly of the lower shell. Since the end plates of the traditional battery modules have been fixed by screws and straps, there are also corresponding connections between the batteries, between the batteries and the end plates, and between the bottom of the batteries and the lower shell. This provides support for the bottom of the entire battery module, and greatly reduces the mutual displacement between the batteries caused by the corresponding directional loads. Therefore, under the constraints of various connections, the role and influence of the preload generated by the battery stacking can be basically ignored. Therefore, the simulation working conditions of conventional battery modules generally do not consider the direct stacking process and preload size between the batteries of the battery module. The finite element simulation model is built by putting on the state where the battery module and other components are fully assembled to the lower shell and the battery module is compressed and then the battery module is strapped. After the model is built, simulation analysis of various mechanical structures is performed. Before the simulation analysis is performed, the positions and connections of the various components of the entire finite element model will not change, and the preload between batteries will not be considered, so that relatively efficient finite element modeling and calculation analysis can be performed to obtain simulation results.

[0044] The finite element mesh model of the battery module in a free state is as follows Figure 2 As shown, the battery module in the free state is that multiple batteries are stacked on each other and a buffer structure is provided between adjacent batteries for bonding and buffering. End plates are provided at both ends of the battery module and lifting holes are provided on the end plates. A buffer structure is provided between the end plates and adjacent batteries. Finally, the end plates and batteries of the battery module are further fixed by straps. During the lifting process, the lifting mechanism fixes the battery module through the lifting holes on the end plates for subsequent movement. Since the bottom of the battery module in the free state is not assembled with a lower shell, during the lifting process of the battery module, each battery in the battery module will tend to fall, which may lead to an aggravated dislocation trend between the batteries, and the adhesive backing of the buffer structure between the batteries is torn, which may eventually cause the battery to fall off from the battery module and cause damage to the battery module.

[0045] In view of this, a strength performance prediction method for a battery module provided in an embodiment of the present application can be applied to a server to realize the strength performance prediction of a battery module in a free state. The method provided in the embodiment of the present application inputs the first finite element mesh model and the first preset constraint condition into the preset simulation software, so that the preset simulation software compresses the multiple buffer structure meshes in the first finite element mesh model by tightening the strap mesh, so that the first finite element mesh model is compressed by the preset thickness to simulate the stacking process of the first finite element mesh model, and obtains the second finite element mesh model after stacking, thereby realizing the simulation of the battery module in the stacking process. The obtained second finite element mesh model can reflect the preload force between the batteries after stacking. The second finite element mesh model and the second preset constraint condition are input into the preset simulation software to simulate the lifting condition of the second finite element mesh model. When simulating the lifting condition, the preload force between the batteries after stacking is considered, so that the shear stress of the target position of the determined second finite element mesh model during the lifting process is more accurate. Based on the shear stress at the target position, the strength performance prediction of the battery module in the free state can be well realized, which solves the problem in the related art that the stacking preload force is not considered when simulating the battery module lifting condition, resulting in a large deviation from the actual lifting effect and the inability to well realize the strength performance prediction of the battery module in the free state.

[0046] According to an embodiment of the present invention, an embodiment of a method for predicting the strength performance of a battery module 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 a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0047] In this embodiment, a method for predicting the strength performance of a battery module is provided, which can be used for the above-mentioned server. Figure 3 is a flow chart of a method for predicting strength performance of a battery module according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0048] Step S301, obtaining a first finite element mesh model of a battery module.

[0049] Exemplarily, in an embodiment of the present application, the first finite element mesh model is a simulation model of a battery module constructed by finite element analysis software. The first finite element mesh model is constructed with the Y direction of the battery module as the height direction of the battery module, the Z direction as the length direction of the battery module, and the X direction as the width direction of the battery module. The first finite element mesh model includes a strap mesh, a plurality of single battery meshes, an end plate mesh, and a plurality of buffer structure meshes. The buffer structure mesh is arranged between the end plate mesh and the single battery mesh adjacent to the end plate mesh, and the buffer structure mesh is also arranged between adjacent single battery meshes. The strap mesh of the first finite element mesh model is in an untightened state.

[0050] Step S302, inputting the first finite element mesh model and the first preset constraint condition into the preset simulation software, so that the preset simulation software compresses the multiple buffer structure meshes in the first finite element mesh model by tightening the strap mesh, so that the first finite element mesh model is compressed by a preset thickness to simulate the stacking process of the first finite element mesh model, and obtain the stacked second finite element mesh model.

[0051] Exemplarily, the first preset constraint condition is determined based on the force characteristics of each position of the battery module during the stacking process. In the embodiment of the present application, the first finite element mesh model and the first preset constraint condition are input into the preset simulation software. The preset simulation software will control the displacement of the strap mesh in the preset direction based on the first preset constraint condition. Since the end plate mesh and the single battery mesh do not undergo obvious deformation, only the position movement occurs, which in turn drives the end plate mesh and the single battery mesh to move a preset distance, so that each buffer structure mesh is compressed, and then the first finite element mesh model is compressed by a preset thickness, thereby realizing the simulation of the battery stacking process. The embodiment of the present application does not impose specific restrictions on the preset simulation software, as long as it can realize the simulation calculation of different working conditions of the battery module.

[0052] Step S303, inputting the second finite element mesh model and the second preset constraint condition into the preset simulation software, so that the preset simulation software simulates the hoisting condition of the second finite element mesh model to obtain the shear stress of the second finite element mesh model at the target position during the hoisting process.

[0053] Exemplarily, the second preset constraint condition is determined based on the force characteristics of each position of the battery module during the hoisting process. In the embodiment of the present application, the second finite element mesh model and the second preset constraint condition are input into the preset simulation software, and the preset simulation software will simulate the hoisting condition of the battery module in the stacked state. When simulating the hoisting condition in the stacked state, the end plate mesh hoisting position is directly constrained not to deform, and the entire second finite element mesh model is applied in the form of a certain gravity acceleration load in a preset direction to achieve the simulation of the hoisting condition. In the embodiment of the present application, a load of 2 times the gravity acceleration is applied to the second finite element mesh model in the -Y direction as an example. The second finite element mesh model is used to characterize the battery module in the stacked state. At this time, when the gravity acceleration is applied to the battery module, the batteries of the battery module and the batteries and the end plates are in a compressed state, and the straps and the end plates are also in a contact and tensioned state. There are pressures and frictions in various directions between the components. Based on the above battery module state, an equivalent hoisting condition simulation is performed. The shear stress at the target position may include but is not limited to the shear stress of the buffer structure close to the end plate side. Generally, the shear stress on the buffer structure close to the end plate side is the largest among all the buffer structures in the battery module.

[0054] Step S304: If the shear stress at the target position is less than the target preset threshold, it is determined that the strength performance of the battery module meets the hoisting requirements.

[0055] Exemplarily, the target preset threshold value may be the material shear strength value of the material used at the target position, and the material shear strength value is used to characterize the shear strength of the material at the target position itself. When the shear stress at the target position is less than the target preset threshold value, the strength performance of the battery module meets the lifting requirements. The target position may be the location of any buffer structure in the battery module. If the materials used for the buffer structures in the battery module are consistent, the target preset threshold value is the same value. If the materials used for the buffer structures in the battery module are inconsistent, the target preset threshold value may be determined based on the material shear strength value of the buffer structure at the target position, and the target preset threshold value is less than or equal to the material shear strength value of the buffer structure at the target position.

[0056] The strength performance prediction method of the battery module provided in this embodiment inputs the first finite element mesh model and the first preset constraint condition into the preset simulation software, so that the preset simulation software compresses the multiple buffer structure meshes in the first finite element mesh model by tightening the strap mesh, so that the first finite element mesh model is compressed by the preset thickness to simulate the stacking process of the first finite element mesh model, and obtains the second finite element mesh model after stacking, thereby realizing the simulation of the battery module in the stacking process. The obtained second finite element mesh model can reflect the preload force between the batteries after stacking. The second finite element mesh model and the second preset constraint condition are input into the preset simulation software to simulate the lifting condition of the second finite element mesh model. When simulating the lifting condition, the preload force between the batteries after stacking is considered, so that the shear stress of the target position of the determined second finite element mesh model during the lifting process is more accurate. Based on the shear stress at the target position, the strength performance prediction of the battery module in the free state can be well realized, which solves the problem in the related art that the stacking preload force is not considered when simulating the lifting condition of the battery module, resulting in a large deviation from the actual lifting effect, and the strength performance prediction of the battery module in the free state cannot be well realized.

[0057] In this embodiment, a method for predicting the strength performance of a battery module is provided, which can be used for the above-mentioned server. Figure 4 is a flow chart of a method for predicting strength performance of a battery module according to an embodiment of the present invention. Figure 4 As shown, the process includes the following steps:

[0058] Step 401, obtain a first finite element mesh model of the battery module, the first finite element mesh model includes a strap mesh, multiple single battery meshes, an end plate mesh, and multiple buffer structure meshes, the buffer structure mesh is arranged between the end plate mesh and the single battery mesh adjacent to the end plate mesh, and the buffer structure mesh is also arranged between adjacent single battery meshes. For details, please refer to Figure 1 Step S301 of the illustrated embodiment will not be described in detail here.

[0059] Specifically, the above step S401 includes:

[0060] Step S4011, constructing an initial finite element mesh model of the battery module, the initial finite element mesh model includes two end plate meshes, multiple single battery meshes, multiple buffer structure meshes, a first strap mesh and a second strap mesh, the buffer structure meshes are arranged between the end plate meshes and adjacent single battery meshes, and between adjacent single battery meshes, the first strap mesh is arranged at a first preset position, and the second strap mesh is arranged at a second preset position.

[0061] For example, the initial finite element mesh model is a finite element analysis model of the battery module in a free state. The simulation diagram of the finite element analysis model of the battery module in a free state can be found in the above Figure 2 , the direction of the green arrow is the Y direction, the direction of the red arrow indicates the X direction, and the purple arrow indicates the Z direction. In the embodiment of the present application, the first strap grid may be the grid of the upper strap, and the second strap grid may be the grid of the lower strap. The first strap grid and the second strap grid are set in different positions. The upper strap is a steel strap, and the lower strap is a plastic strap. In the embodiment of the present application, taking a battery module designed with 22 single batteries with upper steel and lower plastic straps as an example, the grids are divided according to the digital model of the battery module corresponding to each component, and the position of each component is adjusted to the battery module before stacking, that is, the buffer structure between the batteries is the initial thickness, and the battery module is the length before compression. The initial finite element mesh model includes two end plate meshes, and a buffer structure mesh is arranged between each end plate mesh and the adjacent single battery mesh.

[0062] Step S4012, symmetrically truncate the initial finite element mesh model to obtain a first mesh sub-model and a second mesh sub-model after truncation.

[0063] For example, in the embodiment of the present application, the initial finite element mesh model is truncated symmetrically, that is, the initial finite element mesh model of the battery module is truncated at the half position of the middle buffer structure, and the first mesh sub-model and the second mesh sub-model are obtained after truncation, wherein the stereogram of the first mesh sub-model can be as follows: Figure 5a As shown, the main view is Figure 5b As shown, the side view is Figure 5c As shown, the top view is Figure 5d As shown. Figure 5b As shown in the figure, the buffer structure contained in the battery module corresponding to the first grid sub-model is made of different materials. For example, the buffer structure between the end plate and the single battery is composed of a porous foam material (Microcellular Polypropylene foam, MPP) and a polycarbonate (PC) sheet, and the buffer structure between the single batteries alternately uses a silicone cushion and an aerogel plus a back-type rubber frame cushion. The buffer structure in the middle is symmetrically cut off at the initial finite element grid model. After cutting off, its thickness is half of the original. The local grid diagram of the boundary after symmetrical cutting is shown in the figure. Figure 5e shown.

[0064] Step S4013: determine a first finite element mesh model based on the first mesh sub-model or the second mesh sub-model.

[0065] Exemplarily, for the initial finite element mesh model after symmetrical truncation processing, half of the mesh model is deleted and the remaining half of the mesh model is left, and the first finite element mesh model is determined based on the remaining half of the mesh model. In the embodiment of the present application, an example of determining the first finite element mesh model based on the first mesh sub-model is used as an example for exemplary description. For the first mesh sub-model, the connection relationship and material properties between the components are set to obtain the first finite element mesh model. The components in the first mesh sub-model include an end plate mesh, a strap mesh, a buffer structure mesh, and a single battery mesh. The connection relationship between the end plate mesh, the strap mesh, the buffer structure mesh, and the single battery mesh is set. For specific connection relationships, please refer to Figure 5a to Figure 5d , contact is set between the upper and lower straps and the end plates. Set the material properties of each component, among which the elastic modulus of the buffer structure is very small. Taking the buffer structure grid as an example, the elastic modulus of the aerogel is set to 2.7MPa, the initial thickness is 5mm, and the thickness after compression is 4mm according to the theoretical calculation during the battery module design. At the same time, the preload force between the batteries is 4kN. Therefore, the force between the batteries calculated in the subsequent simulation of the battery stacking should be basically consistent with this 4kN.

[0066] In some optional implementations, the above step S4013 includes:

[0067] Step a1, deleting a preset number of mesh units at the truncated edges of the first and second band meshes in the first mesh sub-model to obtain a third mesh sub-model, and using the third mesh sub-model as the first finite element mesh model.

[0068] Or it includes step a2, deleting a preset number of grid units at the truncated edges of the first and second band meshes in the second grid sub-model to obtain a fourth grid sub-model, and using the fourth grid sub-model as the first finite element grid model.

[0069] Exemplarily, the preset number can be determined based on actual needs, wherein the mesh length deleted from the first band mesh and the second band mesh is greater than or equal to the compression thickness of the first finite element mesh model. In an embodiment of the present application, a portion of the mesh units at the ends of the upper and lower bands in the first mesh sub-model are deleted, and then the first finite element mesh model is determined. The method provided by this optional implementation deletes a preset number of mesh units at the truncated edges of the first and second bands in the second mesh sub-model or the first mesh sub-model when determining the first finite element mesh model, because in the subsequent simulation process, the first and second bands are in contact with the end plate and achieve compression of the battery module by moving away from the end plate. Therefore, in order to ensure normal calculation, all mesh units cannot be moved to the other side of the symmetry boundary, so a portion of the mesh units at the truncated edges of the first and second bands are deleted to avoid calculation errors.

[0070] Step S402, inputting the first finite element mesh model and the first preset constraint condition into the preset simulation software, so that the preset simulation software compresses the multiple buffer structure meshes in the first finite element mesh model by tightening the strap mesh, so that the first finite element mesh model is compressed by a preset thickness to simulate the stacking process of the first finite element mesh model, and obtain the stacked second finite element mesh model.

[0071] In some optional embodiments, the preset first constraint condition includes a symmetric boundary constraint at the symmetric truncation boundary in the first finite element mesh model, a first node degree of freedom constraint at the first strap truncation position, and a second node degree of freedom constraint at the second strap truncation position. The first node degree of freedom constraint is used to constrain the nodes at the first strap mesh truncation position to displace a preset distance in the direction of the symmetric truncation boundary, and the second node degree of freedom constraint is used to constrain the nodes at the second strap mesh truncation position to displace a preset distance in the direction of the symmetric truncation boundary.

[0072] For example, the preset distance may include but is not limited to 7.75 mm. The specific content of the preset distance is not limited in the present embodiment, as long as the stacking simulation of the first finite element mesh model can be realized. In the present embodiment, the symmetric boundary constraint is used to constrain the degrees of freedom of all nodes on the symmetric interface in the remaining half of the buffer structure mesh. The schematic diagram of the symmetric boundary constraint is shown in FIG. Figure 6 As shown, the constrained nodes have corresponding triangular statistical process control (SPC) constraint icons displayed, and the node freedom constraint type selects ZSYMM, which represents a symmetric boundary condition. Specifically, ZSYMM means that the symmetry plane is a plane perpendicular to coordinate axis 3 (i.e., Z axis). This type of constraint means that the first finite element mesh model is symmetrically constrained according to the normal plane corresponding to the Z coordinate axis, and the freedom constraints of the nodes at the symmetrical truncation boundary are U3 (displacement in the Z direction) = UR1 (rotational freedom in the X direction) = UR2 (rotational freedom in the Y direction) = 0, that is, the freedom of these nodes is constrained to DOF345. The prerequisite for such symmetrical model processing is that the models on both sides of the symmetrical interface of the finite element model are completely symmetrical and are subject to exactly the same loads; the advantage of simultaneous symmetrical processing is that only half of the finite element model is required for modeling and calculation, and the results of the other half are exactly the same. This can not only simplify the model and improve the efficiency of modeling and calculation, but also avoid the asymmetry of the results of the model that is symmetrical during modeling and calculation due to errors during modeling, thereby improving the accuracy of the simulation results.

[0073] The first node degree of freedom constraint is the same as the second node degree of freedom constraint, such as Figure 7As shown, the node degrees of freedom DOF3 at the truncated ends of the upper and lower straps are applied with a displacement of 7.75 mm in the -Z direction (i.e., half of the length change of the entire battery module stack before and after compression), and at the same time, the node degrees of freedom DOF12456 at these positions are constrained (translation in the X and Y directions, rotation in the XYZ directions) to prevent offset movement in other directions during the displacement process. The settings of the first node degree of freedom constraint and the second node degree of freedom constraint only last until the end of the stacking simulation calculation. The symmetric boundary constraints will always be maintained in subsequent simulation analysis steps. After the first finite element mesh model stacking simulation, the cloud chart of the battery module displacement simulation calculation results can be seen Figure 8a The cloud diagram of the battery module stress simulation calculation results can be found in Figure 8b In the embodiment of the present application, when the first finite element mesh model is compressed by 7.75 mm, the preload force of the aerogel buffer structure between the end plate mesh and the battery mesh is 4224.7 N.

[0074] Step S403, inputting the second finite element mesh model and the second preset constraint condition into the preset simulation software, so that the preset simulation software simulates the hoisting condition of the second finite element mesh model to obtain the shear stress of the second finite element mesh model at the target position during the hoisting process.

[0075] Specifically, the above step S403 includes:

[0076] Step S4031, the second finite element mesh model and the second preset constraint condition are input into the preset simulation software, so that the preset simulation software simulates the hoisting condition of the second finite element mesh model and outputs the simulation results, which include the information on the change in the magnitude of the shear force exerted on each buffer structure of the second finite element mesh model during the hoisting process.

[0077] In some optional embodiments, the Y direction of the first finite element mesh model is the height direction of the battery module, the Z direction is the length direction of the battery module, and the X direction is the width direction of the battery module. The preset second constraint condition includes the freedom constraints of all nodes at the end plate mesh lifting position in the second finite element mesh model, the third node freedom constraint of the first strap mesh cutoff position, and the fourth node freedom constraint of the second strap mesh cutoff position; the freedom constraints of all nodes at the end plate mesh lifting position are used to constrain all nodes at the end plate mesh lifting position to prevent displacement; the third node freedom constraint is used to constrain the nodes at the first strap mesh cutoff position to prevent displacement in the Z direction and rotation in the X and Y directions; the fourth node freedom constraint is used to constrain the nodes at the second strap mesh cutoff position to prevent displacement in the Z direction and rotation in the X and Y directions.

[0078] Exemplarily, in an embodiment of the present application, based on the state of the battery module after stacking and compression in the previous step, the simulation of the equivalent working condition of hoisting the battery module is realized. It is also necessary to set symmetric boundary constraints to simulate the hoisting working condition of the second finite element mesh model. The third node degree of freedom constraint is the same as the fourth node degree of freedom constraint. The third node degree of freedom constraint or the fourth node degree of freedom constraint is used to control the second finite element mesh model to keep the binding mesh taut and symmetrically constrained after stacking is completed in the hoisting working condition simulation. The schematic diagram of the node degree of freedom constraint setting in the hoisting process simulation is shown in Fig. 9 As shown in the figure, taking the end plate hoisting position as the hoisting hole as an example, the gravity acceleration is applied downward in the hoisting direction (-Y direction), and all the nodes of the hoisting hole of the end plate are constrained not to be displaced, that is, all the node degrees of freedom DOF123 on the hoisting hole of the battery module end plate are constrained. At the same time, the node degrees of freedom of the strap constraint position during the stacking simulation analysis are changed to DOF345. The strap cannot be displaced in the Z direction and cannot be rotated in the X and Y directions (that is, the strap is kept tight and symmetrically constrained after the stacking is completed).

[0079] Step S4032, determining the shear stress at the target position based on the simulation result, where the target position is the position of the buffer structure that is subjected to the maximum shear stress during the lifting process.

[0080] Exemplarily, during the simulation process, the embodiment of the present application sets and outputs the field variables and historical variables involved in the first finite element mesh model to facilitate observation of the test results of the first finite element mesh model, wherein the field variables may include but are not limited to: displacement U, stress equivalent value Mises, stress S and equivalent plastic deformation PEEQ, etc.; historical variables include: contact force between the upper and lower straps and the end plates, displacement of the constraint points at the ends of the straps, contact force between each buffer structure and the battery, etc. After all other relevant settings corresponding to this simulation have been adjusted, the calculation can be submitted. The calculation will be performed sequentially according to the analysis steps set previously, and the model state of each step is based on the continuation state at the end of the previous analysis step calculation. After the calculation is completed, the result file is opened in the finite element post-processing software to display and observe the relevant results, and perform a risk assessment of the structure for this simulation settlement. Based on the above Figure 8a and Figure 8b , calculate the compressive deformation of the buffer structure and the size of the stacking preload after the stacking analysis step is completed. Fig.10 It is used to characterize the relationship between the compressed thickness of the first finite element mesh model in the stacking simulation and the preload force on the buffer structure between the end plate mesh and the battery mesh. Fig.10It can be determined that the battery module is affected by the stacking extrusion at this time, the buffer structure between the batteries is compressed and deformed significantly, and the stacking preload between the batteries is gradually increasing. Finally, when the stacking is completed, the stacking preload is 4.2277kN, which is basically consistent with the theoretical calculation of 4kN. Therefore, the results of the stacking analysis step in this simulation are in line with expectations. Fig.11a and Fig.11b They are the displacement and stress state result cloud diagrams of the entire mesh model after the second finite element mesh model hoisting simulation analysis is completed. It is concluded that the maximum height difference between the edge battery and the bottom of the middle battery at the moment of hoisting is 6.40785m. Fig.12 The figure shows the change in the magnitude of the shear force on the silicone buffer structure in the height direction after the battery module hoisting analysis step is completed. The changes in the magnitude of the shear force on the buffer structure from close to the end plate to far from the end plate during the hoisting condition are curves A, B, C, D, E and F respectively. It can be seen that the shear force on the buffer structure close to the end plate is the largest, with a force value of 633.235N. Because the battery module has an even number of batteries, the falling lengths of the two batteries in the middle of the battery module are the same during hoisting. There is no mutual displacement between the two batteries, so the shear force on the buffer structure in the height direction on the symmetrical boundary is 0N. According to the relevant calculation formula, the shear stress is calculated by the shear force ratio cross-sectional area. The unit of shear stress is MPA. The shear stress of the buffer structure near the end plate side is: 633.235 / 6980=0.09MPa<2.27MPa (the material shear strength of the buffer structure near the end plate side), that is, the maximum shear stress of the buffer structure of the entire battery module during hoisting is less than the shear strength of its own material. Therefore, the buffer structure between the batteries will not tear during hoisting, and the battery module batteries will not fall off due to hoisting. Therefore, according to the simulation results of this time, it is judged that there is no risk of damage to the battery module structure during hoisting of the battery module.

[0081] Step S404: If the shear stress at the target position is less than the target preset threshold, it is determined that the strength performance of the battery module meets the hoisting requirements. Figure 1 Step S304 of the illustrated embodiment will not be described in detail here.

[0082] In this embodiment, a strength performance prediction device for a battery module is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be repeated here. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0083] This embodiment provides a battery module strength performance prediction device, such as Fig.13 As shown, including:

[0084] An acquisition module 1301 is used to acquire a first finite element mesh model of a battery module, wherein the first finite element mesh model includes a strap mesh, a plurality of single battery meshes, an end plate mesh, and a plurality of buffer structure meshes, wherein the buffer structure mesh is arranged between the end plate mesh and a single battery mesh adjacent to the end plate mesh, and the buffer structure mesh is also arranged between adjacent single battery meshes;

[0085] The first simulation module 1302 is used to input the first finite element mesh model and the first preset constraint condition into the preset simulation software, so that the preset simulation software compresses the multiple buffer structure meshes in the first finite element mesh model by tightening the binding mesh, so that the first finite element mesh model is compressed by a preset thickness, so as to simulate the stacking process of the first finite element mesh model and obtain the stacked second finite element mesh model;

[0086] The second simulation module 1303 is used to input the second finite element mesh model and the second preset constraint condition into the preset simulation software, so that the preset simulation software simulates the hoisting condition of the second finite element mesh model to obtain the shear stress of the second finite element mesh model at the target position during the hoisting process;

[0087] The determination module 1304 is used to determine whether the strength performance of the battery module meets the hoisting requirements if the shear stress at the target position is less than the target preset threshold.

[0088] In some optional implementations, the acquisition module 1301 includes:

[0089] A construction submodule is used to construct an initial finite element mesh model of a battery module, wherein the initial finite element mesh model includes two end plate meshes, a plurality of single battery meshes, a plurality of buffer structure meshes, a first binding mesh and a second binding mesh, wherein a buffer structure mesh is provided between the end plate mesh and an adjacent single battery mesh, and between adjacent single battery meshes, the first binding mesh is provided at a first preset position, and the second binding mesh is provided at a second preset position;

[0090] A processing submodule, used for performing symmetrical truncation processing on the initial finite element mesh model to obtain a first mesh submodel and a second mesh submodel after truncation processing;

[0091] The first determining submodule is used to determine the first finite element mesh model based on the first mesh submodel or the second mesh submodel.

[0092] In some optional implementations, the first determining submodule includes:

[0093] A first determining unit is used to delete a preset number of mesh units at the truncated edges of the first and second band meshes in the first mesh sub-model to obtain a third mesh sub-model, and use the third mesh sub-model as the first finite element mesh model; or

[0094] The second determining unit is used to delete a preset number of mesh units at the truncated edges of the first and second band meshes in the second mesh sub-model to obtain a fourth mesh sub-model, and use the fourth mesh sub-model as the first finite element mesh model.

[0095] In some optional embodiments, the preset first constraint condition includes a symmetric boundary constraint at the symmetric truncation boundary in the first finite element mesh model, a first node degree of freedom constraint at the first band mesh truncation position, and a second node degree of freedom constraint at the second band mesh truncation position. The first node degree of freedom constraint is used to constrain the nodes at the first band mesh truncation position to displace a preset distance in the direction of the symmetric truncation boundary, and the second node degree of freedom constraint is used to constrain the nodes at the second band mesh truncation position to displace a preset distance in the direction of the symmetric truncation boundary.

[0096] In some optional embodiments, the Y direction of the first finite element mesh model is the height direction of the battery module, the Z direction is the length direction of the battery module, and the X direction is the width direction of the battery module. The preset second constraint condition includes the freedom constraints of all nodes at the end plate mesh lifting position in the second finite element mesh model, the third node freedom constraint of the first strap mesh cutoff position, and the fourth node freedom constraint of the second strap mesh cutoff position; the freedom constraints of all nodes at the end plate mesh lifting position are used to constrain all nodes at the end plate mesh lifting position to prevent displacement; the third node freedom constraint is used to constrain the nodes at the first strap mesh cutoff position to prevent displacement in the Z direction and rotation in the X and Y directions; the fourth node freedom constraint is used to constrain the nodes at the second strap mesh cutoff position to prevent displacement in the Z direction and rotation in the X and Y directions.

[0097] In some optional implementations, the second simulation module 1303 includes:

[0098] A simulation submodule, used for inputting the second finite element mesh model and the second preset constraint condition into the preset simulation software, so that the preset simulation software simulates the hoisting condition of the second finite element mesh model and outputs the simulation result, wherein the simulation result includes the magnitude change information of the shear force on each buffer structure mesh of the second finite element mesh model during the hoisting process;

[0099] The second determination submodule is used to determine the shear stress at the target position based on the simulation results. The target position is the position of the buffer structure that is subjected to the maximum shear stress during the lifting process.

[0100] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0101] The strength performance prediction device of the battery module in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0102] The embodiment of the present invention also provides a computer device having the above Fig.13 The strength performance prediction device of the battery module shown.

[0103] See also Fig.14 , Fig.14 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Fig.14 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Fig.14 A processor 10 is taken as an example.

[0104] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0105] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0106] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via 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.

[0107] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0108] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0109] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0110] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0111] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for predicting the strength performance of a battery module, characterized in that: The method comprises: Acquire a first finite element mesh model of the battery module, wherein the first finite element mesh model includes a strap mesh, a plurality of single battery meshes, an end plate mesh, and a plurality of buffer structure meshes, wherein the buffer structure mesh is arranged between the end plate mesh and a single battery mesh adjacent to the end plate mesh, and the buffer structure mesh is also arranged between adjacent single battery meshes; Inputting the first finite element mesh model and the first preset constraint condition into a preset simulation software, so that the preset simulation software compresses the multiple buffer structure meshes in the first finite element mesh model by tightening the strap mesh, so that the first finite element mesh model is compressed by a preset thickness, to simulate the stacking process of the first finite element mesh model, and obtain a stacked second finite element mesh model; Inputting the second finite element mesh model and the second preset constraint condition into the preset simulation software, so that the preset simulation software simulates the hoisting condition of the second finite element mesh model to obtain the shear stress of the second finite element mesh model at the target position during the hoisting process; If the shear stress at the target position is less than a target preset threshold, it is determined that the strength performance of the battery module meets the lifting requirements.

2. The method according to claim 1, characterized in that The step of obtaining a first finite element mesh model of the battery module includes: Constructing an initial finite element mesh model of a battery module, the initial finite element mesh model comprising two end plate meshes, a plurality of single battery meshes, a plurality of buffer structure meshes, a first binding mesh and a second binding mesh, wherein the buffer structure mesh is disposed between the end plate mesh and an adjacent single battery mesh and between adjacent single battery meshes, the first binding mesh is disposed at a first preset position, and the second binding mesh is disposed at a second preset position; Performing symmetrical truncation processing on the initial finite element mesh model to obtain a first mesh sub-model and a second mesh sub-model after truncation processing; The first finite element mesh model is determined based on the first mesh sub-model or the second mesh sub-model.

3. The method according to claim 2, characterized in that The step of determining the first finite element mesh model based on the first mesh sub-model or the second mesh sub-model comprises: Deleting a preset number of mesh units at the truncated edges of the first and second truncated band meshes in the first mesh sub-model to obtain a third mesh sub-model, and using the third mesh sub-model as the first finite element mesh model; or, A preset number of mesh units at the truncated edges of the first and second band meshes in the second mesh sub-model are deleted to obtain a fourth mesh sub-model, and the fourth mesh sub-model is used as the first finite element mesh model.

4. The method according to claim 2 or 3, characterized in that: The preset first constraint condition includes a symmetric boundary constraint at the symmetric truncation boundary in the first finite element mesh model, a first node degree of freedom constraint at the first band mesh truncation position, and a second node degree of freedom constraint at the second band mesh truncation position. The first node degree of freedom constraint is used to constrain the nodes at the first band mesh truncation position to displace a preset distance in the direction of the symmetric truncation boundary, and the second node degree of freedom constraint is used to constrain the nodes at the second band mesh truncation position to displace a preset distance in the direction of the symmetric truncation boundary.

5. The method according to claim 2 or 3, characterized in that: The Y direction of the first finite element mesh model is the height direction of the battery module, the Z direction is the length direction of the battery module, and the X direction is the width direction of the battery module. The preset second constraint condition includes the freedom degree constraints of all nodes at the end plate mesh hoisting position in the second finite element mesh model, the third node freedom degree constraints at the first strap mesh cutoff position, and the fourth node freedom degree constraints at the second strap mesh cutoff position; the freedom degree constraints of all nodes at the end plate mesh hoisting position are used to constrain all nodes at the end plate mesh hoisting position to not be displaced; the third node freedom degree constraint is used to constrain the nodes at the first strap mesh cutoff position to not be displaced in the Z direction and not be rotated in the X and Y directions; the fourth node freedom degree constraint is used to constrain the nodes at the second strap mesh cutoff position to not be displaced in the Z direction and not be rotated in the X and Y directions.

6. The method according to any one of claims 1 to 3, characterized in that: The step of inputting the second finite element mesh model and the second preset constraint condition into the preset simulation software so that the preset simulation software simulates the hoisting condition of the second finite element mesh model to obtain the shear stress of the second finite element mesh model at the target position during the hoisting process includes: Inputting the second finite element mesh model and the second preset constraint condition into the preset simulation software, so that the preset simulation software simulates the hoisting condition of the second finite element mesh model and outputs the simulation result, wherein the simulation result includes the magnitude change information of the shear force on each buffer structure mesh of the second finite element mesh model during the hoisting process; The shear stress at the target position is determined based on the simulation result, and the target position is the position where the buffer structure subjected to the maximum shear stress during the lifting process is located.

7. A device for predicting the strength performance of a battery module, characterized in that: The device comprises: an acquisition module, configured to acquire a first finite element mesh model of the battery module, wherein the first finite element mesh model includes a strap mesh, a plurality of single battery meshes, an end plate mesh, and a plurality of buffer structure meshes, wherein the buffer structure mesh is arranged between the end plate mesh and a single battery mesh adjacent to the end plate mesh, and the buffer structure mesh is also arranged between adjacent single battery meshes; A first simulation module, used for inputting the first finite element mesh model and the first preset constraint condition into a preset simulation software, so that the preset simulation software compresses the plurality of buffer structure meshes in the first finite element mesh model by tightening the binding mesh, so that the first finite element mesh model is compressed by a preset thickness, so as to simulate the stacking process of the first finite element mesh model and obtain a stacked second finite element mesh model; A second simulation module is used to input the second finite element mesh model and the second preset constraint condition into the preset simulation software, so that the preset simulation software simulates the hoisting condition of the second finite element mesh model to obtain the shear stress of the second finite element mesh model at the target position during the hoisting process; The determination module is used to determine whether the strength performance of the battery module meets the lifting requirements if the shear stress at the target position is less than a target preset threshold.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the strength performance prediction method of the battery module according to any one of claims 1 to 6 by executing the computer instructions.

9. 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 computer to execute the strength performance prediction method of a battery module according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the strength performance prediction method of a battery module according to any one of claims 1 to 6.

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