Suspension assembly road noise optimization method and device and computer storage medium

Abstract

The invention provides a suspension assembly road noise optimization method, a suspension assembly road noise optimization device and a computer storage medium. The suspension assembly road noise optimization method comprises the steps of obtaining a suspension assembly finite element model; inputting unit displacement excitation to the suspension assembly finite element model, and solving a suspension assembly response curve of the suspension assembly finite element model; obtaining the performance risk peak frequency of the suspension assembly response curve; performing contribution analysis on the suspension assembly based on the performance risk peak frequency to obtain modal contribution of each modal of the suspension assembly; and optimizing the modal of the suspension assembly of which the modal contribution meets the optimization condition. Through the suspension assembly road noise optimization method, the road noise performance of the suspension assembly after flexible connection is objectively evaluated, the main vibration transmission path of the suspension assembly is identified, guidance is provided for performance optimization, main performance influence factors are rapidly determined, and clear optimization direction guidance is provided.

Description

Technical Field

[0001] The present application relates to the technical field of vibration and noise control, and in particular to a suspension assembly road noise optimization method, a suspension assembly road noise optimization device, and a computer storage medium. Background Art

[0002] Cars are an indispensable part of people's lives. With the development of society and the advancement of technology, people have higher and higher requirements for the quality of life. NVH (Noise, Vibration, Harshness) performance is a key factor that consumers consider when buying cars. Generally, the factors that affect the NVH performance of cars can be decomposed into sources, paths, and response points. The most important source is the powertrain system that provides power for the vehicle. While providing power for the car, the powertrain also provides excitation to the vibration response points in the car, which is transmitted into the car through the body or frame, thereby causing vibration and noise in the cab; therefore, how to isolate or reduce the excitation of the powertrain is an important means to control the NVH of the whole vehicle.

[0003] However, current technology is unable to accurately identify the contribution of the suspension assembly to the road noise inside the vehicle, resulting in the inability to objectively evaluate the road noise performance of the suspension assembly and to achieve better optimization results. Summary of the invention

[0004] In order to solve the above technical problems, the present application proposes a suspension assembly road noise optimization method, a suspension assembly road noise optimization device and a computer storage medium.

[0005] In order to solve the above technical problems, the present application proposes a suspension assembly road noise optimization method, which comprises:

[0006] Obtain the finite element model of the suspension assembly;

[0007] Inputting a unit displacement excitation into the suspension assembly finite element model to solve a suspension assembly response curve of the suspension assembly finite element model;

[0008] Obtaining a performance risk peak frequency of a response curve of the suspension assembly;

[0009] Performing contribution analysis on the suspension assembly based on the performance risk peak frequency to obtain modal contribution of each mode of the suspension assembly;

[0010] The suspension assembly modes whose modal contributions meet the optimization conditions are optimized.

[0011] Wherein, before inputting the unit displacement excitation into the suspension assembly finite element model, the suspension assembly road noise optimization method further includes:

[0012] The six degrees of freedom of each connection point between the suspension and the vehicle body, and / or the tire contact point in the finite element model of the suspension assembly are input.

[0013] Wherein, inputting unit displacement excitation to the suspension assembly finite element model comprises:

[0014] Unit displacement excitations in different directions are applied to the wheels of the suspension assembly finite element model.

[0015] Wherein, the directions of the unit displacement excitation include X direction, Y direction, and Z direction;

[0016] The step of applying unit displacement excitations in different directions to the wheels of the suspension assembly finite element model comprises:

[0017] Applying a unit displacement excitation in the X direction and / or a unit displacement excitation in the Z direction to the center of the wheel rim of the suspension assembly finite element model;

[0018] A unit displacement excitation in the Y direction is applied to the tire contact point of the suspension assembly finite element model.

[0019] Wherein, solving the suspension assembly response curve of the suspension assembly finite element model includes:

[0020] Obtaining connection point response curves of each connection point between the suspension and the vehicle body of the suspension assembly finite element model;

[0021] Take the root of the sum of squares of all the connection point response curves to obtain the suspension assembly response curve.

[0022] Wherein, after inputting the unit displacement excitation into the suspension assembly finite element model, the suspension assembly road noise optimization method further includes:

[0023] Solving the transfer response curve of each transfer path of the suspension assembly finite element model;

[0024] Based on the transfer response curve of each transfer path and the suspension assembly response curve, obtaining a transfer path contribution of each transfer path;

[0025] The transfer paths whose contribution amounts satisfy the optimization conditions are optimized.

[0026] The step of optimizing the transfer paths whose transfer path contributions satisfy the optimization conditions includes:

[0027] For the transfer paths whose transfer path contributions satisfy the optimization conditions, component elastic body modal optimization, component stiffness optimization, and / or suspension hard point arrangement optimization are performed.

[0028] Wherein, after solving the transfer response curves of each transfer path of the suspension assembly finite element model, the suspension assembly road noise optimization method further includes:

[0029] Based on the transfer response curves of each transfer path, an active side response curve and a passive side response curve of a target component in the suspension assembly are obtained;

[0030] Calculating the attenuation rate of the target component to vibration based on the active side response curve and the passive side response curve;

[0031] The stiffness of the target component is optimized according to the attenuation rate.

[0032] In order to solve the above-mentioned technical problems, the present application also proposes a suspension assembly road noise optimization device, which includes a memory and a processor coupled to the memory; wherein the memory is used to store program data, and the processor is used to execute the program data to implement the suspension assembly road noise optimization method as described above.

[0033] In order to solve the above technical problems, the present application also proposes a computer storage medium, which is used to store program data. When the program data is executed by a computer, it is used to implement the above suspension assembly road noise optimization method.

[0034] Compared with the prior art, the beneficial effects of the present application are as follows: the suspension assembly road noise optimization device obtains the suspension assembly finite element model; inputs unit displacement excitation to the suspension assembly finite element model to solve the suspension assembly response curve of the suspension assembly finite element model; obtains the performance risk peak frequency of the suspension assembly response curve; performs contribution analysis on the suspension assembly based on the performance risk peak frequency to obtain the modal contribution of each mode of the suspension assembly; optimizes the suspension assembly mode whose modal contribution meets the optimization conditions. Through the above suspension assembly road noise optimization method, the road noise performance of the suspension assembly after the flexible connection is objectively evaluated, its main vibration transmission path is identified, and guidance is provided for performance optimization, the main performance influencing factors are quickly determined, and clear optimization direction guidance is provided. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0036] in:

[0037] Figure 1It is a flow chart of a first embodiment of a suspension assembly road noise optimization method provided by the present application;

[0038] Figure 2 It is a schematic diagram of the overall process of the suspension assembly road noise optimization method provided by the present application;

[0039] Figure 3 yes Figure 1 The specific flow chart of step S12 of the suspension assembly road noise optimization method is shown;

[0040] Figure 4 It is a flow chart of a second embodiment of the suspension assembly road noise optimization method provided by the present application;

[0041] Figure 5 It is a flow chart of a third embodiment of the suspension assembly road noise optimization method provided by the present application;

[0042] Figure 6 It is a structural schematic diagram of an embodiment of a suspension assembly road noise optimization device provided by the present application;

[0043] Figure 7 It is a structural diagram of an embodiment of a computer storage medium provided by the present application. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0045] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application 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 interchangeable where appropriate, so that the embodiments of the present application described herein can, for example, be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units 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.

[0046] This application is based on finite element theory and relates to the field of automobile interior noise control technology. It proposes a specific evaluation and optimization method for the ability of a flexible connection rear suspension assembly to absorb and attenuate road excitation. This method can objectively evaluate the road noise performance of the flexible connection rear suspension assembly, identify its main vibration transmission path, and provide guidance for performance optimization.

[0047] Please refer to Figure 1 and Figure 2 , Figure 1 is a flow chart of the first embodiment of the suspension assembly road noise optimization method provided by the present application, Figure 2 It is a schematic diagram of the overall process of the suspension assembly road noise optimization method provided in this application.

[0048] The suspension assembly road noise optimization method of the present application is applied to the suspension assembly road noise optimization device, wherein the suspension assembly road noise optimization device of the present application can be a server, or a terminal device, or a system in which a server and a terminal device cooperate with each other. Accordingly, the various parts of the suspension assembly road noise optimization device, such as various units, sub-units, modules, and sub-modules, can all be set in the server, or all be set in the terminal device, or can be set in the server and the terminal device respectively.

[0049] Furthermore, the above-mentioned server can be hardware or software. When the server is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or it can be implemented as a single server. When the server is software, it can be implemented as multiple software or software modules, such as software or software modules used to provide distributed servers, or it can be implemented as a single software or software module, which is not specifically limited here.

[0050] like Figure 1 As shown, the specific steps are as follows:

[0051] Step S11: Obtain a finite element model of the suspension assembly.

[0052] In the embodiment of the present application, the suspension assembly road noise optimization device establishes a finite element model of a flexible connection rear suspension assembly, wherein the flexible connection rear suspension means that each connection point between the suspension assembly and the vehicle body is connected by an elastic element.

[0053] Among them, suspension is the general term for all force-transmitting connection devices between the vehicle frame (or load-bearing body) and the axle (or wheel).

[0054] Specifically, the suspension assembly finite element model includes components such as the subframe, suspension control arms, drive shaft, wheel hub bearings, rims, tires, shock absorbers, coil springs, powertrain suspension brackets, stabilizer bars, and brake systems.

[0055] Among them, the finite element model is a model established when using the finite element analysis method. It is a combination of units that are connected only at nodes, transmit forces only at nodes, and are constrained only at nodes.

[0056] It should be noted that, in order to simplify the amount of calculation, the powertrain in the embodiment of the present application is replaced by a simplified model.

[0057] Furthermore, the suspension assembly road noise optimization device establishes elastic or rigid connections between the above-mentioned components based on the relative motion relationship, and assigns designed stiffness damping parameters to the elastic connections.

[0058] Step S12: inputting unit displacement excitation into the suspension assembly finite element model to solve the suspension assembly response curve of the suspension assembly finite element model.

[0059] In an embodiment of the present application, the suspension assembly road noise optimization device constrains the boundary conditions of the suspension assembly finite element model, and performs simulation analysis on the suspension assembly finite element model through unit forces of different frequencies and directions.

[0060] Specifically, the suspension assembly road noise optimization device constrains the six degrees of freedom of each connection point between the suspension and the vehicle body and the tire contact point.

[0061] Specifically, the suspension assembly road noise optimization device applies unit displacement excitation in the XYZ directions to the left and right wheels, and arranges and combines them according to the direction and positive and negative excitations, that is, when the left wheel applies +X, +Y, and +Z excitations respectively, the right wheel applies +X, -X, +Y, -Y, +Z, and -Z excitations respectively, for a total of 18 calculation conditions.

[0062] Among them, the XZ excitation is applied to the center of the rim, and the Y excitation is applied to the tire contact point.

[0063] The suspension assembly road noise optimization device of the present application uses the modal superposition method to solve and output the suspension assembly response curve of each connection point between the suspension and the vehicle body and the transfer response curve of each transfer path in the suspension.

[0064] Among them, the modal superposition method is a method used for structural dynamics analysis, which is mainly used to calculate the response of the structure under any time-varying load. This method calculates the response of the structure by multiplying the vibration mode (eigenvalue) obtained by modal analysis by a factor and summing them.

[0065] Please continue to read Figure 3 , Figure 3 yes Figure 1 The specific flow chart of step S12 of the suspension assembly road noise optimization method is shown.

[0066] like Figure 3 As shown, the specific steps are as follows:

[0067] Step S121: obtaining connection point response curves of each connection point between the suspension and the vehicle body of the suspension assembly finite element model.

[0068] Step S122: Calculate the root of the sum of squares of all connection point response curves to obtain the suspension assembly response curve.

[0069] In the embodiment of the present application, the suspension assembly road noise optimization device derives the connection point response curve of each connection point between the suspension and the vehicle body in the suspension assembly finite element model. Then, the suspension assembly road noise optimization device performs RSS (Root Sum of Squares) summation on all connection point response curves to obtain the suspension assembly response curve.

[0070] Finally, the suspension assembly road noise optimization device can also calculate the RMS (Root Mean Square) value of the suspension assembly response curve to obtain the RMS value of the suspension assembly response.

[0071] Step S13: Obtaining the performance risk peak frequency of the suspension assembly response curve.

[0072] In the embodiment of the present application, the suspension assembly road noise optimization device can evaluate whether there is a performance risk in the peak of the road noise related frequency range curve according to the suspension assembly response curve. Specifically, the suspension assembly road noise optimization device can determine the input frequency of the unit displacement excitation according to the X-axis information of the suspension assembly response curve, and determine the road noise amplitude of the suspension assembly according to the Y-axis information of the suspension assembly response curve. Therefore, the suspension assembly road noise optimization device can determine the input frequency range where the road noise amplitude exceeds the road noise threshold as the performance risk peak frequency by setting a road noise threshold.

[0073] Step S14: Analyze the contribution of the suspension assembly based on the performance risk peak frequency to obtain the modal contribution of each mode of the suspension assembly.

[0074] Step S15: Optimizing the suspension assembly modes whose modal contributions satisfy the optimization conditions.

[0075] In the embodiment of the present application, the suspension assembly road noise optimization device performs modal contribution analysis on the suspension assembly based on the suspension assembly response curve and the peak frequency with performance risk. The modal order with a larger contribution is optimized. The suspension modal optimization can be carried out from the following directions:

[0076] 1. Optimize the bending and torsion modes of the subframe.

[0077] 2. Optimize rim mode and lateral stiffness.

[0078] 3. Optimize the elastic body modes of suspension control arms, shock absorbers, steering knuckles and other components.

[0079] 4. Optimize the stiffness of the subframe mounting bushing.

[0080] 5. Optimize the stiffness of powertrain suspension bushings.

[0081] 6. Optimize suspension hard point arrangement, etc.

[0082] Furthermore, the suspension assembly road noise optimization device can also compare the root mean square values ​​of different suspension assembly responses, and can evaluate the road noise performance level range of the analyzed suspension. Specifically, the suspension assembly road noise optimization device can evaluate whether it is necessary to optimize the performance of the current suspension assembly based on the comparison of the root mean square values ​​of the suspension assembly responses of different suspensions and past models.

[0083] In the present application, the suspension assembly road noise optimization device obtains the suspension assembly finite element model; inputs unit displacement excitation to the suspension assembly finite element model, solves the suspension assembly response curve of the suspension assembly finite element model; obtains the performance risk peak frequency of the suspension assembly response curve; performs contribution analysis on the suspension assembly based on the performance risk peak frequency, obtains the modal contribution of each mode of the suspension assembly; optimizes the suspension assembly mode whose modal contribution meets the optimization conditions. Through the above suspension assembly road noise optimization method, the road noise performance of the suspension assembly after the flexible connection is objectively evaluated, its main vibration transmission path is identified, and guidance is provided for performance optimization, the main performance influencing factors are quickly determined, and clear optimization direction guidance is provided.

[0084] Please combine Figure 2 Continue reading Figure 4 , Figure 4 It is a flow chart of the second embodiment of the suspension assembly road noise optimization method provided in the present application.

[0085] like Figure 4 As shown, the specific steps are as follows:

[0086] Step S21: solving the transfer response curve of each transfer path of the suspension assembly finite element model.

[0087] In an embodiment of the present application, the suspension assembly road noise optimization device derives the transfer response curve of each transfer path in the suspension, and calculates the RMS value of the response curve of each transfer path respectively to obtain the root mean square value of each transfer path.

[0088] Step S22: Based on the transfer response curve of each transfer path and the suspension assembly response curve, the transfer path contribution of each transfer path is obtained.

[0089] In the embodiment of the present application, the suspension assembly road noise optimization device calculates the ratio of the root mean square value of each transfer path to the root mean square value of the suspension assembly response, that is, a simple TPA (Transfer Path Analysis) analysis, which can determine the contribution of each transfer path.

[0090] Step S23: Optimizing the transfer paths whose transfer path contributions satisfy the optimization conditions.

[0091] In the embodiment of the present application, based on the contribution of each transfer path, the elastic body mode of the component, the stiffness of the component and the suspension hard point layout are optimized for the transfer path with a larger contribution.

[0092] Specifically, the modal optimization of the elastic body of the component can identify weak locations through modal vibration shape and strain energy analysis and strengthen them. The optimization of the suspension hard point layout recommends setting the target weight, target modal frequency and size range for topological calculation to obtain the optimal result. Among them, the stiffness of the component can be analyzed and calculated through sensitivity analysis and sensitivity optimization to obtain the optimal result.

[0093] Please combine Figure 2 Continue reading Figure 5 , Figure 5 It is a flow chart of the third embodiment of the suspension assembly road noise optimization method provided in the present application.

[0094] like Figure 5 As shown, the specific steps are as follows:

[0095] Step S31: Based on the transfer response curves of each transfer path, an active side response curve and a passive side response curve of a target component in the suspension assembly are obtained.

[0096] In an embodiment of the present application, the suspension assembly road noise optimization device obtains the active side response curve and the passive side response curve of the target component in the suspension assembly based on the transfer response curve of each transfer path.

[0097] Taking the bushing as the target component to be analyzed as an example, the suspension assembly road noise optimization device can derive the active side response curve and the passive side response curve of the bushing.

[0098] Step S32: Calculate the attenuation rate of the target component to vibration based on the active side response curve and the passive side response curve.

[0099] In an embodiment of the present application, the suspension assembly road noise optimization device calculates the RMS value of the active side response curve and the RMS value of the passive side response curve respectively, and obtains the attenuation rate of each bushing to vibration by calculating the ratio of the RMS value of the active side response curve to the RMS value of the passive side response curve.

[0100] Step S33: Optimize the stiffness of the target component according to the attenuation rate.

[0101] In the embodiment of the present application, the suspension assembly road noise optimization device can evaluate whether the vibration isolation performance of each bushing of the suspension meets the requirements based on the attenuation rate of vibration of each bushing of the suspension, and optimize the bushing stiffness accordingly.

[0102] The suspension assembly road noise optimization method of the present application can objectively evaluate the road noise performance of the flexible-connected rear suspension, facilitating horizontal comparison between different suspensions.

[0103] The suspension assembly road noise optimization method of the present application simplifies the suspension-side work in the vehicle road noise performance development process, and avoids the impact of frequent changes in the vehicle body structure during the development process on the suspension road noise performance evaluation.

[0104] The suspension assembly road noise optimization method of the present application can quickly determine the main performance influencing factors and provide clear optimization direction guidance.

[0105] Those skilled in the art will appreciate that, in the above method of specific implementation, the order in which the steps are written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of the steps should be determined by their functions and possible internal logic.

[0106] In order to realize the above suspension assembly road noise optimization method, the present application also proposes a suspension assembly road noise optimization device, please refer to Figure 6 , Figure 6 It is a structural schematic diagram of an embodiment of a suspension assembly road noise optimization device provided in the present application.

[0107] The suspension assembly road noise optimization device 400 of this embodiment includes a processor 41 , a memory 42 , an input / output device 43 , and a bus 44 .

[0108] The processor 41 , the memory 42 , and the input / output device 43 are respectively connected to the bus 44 . The memory 42 stores program data. The processor 41 is used to execute the program data to implement the suspension assembly road noise optimization method described in the above embodiment.

[0109] In the embodiment of the present application, the processor 41 may also be referred to as a CPU (Central Processing Unit). The processor 41 may be an integrated circuit chip having the ability to process signals. The processor 41 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, or discrete hardware components. A general-purpose processor may be a microprocessor or the processor 41 may also be any conventional processor, etc.

[0110] This application also provides a computer storage medium, please continue to refer to Figure 7 , Figure 7 It is a structural diagram of an embodiment of a computer storage medium provided in the present application. The computer storage medium 600 stores a computer program 61. When the computer program 61 is executed by a processor, it is used to implement the suspension assembly road noise optimization method of the above embodiment.

[0111] When the embodiments of the present application are implemented in the form of software functional units and sold or used as independent products, they 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 several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0112] 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 suspension assembly road noise optimization method, characterized in that: The suspension assembly road noise optimization method comprises: Obtain the finite element model of the suspension assembly; Inputting a unit displacement excitation into the suspension assembly finite element model to solve a suspension assembly response curve of the suspension assembly finite element model; Obtaining a performance risk peak frequency of a suspension assembly response curve; Performing contribution analysis on the suspension assembly based on the performance risk peak frequency to obtain modal contribution of each mode of the suspension assembly; The suspension assembly modes whose modal contributions meet the optimization conditions are optimized.

2. The suspension assembly road noise optimization method according to claim 1, characterized in that: Before inputting unit displacement excitation into the suspension assembly finite element model, the suspension assembly road noise optimization method further includes: The six degrees of freedom of each connection point between the suspension and the vehicle body, and / or the tire contact point in the finite element model of the suspension assembly are input.

3. The suspension assembly road noise optimization method according to claim 1, characterized in that: The inputting unit displacement excitation into the suspension assembly finite element model comprises: Unit displacement excitations in different directions are applied to the wheels of the suspension assembly finite element model.

4. The suspension assembly road noise optimization method according to claim 3, characterized in that: The directions of the unit displacement excitation include an X direction, a Y direction, and a Z direction; The step of applying unit displacement excitations in different directions to the wheels of the suspension assembly finite element model comprises: Applying a unit displacement excitation in the X direction and / or a unit displacement excitation in the Z direction to the center of the wheel rim of the suspension assembly finite element model; A unit displacement excitation in the Y direction is applied to the tire contact point of the suspension assembly finite element model.

5. The suspension assembly road noise optimization method according to claim 1, characterized in that: The step of solving the suspension assembly response curve of the suspension assembly finite element model comprises: Obtaining connection point response curves of each connection point between the suspension and the vehicle body of the suspension assembly finite element model; Take the root of the sum of squares of all the connection point response curves to obtain the suspension assembly response curve.

6. The suspension assembly road noise optimization method according to claim 1, characterized in that: After inputting the unit displacement excitation into the suspension assembly finite element model, the suspension assembly road noise optimization method further includes: Solving the transfer response curve of each transfer path of the suspension assembly finite element model; Based on the transfer response curve of each transfer path and the suspension assembly response curve, obtaining a transfer path contribution of each transfer path; The transfer paths whose contribution amounts satisfy the optimization conditions are optimized.

7. The suspension assembly road noise optimization method according to claim 6, characterized in that: The step of optimizing the transfer paths whose transfer path contributions satisfy the optimization conditions includes: For the transfer paths whose transfer path contributions satisfy the optimization conditions, component elastic body modal optimization, component stiffness optimization, and / or suspension hard point arrangement optimization are performed.

8. The suspension assembly road noise optimization method according to claim 6, characterized in that: After solving the transfer response curves of each transfer path of the suspension assembly finite element model, the suspension assembly road noise optimization method further includes: Based on the transfer response curves of each transfer path, an active side response curve and a passive side response curve of a target component in the suspension assembly are obtained; Calculating the attenuation rate of the target component to vibration based on the active side response curve and the passive side response curve; The stiffness of the target component is optimized according to the attenuation rate.

9. A suspension assembly road noise optimization device, characterized in that: The suspension assembly road noise optimization device includes a memory and a processor coupled to the memory; Wherein, the memory is used to store program data, and the processor is used to execute the program data to implement the suspension assembly road noise optimization method as described in any one of claims 1 to 8.

10. A computer storage medium, characterized in that: The computer storage medium is used to store program data, and when the program data is executed by a computer, it is used to implement the suspension assembly road noise optimization method as described in any one of claims 1 to 8.

Images