Vehicle NVH index optimization method and device, equipment and storage medium

By adjusting the vehicle model in stages, combining dynamic stiffness and NVH index simulation results, the NVH index of the vehicle's attention component area is optimized, which solves the problem of inefficient optimization of vehicle NVH indexes and achieves more efficient vibration and noise performance optimization.

CN119557970APending Publication Date: 2025-03-04ZHEJIANG LEAPMOTOR TECH CO LTD
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Patent Information

Application Number
CN202411391156.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-30
Publication Date
2025-03-04

AI Technical Summary

Technical Problem

Vehicle NVH index optimization efficiency is inefficient, especially in the focus area, and it is difficult to effectively improve vibration and noise performance.

Method used

By adjusting the vehicle model in stages, first adjusting the initial model based on the dynamic stiffness simulation results, obtaining the first adjustment model, and then further adjusting based on the NVH index simulation results, obtaining the second adjustment model, and finally optimizing the attention component area based on the second adjustment model until the preset NVH index requirements are met.

Benefits of technology

The optimization efficiency of NVH index in the vehicle's focus area is improved, and the problem that seems reasonable in dynamic stiffness simulation but produces adverse effects in NVH index simulation is avoided, and the situation of large-scale modification is reduced.

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Abstract

The invention discloses a vehicle NVH index optimization method and device, equipment and a storage medium, and the method comprises the steps: obtaining an initial model of a target vehicle, and the initial model comprises a concerned part region of the target vehicle; adjusting the initial model based on the first dynamic stiffness simulation result of the initial model to obtain a first adjustment model; adjusting the first adjustment model based on a first NVH index simulation result of the first adjustment model to obtain a second adjustment model; performing optimization processing on the concerned part area in the second adjustment model to obtain a target optimization model; wherein the NVH index result of the concerned part area in the target optimization model meets a preset NVH index requirement. In this way, the NVH index optimization efficiency of the vehicle concerned component area can be improved.
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Description

Technical Field

[0001] The present application relates to the field of vehicle engineering technology, and in particular to a vehicle NVH index optimization method, device and storage medium. Background Art

[0002] The NVH performance (Noise, Vibration, Harshness) of a vehicle is one of the important indicators for measuring the quality of a vehicle. How to effectively control and optimize the NVH performance of a vehicle has become a focus of attention for automobile manufacturers and engineers.

[0003] With the rapid development of computer simulation technology, especially the application of finite element analysis (FEA) and computational fluid dynamics (CFD), powerful tools have been provided for the prediction and optimization of vehicle NVH performance. Through simulation analysis, engineers can conduct a comprehensive NVH performance evaluation of the vehicle in a virtual environment and make targeted adjustments to the design based on the simulation results, thereby significantly improving the design efficiency and optimization effect. Among them, due to the complex structure of the vehicle, the optimization efficiency of the vehicle NVH index is low, and how to improve the optimization efficiency of the vehicle NVH index is of great significance. Summary of the invention

[0004] The main technical problem solved by the present application is to provide a vehicle NVH index optimization method, device, equipment and storage medium, which can improve the NVH index optimization efficiency of the vehicle's focus area.

[0005] In order to solve the above technical problems, a technical solution adopted in the present application is: to provide a vehicle NVH index optimization method, the method comprising: obtaining an initial model of the target vehicle, the initial model including a focus component area of ​​the target vehicle; adjusting the initial model based on a first dynamic stiffness simulation result of the initial model to obtain a first adjustment model; adjusting the first adjustment model based on a first NVH index simulation result of the first adjustment model to obtain a second adjustment model; optimizing the focus component area in the second adjustment model to obtain a target optimization model; wherein the NVH index results of the focus component area in the target optimization model meet the preset NVH index requirements.

[0006] Wherein, adjusting the initial model based on the first dynamic stiffness simulation result of the initial model to obtain the first adjustment model includes: adjusting the initial model based on the first difference between the first dynamic stiffness simulation result and the second dynamic stiffness simulation result of the finite element model of the target vehicle to obtain the first adjustment model; the difference between the third dynamic stiffness simulation result of the first adjustment model and the second dynamic stiffness simulation result is not greater than a first threshold value; and / or, adjusting the first adjustment model based on the first NVH index simulation result of the first adjustment model to obtain the second adjustment model, including: adjusting the first adjustment model based on the second difference between the first NVH index simulation result and the NVH index test result of the target vehicle to obtain the second adjustment model; the difference between the second NVH index simulation result of the second adjustment model and the NVH index test result is not greater than a second threshold value.

[0007] Among them, based on a first difference between a first dynamic stiffness simulation result and a second dynamic stiffness simulation result of a finite element model of a target vehicle, adjusting the initial model to obtain a first adjusted model includes: based on the first difference, adjusting a focus component area in the initial model to obtain the first adjusted model.

[0008] Among them, the focus component area includes the area where the focus component is located in the target vehicle; obtaining the initial model of the target vehicle includes: obtaining a finite element model of the target vehicle; dividing the finite element model based on the focus component area in the target vehicle to obtain a first finite element model and a second finite element model; the first finite element model includes the focus component area, and the second finite element model includes a non-focus component area in the target vehicle except the focus component area; obtaining an initial model based on the first finite element model and a super unit model obtained by processing the second finite element model.

[0009] The step of optimizing the focus component region in the second adjustment model to obtain a target optimization model includes: optimizing at least the focus component in the focus component region to obtain a target optimization model.

[0010] Among them, the focus component area also includes the area where the connection relationship of the focus component in the target vehicle is located; at least the focus component in the focus component area is optimized to obtain a target optimization model, including: optimizing the focus component and the connection relationship in the focus component area to obtain a target optimization model.

[0011] Among them, before adjusting the first adjustment model based on the first NVH index simulation result of the first adjustment model to obtain the second adjustment model, it also includes: adding a fastening component to the first adjustment model, and using the first adjustment model after adding the fastening component as a new first adjustment model.

[0012] In order to solve the above technical problems, another technical solution adopted in the present application is: to provide a vehicle NVH index optimization device, including: an acquisition module, a first adjustment module, a second adjustment module and an optimization module; wherein the acquisition module is used to obtain an initial model of a target vehicle, and the initial model includes a component area of ​​interest of the target vehicle; the first adjustment module is used to adjust the initial model based on a first dynamic stiffness simulation result of the initial model to obtain a first adjustment model; the second adjustment module is used to adjust the first adjustment model based on a first NVH index simulation result of the first adjustment model to obtain a second adjustment model; the optimization module is used to optimize the component area of ​​interest in the second adjustment model to obtain a target optimization model; wherein the NVH index result of the component area of ​​interest in the target optimization model meets the preset NVH index requirements.

[0013] To solve the above technical problems, another technical solution adopted in the present application is: to provide an electronic device, comprising a memory and a processor coupled to each other, the memory storing program instructions; the processor is used to execute the program instructions stored in the memory to implement the above method.

[0014] In order to solve the above technical problem, another technical solution adopted by the present application is: providing a computer-readable storage medium for storing program instructions, which can be executed to implement the above method.

[0015] In the above scheme, after obtaining the initial model of the target vehicle, the initial model of the target vehicle is adjusted in stages to obtain a second adjustment model. Specifically, the initial model is first adjusted using the dynamic stiffness simulation results to obtain a first adjustment model, and then the first adjustment model is adjusted using the NVH index simulation results to obtain a second adjustment model. Finally, the concerned component area is optimized on the basis of the second adjustment model to obtain a target optimization model, wherein the initial model includes the concerned component area of ​​the target vehicle, and the NVH index results of the concerned component area in the target optimization model meet the preset NVH index requirements. Compared with the method of adjusting the initial model only based on the dynamic stiffness simulation results to obtain the first adjustment model, and optimizing the NVH index of the concerned component based on the first adjustment model, the staged adjustment method of the present application can avoid the problem of generating adverse vibration and noise during the simulation process of the NVH index of the concerned component, which leads to large-scale modifications, thereby improving the optimization efficiency of the NVH index of the concerned component. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of an embodiment of a vehicle NVH index optimization method provided by the present application;

[0017] Figure 2It is a schematic diagram of the framework of an embodiment of a vehicle NVH index optimization device provided by the present application;

[0018] Figure 3 It is a schematic diagram of a framework of an embodiment of an electronic device provided by the present application;

[0019] Figure 4 It is a schematic diagram of the framework of the computer-readable storage medium provided by this application. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and effect of the present application clearer and more specific, the present application is further described in detail below with reference to the accompanying drawings and examples.

[0021] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0022] See also Figure 1 , Figure 1 1 is a flow chart of an embodiment of the vehicle NVH index optimization method provided by the present application. It should be noted that if there are substantially the same results, this embodiment is not used. Figure 1 The process sequence shown is limited. Figure 1 As shown, this embodiment includes:

[0023] S11: Acquire an initial model of the target vehicle, where the initial model includes a focus component region of the target vehicle.

[0024] After obtaining the initial model of the target vehicle, this embodiment gradually adjusts the model in stages based on the dynamic stiffness simulation and NVH index simulation results, and finally optimizes the area of ​​the component of interest. The core of this method is to gradually approach the ideal NVH index performance target through multiple iterative simulations, thereby achieving efficient and accurate optimization.

[0025] In addition, this embodiment first uses dynamic stiffness simulation to identify the stiffness characteristics of the body structure under dynamic loads. Adjustments at this stage are mainly focused on improving the overall rigidity and stability of the body structure, providing a good foundation for subsequent NVH index optimization.

[0026] Based on the first adjustment model after dynamic stiffness simulation adjustment, NVH index simulation is performed. NVH index simulation can more accurately reflect the vibration and noise characteristics of the vehicle in actual operation. Through this stage of adjustment, specific vibration and noise sources can be accurately optimized to reduce unnecessary iterations.

[0027] The staged adjustment method of this embodiment makes the optimization of each stage clearer and more efficient. In the dynamic stiffness simulation stage, the structural strength and stability problems can be solved; in the NVH index simulation stage, the focus can be on vibration and noise suppression. In addition, since the simulation results of each step provide a solid foundation for the next step of optimization, it can greatly reduce unnecessary duplication of work and trial and error costs, and improve the overall optimization efficiency.

[0028] In this embodiment, the target vehicle may be any type of vehicle, or a vehicle at any stage, such as a vehicle at a development stage, or a vehicle at a use stage.

[0029] The focus component area is the area where the components to be optimized (i.e., the focus components that need to be focused) in the target vehicle are located. The components to be optimized can be determined based on the components that have problems in the actual vehicle stage, and the area near the problematic components is taken as the focus component area. The components to be optimized in the target vehicle and the corresponding focus component area can also be determined based on actual experience or actual needs.

[0030] In some embodiments, considering that the connection relationship between different components is crucial to the overall strength, stiffness and NVH performance of the vehicle body, the focus component area may also include the area where the connection relationship of the focus component is located in the target vehicle, so that the connection relationship of the focus component can be optimized later, so that the target vehicle after the final optimization can achieve better NVH performance. The connection relationship is, for example, welding, screwing or gluing.

[0031] In this embodiment, obtaining the initial model of the target vehicle includes at least the following two methods:

[0032] Method 1: Obtain a finite element model of the target vehicle, directly use the finite element model of the target vehicle as the initial model of the target vehicle, and then perform subsequent optimization processing.

[0033] Method 2: first obtain a finite element model of the target vehicle, then divide the finite element model based on the focus component area in the target vehicle to obtain a first finite element model and a second finite element model; wherein the first finite element model obtained by dividing includes the focus component area, and the second finite element model includes the non-focus component area in the target vehicle except the focus component area; finally, obtain an initial model based on the first finite element model and a super unit model obtained by processing the second finite element model.

[0034] The initial hybrid model in the second method is a hybrid model of the super-element model obtained by processing the first finite element model and the second finite element model. The super-element model is obtained by condensing the second finite element model by the super-element method, wherein the super-element method can significantly reduce the dimension of the stiffness matrix by condensing the degree of freedom, thereby reducing the generation time, and also reducing the calculation scale for subsequent calculations and improving the calculation efficiency.

[0035] Therefore, in order to reduce the amount of calculation required for the overall processing, it is preferred to use method 2 to obtain the initial model.

[0036] It should be noted that after the finite element model is divided to obtain the first finite element model and the second finite element model, the super-element boundary points can be defined based on the sections of the first finite element model after division. After the definition of the super-element boundary points of all sections is completed, the plot unit can be used to connect all boundary points for subsequent calculation and selection. The second finite element model is taken as a super-element object, and the CBN algorithm is used to perform CMS super-element condensation to obtain the super-element model of the non-focus component area (the area in the target vehicle other than the focus component area), and then the initial model is obtained based on the first finite element model and the super-element model obtained by processing the second finite element model.

[0037] Among them, the method of defining the super unit boundary points can be selected according to actual needs.

[0038] For example, based on the section, an Rbe2 unit located in the section area of ​​the first finite element model can be generated, and then the main node of this Rbe2 unit can be used as the common node position to capture the section area of ​​the super-element model to generate a new Rbe2 unit. This Rbe2 unit belongs to the super-element model, and then the first finite element model and the super-element model are associated through two Rbe2 units with the same main node number.

[0039] For another example, based on the cut surface, an Rbe2 unit located in the cross-sectional area of ​​the first finite element model can be created. Then the Rbe2 unit is copied and output to the super-element model. Considering that the positions of the cut surface units of the two models are consistent, the copied Rbe2 unit can be connected to the super-element model through the function of merging nodes, and then the main node number of the copied Rbe2 unit is renamed to be consistent with the Rbe2 unit node of the first finite element model, and the first finite element model and the super-element model can be associated.

[0040] S12: Adjusting the initial model based on the first dynamic stiffness simulation result of the initial model to obtain a first adjusted model.

[0041] In one embodiment, in order to make the dynamic stiffness characteristics of the adjusted first adjustment model match the dynamic stiffness characteristics of the finite element model of the target vehicle, the initial model can be adjusted based on the first difference between the first dynamic stiffness simulation result and the second dynamic stiffness simulation result of the finite element model of the target vehicle to obtain the first adjustment model; the difference between the third dynamic stiffness simulation result of the first adjustment model and the second dynamic stiffness simulation result is not greater than the first threshold.

[0042] In summary, this embodiment uses the first difference to adjust the initial model accordingly to reduce or eliminate the dynamic stiffness difference, thereby obtaining a first adjusted model. The difference between the dynamic stiffness simulation result of the first adjusted model and the dynamic stiffness simulation result of the finite element model of the target vehicle should not be greater than a first threshold value to ensure the effectiveness of the adjustment.

[0043] It should be noted that the process of adjusting the initial model based on the first difference between the first dynamic stiffness simulation result and the second dynamic stiffness simulation result of the finite element model of the target vehicle is a process that requires multiple iterations. Exemplarily, after adjusting the initial model based on the first difference determined by the first simulation, the adjusted initial model is used as the current initial model, and the first difference between the first dynamic stiffness simulation result and the second dynamic stiffness simulation result of the finite element model of the target vehicle is re-executed to adjust the initial model and subsequent steps until the first difference between the first dynamic stiffness simulation result of the current initial model and the second dynamic stiffness simulation result of the finite element model of the target vehicle is not greater than the first threshold value, and the initial model obtained by the last adjustment is used as the first adjusted model. Among them, the first threshold value can be pre-set based on actual experience.

[0044] In a specific embodiment, in the process of adjusting the initial model based on the first difference between the first dynamic stiffness simulation result and the second dynamic stiffness simulation result of the finite element model of the target vehicle to obtain the first adjusted model, the focus component area in the initial model can be adjusted based on the first difference to obtain the first adjusted model.

[0045] Of course, the body side welding relationship in the initial model may also be adjusted based on the first difference and actual experience, for example, the Rbe2 unit representing the welding may be changed to a shell unit connection with a certain thickness to obtain the first adjusted model.

[0046] In a specific embodiment, the initial model is a model obtained based on the first finite element model and the super-element model obtained by processing the second finite element model. In this embodiment, on the basis of obtaining the first finite element model and the super-element model, relevant analysis items can be applied to the first finite element model, and the super-element results can be referenced using the ASSIGN statement in the model calculation header file. The specific statement is ASSIGN, H3DDMIG, TBCMS, 'filename', that is, the creation of the initial model is completed, and the dynamic stiffness simulation results of the initial model are obtained by calculation.

[0047] S13: adjusting the first adjustment model based on the first NVH index simulation result of the first adjustment model to obtain a second adjustment model.

[0048] In one embodiment, in order to make the NVH index characteristics of the second adjustment model finally adjusted match the measured NVH index characteristics of the target vehicle, the first adjustment model can be adjusted based on the second difference between the first NVH index simulation result and the NVH index test result of the target vehicle to obtain the second adjustment model; the difference between the second NVH index simulation result of the second adjustment model and the NVH index test result is not greater than the second threshold.

[0049] In summary, this embodiment can identify the deficiencies or deviations of the first adjustment model in terms of NVH indicators by comparing the NVH indicator simulation results of the first adjustment model with the measured NVH indicator results of the target vehicle, and further adjust the first adjustment model based on the second difference, which can reduce or eliminate these differences, thereby obtaining the second adjustment model.

[0050] The difference between the NVH index simulation result of the second adjustment model and the actual NVH index result of the target vehicle should be no greater than a second threshold value to ensure that the simulation model can accurately reflect the NVH index characteristics of the target vehicle.

[0051] It should be noted that the process of adjusting the first adjustment model based on the second difference between the first NVH index simulation result and the NVH index test result of the target vehicle is also a process that requires multiple iterations. Exemplarily, after adjusting the first adjustment model based on the second difference determined by the first simulation, the adjusted first adjustment model is used as the current first adjustment model, and the first adjustment model and subsequent steps are adjusted based on the second difference between the first NVH index simulation result and the NVH index test result of the target vehicle, until the second difference between the NVH index simulation result of the current first adjustment model and the measured NVH index result of the target vehicle is not greater than the second threshold, and the first adjustment model obtained by the last adjustment is used as the second adjustment model. Among them, the second threshold can be pre-set based on actual experience.

[0052] It should be noted that the phased and step-by-step approach of step S12 and step S13 can also help ensure that the simulation model is consistent with the target vehicle in multiple key characteristics, thereby improving the accuracy and reliability of the simulation.

[0053] In some embodiments, before adjusting the first adjustment model based on the first NVH index simulation result of the first adjustment model to obtain the second adjustment model, a fastening component may be added to the first adjustment model, and the first adjustment model after adding the fastening component is used as a new first adjustment model.

[0054] The fastening components in this embodiment are components used to connect, fix and support other components to increase the stability and safety of the vehicle. The fastening components are, for example, bolts, studs, nuts, screws, etc., or accessories connected to bolts, studs, nuts or screws.

[0055] Furthermore, in the process of adjusting the first adjustment model based on the second difference between the first NVH index simulation result of the first adjustment model and the actual NVH index result of the target vehicle to obtain the second adjustment model, the welding relationship on the body side can be adjusted, for example, the Rbe2 unit representing the welding can be changed to a shell unit connection with a certain thickness, and the simulation of the fastening relationship of the components can also be considered. For example, Bush spring units of different lengths, directions and stiffnesses can be added to characterize the dynamic characteristics such as the bounce modal influence of the fastening components in the actual working process, thereby improving the accuracy and reliability of the simulation.

[0056] In a specific embodiment, the fastening component is a bolt. In the process of simulating the fastening relationship of the components, Bush spring units with different lengths and different stiffnesses in different directions may be added to characterize the vibration modal influence of the fastening bolt.

[0057] This embodiment takes into account that although the fastening components have NVH index representations, the state presented is not necessarily ideal and there may be bounce. The Bush spring unit is added to model the characteristics of the bounce, so as to take into account the influence of the bounce in the process of adjusting the first adjustment model based on the second difference between the first NVH index simulation result of the first adjustment model and the actual NVH index result of the target vehicle, thereby improving the accuracy and reliability of the simulation.

[0058] S14: Optimizing the concerned component region in the second adjustment model to obtain a target optimization model; wherein the NVH index result of the concerned component region in the target optimization model meets the preset NVH index requirement.

[0059] In this embodiment, based on the second adjustment model, at least the concerned component in the concerned component area of ​​the model can be optimized to obtain a final target optimization model, wherein the NVH index result of the concerned component area in the optimized target optimization model meets the preset NVH index requirement. The preset NVH index requirement is a pre-set NVH index performance requirement.

[0060] In one embodiment, considering the impact of the connection relationship of the focus components on the NVH index, the focus component area can be set to include not only the area where the focus components in the target vehicle are located, but also the area where the connection relationship of the focus components in the target vehicle is located, and in the process of optimizing the focus component area, the focus components and the connection relationship of the focus components in the focus component area are optimized to obtain the final target optimization model.

[0061] It should be noted that, in this embodiment, the connection relationship of the concerned component is included in the first finite element model, so the super-element model does not include the connection relationship of the concerned component. This setting of this embodiment can optimize the connection relationship of the concerned component.

[0062] The above process of optimizing the focus component area in the second adjustment model is also iteratively performed until the NVH index results of the focus component area meet the preset NVH index requirements, and the second adjustment model that meets this condition is used as the target optimization model.

[0063] Among them, the components of interest are optimized, for example, by adjusting the thickness of the materials of the components of interest, the shape of the cross-section, etc.; the connection relationships are optimized, for example, by increasing the area of ​​the welding area, changing the welding method, or increasing the number of screw points or optimizing the screw layout, etc.

[0064] In some embodiments, after completing the optimization of the above-mentioned components of interest and / or connection relationships, the optimization scheme can also be simulated and verified using a finite element model. Based on the verification results, the design and optimization strategies of the components of interest and / or connection relationships are continuously optimized to ensure the accuracy of the simulation results.

[0065] In the above scheme, after obtaining the initial model of the target vehicle, the initial model of the target vehicle is adjusted in stages to obtain a second adjustment model. Specifically, the initial model is first adjusted using the dynamic stiffness simulation results to obtain a first adjustment model, and then the first adjustment model is adjusted using the NVH index simulation results to obtain a second adjustment model. Finally, the concerned component area is optimized on the basis of the second adjustment model to obtain a target optimization model, wherein the initial model includes the concerned component area of ​​the target vehicle, and the NVH index results of the concerned component area in the target optimization model meet the preset NVH index requirements. Compared with the method of adjusting the initial model only based on the dynamic stiffness simulation results to obtain the first adjustment model, and optimizing the NVH index of the concerned component based on the first adjustment model, the staged adjustment method of the present application can avoid the problem of generating adverse vibration and noise during the simulation process of the NVH index of the concerned component, which leads to large-scale modifications, thereby improving the optimization efficiency of the NVH index of the concerned component.

[0066] See also Figure 2 , Figure 2 It is a framework schematic diagram of an embodiment of a vehicle NVH index optimization device provided by the present application. In this embodiment, the vehicle NVH index optimization device 20 includes an acquisition module 21, a first adjustment module 22, a second adjustment module 23 and an optimization module 24. Among them, the acquisition module 21 is used to obtain the initial model of the target vehicle, and the initial model includes the focus component area of ​​the target vehicle; the first adjustment module 22 is used to adjust the initial model based on the first dynamic stiffness simulation result of the initial model to obtain the first adjustment model; the second adjustment module 23 is used to adjust the first adjustment model based on the first NVH index simulation result of the first adjustment model to obtain the second adjustment model; the optimization module 24 is used to optimize the focus component area in the second adjustment model to obtain the target optimization model; wherein the NVH index result of the focus component area in the target optimization model meets the preset NVH index requirements.

[0067] In some embodiments, the first adjustment module 22 adjusts the initial model based on the first dynamic stiffness simulation result of the initial model to obtain the first adjustment model, including: adjusting the initial model based on the first difference between the first dynamic stiffness simulation result and the second dynamic stiffness simulation result of the finite element model of the target vehicle to obtain the first adjustment model; the difference between the third dynamic stiffness simulation result of the first adjustment model and the second dynamic stiffness simulation result is no greater than a first threshold; and / or, the second adjustment module 23 adjusts the first adjustment model based on the first NVH index simulation result of the first adjustment model to obtain the second adjustment model, including: adjusting the first adjustment model based on the second difference between the first NVH index simulation result and the NVH index test result of the target vehicle to obtain the second adjustment model; the difference between the second NVH index simulation result of the second adjustment model and the NVH index test result is no greater than a second threshold.

[0068] In some embodiments, based on a first difference between a first dynamic stiffness simulation result and a second dynamic stiffness simulation result of a finite element model of a target vehicle, an initial model is adjusted to obtain a first adjusted model, including: based on the first difference, adjusting a component area of ​​interest in the initial model to obtain the first adjusted model.

[0069] In some embodiments, the component area of ​​interest includes the area where the component of interest is located in the target vehicle; the acquisition module 21 acquires the initial model of the target vehicle, including: acquiring a finite element model of the target vehicle; dividing the finite element model based on the component area of ​​interest in the target vehicle to obtain a first finite element model and a second finite element model; the first finite element model includes the component area of ​​interest, and the second finite element model includes the non-component area of ​​interest in the target vehicle except the component area of ​​interest; and obtaining an initial model based on the first finite element model and a super unit model obtained by processing the second finite element model.

[0070] In some embodiments, the optimization module 24 optimizes the component of interest region in the second adjustment model to obtain a target optimization model, including: optimizing at least the component of interest in the component of interest region to obtain a target optimization model.

[0071] In some embodiments, the focus component area also includes the area where the connection relationship of the focus component in the target vehicle is located; at least the focus component in the focus component area is optimized to obtain a target optimization model, including: optimizing the focus component and the connection relationship in the focus component area to obtain a target optimization model.

[0072] In some embodiments, before the second adjustment module 23 adjusts the first adjustment model based on the first NVH index simulation result of the first adjustment model to obtain the second adjustment model, it also includes: adding a fastening component to the first adjustment model, and using the first adjustment model after adding the fastening component as a new first adjustment model.

[0073] See also Figure 3 , Figure 3 1 is a schematic diagram of a framework of an electronic device according to an embodiment of the present application. In this embodiment, the electronic device 30 includes a memory 31 and a processor 32 coupled to each other.

[0074] The memory 31 stores program instructions, and the processor 32 is used to execute the program instructions stored in the memory 31 to implement the steps of any of the above method implementations. In a specific implementation scenario, the electronic device 30 may include but is not limited to: a microcomputer, a server, and in addition, the electronic device 30 may also include a mobile device such as a laptop computer and a tablet computer, which is not limited here.

[0075] Specifically, the processor 32 is used to control itself and the memory 31 to implement the steps of any of the above-mentioned embodiments. The processor 32 can also be called a CPU (Central Processing Unit). The processor 32 may be an integrated circuit chip with signal processing capabilities. The processor 32 can also be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field-programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. In addition, the processor 32 can be implemented by an integrated circuit chip.

[0076] See also Figure 4 , Figure 4It is a schematic diagram of the framework of the computer-readable storage medium provided by the present application. The computer-readable storage medium 40 of the embodiment of the present application stores a program instruction 41, and when the program instruction 41 is executed, the method provided by any embodiment of the above method and any non-conflicting combination is implemented. Among them, the program instruction 41 can form a program file and be stored in the above-mentioned computer-readable storage medium 40 in the form of a software product, so that a computer device (which can be a personal computer, a server, or a network device, etc.) executes all or part of the steps of each implementation method of the present application. The aforementioned computer-readable storage medium 40 includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, or a terminal device such as a computer, a server, a mobile phone, and a tablet.

[0077] In the above scheme, after obtaining the initial model of the target vehicle, the initial model of the target vehicle is adjusted in stages to obtain a second adjustment model. Specifically, the initial model is first adjusted using the dynamic stiffness simulation results to obtain a first adjustment model, and then the first adjustment model is adjusted using the NVH index simulation results to obtain a second adjustment model. Finally, the concerned component area is optimized on the basis of the second adjustment model to obtain a target optimization model, wherein the initial model includes the concerned component area of ​​the target vehicle, and the NVH index results of the concerned component area in the target optimization model meet the preset NVH index requirements. Compared with the method of adjusting the initial model only based on the dynamic stiffness simulation results to obtain the first adjustment model, and optimizing the NVH index of the concerned component based on the first adjustment model, the staged adjustment method of the present application can avoid the problem of generating adverse vibration and noise during the simulation process of the NVH index of the concerned component, which leads to large-scale modifications, thereby improving the optimization efficiency of the NVH index of the concerned component.

[0078] In some embodiments, the functions or modules included in the device provided by the embodiments of the present disclosure can be used to execute the method described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0079] The above description of various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced to each other, and for the sake of brevity, they will not be repeated herein.

[0080] In the several embodiments provided in the present application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device implementation described above is only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation, such as 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, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0081] 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 network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0082] In addition, each functional unit in each embodiment of the present application 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.

[0083] 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 storage medium. Based on this understanding, the technical solution of the present application is essentially 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 storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of each implementation method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

[0084] The above description is only an implementation method of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly used in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A vehicle NVH index optimization method, characterized in that: The method comprises: Acquire an initial model of a target vehicle, wherein the initial model includes a component region of interest of the target vehicle; adjusting the initial model based on a first dynamic stiffness simulation result of the initial model to obtain a first adjusted model; Adjusting the first adjustment model based on the first NVH index simulation result of the first adjustment model to obtain a second adjustment model; The focus component area in the second adjustment model is optimized to obtain a target optimization model; wherein the NVH index result of the focus component area in the target optimization model meets the preset NVH index requirement.

2. The method according to claim 1, characterized in that The step of adjusting the initial model based on the first dynamic stiffness simulation result of the initial model to obtain a first adjusted model includes: Based on a first difference between the first dynamic stiffness simulation result and a second dynamic stiffness simulation result of a finite element model of a target vehicle, adjusting the initial model to obtain the first adjusted model; a difference between a third dynamic stiffness simulation result of the first adjusted model and the second dynamic stiffness simulation result is not greater than a first threshold; And / or, adjusting the first adjustment model based on the first NVH index simulation result of the first adjustment model to obtain a second adjustment model includes: Based on a second difference between the first NVH index simulation result and the NVH index test result of the target vehicle, the first adjustment model is adjusted to obtain the second adjustment model; the difference between the second NVH index simulation result of the second adjustment model and the NVH index test result is not greater than a second threshold.

3. The method according to claim 2, characterized in that The adjusting the initial model based on a first difference between the first dynamic stiffness simulation result and a second dynamic stiffness simulation result of the finite element model of the target vehicle to obtain the first adjusted model includes: Based on the first difference, the focus component region in the initial model is adjusted to obtain the first adjusted model.

4. The method according to claim 1, characterized in that The concerned component area includes an area where the concerned component is located in the target vehicle; The obtaining of the initial model of the target vehicle comprises: Obtain a finite element model of a target vehicle; Based on the concerned component region in the target vehicle, the finite element model is divided to obtain a first finite element model and a second finite element model; the first finite element model includes the concerned component region, and the second finite element model includes a non-concerned component region in the target vehicle except the concerned component region; The initial model is obtained based on the first finite element model and the super element model obtained by processing the second finite element model.

5. The method according to claim 1 or 4, characterized in that: The step of optimizing the focus component region in the second adjustment model to obtain a target optimization model includes: At least the component of interest in the component of interest region is optimized to obtain the target optimization model.

6. The method according to claim 5, characterized in that The component-of-interest region also includes a region in the target vehicle where the connection relationship of the component-of-interest is located; The step of optimizing at least the component of interest in the component of interest region to obtain the target optimization model comprises: The focus component and the connection relationship in the focus component area are optimized to obtain the target optimization model.

7. The method according to claim 1, characterized in that Before adjusting the first adjustment model based on the first NVH index simulation result of the first adjustment model to obtain a second adjustment model, the method further includes: A fastening component is added to the first adjustment model, and the first adjustment model after the fastening component is added is used as a new first adjustment model.

8. A vehicle NVH index optimization device, characterized in that: The device comprises: An acquisition module, used for acquiring an initial model of a target vehicle, wherein the initial model includes a component area of ​​interest of the target vehicle; A first adjustment module, configured to adjust the initial model based on a first dynamic stiffness simulation result of the initial model to obtain a first adjusted model; A second adjustment module, configured to adjust the first adjustment model based on a first NVH index simulation result of the first adjustment model to obtain a second adjustment model; The optimization module is used to optimize the focus component area in the second adjustment model to obtain a target optimization model; wherein the NVH index result of the focus component area in the target optimization model meets the preset NVH index requirement.

9. An electronic device, characterized in that: comprising a memory and a processor coupled to each other, The memory stores program instructions; The processor is used to execute the program instructions stored in the memory to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program instructions that can be run by a processor, and the program instructions can be executed by the processor to implement the method according to any one of claims 1 to 7.