Vibration impact tool simulation optimization method and device, electronic equipment and storage medium

Abstract

The invention discloses a vibration impact tool simulation optimization method and device, electronic equipment and a storage medium, and belongs to the technical field of battery pack testing. The method comprises the following steps: establishing a CAE model of a vibration impact tool and a CAE model of a battery pack; establishing a first connection relationship between a CAE model of the vibration impact tool and a CAE model of the battery pack based on a first installation mode of the vibration impact tool and the battery pack on the vibration impact test bed, and generating a first connection model; calculating a first constraint mode of the battery pack and the vibration impact tool for the first connection model; according to a first strain energy simulation result included in the first constraint mode, determining a to-be-optimized area of a CAE model of the vibration impact tool; the to-be-optimized area of the CAE model of the vibration impact tool is optimized, a target model is obtained, and the target model is the optimized CAE model of the vibration impact tool. Due to the fact that the mass of the optimized vibration impact tool is smaller, time and cost are saved when the vibration impact tool conducts direction conversion.

Description

Technical Field

[0001] The present invention belongs to the technical field of battery pack testing, and particularly relates to a vibration and shock tooling simulation optimization method, device, electronic device, and storage medium. Background Art

[0002] As the power source of new energy vehicles, the mechanical structure stability of the battery pack directly affects the driving performance of new energy vehicles. Therefore, before installing the battery pack into a new energy vehicle, it is necessary to conduct vibration and shock tests on the battery pack to test the mechanical structure strength and fatigue life of the battery pack.

[0003] As an intermediate device between the battery pack and the vibration and shock test bench, the vibration and shock tooling has disadvantages such as large mass and redundant material design. When conducting vibration and shock tests, the vibration and shock tooling needs to be tested in three directions of X, Y, and Z. At this time, due to the large mass of the vibration and shock tooling, problems such as difficult adjustment of the vibration and shock tooling direction will occur. In addition, for some vibration and shock test benches, due to the too large mass of the vibration and shock tooling and the relatively large mass of the battery pack, the vibration and shock test bench cannot be used. Summary of the Invention

[0004] To solve the above problems, embodiments of the present invention provide a vibration and shock tooling simulation optimization method, device, electronic device, and storage medium.

[0005] In a first aspect, embodiments of the present invention provide a vibration and shock tooling simulation optimization method, including:

[0006] Establish a computer-aided engineering (CAE) model of the vibration and shock tooling and a CAE model of the battery pack, where the vibration and shock tooling is an intermediate device between the battery pack and the vibration and shock test bench;

[0007] Based on a first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, establish a first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack, and generate a first connection model;

[0008] Calculate a first constrained mode of the battery pack and the vibration and shock tooling for the first connection model, where the first constrained mode includes a first strain energy simulation result;

[0009] Determine a region to be optimized of the CAE model of the vibration and shock tooling according to the first strain energy simulation result;

[0010] Optimize the region to be optimized of the CAE model of the vibration and shock tooling to obtain a target model, where the target model is the CAE model of the optimized vibration and shock tooling.

[0011] In a possible implementation, establishing the CAE model of the vibration and shock tooling and the CAE model of the battery pack includes:

[0012] Obtain the first geometric model of the vibration and shock tooling;

[0013] Perform mesh division on the first geometric model using volume elements to obtain a plurality of first meshes;

[0014] Configure material properties for the plurality of first meshes to obtain the CAE model of the vibration and shock tooling;

[0015] Establish the CAE model of the battery pack.

[0016] In a possible implementation, based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, establishing the first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack to generate a first connection model includes:

[0017] Based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, perform bolt connection on the CAE model of the vibration and shock tooling and the CAE model of the battery pack to generate a first connection model.

[0018] In a possible implementation, calculating the first constrained mode of the battery pack and the vibration and shock tooling for the first connection model includes:

[0019] On the basis of the first connection relationship, constrain each installation point where the vibration and shock tooling is connected to the vibration and shock test bench;

[0020] Set the solution method of the constrained mode to solve the first constrained mode of the first 100 Hz;

[0021] By solving [K], [M], ω, and {φ} in the following formula, determine the first constrained mode of the battery pack and the vibration and shock tooling at the first 100 Hz:

[0022] [K]{φ} = ω^2[M]{φ}

[0023] Where [K] is the stiffness matrix, used to characterize the stiffness characteristics of the structure of the vibration and shock tooling, [M] is the mass matrix, used to characterize the mass distribution of the structure of the vibration and shock tooling, ω is the natural frequency, different natural frequencies correspond to different first constrained modes, and {φ} is the mode vector, used to characterize the vibration modes of the battery pack and the vibration and shock tooling.

[0024] In a possible implementation, the area to be optimized includes a first area to be optimized;

[0025] Determining the first area to be optimized of the CAE model of the vibration and shock tooling according to the first strain energy simulation result includes:

[0026] According to the first strain energy simulation result, determining a first target area as the first area to be optimized, where the first target area is an area in the CAE model of the vibration and shock tooling where the strain energy is less than a first preset threshold.

[0027] In a possible implementation, the area to be optimized further includes a second area to be optimized;

[0028] The method further includes:

[0029] According to the first strain energy simulation result, determining a second target area as the second area to be optimized, where the second target area is an area in the CAE model of the vibration and shock tooling where the strain energy is greater than a second preset threshold, and the second preset threshold is greater than the first preset threshold.

[0030] In a possible implementation, after optimizing the area to be optimized of the CAE model of the vibration and shock tooling to obtain a target model, the method further includes:

[0031] Based on the optimized vibration and shock tooling and the second installation method of the battery pack on the vibration and shock test bench, establishing a second connection relationship between the CAE model of the optimized vibration and shock tooling and the CAE model of the battery pack to generate a second connection model;

[0032] Calculating the second constrained modes of the battery pack and the optimized vibration and shock tooling for the second connection model;

[0033] According to the first constrained mode and the second constrained mode, determining that the stiffness change of the vibration and shock tooling is within a first preset range and the strength change is within a second preset range.

[0034] In a second aspect, an embodiment of the present invention provides a vibration and shock tooling simulation optimization device, including:

[0035] A CAE model establishment module, configured to establish a CAE model of a vibration and shock tooling and a CAE model of a battery pack, where the vibration and shock tooling is an intermediate device between the battery pack and a vibration and shock test bench;

[0036] The first connection relationship establishment module is configured to establish a first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, and generate a first connection model;

[0037] The first constrained mode calculation module is configured to calculate the first constrained mode of the battery pack and the vibration and shock tooling for the first connection model, where the first constrained mode includes a first strain energy simulation result;

[0038] The area to be optimized determination module is configured to determine the area to be optimized of the CAE model of the vibration and shock tooling according to the first strain energy simulation result;

[0039] The area to be optimized optimization module is configured to optimize the area to be optimized of the CAE model of the vibration and shock tooling to obtain a target model, where the target model is the CAE model of the optimized vibration and shock tooling.

[0040] In a third aspect, an embodiment of the present invention provides an electronic device, including:

[0041] A memory and a processor, where the processor and the memory communicate with each other through a bus; the memory stores program instructions executable by the processor, and the processor can execute the method described in the first aspect and each step in various possible implementations by invoking the program instructions.

[0042] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the method described in the first aspect and each step in various possible implementations.

[0043] In a fifth aspect, an embodiment of the present invention provides a computer program product containing instructions, and when the computer program product runs on a computer, it causes the computer to execute the method described in the first aspect and each step in various possible implementations.

[0044] The beneficial effects brought by the technical solution provided by the embodiment of the present invention are as follows: After the target model is obtained, the optimized vibration and shock tooling corresponding to the target model has a smaller mass, but the change in stiffness is within the first preset range and the change in strength is within the second preset range, that is to say, the stiffness and strength remain basically unchanged; Since the optimized vibration and shock tooling corresponding to the target model has a smaller mass after the target model is obtained, time cost is saved when the vibration and shock tooling performs direction conversion; Since the mass of the vibration and shock tooling corresponding to the target model becomes smaller after the target model is obtained, the vibration and shock test bench can be used; A large number of installation points in the area to be optimized of the vibration and shock tooling are optimized, reducing a large number of installation points and improving the installation efficiency of the vibration and shock tooling. Description of the Drawings

[0045] Figure 1 It is a schematic flow chart of a vibration and shock tooling simulation optimization method provided by an embodiment of the present invention;

[0046] Figure 2 It is a schematic diagram of the first geometric model of the vibration and shock tooling provided by an embodiment of the present invention;

[0047] Figure 3 It is a schematic diagram of the CAE model of the vibration and shock tooling provided by an embodiment of the present invention;

[0048] Figure 4 It is a schematic diagram of the contour map of the strain energy simulation result provided by an embodiment of the present invention;

[0049] Figure 5 It is a schematic diagram of the target model provided by an embodiment of the present invention;

[0050] Figure 6 It is a schematic diagram of the first constrained mode contour map of the battery pack and the vibration and shock tooling provided by an embodiment of the present invention;

[0051] Figure 7 It is a schematic diagram of the second constrained mode contour map of the battery pack and the optimized vibration and shock tooling provided by an embodiment of the present invention;

[0052] Figure 8 It is a schematic block diagram of a vibration and shock tooling simulation optimization device provided by an embodiment of the present invention;

[0053] Figure 9 It is a schematic diagram of an electronic device provided by an embodiment of the present invention. Detailed Embodiments

[0054] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0055] The terms used in the embodiments of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The singular forms "a", "the", and "said" used in the embodiments of the present invention and the appended claims are also intended to include the plural forms unless the context clearly dictates otherwise.

[0056] It should be understood that the term "and / or" used herein is merely a description of an association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " herein generally represents an "or" relationship between the associated objects before and after.

[0057] Depending on the context, the word "if" as used herein can be interpreted as "when", "while", "in response to determining", or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if monitoring (stated condition or event)" can be interpreted as "when determined", "in response to determining", "when detecting (stated condition or event)", or "in response to detecting (stated condition or event)".

[0058] As an intermediate device between the battery pack and the vibration and shock test bench, the vibration and shock tooling has disadvantages such as large mass and redundant material design. When performing vibration and shock tests, the vibration and shock tooling needs to be tested in three directions: X, Y, and Z. At this time, due to the large mass of the vibration and shock tooling, problems such as difficult adjustment of the direction of the vibration and shock tooling will occur. In addition, for some vibration and shock test benches, due to the too large mass of the vibration and shock tooling and the relatively large mass of the battery pack, the vibration and shock test bench cannot be used.

[0059] In view of this, the embodiments of the present invention provide a method for simulating and optimizing vibration and shock tooling. The flowchart of this method is as Figure 1 shown. The flowchart may include the following steps:

[0060] Step 101: Establish a CAE model of the vibration and shock tooling and a CAE model of the battery pack. The vibration and shock tooling is an intermediate device between the battery pack and the vibration and shock test bench.

[0061] Step 102: Based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, establish the first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack, and generate the first connection model.

[0062] Step 103: Calculate the first constrained mode of the battery pack and the vibration and shock tooling for the first connection model. The first constrained mode includes the first strain energy simulation result.

[0063] Step 104: Determine the area to be optimized of the CAE model of the vibration and shock tooling according to the first strain energy simulation result.

[0064] Step 105: Optimize the area to be optimized of the CAE model of the vibration and shock tooling to obtain the target model, where the target model is the optimized CAE model of the vibration and shock tooling.

[0065] The following describes in detail each step in the above process and the effects that can be further generated in conjunction with the embodiments of the present invention. It should be noted that the "first", "second", etc. limitations involved in the embodiments of the present invention do not have limitations in terms of size, order, quantity, etc., and are only used to distinguish by name. For example, "first software" and "second software" are used to distinguish two different software.

[0066] First, in conjunction with the embodiments of the present invention, the above step 101, that is, "establish the CAE model of the vibration and shock tooling and the CAE model of the battery pack, where the vibration and shock tooling is an intermediate device between the battery pack and the vibration and shock test bench" is described in detail.

[0067] First, it should be noted that when actually performing vibration and shock tests on the battery pack, a connection relationship is established between the battery pack and the vibration and shock tooling. Exemplarily, bolt connection is performed. A connection relationship is established between the vibration and shock tooling and the vibration and shock test bench. Exemplarily, bolt connection is performed. In other words, the battery pack is installed on the vibration and shock tooling through bolt connection, and the vibration and shock tooling is installed on the vibration and shock test bench through bolt connection.

[0068] In the embodiments of the present invention, the CAE model of the vibration and shock tooling and the CAE model of the battery pack are established, and the vibration and shock tooling is an intermediate device between the battery pack and the vibration and shock test bench.

[0069] As one possible implementation manner, the CAE model of the vibration and shock tooling and the CAE model of the battery pack are established through the first software. The embodiments of the present invention do not specifically limit the first software, and the first software may be CAE software.

[0070] As one possible implementation manner, obtain the first geometric model of the vibration and shock tooling. Exemplarily, the first geometric model is as Figure 2As shown in the figure. The first geometric model is meshed using volume elements, such as hexahedron elements or tetrahedron elements, to obtain a plurality of first meshes. Material properties are configured for the plurality of first meshes to obtain a CAE model of the vibration and shock tooling. Exemplarily, the CAE model of the vibration and shock tooling is as shown in Figure 3 shown. Exemplarily, the material properties configured for the plurality of first meshes are the elastic modulus, Poisson's ratio, and density of the AL6061-T6 material. Establishing the CAE model of the battery pack is similar to establishing the CAE model of the vibration and shock tooling. That is to say, a second geometric model of the battery pack is obtained. The second geometric model is meshed using volume elements, such as hexahedron elements or tetrahedron elements, to obtain a plurality of second meshes. Material properties are configured for the plurality of second meshes to obtain a CAE model of the battery pack.

[0071] The following describes in detail step 102 above, that is, "based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, establish the first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack, and generate the first connection model" in combination with the embodiments of the present invention.

[0072] In the embodiments of the present invention, based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, establish the first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack, and generate the first connection model.

[0073] As one possible implementation manner, based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, establish the first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack through the first software, and generate the first connection model.

[0074] It can be understood that, based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, bolt connection is performed on the CAE model of the vibration and shock tooling and the CAE model of the battery pack to generate the first connection model. Exemplarily, the rbe2 unit connection method is used for bolt connection.

[0075] The following describes in detail step 103 above, that is, "calculate the first constrained mode of the battery pack and the vibration and shock tooling for the first connection model, and the first constrained mode includes the first strain energy simulation result" in combination with the embodiments of the present invention.

[0076] In the embodiments of the present invention, calculate the first constrained mode of the battery pack and the vibration and shock tooling for the first connection model, and the first constrained mode includes the first strain energy simulation result.

[0077] As one possible implementation, the first constraint mode of the battery pack and the vibration and shock tooling is calculated for the first connection model through a second software. The embodiments of the present invention do not specifically limit the second software, and the second software may be finite element structural analysis and optimization software.

[0078] As a possible implementation, based on the first connection relationship, each installation point where the vibration and shock tooling is connected to the vibration and shock test bench is constrained. That is to say, constraining each installation point is equivalent to the connection between the vibration and shock tooling and the vibration and shock test bench; the solution method for the constraint mode is set to solve the first constraint mode within the first 100 Hz; the first constraint mode of the battery pack and the vibration and shock tooling within the first 100 Hz can be determined by solving [K], [M], ω, and {φ} in the following formula.

[0079] [K]{φ} = ω^2[M]{φ}

[0080] Where, [K] is the stiffness matrix, which is used to characterize the stiffness characteristics of the structure of the vibration and shock tooling, [M] is the mass matrix, which is used to characterize the mass distribution of the structure of the vibration and shock tooling, ω is the natural frequency, different natural frequencies correspond to different first constraint modes, and {φ} is the mode vector, which is used to characterize the vibration mode of the battery pack and the vibration and shock tooling.

[0081] The solution method for the above formula is to use the mode solver in the second software, and gradually approximate the eigenvalues and eigenvectors through the Lanczos method to calculate the low-order modes of the battery pack and the vibration and shock tooling (that is, the first constraint mode of the battery pack and the vibration and shock tooling within the first 100 Hz).

[0082] The following describes in detail step 104 above, that is, "determine the area to be optimized of the CAE model of the vibration and shock tooling according to the first strain energy simulation result" in combination with the embodiments of the present invention.

[0083] In the embodiments of the present invention, the area to be optimized of the CAE model of the vibration and shock tooling is determined according to the first strain energy simulation result

[0084] As one possible implementation, through the second software, the area to be optimized of the CAE model of the vibration and shock tooling is determined according to the first strain energy simulation result.

[0085] It can be understood that strain energy is the energy stored in a material when it is deformed under force and can be used to measure the stiffness and strength of a structure (such as a vibration and shock tooling). Areas with strain energy less than the first preset threshold may have excessive materials and can be optimized for weight reduction. Areas with strain energy greater than the second preset threshold mean that these areas are subjected to greater stresses and require more materials to support. The area to be optimized includes the first area to be optimized. Therefore, as a possible implementation, according to the first strain energy simulation result, the first target area is determined as the first area to be optimized, and the first target area is the area in the CAE model of the vibration and shock tooling where the strain energy is less than the first preset threshold. The second preset threshold is greater than the first preset threshold. Exemplarily, the first preset threshold is 0.01. The area to be optimized also includes the second area to be optimized. As a possible implementation, according to the first strain energy simulation result, the second target area is determined as the second area to be optimized. The second target area is the area in the CAE model of the vibration and shock tooling where the strain energy is greater than the second preset threshold. Exemplarily, the second preset threshold is 0.04.

[0086] Exemplarily, the contour map of the first strain energy simulation result is as Figure 4 shown. Max = 0.06 and Grids2091068 represent that the maximum strain energy appears in grid 2091068, and Min = -0.00Grids 2068783 represents that the minimum strain energy appears in grid 2068783.

[0087] The following describes in detail the above step 105, that is, "optimize the area to be optimized in the CAE model of the vibration and shock tooling to obtain a target model, and the target model is the CAE model of the optimized vibration and shock tooling" in conjunction with the embodiments of the present invention.

[0088] In the embodiments of the present invention, the area to be optimized in the CAE model of the vibration and shock tooling is optimized to obtain a target model, and the target model is the CAE model of the optimized vibration and shock tooling. Exemplarily, the target model is as Figure 5 shown.

[0089] As Figure 4 shown, the yellow - red area is the area where the strain energy is greater than the second preset threshold, that is, the second target area. As Figure 4 shown, the second preset threshold is 0.04. Structural strengthening can be performed on the area where the strain energy is greater than the second preset threshold. The area where the strain energy is greater than the second preset threshold has a great influence on the stiffness and strength of the vibration and shock tooling. Structural strengthening of the area where the strain energy is greater than the second preset threshold can effectively improve the stiffness and strength of the vibration and shock tooling. Exemplarily, the material thickness can be increased. The gray area is the area where the strain energy is lower than the first preset threshold, that is, the first target area. As Figure 4As shown, the first preset threshold is 0.01. For the area where the strain energy is lower than the first preset threshold (exemplarily, the area where the strain energy < 0.01), a material weight reduction optimization design is carried out. Under the condition of ensuring the connection relationship between the vibration and shock tooling and the vibration and shock test bench, holes can be set in the gray area. Preferably, such as Figure 5 the through holes shown. For example, the areas around the outer mounting points of the vibration and shock tooling and the vibration and shock test bench may also be gray areas. However, considering the need for installation, the areas around the outer mounting points are left, and the areas between the outer mounting points are deleted. Since there may be mounting points in the areas between the outer mounting points but they are deleted, a large number of mounting points are reduced, and the installation efficiency of the vibration and shock tooling is improved.

[0090] It should be noted that based on the second installation method of the optimized vibration and shock tooling and the battery pack on the vibration and shock test bench, a second connection relationship between the CAE model of the optimized vibration and shock tooling and the CAE model of the battery pack is established, and a second connection model is generated. The specific implementation method can refer to establishing a first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, and generating a first connection model. Calculate the second constrained mode of the battery pack and the optimized vibration and shock tooling for the second connection model. The specific implementation method can refer to calculating the first constrained mode of the battery pack and the vibration and shock tooling for the first connection model. According to the first constrained mode and the second constrained mode, it is determined that the stiffness change of the vibration and shock tooling is within the first preset range and the strength change is within the second preset range. That is to say, the stiffness and strength of the vibration and shock tooling basically do not change before and after optimization, and the vibration test is not affected.

[0091] Exemplarily, the first constrained mode contour map of the battery pack and the vibration and shock tooling is as Figure 6 shown, and the second constrained mode contour map of the battery pack and the optimized vibration and shock tooling is as Figure 7 shown. The weight of the vibration and shock tooling is reduced from Figure 3 579.7 kg shown to Figure 5 249.1 kg shown, with a weight reduction of 57%. However, the first-order mode of the battery pack and the vibration and shock tooling changes from Figure 6 40.8 Hz shown to Figure 7 40.4 Hz shown. In the case of a 57% weight reduction, the stiffness and strength of the vibration and shock tooling basically do not change before and after optimization, and the vibration test is not affected.

[0092] The beneficial effects brought by the technical solution provided by the embodiment of the present invention are as follows: After the target model is obtained, the optimized vibration and shock tooling corresponding to the target model has a smaller mass, but the change in stiffness is within the first preset range and the change in strength is within the second preset range, that is to say, the stiffness and strength are basically unchanged; Since the optimized vibration and shock tooling corresponding to the target model has a smaller mass after the target model is obtained, the time cost is saved when the vibration and shock tooling performs direction conversion; Since the mass of the vibration and shock tooling corresponding to the target model becomes smaller after the target model is obtained, the vibration and shock test bench can be used; A large number of installation points in the area to be optimized of the vibration and shock tooling are optimized, reducing a large number of installation points and improving the installation efficiency of the vibration and shock tooling.

[0093] According to an embodiment of another aspect, a vibration and shock tooling simulation optimization device is provided. Figure 8 The schematic block diagram of the vibration and shock tooling simulation optimization device according to an embodiment is shown. As Figure 8 shown, the device may include: a CAE model establishment module 801, a first connection relationship establishment module 802, a first constrained mode calculation module 803, an area to be optimized determination module 804, and an area to be optimized optimization module 805. Among them, the main functions of each component module are as follows:

[0094] The CAE model establishment module 801 is used to establish a CAE model of the vibration and shock tooling and a CAE model of the battery pack, and the vibration and shock tooling is an intermediate device between the battery pack and the vibration and shock test bench;

[0095] The first connection relationship establishment module 802 is used to establish a first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, and generate a first connection model;

[0096] The first constrained mode calculation module 803 is used to calculate the first constrained mode of the battery pack and the vibration and shock tooling for the first connection model, and the first constrained mode includes a first strain energy simulation result;

[0097] The area to be optimized determination module 804 is used to determine the area to be optimized of the CAE model of the vibration and shock tooling according to the first strain energy simulation result;

[0098] The area to be optimized optimization module 805 is used to optimize the area to be optimized of the CAE model of the vibration and shock tooling to obtain a target model, and the target model is a CAE model of the optimized vibration and shock tooling.

[0099] In a possible implementation, the CAE model building module 801 is specifically configured to obtain the first geometric model of the vibration and shock tooling; perform mesh division on the first geometric model using volume elements to obtain a plurality of first meshes; configure material properties for the plurality of first meshes to obtain the CAE model of the vibration and shock tooling; and build the CAE model of the battery pack.

[0100] In a possible implementation, the first connection relationship building module 802 is specifically configured to perform bolt connection on the CAE model of the vibration and shock tooling and the CAE model of the battery pack based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench.

[0101] In a possible implementation, the first constraint mode calculation module 803 is specifically configured to, based on the first connection relationship, constrain each installation point where the vibration and shock tooling is connected to the vibration and shock test bench; set the solution method of the constraint mode to solve the first 100 Hz of the first constraint mode; and determine the first constraint mode of the battery pack and the vibration and shock tooling in the first 100 Hz by solving [K], [M], ω, and {φ} in the following formula:

[0102] [K]{φ} = ω^2[M]{φ}

[0103] Where [K] is the stiffness matrix, which is used to characterize the stiffness characteristics of the structure of the vibration and shock tooling, [M] is the mass matrix, which is used to characterize the mass distribution of the structure of the vibration and shock tooling, ω is the natural frequency, different natural frequencies correspond to different first constraint modes, and {φ} is the mode vector, which is used to characterize the vibration modes of the battery pack and the vibration and shock tooling.

[0104] In a possible implementation, the area to be optimized includes a first area to be optimized. The area to be optimized determination module 804 is specifically configured to determine the first target area as the first area to be optimized according to the first strain energy simulation result, and the first target area is the area where the strain energy in the CAE model of the vibration and shock tooling is less than the first preset threshold.

[0105] In a possible implementation, the area to be optimized further includes a second area to be optimized. The area to be optimized determination module 804 is specifically configured to determine the second target area as the second area to be optimized according to the first strain energy simulation result, and the second target area is the area where the strain energy in the CAE model of the vibration and shock tooling is greater than the second preset threshold, and the second preset threshold is greater than the first preset threshold.

[0106] In a possible implementation, the device further includes a processing module, configured to establish a second connection relationship between the CAE model of the optimized vibration and shock tooling and the CAE model of the battery pack based on the optimized vibration and shock tooling and the second installation method of the battery pack on the vibration and shock test bench; on the basis of the second connection relationship, calculate the second constrained modes of the battery pack and the optimized vibration and shock tooling; and determine that the stiffness change of the vibration and shock tooling is within a first preset range and the strength change is within a second preset range according to the first constrained mode and the second constrained mode.

[0107] Each embodiment in this specification is described in a progressive manner, and the same or similar parts among the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments. The device embodiments described above are only illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0108] In addition, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method described in any one of the foregoing method embodiments are implemented.

[0109] And an electronic device, including:

[0110] One or more processors; and

[0111] A memory associated with the one or more processors, the memory being configured to store program instructions, and when the program instructions are read and executed by the one or more processors, the steps of the method described in any one of the foregoing method embodiments are executed.

[0112] An embodiment of the present invention further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the method described in any one of the foregoing method embodiments are implemented.

[0113] Wherein, Figure 9Exemplarily shown is the architecture of an electronic device, which may specifically include a processor 910, a video display adapter 911, a disk drive 912, an input / output interface 913, a network interface 914, and a memory 920. The above-mentioned processor 910, video display adapter 911, disk drive 912, input / output interface 913, network interface 914, and the memory 920 can be communicatively connected via a communication bus 930.

[0114] Among them, the processor 910 can be implemented in ways such as a general-purpose CPU, a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided by the embodiments of the present invention.

[0115] The memory 920 can be implemented in forms such as a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, etc. The memory 920 can store an operating system 921 for controlling the operation of the electronic device 900, and a basic input / output system (BIOS) 922 for controlling the low-level operations of the electronic device 900. Additionally, it can also store a web browser 923, a data storage management system 924, and a vibration and shock tooling simulation optimization device 925, etc. The above-mentioned vibration and shock tooling simulation optimization device 925 can be the application program that specifically implements the operations of the foregoing steps in the embodiments of the present invention. In short, when implementing the technical solutions provided by the embodiments of the present invention through software or firmware, the relevant program codes are stored in the memory 920 and are called and executed by the processor 910.

[0116] The input / output interface 913 is used to connect to an input / output module to achieve information input and output. The input / output module can be configured as a component in the device (not shown in the figure) or can be externally connected to the device to provide corresponding functions. Among them, the input device can include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device can include a display, a speaker, a vibrator, an indicator light, etc.

[0117] The network interface 914 is used to connect to a communication module (not shown in the figure) to achieve communication and interaction between this device and other devices. Among them, the communication module can achieve communication in a wired manner (such as USB, network cable, etc.) or in a wireless manner (such as mobile network, WIFI, Bluetooth, etc.).

[0118] The bus 930 includes a path for transmitting information between various components of the device, such as the processor 910, the video display adapter 911, the disk drive 912, the input / output interface 913, the network interface 914, and the memory 920.

[0119] It should be noted that although only the processor 910, the video display adapter 911, the disk drive 912, the input / output interface 913, the network interface 914, the memory 920, the bus 930, etc. are shown in the above device, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, those skilled in the art can understand that the above device may also only include the components necessary to implement the solution of this application, and do not have to include all the components shown in the figure.

[0120] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0121] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention, and are not intended to limit them; although the embodiments of the present invention have been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A simulation optimization method for a vibration impact tooling, characterized in that, Including: Establishing a CAE model of a vibration and shock tooling and a CAE model of a battery pack, where the vibration and shock tooling is an intermediate device between the battery pack and a vibration and shock test bench; Based on a first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, establishing a first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack to generate a first connection model; Calculating a first constrained mode of the battery pack and the vibration and shock tooling for the first connection model, where the first constrained mode includes a first strain energy simulation result; Determining an area to be optimized of the CAE model of the vibration and shock tooling according to the first strain energy simulation result; Optimizing the area to be optimized of the CAE model of the vibration and shock tooling to obtain a target model, where the target model is the CAE model of the optimized vibration and shock tooling.

2. The method according to claim 1, wherein The establishing of the CAE model of the vibration and shock tooling and the CAE model of the battery pack includes: Obtaining a first geometric model of the vibration and shock tooling; Performing mesh division on the first geometric model using volume elements to obtain a plurality of first meshes; Configuring material properties for the plurality of first meshes to obtain the CAE model of the vibration and shock tooling; Establishing the CAE model of the battery pack.

3. The method according to claim 1, wherein The establishing of the first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench to generate a first connection model includes: Based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench, performing bolt connection on the CAE model of the vibration and shock tooling and the CAE model of the battery pack to generate a first connection model.

4. The method according to claim 1, characterized in that, The calculating of the first constrained mode of the battery pack and the vibration and shock tooling for the first connection model includes: On the basis of the first connection relationship, constraining each installation point where the vibration and shock tooling is connected to the vibration and shock test bench; Setting the solution method of the constrained mode to solve the first constrained mode of the first 100 Hz; By solving [K], [M], ω, and {φ} in the following formula, determining the first constrained mode of the battery pack and the vibration and shock tooling in the first 100 Hz: [K]{φ} = ω^2[M]{φ} Where, [K] is a stiffness matrix used to characterize the stiffness characteristics of the structure of the vibration and shock tooling, [M] is a mass matrix used to characterize the mass distribution of the structure of the vibration and shock tooling, ω is a natural frequency, different natural frequencies correspond to different first constrained modes, and {φ} is a mode vector used to characterize the vibration modes of the battery pack and the vibration and shock tooling.

5. The method according to claim 1, wherein The area to be optimized includes a first area to be optimized; The determining of the area to be optimized of the CAE model of the vibration and shock tooling according to the first strain energy simulation result includes: According to the first strain energy simulation result, determine the first target area as the first area to be optimized, where the first target area is the area in the CAE model of the vibration and shock tooling with strain energy less than the first preset threshold.

6. The method according to claim 5, wherein The area to be optimized further includes a second area to be optimized; The method further includes: According to the first strain energy simulation result, determine the second target area as the second area to be optimized, where the second target area is the area in the CAE model of the vibration and shock tooling with strain energy greater than the second preset threshold, and the second preset threshold is greater than the first preset threshold.

7. The method according to any one of claims 1-6, characterized in that, After optimizing the area to be optimized of the CAE model of the vibration and shock tooling to obtain the target model, the method further includes: Based on the optimized vibration and shock tooling and the second installation method of the battery pack on the vibration and shock test bench, establish the second connection relationship between the CAE model of the optimized vibration and shock tooling and the CAE model of the battery pack to generate a second connection model; Calculate the second constrained mode of the battery pack and the optimized vibration and shock tooling for the second connection model; According to the first constrained mode and the second constrained mode, determine that the stiffness change of the vibration and shock tooling is within the first preset range and the strength change is within the second preset range.

8. A vibration impact tooling simulation and optimization device, characterized in that, It includes: A CAE model establishment module, configured to establish a CAE model of the vibration and shock tooling and a CAE model of the battery pack, where the vibration and shock tooling is an intermediate device between the battery pack and the vibration and shock test bench; A first connection relationship establishment module, configured to establish the first connection relationship between the CAE model of the vibration and shock tooling and the CAE model of the battery pack based on the first installation method of the vibration and shock tooling and the battery pack on the vibration and shock test bench to generate a first connection model; A first constrained mode calculation module, configured to calculate the first constrained mode of the battery pack and the vibration and shock tooling for the first connection model, where the first constrained mode includes the first strain energy simulation result; An area to be optimized determination module, configured to determine the area to be optimized of the CAE model of the vibration and shock tooling according to the first strain energy simulation result; An area to be optimized optimization module, configured to optimize the area to be optimized of the CAE model of the vibration and shock tooling to obtain a target model, where the target model is the CAE model of the optimized vibration and shock tooling.

9. An electronic device, characterized in that, It includes: A memory and a processor, and the processor and the memory complete communication with each other through a bus; The memory stores program instructions executable by the processor, and the processor can execute the method according to any one of claims 1 to 7 by invoking the program instructions.

10. A computer-readable storage medium, having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method according to any one of claims 1 to 7.

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