Skylight parameter design method, system and equipment for reducing noise and medium

Abstract

The invention provides a skylight parameter design method, system and device for reducing noise and a medium. The method comprises the steps that a whole vehicle fusion simulation model is built; constructing a skylight design sample to reconstruct a skylight finite element model in the model, and performing noise evaluation parameter simulation calculation under vehicle acceleration noise and vehicle road noise on a target vehicle fusion simulation model obtained through reconstruction to obtain a target vehicle acceleration noise curve and a target vehicle road noise curve; determining a first noise evaluation parameter value at a first preset noise frequency in the target vehicle acceleration noise curve and a second noise evaluation parameter value at a second preset noise frequency in the target vehicle road noise curve; and according to all the skylight design samples and the corresponding first noise evaluation parameter values and the corresponding second noise evaluation parameter values, constructing a first agent model and a second agent model to optimize and solve the skylight design parameters, and obtaining a target design result. The method aims to carry out multi-objective optimization design on skylight design parameters.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle manufacturing, in particular to a sunroof parameter design method and system for reducing noise, equipment and medium. BACKGROUND

[0002] With the continuous improvement of people's living standards, the comfort of the automobile gradually becomes the performance index that consumers pay special attention to, and the size of the automobile noise is an important factor for measuring the comfort of the automobile. As a common configuration of the current automobile, the sunroof is a large-area structural part, and the main mode under the constraint boundary of the whole vehicle is in the interval of 20-50Hz, which is easy to cause the in-vehicle structure noise and is the main research object of the automobile noise control.

[0003] In the past development of the whole vehicle NVH performance, engineers often optimize the scheme of a certain structure or region of the sunroof based on experience to solve the in-vehicle structure noise problem of a single scene, but this way cannot meet the current lean design requirements. SUMMARY

[0004] Therefore, the present application provides a sunroof parameter design method and system for reducing noise, equipment and medium. It aims to solve or partially solve the problems in the background art.

[0005] The first aspect of the present application provides a sunroof parameter design method for reducing noise, which comprises:

[0006] Building a whole vehicle fusion simulation model, the whole vehicle fusion simulation model is composed of a finite element model of a first subsystem and a super-element model of a second subsystem constituting the whole vehicle, the first subsystem includes tires, a power assembly and a sunroof;

[0007] According to the sunroof design parameter set, a predetermined number of sunroof design samples are constructed;

[0008] Each sunroof design sample is used to respectively reconstruct the sunroof finite element model in the whole vehicle fusion simulation model, and the target whole vehicle fusion simulation model corresponding to each sunroof design sample is obtained;

[0009] The target whole vehicle fusion simulation model is simulated and calculated for the noise evaluation parameters under the whole vehicle acceleration noise, and the noise evaluation parameters under the whole vehicle road noise are simulated and calculated, and the target whole vehicle acceleration noise curve and the target whole vehicle road noise curve corresponding to each are obtained;

[0010] determine a first noise evaluation parameter value at a first preset noise frequency in a target vehicle acceleration noise curve, and determine a second noise evaluation parameter value at a second preset noise frequency in a target vehicle road noise curve, the first preset noise frequency being a noise frequency for evaluating the NVH performance of the sunroof structure under the vehicle acceleration noise, and the second preset noise frequency being a noise frequency for evaluating the NVH performance of the sunroof structure under the vehicle road noise;

[0011] build a first proxy model according to all the sunroof design samples and the corresponding first noise evaluation parameter values, and build a second proxy model according to all the sunroof design samples and the corresponding second noise evaluation parameter values, the first proxy model being a model for analyzing the relationship between the sunroof design parameters and the vehicle acceleration noise, and the second proxy model being a model for analyzing the relationship between the sunroof design parameters and the vehicle road noise;

[0012] obtain a target design result that meets the optimization target by optimizing and solving the sunroof design parameters of the vehicle through the first proxy model and the second proxy model.

[0013] The second aspect of the application provides a sunroof parameter design system for reducing noise, and the system comprises:

[0014] a simulation model building module, configured to build a vehicle fusion simulation model, the vehicle fusion simulation model being composed of a finite element model of a first subsystem and a super-element model of a second subsystem of a vehicle, the first subsystem including tires, a power assembly, and a sunroof;

[0015] a sample building module, configured to build a preset number of sunroof design samples according to a set of sunroof design parameters;

[0016] a simulation model rebuilding module, configured to rebuild the sunroof finite element model in the vehicle fusion simulation model through each sunroof design sample, respectively, to obtain a target vehicle fusion simulation model corresponding to each sunroof design sample;

[0017] a simulation calculation module, configured to perform noise evaluation parameter simulation calculation under vehicle acceleration noise on the target vehicle fusion simulation model, and perform noise evaluation parameter simulation calculation under vehicle road noise, to obtain a target vehicle acceleration noise curve and a target vehicle road noise curve, respectively;

[0018] a parameter value determining module, configured to determine a first noise evaluation parameter value at a first preset noise frequency in a target vehicle acceleration noise curve, and determine a second noise evaluation parameter value at a second preset noise frequency in a target vehicle road noise curve, the first preset noise frequency being a noise frequency for evaluating the NVH performance of the sunroof structure under the vehicle acceleration noise, and the second preset noise frequency being a noise frequency for evaluating the NVH performance of the sunroof structure under the vehicle road noise;

[0019] The agent model construction module is configured to construct a first agent model according to all the sunroof design samples and corresponding first noise evaluation parameter values, and construct a second agent model according to all the sunroof design samples and corresponding second noise evaluation parameter values, the first agent model being a model for analyzing the relationship between the sunroof design parameters and the acceleration noise of the whole vehicle, and the second agent model being a model for analyzing the relationship between the sunroof design parameters and the road noise of the whole vehicle.

[0020] The optimization solving module is configured to perform optimization solving on the sunroof design parameters of the whole vehicle through the first agent model and the second agent model, and obtain a target design result meeting an optimization target.

[0021] The third aspect of the present application provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and running on the processor, and the computer program, when executed by the processor, implements the steps of the sunroof parameter design method for reducing noise according to the first aspect of the present application.

[0022] The fourth aspect of the present application provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the steps of the sunroof parameter design method for reducing noise according to the first aspect of the present application.

[0023] The sunroof parameter design method for reducing noise provided by the present application has the following advantages:

[0024] The application provides a sunroof parameter design method for reducing noise. The application finds that the automobile structure noise generated by the sunroof system is mainly caused by the resonance of the engine excitation and the road excitation after being transmitted through the vehicle body and the sunroof system mode, causing the sunroof vibration and squeezing the sound cavity. Based on this, the application considers two excitations when simulating and analyzing the automobile noise generated by the sunroof system, which are the acceleration excitation under the acceleration scene of the whole vehicle and the road excitation. Further, in order to improve the simulation calculation efficiency of the subsequent whole vehicle fusion simulation model, based on the above two excitations, when building the whole vehicle fusion simulation model, the first subsystem in the whole vehicle structure is built by a finite element model, and the second subsystem in the whole vehicle structure except the first subsystem is built by a super element model, wherein the first subsystem includes tires, a power assembly and a sunroof. Through this building method, the corresponding finite element model of the tires and the power assembly related to the above two excitation loads is built, and the other subsystems (i.e. the second subsystem) unrelated to the excitation load are only repeated calculation items in the parameter design process, which are simplified as super element models to improve the calculation efficiency. Specifically, the finite element models of each first subsystem in the whole vehicle structure are built, and the super element models of each second subsystem in the whole vehicle structure are built, and all the built finite element models and all the built super element models are assembled to obtain the whole vehicle fusion simulation model.

[0025] According to the sunroof design parameter set, a preset number of sunroof design samples are constructed; each sunroof design sample is used to respectively rebuild the sunroof finite element model in the whole vehicle fusion simulation model to obtain a target whole vehicle fusion simulation model corresponding to each sunroof design sample; the target whole vehicle fusion simulation model is simulated and calculated to obtain a noise evaluation parameter under the whole vehicle acceleration noise, and a noise evaluation parameter under the whole vehicle road noise, to obtain a target whole vehicle acceleration noise curve and a target whole vehicle road noise curve corresponding to each sunroof design sample; a first noise evaluation parameter value at a first preset noise frequency in the target whole vehicle acceleration noise curve is determined, and a second noise evaluation parameter value at a second preset noise frequency in the target whole vehicle road noise curve is determined, the first preset noise frequency is a noise frequency for evaluating the NVH performance of the sunroof structure under the whole vehicle acceleration noise, and the second preset noise frequency is a noise frequency for evaluating the NVH performance of the sunroof structure under the whole vehicle road noise; a first proxy model is constructed according to all the sunroof design samples and the corresponding first noise evaluation parameter values, and a second proxy model is constructed according to all the sunroof design samples and the corresponding second noise evaluation parameter values, the first proxy model analyzes the relationship between the sunroof design parameters and the whole vehicle acceleration noise, and the second proxy model analyzes the relationship between the sunroof design parameters and the whole vehicle road noise; the sunroof design parameters of the whole vehicle are optimized and solved through the first proxy model and the second proxy model to obtain a target design result meeting the optimization target.

[0026] Thus, the sunroof parameter design method for reducing noise provided by the application realizes parameter optimization design of the sunroof structure characteristics by using simulation analysis means to improve the in-vehicle noise. The method, on the one hand, solves the contradictory problem that the acceleration noise of the whole vehicle and the road noise of the whole vehicle have different requirements for the sunroof structure, and can design a scheme that meets the noise performance of the two at one time, thereby shortening the development cycle; on the other hand, the method realizes optimization of the performance, a large number of parameterized designs are performed through the proxy model, and the sunroof structure with the most performance advantages can be perfectly designed, thereby saving the research and development cost. Meanwhile, when a plurality of design results meeting the performance target are determined based on the set performance target, the cost-optimal design result can be determined from the plurality of design results through cost statistics, so that the performance and cost are balanced, and the sunroof structure with the most cost advantages and meeting the performance requirements is obtained. BRIEF DESCRIPTION OF DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the description of the embodiments of the application. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0028] Figure 1 A flowchart of a sunroof parameter design method for reducing noise according to an embodiment of the application is shown.

[0029] Figure 2 A composition schematic diagram of a whole vehicle fusion simulation model in a sunroof parameter design method for reducing noise according to an embodiment of the application is shown.

[0030] Figure 3 Another flowchart of a sunroof parameter design method for reducing noise according to an embodiment of the application is shown.

[0031] Figure 4 A schematic diagram of a sunroof parameter design system for reducing noise according to an embodiment of the application is shown. DETAILED DESCRIPTION

[0032] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only some embodiments of the application, not all embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the application.

[0033] REFERENCE Figure 1 , Figure 1A flow chart of a sunroof parameter design method for reducing noise is shown as an embodiment of the present application. As shown in Figure 1 The method comprises:

[0034] Step S1: build a whole vehicle fusion simulation model, the whole vehicle fusion simulation model is composed of a finite element model of a first subsystem constituting the whole vehicle and a super element model of a second subsystem, the first subsystem includes tires, a power assembly and a sunroof.

[0035] In the embodiment, the present application finds that the automobile structure noise generated by the sunroof system is mainly caused by the resonance of the engine excitation and the road excitation after being transmitted through the vehicle body and the sunroof system mode, causing the sunroof vibration and squeezing the sound cavity. Based on this, the present application considers two excitations when simulating and analyzing the automobile noise generated by the sunroof system, which are the whole vehicle acceleration excitation and the road excitation. Further, in order to improve the simulation calculation efficiency of the subsequent whole vehicle fusion simulation model, based on the above two excitations, when building the whole vehicle fusion simulation model, the present application divides each subsystem constituting the whole vehicle into two parts, the first part is the first subsystem composed of the finite element model, and the second part is the second subsystem composed of the super element model. The first subsystem includes the tires, the power assembly and the sunroof constituting the whole vehicle, because the tires need to be used to load the road excitation, the power assembly needs to be used to load the acceleration excitation, and the sunroof needs to be used for parameterized design, therefore, for the three, the present application creates a more detailed finite element model for simulation analysis. The second subsystem includes other subsystems constituting the whole vehicle except the first subsystem, such as the chassis subsystem, the vehicle body subsystem, etc.

[0036] Specifically, for each first subsystem constituting the whole vehicle, build a corresponding finite element model. For each second subsystem constituting the whole vehicle, build a corresponding super element model. Assemble all the built finite element models and super element models to obtain the whole vehicle fusion simulation model. In this way, the construction of the whole vehicle model can reduce the structural complexity of the whole vehicle fusion simulation model as much as possible, thereby improving the simulation calculation efficiency and reducing the simulation calculation time.

[0037] Step S2: according to the sunroof design parameter set, construct a preset number of sunroof design samples.

[0038] In the present embodiment, the present application will create a sunroof design parameter set in advance. The sunroof design parameter set is used to construct a sunroof design sample, that is, to construct a sunroof design scheme. Since the structure of the sunroof can be roughly divided into a sunroof glass assembly, which is composed of sliding glass, fixed glass and glass supports; a sunroof assembly structure frame, which is composed of a guide rail assembly, a mechanical group assembly, a front frame assembly, a rear frame assembly, a sunroof deflector plate, a sunroof sunshade curtain; other structures, which are composed of a sunshade curtain motor, a sunroof motor, a sealing strip, a wire harness, a flexible shaft, etc. Among them, the glass support, the guide rail assembly, the mechanical group assembly, the front frame assembly and the rear frame assembly have the most obvious influence on the sunroof mode, and then affect the interior structure noise. Therefore, the thickness and material parameters of the five parts, a total of 21 parameters, are determined as the sunroof design parameters in the sunroof design parameter set. The 21 parameters include: the thickness of the front support, side support and rear support of the sunroof sliding glass, the thickness of the front support, side support and rear support of the sunroof fixed glass, the thickness of the sliding glass, the thickness of the fixed glass, the thickness of the guide rail, the thickness of the first and second partitions of the guide rail, the thickness of the sunroof mounting surface, the thickness of the front frame, the thickness of the rear frame, the thickness of the fixed group and the sliding group of the mechanical group, the material parameters of the front frame, the material parameters of the rear frame, the material parameters of the fixed group of the mechanical group, the material parameters of the fixed group of the mechanical group, and the material parameters of the glass assembly injection molding. Among them, the material parameters at least include the elastic modulus and the density. It should be understood that according to the change of the actual design scene, the sunroof design parameter set can also be a set including at least one of the 21 parameters; according to the change of the actual design scene, the sunroof design parameter set can include at least one of the 21 parameters, and / or include other sunroof design parameters.

[0039] In this embodiment, based on the created sunroof design parameter set, when creating a sunroof design sample, each sunroof design parameter in the sunroof design parameter set is valued within the respective corresponding preset value range, and after obtaining the value of each sunroof design parameter in the sunroof design parameter set, a corresponding sunroof design sample is obtained. For example, the sunroof design parameter set includes sunroof design parameters A, B, and C. For sunroof design parameter A, a1 is taken within the corresponding preset value range; for sunroof design parameter B, b1 is taken within the corresponding preset value range; and for sunroof design parameter C, c1 is taken within the corresponding preset value range. At this time, the value a1 of sunroof design parameter A, the value b1 of sunroof design parameter B, and the value c1 of sunroof design parameter C together constitute a sunroof design sample, that is, a sunroof design scheme. Through the same implementation, a preset number of sunroof design samples are constructed, and the preset number can be set according to the actual design scene, which is not specifically limited here, such as 100, 50, etc. There are no two sunroof design schemes that are exactly the same in the preset number of sunroof design samples. For example, after sunroof design parameter A takes the value a1, sunroof design parameter B takes the value b1, and sunroof design parameter C takes the value c1 to form a sunroof design sample, the remaining sunroof design samples constructed will not have another sunroof design sample in which sunroof design parameter A takes the value a1, sunroof design parameter B takes the value b1, and sunroof design parameter C takes the value c1. Wherein, the respective corresponding preset value range of each sunroof design parameter can be set according to engineering development experience.

[0040] Step S3: reconstruct the sunroof finite element model in the whole vehicle fusion simulation model through each sunroof design sample respectively, and obtain the respective corresponding target whole vehicle fusion simulation model of each sunroof design sample.

[0041] In the embodiment, after a preset number of sunroof design samples are obtained by step S2, one sunroof design sample will construct a target whole vehicle fusion simulation model corresponding to itself. The implementation of each sunroof design sample constructing a target whole vehicle fusion simulation model corresponding to itself is the same, which is described by taking one sunroof design sample as an example: based on the values of various sunroof design parameters in the sunroof design sample, the sunroof finite element model in the whole vehicle fusion simulation model constructed by step S1 is reconstructed to obtain a target whole vehicle fusion simulation model corresponding to the sunroof design sample. Among them, the specific reconstruction method is: modifying the various sunroof design parameters of the sunroof finite element model in the constructed whole vehicle fusion simulation model to the values of the various sunroof design parameters recorded in the sunroof design sample, so as to obtain a target whole vehicle fusion simulation model corresponding to the sunroof design sample. For example, the sunroof design parameter A in the sunroof design sample takes a1, the sunroof design parameter B takes b1, and the sunroof design parameter C takes c1, so the sunroof design parameter A of the sunroof finite element model in the constructed whole vehicle fusion simulation model is modified to a1, and the sunroof design parameter B is modified to b1, and the sunroof design parameter C is modified to c1, so as to obtain a target whole vehicle fusion simulation model corresponding to the sunroof design sample. Through the same implementation, each sunroof design sample will construct a target whole vehicle fusion simulation model corresponding to itself.

[0042] Step S4: performing noise evaluation parameter simulation calculation on the target whole vehicle fusion simulation model under whole vehicle acceleration noise, and performing noise evaluation parameter simulation calculation under whole vehicle road noise to obtain a corresponding target whole vehicle acceleration noise curve and a target whole vehicle road noise curve.

[0043] In the embodiment, corresponding noise evaluation parameter simulation calculation is performed on each target whole vehicle fusion simulation model obtained. Since the implementation of noise evaluation parameter simulation calculation of each target whole vehicle fusion simulation model is the same, which is described by taking one target whole vehicle fusion simulation model as an example:

[0044] Firstly, the noise evaluation parameter is set, and the noise evaluation parameter is preferably set as sound pressure in the application. It should be understood that the noise evaluation parameter can also be other parameters, which are not limited here. At the same time, the noise output response point of the simulation calculation is set in advance, that is, the position where the sound pressure is monitored. The application preferably sets the noise output response point at the right ear of the driver. It should be understood that the setting position of the noise output response point is only a preferred setting position, which can also be set at other positions, which are not limited here. In addition, the noise frequency range that needs to be concerned and calculated in the simulation calculation is set in advance. Since the noise generated by the sunroof structure is low-frequency noise, the application preferably sets the noise frequency range as 0Hz-100Hz. The noise evaluation parameter simulation calculation under the whole vehicle acceleration noise and the whole vehicle road noise is based on the set noise evaluation parameter, the noise output response point and the pre-set noise frequency range.

[0045] As shown in Figure 2 Before the noise evaluation parameter simulation calculation of the target vehicle fusion simulation model under the whole vehicle acceleration noise is performed, the cylinder pressure excitation corresponding to the engine is first loaded. The application measures the cylinder pressure of the engine to be configured on the vehicle, and then converts the measured engine cylinder pressure into inertia force, inertia torque and gas cylinder pressure torque on the rotating shaft through a theoretical formula. Then, the converted inertia force, inertia torque and gas cylinder pressure torque on the rotating shaft are loaded onto the powertrain finite element model in the target vehicle fusion simulation model by editing and loading cards through the simulation software, so as to realize the loading of the engine cylinder pressure excitation.

[0046] Finally, based on the set noise evaluation parameter, noise output response point and pre-set noise frequency range, and the force and torque loaded onto the powertrain finite element model, the noise evaluation parameter simulation calculation of the target vehicle fusion simulation model under the whole vehicle acceleration noise is performed, and the target whole vehicle acceleration noise curve corresponding to the target vehicle fusion simulation model is obtained. The horizontal axis of the target whole vehicle acceleration noise curve records the noise frequency, and the vertical axis records the noise evaluation parameter value. The noise frequency recorded by the horizontal axis will be within the pre-set noise frequency range.

[0047] As shown in Figure 2 Before the noise evaluation parameter simulation calculation of the target vehicle fusion simulation model under the whole vehicle road noise is performed, the road surface random excitation of the standard test field is first loaded. Based on the road surface unevenness, the application calculates the phase difference of each grounding point by Fourier transform to road surface power spectral density, and then inputs the phase difference to the grounding points of the tire finite element model in the target vehicle fusion simulation model in sequence, so as to realize the loading of the road surface excitation.

[0048] Finally, based on the set noise evaluation parameter, noise output response point, and pre-set noise frequency range, and the road excitation loaded to the tire finite element model, the target vehicle fusion simulation model is simulated under the road noise to obtain the target vehicle road noise curve corresponding to the target vehicle fusion simulation model. The horizontal axis of the target vehicle road noise curve records the noise frequency, and the vertical axis records the value of the noise evaluation parameter. The noise frequency recorded by the horizontal axis will be within the pre-set noise frequency range.

[0049] In the embodiment, each target vehicle fusion simulation model will obtain two curves corresponding to itself through simulation calculation, i.e., the target vehicle acceleration noise curve and the target vehicle road noise curve, through the same implementation.

[0050] Step S5: determining the first noise evaluation parameter value at the first pre-set noise frequency in the target vehicle acceleration noise curve, and determining the second noise evaluation parameter value at the second pre-set noise frequency in the target vehicle road noise curve. The first pre-set noise frequency is the noise frequency for evaluating the NVH performance of the sunroof structure under the vehicle acceleration noise, and the second pre-set noise frequency is the noise frequency for evaluating the NVH performance of the sunroof structure under the vehicle road noise.

[0051] In the embodiment, the first pre-set noise frequency is pre-set in the application, which will be used to evaluate the NVH performance of the sunroof structure under the vehicle acceleration noise. The first noise evaluation parameter value at the first pre-set noise frequency in the target vehicle acceleration noise curve can be used to determine the NVH performance of the sunroof structure under the vehicle acceleration noise. When the noise evaluation parameter is sound pressure, the lower the sound pressure value at the first pre-set noise frequency in the target vehicle acceleration noise curve, the better the NVH performance of the corresponding sunroof structure under the vehicle acceleration noise.

[0052] Meanwhile, the second pre-set noise frequency is pre-set in the application, which will be used to evaluate the NVH performance of the sunroof structure under the vehicle road noise. The second noise evaluation parameter value at the second pre-set noise frequency in the target vehicle road noise curve can be used to determine the NVH performance of the sunroof structure under the vehicle road noise. When the noise evaluation parameter is sound pressure, the lower the sound pressure value at the second pre-set noise frequency in the target vehicle road noise curve, the better the NVH performance of the corresponding sunroof structure under the vehicle road noise.

[0053] In the embodiment, the same first pre-set noise frequency is used to determine the first noise evaluation parameter value in each target vehicle acceleration noise curve. The same second pre-set noise frequency is used to determine the second noise evaluation parameter value in each target vehicle road noise curve.

[0054] For the target vehicle acceleration noise curve, the noise evaluation parameter value at the first preset noise frequency in the target vehicle acceleration noise curve is determined, and the determined noise evaluation parameter value is the first noise evaluation parameter value in the target vehicle acceleration noise curve. Through the same implementation, each target vehicle acceleration noise curve will determine its own first noise evaluation parameter value.

[0055] For the target vehicle road noise curve, the noise evaluation parameter value at the second preset noise frequency in the target vehicle road noise curve is determined, and the determined noise evaluation parameter value is the second noise evaluation parameter value in the target vehicle road noise curve. Through the same implementation, each target vehicle road noise curve will determine its own second noise evaluation parameter value.

[0056] Step S6: According to all sunroof design samples and corresponding first noise evaluation parameter values, a first proxy model is constructed, and according to all sunroof design samples and corresponding second noise evaluation parameter values, a second proxy model is constructed, the first proxy model is a model for analyzing the relationship between sunroof design parameters and vehicle acceleration noise, and the second proxy model is a model for analyzing the relationship between sunroof design parameters and vehicle road noise.

[0057] In this embodiment, through steps S3 to S5, each sunroof design sample will obtain its corresponding first noise evaluation parameter value and its corresponding second noise evaluation parameter value through model reconstruction, simulation calculation and noise evaluation parameter value determination. For example, the sunroof design sample Xi (i takes values 1 to n, n is a preset number) is reconstructed through the model to obtain the corresponding target vehicle fusion simulation model Yi; through simulation calculation on the target vehicle fusion simulation model Yi, the corresponding target vehicle acceleration noise curve Li1 and the corresponding target vehicle road noise curve Li2 are obtained; through noise evaluation parameter value determination on the curve Li1, the corresponding first noise evaluation parameter value Zi1 is obtained, and through noise evaluation parameter value determination on the curve Li2, the corresponding second noise evaluation parameter value Zi2 is obtained; accordingly, each sunroof design sample Xi has a corresponding first noise evaluation parameter value Zi1 and a corresponding second noise evaluation parameter value Zi2.

[0058] In the embodiment, the sunroof design sample and the first noise evaluation parameter value corresponding to the sunroof design sample are determined as a data group. Since the sunroof design samples are of a preset number, there will be a preset number of data groups composed of all the sunroof design samples and the corresponding first noise evaluation parameter values. Based on the preset number of data groups, the corresponding first surrogate model is constructed by using Taylor expansion through the Optimus integrated optimization platform. The first surrogate model will be used to analyze the relationship between the sunroof design parameters and the vehicle acceleration noise. By inputting a single sunroof design sample into the first surrogate model for processing, the first surrogate model will output the first noise evaluation parameter value corresponding to the sunroof design sample. Then, based on the obtained first noise evaluation parameter value, the NVH performance of the sunroof design sample under the vehicle acceleration noise can be determined. The first noise evaluation parameter value output by the first surrogate model is the first noise evaluation parameter value at the first preset noise frequency in the target vehicle acceleration noise curve corresponding to the sunroof design sample.

[0059] In the embodiment, the sunroof design sample and the second noise evaluation parameter value corresponding to the sunroof design sample are determined as a data group. Since the sunroof design samples are of a preset number, there will be a preset number of data groups composed of all the sunroof design samples and the corresponding second noise evaluation parameter values. Based on the preset number of data groups, the corresponding second surrogate model is constructed by using Taylor expansion through the Optimus integrated optimization platform. The second surrogate model will be used to analyze the relationship between the sunroof design parameters and the vehicle road noise. By inputting a single sunroof design sample into the second surrogate model for processing, the second surrogate model will output the second noise evaluation parameter value corresponding to the sunroof design sample. Then, based on the obtained second noise evaluation parameter value, the NVH performance of the sunroof design sample under the vehicle road noise can be determined. The second noise evaluation parameter value output by the second surrogate model is the second noise evaluation parameter value at the second preset noise frequency in the target vehicle road noise curve corresponding to the sunroof design sample.

[0060] Step S7: optimizing and solving the sunroof design parameters of the vehicle through the first surrogate model and the second surrogate model to obtain a target design result that meets the optimization target.

[0061] In the embodiment, the first optimization target value is preset for determining whether the first noise evaluation parameter value output by the first surrogate model meets the first optimization target under the vehicle acceleration noise. The second optimization target value is preset for determining whether the second noise evaluation parameter value output by the second surrogate model meets the second optimization target under the vehicle road noise. After the first surrogate model and the second surrogate model are constructed through step S6, a large number of sunroof design samples are constructed. Each sunroof design sample of the large number of sunroof design samples is respectively brought into the surrogate model for processing, and the processing mode is the same. Taking one sunroof design sample as an example, the sunroof design sample is respectively brought into the first surrogate model and the second surrogate model for processing. The first surrogate model outputs the corresponding first noise evaluation parameter value, and the second surrogate model outputs the corresponding second noise evaluation parameter value. Through the same processing mode, each sunroof design sample of the large number of sunroof design samples will obtain two values corresponding to itself, which are the first noise evaluation parameter value and the second noise evaluation parameter value. For the first noise evaluation parameter value and the second noise evaluation parameter value belonging to the same sunroof design sample, when the first noise evaluation parameter value is less than or equal to the first optimization target value, and the second noise evaluation parameter value is less than or equal to the second optimization target value, it is determined that the sunroof design sample corresponding to the target design result meets the optimization target. The target design result is determined as the final sunroof design scheme.

[0062] In the process of optimizing and solving the sunroof design parameters of the vehicle, a large number of sunroof design samples can be set according to the actual scene, which is not limited specifically, such as 1000, 10000, etc.

[0063] The application provides a sunroof parameter design method for reducing noise. The application finds that the automobile structure noise generated by the sunroof system is mainly caused by the resonance of the engine excitation and the road excitation after being transmitted through the vehicle body and the sunroof system mode, causing the sunroof vibration and squeezing the sound cavity. Based on this, the application considers two excitations when simulating and analyzing the automobile noise generated by the sunroof system, which are the acceleration excitation under the acceleration scene of the whole vehicle and the road excitation. Further, in order to improve the simulation calculation efficiency of the subsequent whole vehicle fusion simulation model, based on the above two excitations, when building the whole vehicle fusion simulation model, the first subsystem in the whole vehicle structure is built by a finite element model, and the second subsystem in the whole vehicle structure except the first subsystem is built by a super element model, wherein the first subsystem includes tires, a power assembly and a sunroof. Through this building method, the corresponding finite element model of the tires and the power assembly related to the above two excitation loads is built, and the other subsystems (i.e. the second subsystem) unrelated to the excitation load are only repeated calculation items in the parameter design process, which are simplified as super element models to improve the calculation efficiency. Specifically, the finite element models of each first subsystem in the whole vehicle structure are built, and the super element models of each second subsystem in the whole vehicle structure are built, and all the built finite element models and all the built super element models are assembled to obtain the whole vehicle fusion simulation model.

[0064] According to the sunroof design parameter set, a preset number of sunroof design samples are constructed; each sunroof design sample is used to respectively rebuild the sunroof finite element model in the whole vehicle fusion simulation model to obtain a target whole vehicle fusion simulation model corresponding to each sunroof design sample; the target whole vehicle fusion simulation model is subjected to noise evaluation parameter simulation calculation under whole vehicle acceleration noise and whole vehicle road noise to obtain a target whole vehicle acceleration noise curve and a target whole vehicle road noise curve corresponding to each sunroof design sample; a first noise evaluation parameter value at a first preset noise frequency in the target whole vehicle acceleration noise curve is determined, and a second noise evaluation parameter value at a second preset noise frequency in the target whole vehicle road noise curve is determined, the first preset noise frequency is a noise frequency for evaluating the NVH performance of the sunroof structure under the whole vehicle acceleration noise, and the second preset noise frequency is a noise frequency for evaluating the NVH performance of the sunroof structure under the whole vehicle road noise; a first proxy model is constructed according to all the sunroof design samples and the corresponding first noise evaluation parameter values, and a second proxy model is constructed according to all the sunroof design samples and the corresponding second noise evaluation parameter values, the first proxy model analyzes the relationship between the sunroof design parameters and the whole vehicle acceleration noise, and the second proxy model analyzes the relationship between the sunroof design parameters and the whole vehicle road noise; the sunroof design parameters of the whole vehicle are optimized and solved through the first proxy model and the second proxy model to obtain a target design result meeting the optimization target.

[0065] Thus, the sunroof parameter design method for reducing noise provided by the application realizes parameter optimization design of the sunroof structure characteristics to improve the in-vehicle noise by means of simulation analysis. The method, on the one hand, solves the contradictory problem that the sunroof structure requirements are different for the vehicle acceleration noise and the vehicle road noise, and can design a scheme meeting the noise performance of the two kinds of noise at one time, thereby shortening the development cycle. On the other hand, the performance is optimized, a large number of parameterized designs are performed through the proxy model, and the sunroof structure with the most performance advantage can be perfectly designed, thereby saving the research and development cost. Meanwhile, when a plurality of design results meeting the performance target are determined based on the set performance target, the design result with the optimal cost can be determined from the plurality of design results through cost statistics, so that the performance and the cost are balanced, and the sunroof structure with the most cost advantage and meeting the performance requirement is obtained.

[0066] In combination with the above embodiments, in an implementation mode, the application further provides a sunroof parameter design method for reducing noise. In the sunroof parameter design method for reducing noise, the first preset noise frequency and the second preset noise frequency are determined, including: performing noise evaluation parameter simulation calculation of the vehicle acceleration noise on the vehicle fusion simulation model, and performing noise evaluation parameter simulation calculation of the vehicle road noise to obtain respective vehicle acceleration noise curve and vehicle road noise curve; determining the first preset noise frequency from the vehicle acceleration noise curve according to a first screening rule, and determining the second preset noise frequency from the vehicle road noise curve according to a second screening rule.

[0067] In the embodiment, one optional implementation mode of determining the first preset noise frequency and the second preset noise frequency is: the vehicle fusion simulation model constructed through step S1 is subjected to noise evaluation parameter simulation calculation of the vehicle acceleration noise by adopting the same implementation mode as step S4 to obtain a corresponding vehicle acceleration noise curve, the horizontal axis of the vehicle acceleration noise curve records the noise frequency, the vertical axis records the noise evaluation parameter value, and the noise frequency recorded by the horizontal axis will be within the pre-set noise frequency range. And the vehicle fusion simulation model constructed through step S1 is subjected to noise evaluation parameter simulation calculation of the vehicle road noise by adopting the same implementation mode as step S4 to obtain a corresponding vehicle road noise curve, the horizontal axis of the vehicle road noise curve records the noise frequency, the vertical axis records the noise evaluation parameter value, and the noise frequency recorded by the horizontal axis will be within the pre-set noise frequency range.

[0068] Then, the first preset noise frequency is screened from the obtained vehicle acceleration noise curve based on the pre-set first screening rule, and the second preset noise frequency is screened from the obtained vehicle road noise curve based on the pre-set second screening rule.

[0069] An optional rule of the first screening rule is that a noise frequency corresponding to a maximum noise evaluation parameter value in the vehicle acceleration noise curve is the first preset noise frequency.

[0070] Another optional rule of the first screening rule is that a noise frequency position where a noise evaluation parameter peak value appears in the vehicle acceleration noise curve is determined, and a noise frequency at the position where the noise evaluation parameter peak value appears is determined as a first candidate noise frequency. Then, a sunroof modal participation amount of the noise evaluation parameter peak value at each first candidate noise frequency, that is, an amount contributed by the sunroof in the noise evaluation parameter peak value appearing at each first candidate noise frequency is determined. The sunroof modal participation amount at each first candidate noise frequency obtained is compared with a first threshold value. When the sunroof modal participation amount at the first candidate noise frequency is greater than or equal to the first threshold value, the first candidate noise frequency is determined as the first preset noise frequency. The first threshold value can be set according to an actual parameter design scenario, which is not specifically limited here, such as 50%, 60%, etc.

[0071] An optional rule of the second screening rule is that a noise frequency corresponding to a maximum noise evaluation parameter value in the vehicle road noise curve is the second preset noise frequency.

[0072] Another optional rule of the second screening rule is that a noise frequency position where a noise evaluation parameter peak value appears in the vehicle road noise curve is determined, and a noise frequency at the position where the noise evaluation parameter peak value appears is determined as a second candidate noise frequency. Then, a sunroof modal participation amount of the noise evaluation parameter peak value at each second candidate noise frequency, that is, an amount contributed by the sunroof in the noise evaluation parameter peak value appearing at each second candidate noise frequency is determined. The sunroof modal participation amount at each second candidate noise frequency obtained is compared with a second threshold value. When the sunroof modal participation amount at the second candidate noise frequency is greater than or equal to the second threshold value, the second candidate noise frequency is determined as the second preset noise frequency. The second threshold value can be set according to an actual parameter design scenario, which is not specifically limited here, such as 50%, 60%, etc.

[0073] In combination with the above embodiments, in an implementation, the embodiments of the present application also provide a sunroof parameter design method for reducing noise. In the sunroof parameter design method for reducing noise, according to a first screening rule, a first preset noise frequency is determined from the whole vehicle acceleration noise curve, and according to a second screening rule, a second preset noise frequency is determined from the whole vehicle road noise curve, including: determining a first sunroof modal participation amount at each peak noise frequency in the whole vehicle acceleration noise curve, and determining a second sunroof modal participation amount at each peak noise frequency in the whole vehicle road noise curve, the peak noise frequency being a noise frequency at which a noise evaluation parameter peak value is located in the curve; according to a relationship between all first sunroof modal participation amounts and a first threshold value, a first preset noise frequency is screened from all first candidate noise frequencies of the whole vehicle acceleration noise curve; according to a relationship between all second sunroof modal participation amounts and a second threshold value, a second preset noise frequency is screened from all second candidate noise frequencies of the whole vehicle road noise curve.

[0074] In the present embodiment, after the whole vehicle fusion simulation model constructed through step S1 is subjected to noise evaluation parameter simulation calculation under whole vehicle acceleration noise in the same implementation as step S4 to obtain a corresponding whole vehicle acceleration noise curve, and the whole vehicle fusion simulation model constructed through step S1 is subjected to noise evaluation parameter simulation calculation under whole vehicle road noise in the same implementation as step S4 to obtain a corresponding whole vehicle road noise curve, each noise evaluation parameter peak value is screened from the obtained whole vehicle acceleration noise curve, the noise evaluation parameter peak value screened from the whole vehicle acceleration noise curve being referred to as a first noise evaluation parameter peak value, and then a noise frequency at which each screened first noise evaluation parameter peak value is located is determined as a first candidate noise frequency. Meanwhile, each noise evaluation parameter peak value is screened from the obtained whole vehicle road noise curve, the noise evaluation parameter peak value screened from the whole vehicle road noise curve being referred to as a second noise evaluation parameter peak value, and then a noise frequency at which each screened second noise evaluation parameter peak value is located is determined as a second candidate noise frequency.

[0075] After the corresponding each first candidate noise frequency is obtained from the whole vehicle acceleration noise curve, and the corresponding each second candidate noise frequency is obtained from the whole vehicle road noise curve, a first sunroof modal participation amount at each first candidate noise frequency is determined, and a second sunroof modal participation amount at each second candidate noise frequency is determined. The sunroof modal participation amount at the corresponding noise frequency refers to an amount contributed by the sunroof in the noise evaluation parameter value at the noise frequency.

[0076] Finally, the first window modal participation quantity at each first candidate noise frequency is compared with a first threshold, and the second window modal participation quantity at each second candidate noise frequency is compared with a second threshold. When the first window modal participation quantity corresponding to the first candidate noise frequency is greater than or equal to the first threshold, the first candidate noise frequency is determined as the first preset noise frequency. When the second window modal participation quantity corresponding to the second candidate noise frequency is greater than or equal to the second threshold, the second candidate noise frequency is determined as the second preset noise frequency.

[0077] It should be understood that there can be multiple first preset noise frequencies determined by the embodiment, and there can be multiple second preset noise frequencies determined by the embodiment. Correspondingly, there can be multiple first noise evaluation parameter values determined from the target vehicle acceleration noise curve in step S5, and there can be multiple second noise evaluation parameter values determined from the target vehicle road noise curve.

[0078] Correspondingly, in the case where there are multiple first noise evaluation parameter values determined from the target vehicle acceleration noise curve in step S5, when the first proxy model is constructed in step S6, a data set composed of one sunroof design sample and the first noise evaluation parameter values corresponding to the sunroof design sample includes the sunroof design sample and the multiple first noise evaluation parameter values corresponding to the sunroof design sample. At the same time, the first proxy model constructed in step S7 will output multiple first noise evaluation parameter values corresponding to the input sunroof design sample in the actual optimization solving process. In this case, each first noise evaluation parameter value has its own corresponding first preset noise frequency, and the recording order of all data in each data set is fixed, the purpose is to make the data results output by the first proxy model based on such data set in the actual optimization solving process have a clear order, so that the first preset noise frequency corresponding to each first noise evaluation value can be determined based on the order of each first noise evaluation value in the data results output by the first proxy model. Therefore, when determining whether the design result meets the optimization target at the end, the corresponding optimization target can be set for each first preset noise frequency, and for each first noise evaluation value output, it can be determined whether each first noise evaluation value meets the optimization target corresponding to itself through the optimization target corresponding to the first preset noise frequency at which each first noise evaluation value is located.

[0079] For example, the recording order of the data in a data group composed of a sunroof design sample and the first noise evaluation parameter value corresponding to the sunroof design sample is: the first bit is the sunroof design sample, the second bit is the first noise evaluation value at the first preset noise frequency of 20 Hz, and the third bit is the first noise evaluation value at the first preset noise frequency of 50 Hz. All data groups are recorded in this way, and then the first proxy model is constructed based on all data groups. After the first proxy model is constructed, in actual application, a sunroof design sample is input into the first proxy model, and the first proxy model will output two first noise evaluation values in turn. The first output first noise evaluation value is the noise evaluation value at the first preset noise frequency of 20 Hz, and the second output first noise evaluation value is the noise evaluation value at the first preset noise frequency of 50 Hz. There are pre-set optimization targets d1 corresponding to the first preset noise frequency of 20 Hz and optimization targets d2 corresponding to the first preset noise frequency of 50 Hz. The first noise evaluation value and the corresponding optimization target d1 are judged whether they meet the corresponding optimization target, and the second noise evaluation value and the corresponding optimization target d2 are judged whether they meet the corresponding optimization target, and based on the two judgment results, it is determined whether the sunroof design sample meets the optimization target under the whole vehicle acceleration noise.

[0080] Correspondingly, in the case where there are multiple second noise evaluation parameter values determined from the target whole vehicle road noise curve through step S5, a data group composed of a sunroof design sample and the second noise evaluation parameter value corresponding to the sunroof design sample includes the sunroof design sample and the multiple second noise evaluation parameter values corresponding to the sunroof design sample when the second proxy model is constructed through step S6. At the same time, the second proxy model constructed through step S7 will output corresponding multiple second noise evaluation parameter values for the input sunroof design sample in the actual optimization solving process. In this case, each second noise evaluation parameter value has its own corresponding second preset noise frequency, and the recording order of all data in each data group is fixed. The purpose is to make the data results output by the second proxy model based on such data groups in the actual optimization solving process have a clear order, so that the second preset noise frequency corresponding to each second noise evaluation value can be determined based on the order of each second noise evaluation value in the data results output by the second proxy model. Therefore, when determining whether the design result meets the optimization target, a corresponding optimization target can be set for each second preset noise frequency, and for each output second noise evaluation value, it can be determined whether each second noise evaluation value meets the optimization target corresponding to itself through the optimization target corresponding to the second preset noise frequency at which the second noise evaluation value is located.

[0081] For example, the recording order of data in a data group composed of a sunroof design sample and the second noise evaluation parameter value corresponding to the sunroof design sample is: the first bit is the sunroof design sample, the second bit is the second noise evaluation value at the second preset noise frequency of 30 Hz, and the third bit is the second noise evaluation value at the second preset noise frequency of 60 Hz. All data groups are recorded in this way, and then the second proxy model is constructed based on all data groups. After the second proxy model is constructed, in actual application, a sunroof design sample is input into the second proxy model, and the second proxy model will output two second noise evaluation values in turn. The first output second noise evaluation value is the noise evaluation value at the second preset noise frequency of 30 Hz, and the second output second noise evaluation value is the noise evaluation value at the second preset noise frequency of 60 Hz. The optimization target e1 corresponding to the second preset noise frequency of 30 Hz and the optimization target e2 corresponding to the second preset noise frequency of 60 Hz are set in advance. The first second noise evaluation value and the corresponding optimization target e1 are judged whether they meet the corresponding optimization target, and the second second noise evaluation value and the corresponding optimization target e2 are judged whether they meet the corresponding optimization target. Based on the two judgment results, it is determined whether the sunroof design sample meets the optimization target under the road noise of the whole vehicle.

[0082] In combination with the above embodiments, in an implementation, the embodiments of the present application also provide a sunroof parameter design method for reducing noise. In the sunroof parameter design method for reducing noise, the sunroof design parameters of the whole vehicle are optimized and solved by the first proxy model and the second proxy model to obtain a target design result meeting the optimization target, including: inputting the constructed sunroof design sample into the first proxy model and the second proxy model for optimization and solving to obtain the first noise evaluation parameter value output by the first proxy model and the second noise evaluation parameter output by the second proxy model; in the case that the output first noise evaluation parameter value meets the first optimization target and the output second noise evaluation parameter value meets the second optimization target, determining that the constructed sunroof design sample is a to-be-evaluated design result; calculating the cost of each to-be-evaluated design result obtained to determine that the to-be-evaluated design result with the lowest cost is the target design result meeting the optimization target.

[0083] In the embodiment, the constructed single sunroof design sample is respectively input into the constructed first agent model and the constructed second agent model for optimization solution. The first agent model outputs the first noise evaluation parameter value corresponding to the sunroof design sample, and the second agent model outputs the second noise evaluation parameter corresponding to the sunroof design sample. In the case that the output first noise evaluation parameter value meets the first optimization objective, and the output second noise evaluation parameter value meets the second optimization objective, it is determined that the constructed sunroof design sample is the design result to be evaluated. Through the same implementation, a large number of sunroof design samples are optimized and solved, and when all the sunroof design samples that meet the first optimization objective and the second optimization objective are obtained, all the sunroof design samples belong to the design result to be evaluated. Then, the cost of each obtained design result to be evaluated is calculated, and the design result to be evaluated with the lowest cost is determined as the target design result meeting the optimization objective, at this time, the target design result not only meets the NVH performance requirement but also has cost advantage.

[0084] In the case that the output first noise evaluation parameter value has only one, a noise evaluation parameter threshold is set, and in the case that the output first noise evaluation parameter value is less than or equal to the noise evaluation parameter threshold, it is determined that the first optimization objective is met. In the case that the output first noise evaluation parameter value includes multiple, for each first noise evaluation parameter value, a corresponding noise evaluation parameter threshold is set for the first preset noise frequency where the first noise evaluation parameter value is located, and in the case that each output first noise evaluation parameter value is less than or equal to the noise evaluation parameter threshold corresponding to the first preset noise frequency where the first noise evaluation parameter value is located, it is determined that the first optimization objective is met.

[0085] In the case that the output second noise evaluation parameter value has only one, a noise evaluation parameter threshold is set, and in the case that the output second noise evaluation parameter value is less than or equal to the noise evaluation parameter threshold, it is determined that the second optimization objective is met. In the case that the output second noise evaluation parameter value includes multiple, for each second noise evaluation parameter value, a corresponding noise evaluation parameter threshold is set for the second preset noise frequency where the second noise evaluation parameter value is located, and in the case that each output second noise evaluation parameter value is less than or equal to the noise evaluation parameter threshold corresponding to the second preset noise frequency where the second noise evaluation parameter value is located, it is determined that the first optimization objective is met.

[0086] In combination with the above embodiments, in an implementation, the embodiments of the present application further provide a sunroof parameter design method for reducing noise. In the sunroof parameter design method for reducing noise, before the first proxy model and the second proxy model are used to optimize and solve the sunroof design parameters of the whole vehicle to obtain a target design result meeting the optimization target, the method further comprises: performing correlation analysis on all the sunroof design parameters in the sunroof design parameter set according to all the obtained target whole vehicle acceleration noise curves and all the obtained target whole vehicle road noise curves, to obtain a correlation result recording the correlation size of the influence of each sunroof design parameter on noise; and screening target sunroof design parameters from all the sunroof design parameters according to the correlation result; and the first proxy model and the second proxy model are used to optimize and solve the target sunroof design parameters of the whole vehicle to obtain the target design result meeting the optimization target.

[0087] In the present embodiment, in order to improve the optimization and solving efficiency, the sunroof design samples used when the proxy model is constructed include the values of each sunroof design parameter in the sunroof design parameter set. However, in the actual optimization and solving process, when a large number of sunroof design samples are constructed for optimization and solving, only the sunroof design parameters with a correlation size of the influence on noise reaching a certain degree are included in the constructed sunroof design samples.

[0088] Specifically, after a preset number of target whole vehicle acceleration noise curves and a preset number of target whole vehicle road noise curves are obtained based on a preset number of sunroof design samples, correlation analysis is performed on all the sunroof design parameters in the sunroof design parameter set based on all the obtained target whole vehicle acceleration noise curves and all the obtained target whole vehicle road noise curves by using an Optimus integrated optimization platform, to obtain a correlation result recording the correlation size of the influence of each sunroof design parameter on the whole vehicle structure noise. According to the obtained correlation result, a certain number of target sunroof design parameters are screened from all the sunroof design parameters in the sunroof design parameter set for subsequent optimization and solving.

[0089] An optional screening implementation is to sort all the sunroof design parameters according to the correlation from large to small, and take a preset number of sunroof design parameters with a high ranking as the target sunroof design parameters. The preset number can be adaptively adjusted according to the total number of the sunroof design parameters in the sunroof design parameter set, such as taking 12 as the preset number when the total number of the sunroof design parameters in the sunroof design parameter set is 20.

[0090] Another optional screening implementation is to determine the sunroof design parameters with a correlation value exceeding a set threshold as the target sunroof design parameters, wherein the set threshold can be set according to the actual optimization solving scenario, which is not specifically limited herein.

[0091] In the present embodiment, after the target sunroof design parameters are screened out, when a large number of sunroof design samples are constructed for optimization solving, only the values of various target sunroof design parameters are included in the constructed sunroof design samples. Then each sunroof design sample in the constructed large number of sunroof design samples is respectively input into the first surrogate model and the second surrogate model for optimization solving to obtain the target design result satisfying the optimization target.

[0092] In combination with the above embodiments, in an implementation, the present embodiment further provides a sunroof parameter design method for reducing noise. In the sunroof parameter design method for reducing noise, before the first surrogate model and the second surrogate model are used to optimize and solve the sunroof design parameters of the whole vehicle to obtain the target design result satisfying the optimization target, the method further includes: respectively verifying the accuracy of each constructed surrogate model; in the case that the accuracy of the surrogate model does not reach the accuracy requirement corresponding to itself, increasing the sample number of the constructed sunroof design samples and reconstructing a new surrogate model corresponding to the surrogate model.

[0093] In the present embodiment, to ensure the accuracy of subsequent optimization solving, the present application will respectively verify the accuracy of the constructed first surrogate model and second surrogate model after the first surrogate model and second surrogate model are constructed.

[0094] An optional accuracy verification method is to respectively input a single sunroof design sample into the first surrogate model and the second surrogate model for optimization solving to obtain the solving result output by the first surrogate model and the solving result output by the second surrogate model. At the same time, a corresponding target whole vehicle fusion simulation model is built based on the sunroof design sample, and then simulation calculation is performed to obtain a corresponding target whole vehicle acceleration noise curve and a target whole vehicle road noise curve. A first noise evaluation parameter value at a first preset noise frequency is determined from the target whole vehicle acceleration noise curve, and a second noise evaluation parameter value at the first preset noise frequency is determined from the target whole vehicle road noise curve. The first noise evaluation parameter value is compared with the solving result output by the first surrogate model, and the accuracy of the first surrogate model is determined based on the comparison result. The smaller the deviation between the first noise evaluation parameter value and the solving result output by the first surrogate model, the higher the accuracy. The second noise evaluation parameter value is compared with the solving result output by the second surrogate model, and the accuracy of the second surrogate model is determined based on the comparison result. The smaller the deviation between the second noise evaluation parameter value and the solving result output by the second surrogate model, the higher the accuracy.

[0095] In the embodiment, the first proxy model is set with a corresponding accuracy requirement (e.g., an accuracy of 90%), and the second proxy model is set with a corresponding accuracy requirement (e.g., an accuracy of 90%). In the case where the accuracy of the first proxy model does not meet the corresponding accuracy requirement thereof, the number of samples of the constructed sunroof design samples is increased, and a new first proxy model is reconstructed until a first proxy model meeting the accuracy requirement is obtained. In the case where the accuracy of the second proxy model does not meet the corresponding accuracy requirement thereof, the number of samples of the constructed sunroof design samples is increased, and a new second proxy model is reconstructed until a second proxy model meeting the accuracy requirement is obtained.

[0096] In combination with the above embodiments, in an implementation, the embodiments of the present application further provide a sunroof parameter design method for reducing noise. In the sunroof parameter design method for reducing noise, the method further includes: constructing a corresponding to-be-verified whole vehicle fusion simulation model according to the target design result; performing noise evaluation parameter simulation calculation on the to-be-verified whole vehicle fusion simulation model under whole vehicle acceleration noise, and performing noise evaluation parameter simulation calculation under whole vehicle road noise to obtain respective corresponding to-be-verified whole vehicle acceleration noise curve and to-be-verified whole vehicle road noise curve; determining a first noise evaluation parameter value at a first preset noise frequency in the to-be-verified whole vehicle acceleration noise curve, and determining a second noise evaluation parameter value at a second preset noise frequency in the to-be-verified whole vehicle road noise curve; when an error between the first noise evaluation parameter value in the to-be-verified whole vehicle acceleration noise curve and a result obtained by optimization solving of the first proxy model is within a first error range, and an error between the second noise evaluation parameter value in the to-be-verified whole vehicle road noise curve and a result obtained by optimization solving of the second proxy model is within a second error range, determining that the target design result passes verification; in the case where the target design result fails to pass verification, increasing the number of samples of the constructed sunroof design samples, and reconstructing the proxy model; and based on the reconstructed proxy model, performing a new round of optimization solving of the sunroof design parameters of the whole vehicle.

[0097] In the embodiment, after the target design result meeting the optimization target is obtained, that is, the sunroof design scheme meeting the optimization target is obtained. At this time, in order to guarantee the NVH performance accuracy of the target design result, the present application further verifies the target design result.

[0098] Specifically: according to the obtained target design result meeting the optimization target, a to-be-verified whole vehicle fusion simulation model corresponding to the target design result is constructed, and the construction process is to reconstruct the sunroof finite element model in the initial whole vehicle fusion simulation model built in step S1 through the target design result, to obtain the to-be-verified whole vehicle fusion simulation model corresponding to the target design result. Then, the to-be-verified whole vehicle fusion simulation model is subjected to noise evaluation parameter simulation calculation under whole vehicle acceleration noise, and noise evaluation parameter simulation calculation under whole vehicle road noise is performed, to obtain respective to-be-verified whole vehicle acceleration noise curve and to-be-verified whole vehicle road noise curve, wherein the noise evaluation parameter simulation calculation under whole vehicle acceleration noise and the noise evaluation parameter simulation calculation under whole vehicle road noise are the same as those in step S4, and will not be described herein again. Based on the obtained to-be-verified whole vehicle acceleration noise curve and to-be-verified whole vehicle road noise curve, a first noise evaluation parameter value at a first preset noise frequency in the to-be-verified whole vehicle acceleration noise curve is determined, and a second noise evaluation parameter value at a second preset noise frequency in the to-be-verified whole vehicle road noise curve is determined. When the error between the first noise evaluation parameter value in the to-be-verified whole vehicle acceleration noise curve and the result obtained by the first proxy model optimization solving is within the first error range, and the error between the second noise evaluation parameter value in the to-be-verified whole vehicle road noise curve and the result obtained by the second proxy model optimization solving is within the second error range, it is determined that the target design result is verified, the final target design result obtained by the first proxy model and the second proxy model optimization solving has accurate NVH performance, and the target design result can be used for sample vehicle production and actual test verification.

[0099] When the error between the first noise evaluation parameter value in the to-be-verified whole vehicle acceleration noise curve and the result obtained by the first proxy model optimization solving is not within the first error range, or the error between the second noise evaluation parameter value in the to-be-verified whole vehicle road noise curve and the result obtained by the second proxy model optimization solving is not within the second error range, it is determined that the target design result is not verified. If the error between the first noise evaluation parameter value in the to-be-verified whole vehicle acceleration noise curve and the result obtained by the first proxy model optimization solving is not within the first error range, resulting in that the target design result is not verified, the sample number of the sunroof design sample used for constructing the proxy model is increased, and the construction of the first proxy model is re-performed. If the error between the second noise evaluation parameter value in the to-be-verified whole vehicle road noise curve and the result obtained by the second proxy model optimization solving is not within the second error range, resulting in that the target design result is not verified, the sample number of the sunroof design sample used for constructing the proxy model is increased, and the construction of the second proxy model is re-performed. Then, a new round of optimization solving of the sunroof design parameter of the whole vehicle is performed based on the re-constructed proxy model, until the target design result that is verified is obtained.

[0100] In this embodiment, as shown in Figure 3 The parameter design method of the sunroof provided by the application can reduce noise. First, a whole vehicle fusion simulation model is built. Then, noise evaluation parameter simulation calculation under whole vehicle acceleration noise and noise evaluation parameter simulation calculation under whole vehicle road noise are performed on the whole vehicle fusion simulation model, and respective whole vehicle acceleration noise curves and whole vehicle road noise curves are obtained. A first noise evaluation parameter peak value is selected from the whole vehicle acceleration noise curve, and a noise frequency at a position of the selected first noise evaluation parameter peak value is determined as a first candidate noise frequency. Meanwhile, a second noise evaluation parameter peak value is selected from the whole vehicle road noise curve, and a noise frequency at a position of the selected second noise evaluation parameter peak value is determined as a second candidate noise frequency. A first sunroof modal participation amount at each first candidate noise frequency is determined, and a second sunroof modal participation amount at each second candidate noise frequency is determined. According to a relationship between all first sunroof modal participation amounts and a first threshold value, a first preset noise frequency is selected from all first candidate noise frequencies of the whole vehicle acceleration noise curve. According to a relationship between all second sunroof modal participation amounts and a second threshold value, a second preset noise frequency is selected from all second candidate noise frequencies of the whole vehicle road noise curve. After the first preset noise frequency and the second preset noise frequency are determined, a preset number of sunroof design samples are constructed in advance, and a sunroof finite element model in the whole vehicle fusion simulation model is reconstructed by each sunroof design sample to obtain a target whole vehicle fusion simulation model corresponding to each sunroof design sample. For each target whole vehicle fusion simulation model, noise evaluation parameter simulation calculation under whole vehicle acceleration noise and noise evaluation parameter simulation calculation under whole vehicle road noise are performed on the target whole vehicle fusion simulation model, and respective target whole vehicle acceleration noise curves and target whole vehicle road noise curves are obtained. Then, a first noise evaluation parameter value at the first preset noise frequency in the target whole vehicle acceleration noise curve is determined, and a second noise evaluation parameter value at the second preset noise frequency in the target whole vehicle road noise curve is determined. A first proxy model is constructed according to all sunroof design samples and the corresponding first noise evaluation parameter values, and a second proxy model is constructed according to all sunroof design samples and the corresponding second noise evaluation parameter values. Whether the accuracy of the constructed proxy model meets the requirements is determined. If not, the number of sunroof design samples is increased, and more data is used to construct the proxy model until the accuracy of the proxy model meets the requirements.

[0101] After the first proxy model and the second proxy model meeting the accuracy requirements are obtained, a large number of sunroof design samples are constructed, and for each sunroof design sample, the first proxy model and the second proxy model are inputted with the sunroof design sample each time to obtain the first noise evaluation parameter value outputted by the first proxy model and the second noise evaluation parameter outputted by the second proxy model corresponding to the inputted sunroof design sample. In a case where the first noise evaluation parameter value outputted and belonging to a same sunroof design sample meets the first optimization target, and the second noise evaluation parameter value outputted and belonging to the same sunroof design sample meets the second optimization target, the same sunroof design sample constructed is determined as a design result to be evaluated. The cost of each design result to be evaluated obtained is calculated respectively, and the design result to be evaluated with the lowest cost is determined as a target design result meeting the optimization target.

[0102] Finally, a corresponding vehicle-to-be-verified fusion simulation model is constructed for the target design result, and simulation calculation is performed on the vehicle-to-be-verified fusion simulation model to obtain a vehicle-to-be-verified acceleration noise curve and a vehicle-to-be-verified road noise curve. The first noise evaluation parameter value at a first preset noise frequency in the vehicle-to-be-verified acceleration noise curve is determined, and the second noise evaluation parameter value at a second preset noise frequency in the vehicle-to-be-verified road noise curve is determined. In a case where an error between the first noise evaluation parameter value in the vehicle-to-be-verified acceleration noise curve and a result obtained by the first proxy model in the optimization solving is within a first error range, and an error between the second noise evaluation parameter value in the vehicle-to-be-verified road noise curve and a result obtained by the second proxy model in the optimization solving is within a second error range, the target design result is determined as passing the verification, and otherwise, the target design result is determined as failing the verification. In a case where the target design result fails the verification, the number of sunroof design samples is increased, and more data is used to construct proxy models to perform a new round of optimization solving.

[0103] Based on the same inventive concept, an embodiment of the present application provides a sunroof parameter design system for reducing noise, as shown in Figure 4 The sunroof parameter design system 400 for reducing noise includes:

[0104] A simulation model building module 401 is configured to build a vehicle-to-be-verified fusion simulation model, where the vehicle-to-be-verified fusion simulation model is composed of a finite element model of a first subsystem and a super-element model of a second subsystem of a vehicle, and the first subsystem includes a tire, a power assembly and a sunroof.

[0105] A sample building module 402 is configured to build a preset number of sunroof design samples according to a sunroof design parameter set.

[0106] The simulation model reconstruction module 403 is configured to reconstruct the sunroof finite element model in the whole vehicle fusion simulation model for each sunroof design sample respectively to obtain a target whole vehicle fusion simulation model corresponding to each sunroof design sample respectively;

[0107] The simulation calculation module 404 is configured to perform simulation calculation of noise evaluation parameters under whole vehicle acceleration noise and simulation calculation of noise evaluation parameters under whole vehicle road noise on the target whole vehicle fusion simulation model to obtain a target whole vehicle acceleration noise curve and a target whole vehicle road noise curve respectively;

[0108] The parameter value determination module 405 is configured to determine a first noise evaluation parameter value at a first preset noise frequency in the target whole vehicle acceleration noise curve and determine a second noise evaluation parameter value at a second preset noise frequency in the target whole vehicle road noise curve, the first preset noise frequency being a noise frequency for evaluating the NVH performance of the sunroof structure under whole vehicle acceleration noise, and the second preset noise frequency being a noise frequency for evaluating the NVH performance of the sunroof structure under whole vehicle road noise.

[0109] The proxy model construction module 406 is configured to construct a first proxy model according to all the sunroof design samples and the corresponding first noise evaluation parameter values and construct a second proxy model according to all the sunroof design samples and the corresponding second noise evaluation parameter values, the first proxy model being a model for analyzing the relationship between the sunroof design parameters and the whole vehicle acceleration noise, and the second proxy model being a model for analyzing the relationship between the sunroof design parameters and the whole vehicle road noise.

[0110] The optimization solution module 407 is configured to perform optimization solution on the sunroof design parameters of the whole vehicle through the first proxy model and the second proxy model to obtain a target design result meeting an optimization target.

[0111] Optionally, the sunroof parameter design system 400 for reducing noise further comprises a preset noise frequency determination module configured to determine the first preset noise frequency and the second preset noise frequency.

[0112] The preset noise frequency determination module comprises:

[0113] The first simulation calculation module is configured to perform simulation calculation of noise evaluation parameters under whole vehicle acceleration noise and simulation calculation of noise evaluation parameters under whole vehicle road noise on the whole vehicle fusion simulation model to obtain a whole vehicle acceleration noise curve and a whole vehicle road noise curve respectively.

[0114] The screening module is configured to determine the first preset noise frequency from the whole vehicle acceleration noise curve according to a first screening rule and determine the second preset noise frequency from the whole vehicle road noise curve according to a second screening rule.

[0115] Optionally, the screening module comprises:

[0116] The first screening module is configured to screen a first noise evaluation parameter peak value from the vehicle acceleration noise curve, and determine a noise frequency at a position of the screened first noise evaluation parameter peak value as a first candidate noise frequency.

[0117] The second screening module is configured to screen a second noise evaluation parameter peak value from the vehicle road noise curve, and determine a noise frequency at a position of the screened second noise evaluation parameter peak value as a second candidate noise frequency.

[0118] The sunroof modal participation amount determination module is configured to determine a first sunroof modal participation amount at each of the first candidate noise frequencies, and determine a second sunroof modal participation amount at each of the second candidate noise frequencies.

[0119] The third screening module is configured to screen a first preset noise frequency from all the first candidate noise frequencies of the vehicle acceleration noise curve according to a relationship between all the first sunroof modal participation amounts and a first threshold value.

[0120] The fourth screening module is configured to screen a second preset noise frequency from all the second candidate noise frequencies of the vehicle road noise curve according to a relationship between all the second sunroof modal participation amounts and a second threshold value.

[0121] Optionally, the optimization solving module 407 comprises:

[0122] The optimization solving submodule is configured to input the constructed sunroof design sample into the first proxy model and the second proxy model respectively for optimization solving, to obtain a first noise evaluation parameter value output by the first proxy model and a second noise evaluation parameter output by the second proxy model.

[0123] The design result to be evaluated determination module is configured to determine that the constructed sunroof design sample is a design result to be evaluated, in a case where the output first noise evaluation parameter value meets a first optimization target, and the output second noise evaluation parameter value meets a second optimization target.

[0124] The target design result determination module is configured to perform cost calculation on each of the obtained design results to be evaluated respectively, and determine a design result to be evaluated with a lowest cost as a target design result meeting the optimization target.

[0125] Optionally, the sunroof parameter design system 400 for reducing noise further comprises:

[0126] The correlation analysis module is configured to perform correlation analysis on all the sunroof design parameters in the set of sunroof design parameters according to all the target vehicle acceleration noise curves and all the target vehicle road noise curves, and obtain a correlation result, wherein the correlation result records a correlation size of an influence of each sunroof design parameter on noise.

[0127] The target sunroof design parameter determination module is configured to determine target sunroof design parameters from all the sunroof design parameters according to the correlation result.

[0128] The optimization solving module 407 is further configured to perform optimization solving on the target sunroof design parameters of the vehicle by using the first proxy model and the second proxy model, and obtain a target design result that meets an optimization target.

[0129] Optionally, the sunroof parameter design system 400 for reducing noise further includes:

[0130] The precision verification module is configured to perform precision verification on each proxy model respectively.

[0131] The proxy model reconstruction module is configured to increase a sample quantity of the constructed sunroof design samples and reconstruct a new proxy model corresponding to the proxy model, in a case where precision of the proxy model does not reach a precision requirement corresponding to the proxy model.

[0132] Optionally, the sunroof parameter design system 400 for reducing noise further includes:

[0133] The model construction module is configured to construct a corresponding to-be-verified vehicle fusion simulation model according to the target design result.

[0134] The second simulation calculation module is configured to perform simulation calculation on noise evaluation parameters under vehicle acceleration noise and under vehicle road noise for the to-be-verified vehicle fusion simulation model, and obtain a corresponding to-be-verified vehicle acceleration noise curve and a to-be-verified vehicle road noise curve.

[0135] The parameter value determination module 405 is further configured to determine a first noise evaluation parameter value at a first preset noise frequency in the to-be-verified vehicle acceleration noise curve, and determine a second noise evaluation parameter value at a second preset noise frequency in the to-be-verified vehicle road noise curve.

[0136] The first verification determination module is configured to determine that the target design result passes verification, in a case where an error between the first noise evaluation parameter value in the to-be-verified vehicle acceleration noise curve and a result obtained by optimization solving of the first proxy model is within a first error range, and an error between the second noise evaluation parameter value in the to-be-verified vehicle road noise curve and a result obtained by optimization solving of the second proxy model is within a second error range.

[0137] The second verification determination module increases the sample quantity of the built sunroof design sample and re-performs the construction of the proxy model in a case where the target design result verification fails.

[0138] The optimization solving module 407 is further configured to perform a new round of optimization solving of the sunroof design parameters of the whole vehicle based on the re-constructed proxy model.

[0139] Based on the same inventive concept, an embodiment of the present application provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and running on the processor, and the computer program is executed by the processor to implement the steps in the method for designing sunroof parameters to reduce noise according to the first aspect of the present application.

[0140] Based on the same inventive concept, an embodiment of the present application provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps in the method for designing sunroof parameters to reduce noise according to the first aspect of the present application.

[0141] For the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts are referred to the part of the method embodiment.

[0142] It should be noted that, for the method embodiment, in order to simply describe, the method embodiment is described as a series of action combinations, but those skilled in the art should know that the method embodiment is not limited to the described action sequence, because according to the method embodiment, some steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions involved are not necessarily required by the method embodiment.

[0143] Each embodiment in the specification is described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same and similar parts between the embodiments can be referred to each other.

[0144] Those skilled in the art should know that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the embodiments of the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.

[0145] The computer program instructions can also be loaded onto a computer or other programmable data processing terminal apparatus to cause a series of operational steps to be performed on the computer or other programmable data processing terminal apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable terminal apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0146] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0147] The computer program instructions can also be loaded onto a computer or other programmable data processing terminal apparatus to cause a series of operational steps to be performed on the computer or other programmable data processing terminal apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable terminal apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0148] While preferred embodiments of the application have been described, modifications and variations can be effected to such embodiments by those of ordinary skill in the art once the nature of the

[0149] Finally, it is to be understood that the phraseology or terminology such as "first" and "second" etc. used herein is merely intended to differentiate one entity or operation from another entity or operation, without necessarily requiring or implying any actual such relationship or order between such entities or operations. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0150] The above describes in detail the parameter design method, system, device and medium for reducing noise of a sunroof provided by the present application. The principles and implementation manners of the present application are described by using specific examples. The above description of the embodiments is only used to help understand the method of the present application and its core idea. Meanwhile, for those skilled in the art, the specific implementation manners and application ranges can be changed according to the idea of the present application. In conclusion, the content of the specification should not be understood as a limitation of the present application.

Claims

1. A method for designing skylight parameters to reduce noise, characterized in that: The method comprises: Building a vehicle fusion simulation model, the vehicle fusion simulation model consisting of a finite element model of a first subsystem of the vehicle and a super element model of a second subsystem, the first subsystem including tires, a powertrain, and a sunroof; Constructing a preset number of skylight design samples based on the skylight design parameter set; The sunroof finite element model in the vehicle fusion simulation model is reconstructed through each sunroof design sample to obtain the target vehicle fusion simulation model corresponding to each sunroof design sample; Performing simulation calculations on the noise evaluation parameters of the target vehicle fusion simulation model under vehicle acceleration noise and vehicle road noise, and obtaining the corresponding target vehicle acceleration noise curve and target vehicle road noise curve; Determining a first noise evaluation parameter value at a first preset noise frequency in a target vehicle acceleration noise curve, and determining a second noise evaluation parameter value at a second preset noise frequency in a target vehicle road noise curve, wherein the first preset noise frequency is a noise frequency for evaluating the NVH performance of the sunroof structure under vehicle acceleration noise, and the second preset noise frequency is a noise frequency for evaluating the NVH performance of the sunroof structure under vehicle road noise; A first proxy model is constructed based on all sunroof design samples and corresponding first noise evaluation parameter values, and a second proxy model is constructed based on all sunroof design samples and corresponding second noise evaluation parameter values, wherein the first proxy model is a model for analyzing the relationship between the sunroof design parameters and vehicle acceleration noise, and the second proxy model is a model for analyzing the relationship between the sunroof design parameters and vehicle road noise; The sunroof design parameters of the entire vehicle are optimized and solved using the first proxy model and the second proxy model to obtain a target design result that meets the optimization goal.

2. The method for designing skylight parameters for reducing noise according to claim 1, characterized in that: Determining a first preset noise frequency and a second preset noise frequency includes: Performing simulation calculations on the vehicle fusion simulation model for noise evaluation parameters under vehicle acceleration noise and vehicle road noise, and obtaining corresponding vehicle acceleration noise curves and vehicle road noise curves; According to a first screening rule, a first preset noise frequency is determined from the entire vehicle acceleration noise curve, and according to a second screening rule, a second preset noise frequency is determined from the entire vehicle road noise curve.

3. The method for designing skylight parameters for reducing noise according to claim 2, characterized in that: Determining a first preset noise frequency from the vehicle acceleration noise curve according to a first screening rule, and determining a second preset noise frequency from the vehicle road noise curve according to a second screening rule, including: Screening out a first noise evaluation parameter peak value from the vehicle acceleration noise curve, and determining the noise frequency at the location of the screened out first noise evaluation parameter peak value as a first candidate noise frequency; Screening out a second noise evaluation parameter peak from the entire vehicle road noise curve, and determining the noise frequency at the location of the screened second noise evaluation parameter peak as a second candidate noise frequency; Determine a first window modal participation amount at each of the first candidate noise frequencies, and determine a second window modal participation amount at each of the second candidate noise frequencies; Screening out a first preset noise frequency from all first candidate noise frequencies in the vehicle acceleration noise curve according to a relationship between all first day window modal participation quantities and a first threshold; According to the relationship between all second window modal participation amounts and the second threshold, a second preset noise frequency is screened out from all second candidate noise frequencies in the entire vehicle road noise curve.

4. The method for designing skylight parameters for reducing noise according to claim 1, characterized in that: Optimizing and solving the sunroof design parameters of the entire vehicle using the first proxy model and the second proxy model to obtain a target design result that meets the optimization goal includes: Inputting the constructed skylight design sample into the first proxy model and the second proxy model respectively for optimization and solution, obtaining a first noise evaluation parameter value output by the first proxy model and a second noise evaluation parameter output by the second proxy model; When the output value of the first noise evaluation parameter satisfies the first optimization objective and the output value of the second noise evaluation parameter satisfies the second optimization objective, determining the constructed skylight design sample as the design result to be evaluated; The cost of each design result to be evaluated is calculated respectively, and the design result to be evaluated with the lowest cost is determined as the target design result that meets the optimization goal.

5. The method for designing skylight parameters for reducing noise according to claim 1, characterized in that: Before optimizing and solving the sunroof design parameters of the entire vehicle using the first proxy model and the second proxy model to obtain a target design result that meets the optimization goal, the method further includes: performing a correlation analysis on all sunroof design parameters in the sunroof design parameter set based on all obtained target vehicle acceleration noise curves and all obtained target vehicle road noise curves to obtain a correlation result, wherein the correlation result records the magnitude of the correlation of the effect of each sunroof design parameter on the noise; screening target skylight design parameters from all skylight design parameters according to the correlation result; The optimizing and solving the sunroof design parameters of the entire vehicle by using the first proxy model and the second proxy model to obtain a target design result that meets the optimization goal includes: The target sunroof design parameters of the entire vehicle are optimized and solved by using the first proxy model and the second proxy model to obtain a target design result that meets the optimization target.

6. The method for designing skylight parameters for reducing noise according to claim 1, characterized in that: Before optimizing and solving the sunroof design parameters of the entire vehicle using the first proxy model and the second proxy model to obtain a target design result that meets the optimization goal, the method further includes: Verify the accuracy of each constructed proxy model separately; In the case that the accuracy of the proxy model does not meet the accuracy requirement corresponding to itself, the number of samples of the constructed skylight design samples is increased, and a new proxy model corresponding to the proxy model is reconstructed.

7. A method for designing parameters of a skylight for reducing noise according to any one of claims 1 to 6, characterized in that: The method further comprises: Constructing a corresponding vehicle fusion simulation model to be verified according to the target design results; Performing simulation calculations on the noise evaluation parameters of the vehicle under acceleration noise and the vehicle under road noise for the vehicle fusion simulation model to be verified, to obtain corresponding vehicle acceleration noise curves and vehicle road noise curves to be verified; Determine a first noise evaluation parameter value at a first preset noise frequency in the acceleration noise curve of the vehicle to be verified, and determine a second noise evaluation parameter value at a second preset noise frequency in the road noise curve of the vehicle to be verified; When the error between the value of the first noise evaluation parameter in the full vehicle acceleration noise curve to be verified and the result obtained by optimizing the first proxy model is within a first error range, and the error between the value of the second noise evaluation parameter in the full vehicle road noise curve to be verified and the result obtained by optimizing the second proxy model is within a second error range, it is determined that the target design result has been verified; In the case that the target design result fails to pass the verification, the number of samples of the constructed skylight design samples is increased, and the proxy model is reconstructed; Based on the reconstructed proxy model, a new round of optimization solution of the sunroof design parameters of the whole vehicle is carried out.

8. A skylight parameter design system for reducing noise, characterized in that: The system comprises: A simulation model building module, configured to build a vehicle fusion simulation model, the vehicle fusion simulation model comprising a finite element model of a first subsystem of the vehicle and a super-element model of a second subsystem, the first subsystem including tires, a powertrain, and a sunroof; A sample construction module, for constructing a preset number of skylight design samples based on a set of skylight design parameters; A simulation model reconstruction module is used to reconstruct the sunroof finite element model in the vehicle fusion simulation model using each sunroof design sample to obtain a target vehicle fusion simulation model corresponding to each sunroof design sample; A simulation calculation module is used to simulate and calculate the noise evaluation parameters under vehicle acceleration noise and vehicle road noise for the target vehicle fusion simulation model, and obtain the corresponding target vehicle acceleration noise curve and target vehicle road noise curve; a parameter value determination module, configured to determine a first noise evaluation parameter value at a first preset noise frequency in a target vehicle acceleration noise curve, and to determine a second noise evaluation parameter value at a second preset noise frequency in a target vehicle road noise curve, wherein the first preset noise frequency is a noise frequency for evaluating the NVH performance of the sunroof structure under vehicle acceleration noise, and the second preset noise frequency is a noise frequency for evaluating the NVH performance of the sunroof structure under vehicle road noise; a proxy model construction module, configured to construct a first proxy model based on all sunroof design samples and corresponding first noise evaluation parameter values, and to construct a second proxy model based on all sunroof design samples and corresponding second noise evaluation parameter values, wherein the first proxy model is a model for analyzing the relationship between the sunroof design parameters and vehicle acceleration noise, and the second proxy model is a model for analyzing the relationship between the sunroof design parameters and vehicle road noise; The optimization solution module is used to optimize and solve the sunroof design parameters of the entire vehicle through the first proxy model and the second proxy model to obtain a target design result that meets the optimization goal.

9. An electronic device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and running on the processor, wherein when the computer program is executed by the processor, the steps in the method for designing parameters of a skylight for reducing noise as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for designing parameters of a skylight for reducing noise as claimed in any one of claims 1 to 7 are implemented.

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