Simulation analysis method and device for battery bracket

Abstract

The present invention discloses a simulation analysis method and device for a battery bracket. The battery bracket is applied to new energy vehicles, including: generating a target vibration power spectrum density based on a standard vibration power spectrum density and a whole vehicle test spectrum of the new energy vehicle, wherein the whole vehicle test spectrum is a test spectrum prepared in advance for the new energy vehicle, and is used to test all components of the new energy vehicle; inputting the target vibration power spectrum density into a vibration load simulation model for random vibration analysis to obtain an analysis result; determining the fatigue damage value of the battery bracket according to the analysis result, wherein the fatigue damage value is used to characterize the fatigue damage degree of the battery bracket. The present invention solves the technical problem of low accuracy of fatigue damage simulation calculation using the existing power spectrum density PSD when fatigue estimation is performed on the battery bracket of a new energy vehicle in the prior art.

Description

Technical Field

[0001] The present invention relates to the field of new energy, and in particular to a simulation analysis method and device for a battery bracket. Background Art

[0002] New energy buses use batteries as their energy source and are key components of new energy buses. Ensuring battery safety is a necessary condition for bus safety performance. Battery mounting brackets, as mounting brackets for key components of new energy buses, are an important condition for ensuring the normal and safe driving of vehicles. They should have a certain fatigue life to ensure battery safety. Through simulation analysis of new energy vehicle battery bracket failure cases, only starting from the classic rigidity simulation analysis method, the battery bracket failure cannot be reproduced, and the cause of the failure cannot be further explored.

[0003] According to the actual vehicle operating conditions, the battery bracket is mainly subjected to random vibration loads, which is the main cause of fatigue fracture failure of the battery bracket. The classic stiffness and strength conditions cannot simulate the load state of the battery bracket during random vibration. Moreover, in the early stage of vehicle design, since the actual vehicle road spectrum cannot be obtained, the existing PSD is used for fatigue damage simulation calculation, and the accuracy of fatigue estimation of the battery bracket is low.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiment of the present invention provides a simulation analysis method and device for a battery bracket, so as to at least solve the technical problem of low accuracy of fatigue damage simulation calculation using the existing power spectrum density PSD when performing fatigue estimation on the battery bracket of a new energy vehicle in the prior art.

[0006] According to one aspect of an embodiment of the present invention, a simulation analysis method for a battery bracket is provided, and the battery bracket is applied to a new energy vehicle, comprising: generating a target vibration power spectrum density based on a standard vibration power spectrum density and a whole vehicle test spectrum of the new energy vehicle, wherein the whole vehicle test spectrum is a test spectrum pre-prepared for the new energy vehicle and used to test all components of the new energy vehicle; inputting the target vibration power spectrum density into a vibration load simulation model to perform random vibration analysis to obtain an analysis result; determining a fatigue damage value of the battery bracket according to the analysis result, wherein the fatigue damage value is used to characterize the degree of fatigue damage of the battery bracket.

[0007] Optionally, based on the standard vibration power spectrum density and the whole vehicle test spectrum of the above-mentioned new energy vehicle, a target vibration power spectrum density is generated, including: obtaining the above-mentioned standard vibration power spectrum density and the whole vehicle test spectrum of the above-mentioned new energy vehicle; correcting the above-mentioned standard vibration power spectrum density according to the above-mentioned whole vehicle test spectrum to obtain the above-mentioned target vibration power spectrum density.

[0008] Optionally, the standard vibration power spectrum density is corrected according to the whole vehicle test spectrum to obtain the target vibration power spectrum density, including: determining a sub-power spectrum density in the standard vibration power spectrum density, wherein the sub-power spectrum density is the power spectrum density in the direction of maximum stress influence; correcting the sub-power spectrum density according to the whole vehicle test spectrum to obtain the target vibration power spectrum density.

[0009] Optionally, before inputting the above-mentioned target vibration power spectral density into the vibration load simulation model for random vibration analysis, the above-mentioned method also includes: obtaining three-dimensional digital model data and design drawing data of the above-mentioned battery bracket; performing finite element modeling processing on the above-mentioned battery bracket based on the above-mentioned three-dimensional digital model data and the above-mentioned design drawing data to obtain the above-mentioned vibration load simulation model.

[0010] Optionally, the target vibration power spectrum density is input into a vibration load simulation model for random vibration analysis to obtain analysis results, including: using the vibration load simulation model to amplify the random vibration condition of the unit acceleration load in the target vibration power spectrum density; using the vibration load simulation model to perform random vibration analysis on the amplified result to obtain the constrained modal natural frequency and effective stress value of the battery bracket.

[0011] Optionally, the fatigue damage value of the battery bracket is determined according to the analysis results, including: using a fatigue three-interval method based on Gaussian distribution and linear cumulative damage law to evaluate the constraint modal natural frequency and the effective stress value; determining the fatigue damage value based on the evaluation results.

[0012] Optionally, after determining the fatigue damage value of the battery bracket according to the analysis results, the method further includes: obtaining the first-order torsion / bending frequency of the battery bracket and the power spectrum density energy concentration frequency band; adjusting the constrained modal natural frequency according to the first-order torsion / bending frequency and the power spectrum density energy concentration frequency band; wherein, when the first-order torsion / bending frequency is coupled with the power spectrum density energy concentration frequency, the effective stress value is the largest; as the difference between the first-order torsion / bending frequency and the power spectrum density energy concentration frequency increases, the effective stress value becomes smaller.

[0013] According to another aspect of an embodiment of the present invention, a simulation and analysis device for a battery bracket is also provided. The battery bracket is applied to a new energy vehicle, comprising: a generation module, used to generate a target vibration power spectrum density based on a standard vibration power spectrum density and a whole vehicle test spectrum of the new energy vehicle, wherein the whole vehicle test spectrum is a test spectrum pre-prepared for the new energy vehicle, and is used to test all components of the new energy vehicle; an analysis module, used to input the target vibration power spectrum density into a vibration load simulation model for random vibration analysis to obtain an analysis result; a determination module, used to determine a fatigue damage value of the battery bracket according to the analysis result, wherein the fatigue damage value is used to characterize the degree of fatigue damage of the battery bracket.

[0014] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, wherein the non-volatile storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executed by a simulation analysis method of a battery bracket such as any one of the instructions.

[0015] According to another aspect of an embodiment of the present invention, there is further provided an electronic device, comprising: a processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing a simulation analysis method of a battery bracket such as any one of the items.

[0016] In an embodiment of the present invention, a target vibration power spectrum density is generated based on a standard vibration power spectrum density and a whole vehicle test spectrum of a new energy vehicle, wherein the whole vehicle test spectrum is a test spectrum prepared in advance for the new energy vehicle and used to test all components of the new energy vehicle; the target vibration power spectrum density is input into a vibration load simulation model for random vibration analysis to obtain an analysis result; and the fatigue damage value of the battery bracket is determined according to the analysis result, wherein the fatigue damage value is used to characterize the fatigue damage degree of the battery bracket.

[0017] By combining the vehicle test road spectrum with the standard random vibration test requirements, a new target vibration power spectrum density is corrected and used for random vibration analysis of the battery bracket of new energy buses to evaluate the fatigue damage value of the battery bracket, thereby achieving the purpose of improving the accuracy of fatigue prediction of the battery bracket of new energy vehicles, thereby achieving the technical effect of effectively saving product development costs, shortening product development cycles, and improving product safety and reliability, and can better provide reference for automobile development and design optimization. In addition, the technical problem of low accuracy of fatigue damage simulation calculation using the existing power spectrum density PSD when predicting fatigue of battery brackets of new energy vehicles in the prior art is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 is a flow chart of a simulation analysis method of a battery bracket according to an embodiment of the present invention;

[0020] Figure 2 is a flow chart of an optional simulation analysis method of a battery bracket according to an embodiment of the present invention;

[0021] Figure 3 is a structural schematic diagram of a simulation analysis device for a battery bracket according to an embodiment of the present invention;

[0022] Figure 4 is a schematic diagram of a vibration curve of an optional PSD according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] Example 1

[0026] According to an embodiment of the present invention, a method embodiment of a simulation analysis method for a battery bracket 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.

[0027] The battery bracket in the embodiment of the present application is used in new energy vehicles. Figure 1 is a flow chart of a simulation analysis method of a battery bracket according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0028] Step S102, generating a target vibration power spectrum density based on a standard vibration power spectrum density and a whole vehicle test spectrum of a new energy vehicle, wherein the whole vehicle test spectrum is a test spectrum prepared in advance for the new energy vehicle and used to test all components of the new energy vehicle;

[0029] Step S104, inputting the target vibration power spectrum density into a vibration load simulation model to perform random vibration analysis to obtain analysis results;

[0030] Step S106, determining a fatigue damage value of the battery holder according to the analysis result, wherein the fatigue damage value is used to characterize a degree of fatigue damage of the battery holder.

[0031] In an embodiment of the present invention, a target vibration power spectrum density is generated based on a standard vibration power spectrum density and a whole vehicle test spectrum of a new energy vehicle, wherein the whole vehicle test spectrum is a test spectrum prepared in advance for the new energy vehicle and used to test all components of the new energy vehicle; the target vibration power spectrum density is input into a vibration load simulation model for random vibration analysis to obtain an analysis result; and the fatigue damage value of the battery bracket is determined according to the analysis result, wherein the fatigue damage value is used to characterize the fatigue damage degree of the battery bracket.

[0032] By combining the vehicle test road spectrum with the standard random vibration test requirements, a new target vibration power spectrum density is corrected and used for random vibration analysis of the battery bracket of new energy buses to evaluate the fatigue damage value of the battery bracket, thereby achieving the purpose of improving the accuracy of fatigue prediction of the battery bracket of new energy vehicles, thereby achieving the technical effect of effectively saving product development costs, shortening product development cycles, and improving product safety and reliability, and can better provide reference for automobile development and design optimization. In addition, the technical problem of low accuracy of fatigue damage simulation calculation using the existing power spectrum density PSD when predicting fatigue of battery brackets of new energy vehicles in the prior art is solved.

[0033] In the embodiment of the present application, a new target vibration power spectrum density PSD is used as the input of the random vibration load model of the battery bracket, and the mechanical properties of the battery bracket are examined in a more rigorous way than the vibration test method of the battery. The three-interval method proposed by Steinberg based on Gaussian distribution and Miner's linear cumulative damage law is used to evaluate the RMS stress obtained from the random vibration simulation analysis of the battery bracket, and to reasonably determine whether the fatigue life of the battery bracket meets the use requirements. When the safety factor of the classic rigid strength simulation analysis method is more than 2 times the yield stress of the material, the failure phenomenon of the actual vehicle battery bracket is fully reproduced, and this method is applied to other electrical component mounting brackets, and the failure phenomenon is also reproduced.

[0034] In an embodiment of the present application, the above-mentioned whole vehicle test spectrum is a test spectrum pre-prepared for the above-mentioned new energy vehicle, which is used to test all components of the above-mentioned new energy vehicle. Combined with the whole vehicle test road spectrum, the standard vibration power spectrum density of the battery in GB 38031-2020 is enhanced and corrected to generate the above-mentioned target vibration power spectrum density. The target vibration power spectrum density is used as the input of the random vibration load model of the battery bracket, and the battery bracket is subjected to random vibration analysis; the three-interval method proposed by Steinberg based on Gaussian distribution and Miner's linear cumulative damage law is adopted to evaluate the RMS stress obtained from the random vibration simulation analysis of the battery bracket to determine whether the fatigue life of the battery bracket meets the use requirements.

[0035] As an optional embodiment, based on the standard vibration power spectrum density and the vehicle test spectrum of the new energy vehicle, the target vibration power spectrum density is generated, including:

[0036] Step 202, obtaining the above-mentioned standard vibration power spectrum density and the above-mentioned vehicle test spectrum of the new energy vehicle;

[0037] Step 204 , correcting the standard vibration power spectrum density according to the vehicle test spectrum to obtain the target vibration power spectrum density.

[0038] In an optional embodiment, the standard vibration power spectrum density is corrected according to the vehicle test spectrum to obtain the target vibration power spectrum density, including:

[0039] Step 302, determining a sub-power spectrum density in the standard vibration power spectrum density, wherein the sub-power spectrum density is the power spectrum density in the direction where the stress has the greatest influence;

[0040] Step 304: correct the sub-power spectrum density according to the vehicle test spectrum to obtain the target vibration power spectrum density.

[0041] Optionally, the above-mentioned sub-power spectrum density is the Z-axis power spectrum density PSD. In the above-mentioned optional embodiment, the standard vibration power spectrum density of the battery in GB 38031-2020 is enhanced and corrected in combination with the vehicle test road spectrum, mainly referring to the enhanced correction of the Z-axis direction where the stress of the battery bracket is most affected. After correction, the target vibration power spectrum density PSD shown in Table 1 is obtained, wherein n in Table 1 is the magnification and reduction coefficient, which is 0 to 0.2, and the value of n can also be determined within this range according to the actual road conditions of the vehicle. For vehicles with poor road conditions, the value of the battery bracket should be the largest. The vibration curve of PSD is as follows Figure 4 shown.

[0042] Table 1

[0043] Frequency (Hz) Z-axis power spectral density (PSD) (g2 / Hz) 5 0.008(1±n) 10 0.06(1±n) 20 0.06(1±n) 30 0.0007(1±n) 100 0.0007(1±n) 200 0.00008(1±n) RMS 0.87-1.06g

[0044] In another optional embodiment, before inputting the target vibration power spectrum density into the vibration load simulation model for random vibration analysis, the method further includes:

[0045] Step S402, obtaining the three-dimensional digital model data and design drawing data of the battery bracket;

[0046] Step S404, performing finite element modeling processing on the battery bracket according to the three-dimensional digital model data and the design drawing data to obtain the vibration load simulation model.

[0047] like Figure 2 As shown, the embodiment of the present application selects the battery bracket of the new energy bus for simulation analysis, and performs finite element modeling on the battery bracket according to the three-dimensional digital model data and design drawing data of the battery bracket to obtain the above-mentioned vibration load simulation model. After obtaining the above-mentioned vibration load simulation model, the vibration load simulation model can also be assigned material properties, and the model quality and connection relationship can be checked.

[0048] Optionally, the embodiment of the present application can also couple the node at the installation location of the battery holder to a point according to the installation position of the battery holder, constrain the six degrees of freedom of the node at the installation location, and set the random vibration condition of the battery holder with unit acceleration in the Z direction.

[0049] In an optional embodiment, the target vibration power spectrum density is input into a vibration load simulation model to perform random vibration analysis to obtain analysis results, including:

[0050] Step S502, using the vibration load simulation model, amplifying the random vibration condition of the unit acceleration load in the target vibration power spectrum density;

[0051] Step S504: using the vibration load simulation model to perform random vibration analysis on the amplified processing result to obtain the constrained modal natural frequency and effective stress value of the battery bracket.

[0052] As an optional embodiment, Figure 2 As shown, based on the standard vibration power spectrum density and the whole vehicle test spectrum of new energy vehicles, the target vibration power spectrum density PSD is obtained, and the enhanced and corrected target vibration power spectrum density PSD is input into the vibration load simulation model, and the random vibration working condition of the unit acceleration load is set, such as amplification processing and using the above vibration load simulation model to submit the amplification processing result for simulation calculation, so as to perform random vibration analysis on the amplification processing result, and obtain the constrained modal natural frequency and effective stress value RMS of the above battery bracket, and then the fatigue three-interval method can be used in combination with the constrained modal natural frequency and effective stress value RMS to analyze the structural rationality of the battery bracket.

[0053] As an optional embodiment, determining the fatigue damage value of the battery bracket according to the above analysis results includes:

[0054] Step S602, using a fatigue three-interval method based on Gaussian distribution and linear cumulative damage law to evaluate the above-mentioned constrained modal natural frequency and the above-mentioned effective stress value;

[0055] Step S604: determining the fatigue damage value based on the evaluation result.

[0056] In the embodiment of the present application, Figure 2 As shown, after obtaining the analysis results, the RMS stress value obtained from the random vibration simulation analysis of the battery bracket can be fatigue evaluated (i.e., fatigue life evaluation) according to the fatigue three-interval method proposed by Steinberg based on Gaussian distribution and Miner's linear cumulative damage law.

[0057] Optional, according to GB 38031-2020 requirements, the expected life of the battery holder is 12h, the vibration frequency ranges from 5Hz to 200Hz, and the average vibration frequency v0 + According to the SN curve of the material, the life N of the material at 1σ, 2σ, and 3σ is queried. 1σ 、N 2σ 、N 3σ , substitute the data into the following formulas (1)-(4) to calculate the overall damage D of the battery bracket. When D≤0.8, the fatigue damage value of the battery bracket as a whole is less than 1, and has a safety margin of 1.25 times, which is considered to meet the random vibration fatigue life requirements of electric buses.

[0058]

[0059]

[0060]

[0061]

[0062] In an optional embodiment, after determining the fatigue damage value of the battery bracket according to the analysis result, the method further includes:

[0063] Step S702, obtaining the first-order torsional / bending frequency of the battery bracket and the power spectrum density energy concentration frequency band;

[0064] Step S704: adjusting the constrained mode natural frequency according to the first-order torsion / bending frequency and the power spectrum density energy concentration frequency band.

[0065] Among them, when the above-mentioned first-order torsion / bending frequency is coupled with the above-mentioned power spectrum density energy concentration frequency, the above-mentioned effective stress value is the largest; as the difference between the above-mentioned first-order torsion / bending frequency and the above-mentioned power spectrum density energy concentration frequency increases, the above-mentioned effective stress value becomes smaller.

[0066] After determining the fatigue damage value of the battery bracket according to the above analysis results, it can be obtained from the constrained modal natural frequency analysis that when the first-order torsion / bending frequency is coupled with the power spectrum density energy concentration frequency, the effective stress value is the largest; as the difference between the first-order torsion / bending frequency and the power spectrum density energy concentration frequency increases, the effective stress value decreases. Therefore, the constrained modal natural frequency of the battery bracket in the embodiment of the present application should avoid the power spectrum density energy concentration frequency band, and its first-order torsion / bending frequency should be greater than 25Hz. This indicator serves as the basis for improving the battery bracket structure.

[0067] Example 2

[0068] According to an embodiment of the present invention, there is also provided an embodiment of a device for implementing the simulation analysis method of the battery bracket, wherein the battery bracket is applied to a new energy vehicle. Figure 3 is a structural schematic diagram of a simulation analysis device for a battery bracket according to an embodiment of the present invention. Figure 3 As shown, the simulation analysis device of the battery bracket includes: a generation module 30, an analysis module 32 and a determination module 34, wherein:

[0069] A generation module 30 is used to generate a target vibration power spectrum density based on a standard vibration power spectrum density and a whole vehicle test spectrum of the above-mentioned new energy vehicle, wherein the above-mentioned whole vehicle test spectrum is a test spectrum prepared in advance for the above-mentioned new energy vehicle, and is used to test all components of the above-mentioned new energy vehicle; an analysis module 32 is used to input the above-mentioned target vibration power spectrum density into a vibration load simulation model for random vibration analysis to obtain an analysis result; a determination module 34 is used to determine a fatigue damage value of the above-mentioned battery bracket according to the above-mentioned analysis result, wherein the above-mentioned fatigue damage value is used to characterize the fatigue damage degree of the above-mentioned battery bracket.

[0070] It should be noted that the above modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0071] It should be noted that the above generation module 30, analysis module 32 and determination module 34 correspond to steps S102 to S106 in Example 1, and the examples and application scenarios implemented by the above modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above Example 1. It should be noted that the above modules as part of the device can be run in a computer terminal.

[0072] It should be noted that the optional or preferred implementation of this embodiment can refer to the relevant description in Example 1, which will not be repeated here.

[0073] The above-mentioned battery bracket simulation and analysis device may also include a processor and a memory. The above-mentioned generation module 30, analysis module 32 and determination module 34 are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0074] The processor includes a kernel, which retrieves the corresponding program unit from the memory. The kernel may be one or more. The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory includes at least one memory chip.

[0075] According to an embodiment of the present application, a non-volatile storage medium embodiment is also provided. Optionally, in this embodiment, the non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute any one of the above-mentioned battery bracket simulation analysis methods.

[0076] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group, and the non-volatile storage medium includes a stored program.

[0077] Optionally, when the program is running, the device where the non-volatile storage medium is located is controlled to perform the following functions: based on the standard vibration power spectrum density and the whole vehicle test spectrum of the new energy vehicle, a target vibration power spectrum density is generated, wherein the above-mentioned whole vehicle test spectrum is a test spectrum pre-prepared for the above-mentioned new energy vehicle, and is used to test all components of the above-mentioned new energy vehicle; the above-mentioned target vibration power spectrum density is input into the vibration load simulation model for random vibration analysis to obtain analysis results; according to the above-mentioned analysis results, the fatigue damage value of the above-mentioned battery bracket is determined, wherein the above-mentioned fatigue damage value is used to characterize the fatigue damage degree of the above-mentioned battery bracket.

[0078] According to an embodiment of the present application, a processor embodiment is also provided. Optionally, in this embodiment, the processor is used to run a program, wherein when the program is run, any one of the above-mentioned battery bracket simulation analysis methods is executed.

[0079] An embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the following steps are implemented: based on a standard vibration power spectrum density and a whole vehicle test spectrum of a new energy vehicle, a target vibration power spectrum density is generated, wherein the whole vehicle test spectrum is a test spectrum prepared in advance for the new energy vehicle and used to test all components of the new energy vehicle; the target vibration power spectrum density is input into a vibration load simulation model for random vibration analysis to obtain an analysis result; and the fatigue damage value of the battery bracket is determined according to the analysis result, wherein the fatigue damage value is used to characterize the degree of fatigue damage of the battery bracket.

[0080] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that is initialized with the following method steps: generating a target vibration power spectrum density based on a standard vibration power spectrum density and a whole vehicle test spectrum of a new energy vehicle, wherein the above-mentioned whole vehicle test spectrum is a test spectrum pre-prepared for the above-mentioned new energy vehicle, and is used to test all components of the above-mentioned new energy vehicle; inputting the above-mentioned target vibration power spectrum density into a vibration load simulation model for random vibration analysis to obtain an analysis result; determining the fatigue damage value of the above-mentioned battery bracket based on the above-mentioned analysis result, wherein the above-mentioned fatigue damage value is used to characterize the degree of fatigue damage of the above-mentioned battery bracket.

[0081] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0082] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0083] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0084] 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 on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0085] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0086] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable non-volatile storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a non-volatile storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned non-volatile storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0087] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A simulation analysis method for a battery bracket, characterized in that: Battery brackets are used in new energy vehicles, including: Generate a target vibration power spectrum density based on a standard vibration power spectrum density and a whole vehicle test spectrum of the new energy vehicle, wherein the whole vehicle test spectrum is a test spectrum prepared in advance for the new energy vehicle and used to test all components of the new energy vehicle; Inputting the target vibration power spectrum density into a vibration load simulation model to perform random vibration analysis to obtain analysis results; Determining a fatigue damage value of the battery bracket according to the analysis result, wherein the fatigue damage value is used to characterize the fatigue damage degree of the battery bracket; Based on the standard vibration power spectrum density and the vehicle test spectrum of the new energy vehicle, the target vibration power spectrum density is generated, including: Obtaining the standard vibration power spectrum density and the whole vehicle test spectrum of the new energy vehicle; Correcting the standard vibration power spectrum density according to the vehicle test spectrum to obtain the target vibration power spectrum density; The standard vibration power spectrum density is corrected according to the vehicle test spectrum to obtain the target vibration power spectrum density, including: Determining a sub-power spectrum density in the standard vibration power spectrum density, wherein the sub-power spectrum density is the power spectrum density in the direction of maximum stress influence; Correcting the sub-power spectrum density according to the vehicle test spectrum to obtain the target vibration power spectrum density; The target vibration power spectrum density is input into the vibration load simulation model to perform random vibration analysis to obtain analysis results, including: The vibration load simulation model is used to amplify the random vibration condition of the unit acceleration load in the target vibration power spectrum density; The vibration load simulation model is used to perform random vibration analysis on the amplified processing result to obtain the constrained modal natural frequency and effective stress value of the battery bracket.

2. The method according to claim 1, characterized in that Before inputting the target vibration power spectrum density into the vibration load simulation model for random vibration analysis, the method further includes: Obtaining three-dimensional digital model data and design drawing data of the battery bracket; Finite element modeling is performed on the battery bracket according to the three-dimensional digital model data and the design drawing data to obtain the vibration load simulation model.

3. The method according to claim 1, characterized in that Determining the fatigue damage value of the battery bracket according to the analysis result includes: The fatigue three-interval method based on Gaussian distribution and linear cumulative damage law is used to evaluate the constraint modal natural frequency and the effective stress value; The fatigue damage value is determined based on the evaluation result.

4. The method according to claim 3, characterized in that After determining the fatigue damage value of the battery bracket according to the analysis result, the method further includes: Obtaining the first-order torsional / bending frequency of the battery bracket and the power spectrum density energy concentration frequency band; Adjusting the constrained modal natural frequency according to the first-order torsion / bending frequency and the power spectrum density energy concentration frequency band; Among them, the effective stress value is the largest when the first-order torsion / bending frequency is coupled with the power spectrum density energy concentration frequency; as the difference between the first-order torsion / bending frequency and the power spectrum density energy concentration frequency increases, the effective stress value decreases.

5. A simulation analysis device for a battery bracket, characterized in that: Battery brackets are used in new energy vehicles, including: A generating module, for generating a target vibration power spectrum density based on a standard vibration power spectrum density and a whole vehicle test spectrum of the new energy vehicle, wherein the whole vehicle test spectrum is a test spectrum prepared in advance for the new energy vehicle, and is used to test all components of the new energy vehicle; generating a target vibration power spectrum density based on the standard vibration power spectrum density and the whole vehicle test spectrum of the new energy vehicle, comprising: acquiring the standard vibration power spectrum density and the whole vehicle test spectrum of the new energy vehicle; and correcting the standard vibration power spectrum density according to the whole vehicle test spectrum to obtain the target vibration power spectrum density; An analysis module is used to input the target vibration power spectrum density into a vibration load simulation model to perform random vibration analysis to obtain an analysis result; and to correct the standard vibration power spectrum density according to the vehicle test spectrum to obtain the target vibration power spectrum density, including: determining a sub-power spectrum density in the standard vibration power spectrum density, wherein the sub-power spectrum density is a power spectrum density in a direction with the maximum stress influence; and to correct the sub-power spectrum density according to the vehicle test spectrum to obtain the target vibration power spectrum density; A determination module is used to determine the fatigue damage value of the battery bracket according to the analysis result, wherein the fatigue damage value is used to characterize the fatigue damage degree of the battery bracket; input the target vibration power spectrum density into a vibration load simulation model for random vibration analysis to obtain an analysis result, including: using the vibration load simulation model to amplify the random vibration condition of the unit acceleration load in the target vibration power spectrum density; using the vibration load simulation model to perform random vibration analysis on the amplified processing result to obtain the constrained modal natural frequency and effective stress value of the battery bracket.

6. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the simulation analysis method of a battery bracket as claimed in any one of claims 1 to 4.

7. An electronic device, characterized in that: include: A processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing the simulation analysis method of the battery bracket as claimed in any one of claims 1 to 4.

Images