Whole vehicle wind noise simulation analysis method, device and equipment and storage medium

Abstract

The invention discloses a whole vehicle wind noise simulation analysis method, device and equipment and a storage medium, and the method comprises the steps: constructing a vehicle model of a target vehicle, carrying out the mesh generation of the vehicle model, and obtaining a vehicle model after the mesh generation; performing steady-state simulation and non-steady-state simulation on the automobile model after grid division in sequence based on the flow field data of the target vehicle to obtain a sound source simulation result; inputting the sound source simulation result into a static stress deformation analysis model to obtain a transmission path simulation result; and improving the automobile model according to the transmission path simulation result, and carrying out FFT (Fast Fourier Transform) conversion and acoustic coupling from a fluid flow field to a sound field on the improved automobile model to obtain a whole automobile wind noise simulation result. The sound source simulation, the transmission path simulation and the in-vehicle response simulation are sequentially carried out based on the flow field data of the target vehicle, the whole vehicle wind noise simulation result is obtained, the wind noise development verification period is shortened, the development precision is improved, and the development cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of wind noise simulation, and in particular to a whole vehicle wind noise simulation analysis method, device, equipment and storage medium. Background Art

[0002] Wind noise refers to the oncoming wind pressure that exceeds the sealing resistance of the car door when the car is driving at high speed. The faster the speed, the greater the wind noise. The car body itself is like a box, and sound itself has the nature of refraction and overlap. When the sound enters the car, if there is no sound-absorbing and sound-insulating material to absorb and block it, the noise will continue to refract and overlap, forming a resonant sound.

[0003] With the increase of speed limits on domestic highways and the improvement of vehicle performance, the wind noise inside the vehicle when driving at high speed is becoming a major concern for drivers and passengers, and is often a TOP5 problem in the after-sales market; wind noise excitation is closely related to the shape of the vehicle. If the excitation size and spectrum characteristics of wind noise are not accurately identified in the styling stage, once the vehicle enters the trial production stage, any styling changes related to wind noise will bring huge time costs and design and material costs. The evaluation of wind noise performance of the whole vehicle in the existing technology is generally to judge the wind noise level, voice clarity and sound insulation performance under different wind speeds and yaw angles through the subjective data of the occupants on the wind noise performance or the objective data of the detection instrument when the vehicle is running at high speed. It is difficult to determine the excitation source, transmission path and response influencing factors under high-speed wind conditions at different wind speeds and yaw angles, resulting in high costs for road and wind tunnel tests for the whole vehicle, long wind noise development and verification cycle and low accuracy.

[0004] Therefore, there is an urgent need for a whole-vehicle wind noise simulation and analysis method that can shorten the wind noise development and verification cycle, improve development accuracy, and reduce development costs. Summary of the invention

[0005] The main purpose of the present invention is to provide a whole vehicle wind noise simulation analysis method, device, equipment and storage medium, aiming to solve the technical problems in the prior art of long vehicle wind noise performance development and verification cycle, high cost and low precision.

[0006] To achieve the above object, the present invention provides a vehicle wind noise simulation analysis method, the method comprising the following steps:

[0007] Constructing a car model of a target vehicle, and meshing the car model to obtain a meshed car model;

[0008] Based on the flow field data of the target vehicle, steady-state simulation and unsteady-state simulation are sequentially performed on the gridded vehicle model to obtain a sound source simulation result;

[0009] Inputting the sound source simulation result into the statics stress-deformation analysis model to obtain the transfer path simulation result;

[0010] The automobile model is improved according to the transfer path simulation result, and the improved automobile model is subjected to FFT transformation from fluid flow field to sound field and acoustic coupling to obtain the whole vehicle wind noise simulation result.

[0011] Optionally, the step of sequentially performing steady-state simulation and unsteady-state simulation on the gridded automobile model based on the flow field data of the target vehicle to obtain a sound source simulation result comprises:

[0012] Acquiring flow field data of the target vehicle, wherein the flow field data includes an external wind speed and a yaw angle of the target vehicle;

[0013] Based on the wind speed outside the vehicle and the yaw angle, a steady-state simulation is performed on the gridded vehicle model using a RANS turbulence model to obtain a steady-state calculation result;

[0014] Based on the steady-state calculation results, the gridded automobile model is subjected to unsteady-state simulation using detached eddy simulation to obtain pressure and velocity data of the sound source area and wind load distribution data of the door;

[0015] The pressure velocity data of the sound source area and the wind load distribution data of the vehicle door are used as the sound source simulation results.

[0016] Optionally, the step of performing unsteady-state simulation on the gridded automobile model using detached eddy simulation based on the steady-state calculation result to obtain pressure velocity data in the sound source area and door wind load distribution data comprises:

[0017] Comparing each turbulence scale in the steady-state calculation result with a preset grid scale threshold;

[0018] When the turbulence scale is smaller than the preset grid scale threshold, the Reynolds average method is used on the grid-divided automobile model based on the steady-state calculation result to obtain pressure velocity data of the first sound source area and wind load distribution data of the first door;

[0019] When the turbulence scale is greater than or equal to the preset grid scale threshold, a large eddy simulation method is used on the grid-divided automobile model based on the steady-state calculation result to obtain pressure and velocity data of a second sound source area and wind load distribution data of a second door;

[0020] The first sound source area pressure velocity data and the second sound source area pressure velocity data are used as sound source area pressure velocity data, and the first door wind load distribution data and the second door wind load distribution data are used as door wind load distribution data.

[0021] Optionally, the step of performing steady-state simulation on the gridded automobile model using a RANS turbulence model based on the wind speed outside the vehicle and the yaw angle to obtain a steady-state calculation result includes:

[0022] determining a noise generating mechanism of the target vehicle;

[0023] Based on the noise generation mechanism, a finite element analysis is performed on the wind speed outside the vehicle and the yaw angle using the Lighthill acoustic analogy method;

[0024] Converting the wind speed outside the vehicle and the yaw angle into sound source data according to the finite element analysis result;

[0025] Based on the sound source data, a steady-state simulation is performed on the gridded automobile model using a RANS turbulence model to obtain a steady-state calculation result.

[0026] Optionally, the step of constructing a car model of the target vehicle and meshing the car model to obtain the meshed car model comprises:

[0027] Constructing a car model of a target vehicle, and performing model geometry cleaning on the car model to obtain a processed car model;

[0028] The processed automobile model is meshed to obtain a meshed automobile model.

[0029] Optionally, the step of inputting the sound source simulation result into a static stress-strain analysis model to obtain a transfer path simulation result includes:

[0030] Using ABAQUS software to establish a static stress-deformation analysis model, and extracting the door wind load distribution data from the sound source simulation results;

[0031] Based on the door wind load distribution data, the static stress-deformation analysis model is used to evaluate and analyze the door deformation and the sealing strip deformation of the target vehicle to obtain an evaluation and analysis result;

[0032] The evaluation and analysis results are used as the transmission path simulation results.

[0033] Optionally, the step of improving the automobile model according to the transfer path simulation result, and performing FFT transformation from fluid flow field to sound field and acoustic coupling on the improved automobile model to obtain the whole vehicle wind noise simulation result includes:

[0034] Determining a door deformation amount and a sealing strip deformation amount of the target vehicle according to the transfer path simulation result;

[0035] Improving the car model based on the door deformation amount and the sealing strip deformation amount to obtain an improved car model;

[0036] Using Actran software to perform FFT transformation from fluid flow field to acoustic field and acoustic coupling on the improved automobile model, and obtain characteristic pressure-boosting cloud map of the acoustic cavity in the car and spectrum curve of sound pressure level at the driver's ear;

[0037] Processing the sound pressure level spectrum curve at the driver's ear to obtain spectrum data, and acquiring speech clarity based on the spectrum data;

[0038] The characteristic pressure-boosting cloud map of the acoustic cavity in the vehicle, the sound pressure level spectrum curve at the driver's ear and the speech clarity are used as the wind noise simulation results of the whole vehicle.

[0039] In addition, to achieve the above-mentioned purpose, the present invention also proposes a whole vehicle wind noise simulation and analysis device, the device comprising:

[0040] A model building module is used to build a car model of a target vehicle and perform mesh division on the car model to obtain a car model after mesh division;

[0041] A sound source simulation module is used to perform steady-state simulation and unsteady-state simulation on the gridded automobile model in sequence based on the flow field data of the target vehicle to obtain a sound source simulation result;

[0042] A path simulation module, used for inputting the sound source simulation result into a static stress-deformation analysis model to obtain a transfer path simulation result;

[0043] The response simulation module is used to improve the vehicle model according to the transfer path simulation result, and perform FFT transformation and acoustic coupling from the fluid flow field to the sound field on the improved vehicle model to obtain the whole vehicle wind noise simulation result.

[0044] In addition, to achieve the above-mentioned purpose, the present invention also proposes a whole vehicle wind noise simulation and analysis device, the device comprising: a memory, a processor, and a whole vehicle wind noise simulation and analysis program stored in the memory and runnable on the processor, the whole vehicle wind noise simulation and analysis program being configured to implement the steps of the whole vehicle wind noise simulation and analysis method as described above.

[0045] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a whole vehicle wind noise simulation analysis program is stored. When the whole vehicle wind noise simulation analysis program is executed by a processor, the steps of the whole vehicle wind noise simulation analysis method as described above are implemented.

[0046] The present invention discloses a method of constructing a car model of a target vehicle, and meshing the car model to obtain a meshed car model; performing steady-state simulation and unsteady-state simulation on the meshed car model in sequence based on the flow field data of the target vehicle to obtain a sound source simulation result; inputting the sound source simulation result into a static stress-deformation analysis model to obtain a transfer path simulation result; improving the car model according to the transfer path simulation result, and performing FFT transformation and acoustic coupling from a fluid flow field to a sound field on the improved car model to obtain a whole vehicle wind noise simulation result. Since the present invention performs steady-state simulation and unsteady-state simulation on the meshed car model through the flow field data of the target vehicle, and then inputs the sound source simulation result into a static stress-deformation analysis model, and then performs FFT transformation and acoustic coupling from a fluid flow field to a sound field on the improved car model, the sound source simulation, transfer path simulation, and in-vehicle response simulation are performed in sequence based on the flow field data of the target vehicle. Compared with the prior art, the present invention shortens the wind noise development and verification cycle, improves development efficiency and accuracy, and reduces development costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic diagram of the flow chart of the first embodiment of the vehicle wind noise simulation analysis method of the present invention;

[0048] Figure 2 It is a schematic diagram of the overall process framework of the vehicle wind noise simulation analysis method of the present invention;

[0049] Figure 3 It is a flow chart of the second embodiment of the vehicle wind noise simulation analysis method of the present invention;

[0050] Figure 4 It is a schematic diagram of a specific process of sound source simulation in the vehicle wind noise simulation analysis method of the present invention;

[0051] Figure 5 A schematic diagram of the flow chart of the third embodiment of the vehicle wind noise simulation analysis method of the present invention;

[0052] Figure 6 This is a structural block diagram of the first embodiment of the vehicle wind noise simulation and analysis device of the present invention;

[0053] Figure 7 It is a structural schematic diagram of a vehicle wind noise simulation and analysis device in a hardware operating environment involved in an embodiment of the present invention.

[0054] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0055] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0056] The embodiment of the present invention provides a vehicle wind noise simulation analysis method, referring to Figure 1 , Figure 1 It is a flow chart of the first embodiment of the vehicle wind noise simulation analysis method of the present invention.

[0057] In this embodiment, the vehicle wind noise simulation analysis method includes steps S10 to S40:

[0058] Step S10: constructing a car model of the target vehicle, and performing mesh division on the car model to obtain a car model after mesh division.

[0059] It should be noted that the execution subject of this embodiment can be a computer server device with data processing, network communication and program running functions used in the wind noise simulation scene, such as a personal computer, a laptop computer, a mobile phone, a smart watch, etc., or an electronic device capable of realizing the above functions, a whole vehicle wind noise simulation and analysis device, etc. The following takes a system including a whole vehicle wind noise simulation and analysis device (hereinafter referred to as the system) as an example to illustrate this embodiment and the following embodiments.

[0060] It is understandable that the car model of the target vehicle in this embodiment can be constructed in a preset model construction software. For example, the preset model construction software can be Fips software or other software with similar functions, and this embodiment does not limit this.

[0061] It should be noted that, in order to accurately obtain the flow field information around the car sound, the non-simplifiable area in the car model may be encrypted, and then the encrypted car model may be meshed.

[0062] It should be added that in order to improve development efficiency and reduce the difficulty of subsequent simulation solutions, before meshing the car model, the model geometry is cleaned up, useless features on the geometric surface are smoothed, geometric holes are filled, and redundant points, lines and surfaces are removed, so as to provide a better geometric model for subsequent meshing and facilitate subsequent simulation solutions.

[0063] In the specific implementation, the front side window, exterior rearview mirror area, tire area, floor area, rear windshield area, rear wing area and body area of ​​the car model that have an impact on the wind noise simulation analysis of the whole vehicle can be encrypted, and the ANSA software can be used to clean the model geometry of the car model, and the Hypermesh software can be used to mesh the car model.

[0064] It should be understood that other software with the same or similar functions may also be used to perform model geometry cleaning or meshing on the automobile model, and this embodiment does not limit this.

[0065] Step S20: Based on the flow field data of the target vehicle, steady-state simulation and non-steady-state simulation are sequentially performed on the gridded vehicle model to obtain a sound source simulation result.

[0066] It should be noted that the flow field data of the target vehicle may be combined operating condition data of the target vehicle at different wind speeds and different yaw angles under a crosswind state.

[0067] It should be understood that steady-state simulation is the simulation of steady-state systems, focusing on the stability and other behavioral characteristics of the system when the simulation time tends to infinity. A steady-state system refers to a system in which the state of the system does not change significantly over time, that is, the various parameters and variables of the system remain relatively stable over a long period of time. An unsteady-state model refers to a physical phenomenon that takes time changes into account. Compared with a steady-state simulation, it can more accurately describe the actual flow process. An unsteady-state system refers to a system in which the state of the system changes significantly over time.

[0068] In the specific implementation, the star software can be used to use the flow field data of the target vehicle to simulate the flow field of the whole vehicle under the crosswind state, and the RANS turbulence model can be used for steady-state simulation. On the basis of the steady-state calculation, the detached eddy simulation (DES) based on the SSTk-ω turbulence model is used for unsteady-state simulation to obtain the pressure and velocity data of the sound source area of ​​the transient flow field under the crosswind state and the door wind load distribution data by simulating the external flow field of the whole vehicle, and the pressure and velocity data of the sound source area and the door wind load distribution data are used as the sound source simulation results.

[0069] It should be explained that detached eddy simulation is a method for calculating turbulence between large eddy simulation (LES) and Reynolds time-averaged method (RANS). Detached eddy simulation has the advantages of high calculation accuracy of large eddy simulation and fast calculation speed of Reynolds averaging method. It does not have strict requirements on the size of the grid as large eddy simulation, so it can save a lot of calculation speed. When the turbulence scale is smaller than the maximum grid size near the solid boundary, detached eddy simulation will use Reynolds averaging method to calculate the area; when the turbulence length size exceeds the maximum grid size, large eddy simulation method will be used to calculate the area.

[0070] Step S30: inputting the sound source simulation result into the static stress-deformation analysis model to obtain the transfer path simulation result.

[0071] It should be understood that the static stress-deformation analysis model is a theoretical or numerical model used in engineering mechanics to analyze and predict the stress distribution and deformation degree of an object under static load. It is mainly based on the basic principles of statics and solves the stress distribution and deformation inside the object by considering the force system, boundary conditions and mechanical properties of the material.

[0072] It should be noted that the above transfer path simulation result may be an evaluation and analysis result obtained after evaluating and analyzing the door deformation and the sealing strip deformation of the target vehicle.

[0073] In a specific implementation, ABAQUS software can be used to establish a static stress-deformation analysis model, and the door wind load distribution data in the sound source simulation results can be extracted; then, based on the door wind load distribution data, the static stress-deformation analysis model is used to evaluate and analyze the door deformation and sealing strip deformation of the target vehicle to obtain evaluation and analysis results; and the evaluation and analysis results are used as the transfer path simulation results.

[0074] It should be understood that the present embodiment may also use other software having the same or similar functions as the ABAQUS software to establish a static stress-deformation analysis model, and the present embodiment is not limited to this.

[0075] Step S40: improving the vehicle model according to the transfer path simulation result, and performing FFT transformation from fluid flow field to sound field and acoustic coupling on the improved vehicle model to obtain a whole vehicle wind noise simulation result.

[0076] It should be understood that FFT transform stands for Fast Fourier Transform and acoustic coupling generally refers to the interaction between an acoustic field and a structure or other acoustic fields.

[0077] It should be noted that the above-mentioned vehicle wind noise simulation results include the characteristic pressure boost cloud map of the vehicle's acoustic cavity, the sound pressure level spectrum curve at the driver's ear, and the speech clarity.

[0078] In a specific implementation, the door deformation and sealing strip deformation of the target vehicle can be determined according to the transfer path simulation result; the vehicle model is improved based on the door deformation and the sealing strip deformation to obtain an improved vehicle model; the improved vehicle model is subjected to FFT transformation and acoustic coupling from fluid flow field to sound field using Actran software to obtain a characteristic pressure boost cloud map of the in-vehicle acoustic cavity and a spectrum curve of the sound pressure level at the driver's ear; the spectrum curve of the sound pressure level at the driver's ear is processed to obtain spectrum data, and speech clarity is obtained based on the spectrum data; the characteristic pressure boost cloud map of the in-vehicle acoustic cavity, the spectrum curve of the sound pressure level at the driver's ear and the speech clarity are used as the whole vehicle wind noise simulation result.

[0079] It is understandable that Actran software is an acoustic simulation software. In this embodiment, other acoustic simulation software with the same or similar functions can also be used to perform FFT transformation and acoustic coupling from fluid flow field to sound field to obtain the characteristic pressure boost cloud map of the sound cavity in the car and the sound pressure level spectrum curve at the driver's ear. This embodiment is not limited to this.

[0080] refer to Figure 2 , Figure 2 It is a schematic diagram of the overall process framework of the whole vehicle wind noise simulation analysis method of the present invention. In the figure, ①GAE modeling: Hypermesh software can be used for modeling, to clean the geometric surfaces of the vehicle exterior surface and the door structure model, smooth out useless geometric features, fill geometric voids, remove redundant points, lines and surfaces, and perform meshing to obtain the vehicle exterior surface finite element mesh and the door structure finite element mesh; ②Steady-state calculation (i.e. steady-state external field wind noise calculation): based on the steady-state physical model (i.e. the car model after meshing), starccm+ software can be used to perform steady-state flow field simulation calculations of the whole vehicle under crosswind conditions with different incoming flow velocities and different yaw angles (i.e. different vehicle exterior wind speeds and yaw angles), and the door wind load can be obtained based on the flow field simulation calculation. Distribution data; ③ Output door structure data (door deformation calculation): Abaqus software can be used to establish a static stress-deformation analysis model, set constraints, wind loads, and displacement outputs, etc., and simulate to obtain the transfer path simulation results; ④ Output (door deformation optimization): Abaqus post-processing software can be used to calculate the door deformation, post-process the calculation results, output the deformation cloud map, etc., evaluate and analyze the door deformation and sealing strip deformation of the target vehicle, and improve the car model based on the evaluation and analysis results, perform FFT transformation and acoustic coupling from fluid flow field to sound field on the improved car model, and obtain the wind noise simulation results of the whole vehicle.

[0081] This embodiment discloses building a car model of a target vehicle, and meshing the car model to obtain a meshed car model; performing steady-state simulation and unsteady-state simulation on the meshed car model in sequence based on the flow field data of the target vehicle to obtain a sound source simulation result; inputting the sound source simulation result into a static stress-deformation analysis model to obtain a transfer path simulation result; improving the car model according to the transfer path simulation result, and performing FFT transformation and acoustic coupling from a fluid flow field to a sound field on the improved car model to obtain a whole vehicle wind noise simulation result. Since this embodiment performs steady-state simulation and unsteady-state simulation on the meshed car model through the flow field data of the target vehicle, and then inputs the sound source simulation result into a static stress-deformation analysis model, and then performs FFT transformation and acoustic coupling from a fluid flow field to a sound field on the improved car model, it realizes the sequential sound source simulation, transfer path simulation, and in-vehicle response simulation based on the flow field data of the target vehicle. Compared with the prior art, this embodiment shortens the wind noise development and verification cycle, improves development efficiency and accuracy, and reduces development costs.

[0082] refer to Figure 3 , Figure 3 It is a flow chart of the second embodiment of the vehicle wind noise simulation analysis method of the present invention.

[0083] Based on the above first embodiment, in this embodiment, step S20 includes steps S201 to S204:

[0084] Step S201: Acquire flow field data of the target vehicle, wherein the flow field data includes the wind speed outside the target vehicle and the yaw angle.

[0085] Step S202: Based on the wind speed outside the vehicle and the yaw angle, a steady-state simulation is performed on the gridded vehicle model using a RANS turbulence model to obtain a steady-state calculation result.

[0086] It should be noted that, in order to ensure the accuracy of automobile wind noise development, step S202 includes steps S2021 to S2024:

[0087] Step S2021: Determine the noise generation mechanism of the target vehicle.

[0088] Step S2022: Based on the noise generation mechanism, a finite element analysis is performed on the wind speed outside the vehicle and the yaw angle using the Lighthill acoustic analogy method.

[0089] Step S2023: converting the wind speed outside the vehicle and the yaw angle into sound source data according to the finite element analysis result.

[0090] Step S2024: Based on the sound source data, a steady-state simulation is performed on the gridded automobile model using a RANS turbulence model to obtain a steady-state calculation result.

[0091] It should be noted that the specific equation of the above noise generation mechanism is as follows:

[0092]

[0093] Where ρ is the change in air density; c 0 is the speed of sound; u i 、v i and v j is the component of velocity; δ(f) is the δ function, f is the body force; P ij is the compressive stress tensor; τ ij is the viscous stress tensor, t is the receiving time, x is the position vector of the response point, and x i and x j are the two components of the position vector of the response point, and j is the coordinate direction. The left side of the above equation is the sound field to be determined, the first term on the right side of the equation is the monopole sound source term, the second term is the dipole sound source term, and the third term is the quadrupole sound source term. Since the working condition of the car when driving belongs to the low Mach number condition, the influence of the dipole sound source is mainly considered in the calculation of aerodynamic noise, and the influence of the monopole sound source and the quadrupole sound source are ignored.

[0094] The equation corresponding to the above Lighthill acoustic analogy is as follows:

[0095]

[0096] In the formula, ρ a =ρ-ρ 0 is the acoustic variable, ρ is the ambient flow density, ρ 0 is the reference density; c 0 is the speed of sound; T ij is the stress tensor.

[0097] It should be explained that the wind speed and yaw angle outside the vehicle are converted into sound source data based on the finite element analysis results. For example, based on the lighthill sound analogy method and combined with the curle sound source theory, the following equation can be obtained using Actran software:

[0098]

[0099] The first term on the right side of the equal sign in the above equation is the volume sound source, the second term is the area sound source, T is the Lighthill stress, T ij is the Lighthill stress tensor, Ω is the closed space enclosed by the curve, Γ(x) is the gamma function, δ is the Direcδ function, and ni is the unit external normal vector on the control surface.

[0100] Step S203: Based on the steady-state calculation results, the gridded car model is subjected to unsteady-state simulation using detached eddy simulation to obtain pressure and velocity data in the sound source area and door wind load distribution data.

[0101] It should be noted that each turbulence scale in the steady-state calculation result can be compared with a preset grid scale threshold; when the turbulence scale is less than the preset grid scale threshold, the Reynolds average method is used on the grid-divided car model based on the steady-state calculation result to obtain the first sound source area pressure-velocity data and the first door wind load distribution data; when the turbulence scale is greater than or equal to the preset grid scale threshold, the large eddy simulation method is used on the grid-divided car model based on the steady-state calculation result to obtain the second sound source area pressure-velocity data and the second door wind load distribution data; the first sound source area pressure-velocity data and the second sound source area pressure-velocity data are used as the sound source area pressure-velocity data, and the first door wind load distribution data and the second door wind load distribution data are used as the door wind load distribution data.

[0102] In the specific implementation, the unsteady-state simulation uses the detached eddy simulation (DES) based on the SST k-ω turbulence model. The detached eddy simulation is a method for calculating turbulence between the large eddy simulation (LES) and the Reynolds time-averaged method (RANS). The detached eddy simulation has the advantages of high calculation accuracy of the large eddy simulation and fast calculation speed of the Reynolds average method. It has less stringent requirements on the size of the grid than the large eddy simulation, so it can save a lot of calculation speed. The detached eddy simulation will use the Reynolds average method to calculate the area near the solid boundary where the turbulence scale is smaller than the maximum grid size. When the turbulence length size exceeds the maximum grid size, the large eddy simulation method will be used to calculate the area.

[0103] Step S204: taking the sound source area pressure velocity data and the door wind load distribution data as sound source simulation results.

[0104] For example, refer to Figure 4 , Figure 4 The specific process diagram of the sound source simulation in the whole vehicle wind noise simulation analysis method of the present invention. In the figure, ANSA software is used to clean up the model geometry, smooth out useless features on the geometric surface, fill geometric holes, remove redundant points, lines and surfaces, provide a better geometric model for subsequent meshing, and facilitate subsequent solution work; Hypermesh software is used for meshing. Sound source simulation and extraction: Star software is used to simulate the flow field of the whole vehicle under the crosswind state, and the RANS turbulence model is used for steady-state simulation (i.e. steady-state solution calculation). On the basis of the steady-state calculation, the detached eddy simulation (DES) turbulence model is used for non-steady-state simulation (i.e. transient solution calculation), and the pressure and velocity data of the sound source area of ​​the transient flow field under the crosswind state are obtained, as well as the wind load distribution data of the door obtained by the simulation calculation of the external flow field of the whole vehicle.

[0105] This embodiment discloses obtaining the flow field data of the target vehicle, the flow field data including the wind speed outside the vehicle and the yaw angle of the target vehicle; based on the wind speed outside the vehicle and the yaw angle, the RANS turbulence model is used to perform steady-state simulation on the gridded vehicle model to obtain steady-state calculation results; based on the steady-state calculation results, the detached eddy simulation is used to perform unsteady-state simulation on the gridded vehicle model to obtain the pressure velocity data of the sound source area and the wind load distribution data of the door; the pressure velocity data of the sound source area and the wind load distribution data of the door are used as the sound source simulation results. Since this embodiment uses the RANS turbulence model for steady-state simulation and the detached eddy simulation for unsteady-state simulation, compared with the prior art, this embodiment improves the efficiency of data processing, thereby improving the development efficiency of the wind noise of the whole vehicle.

[0106] refer to Figure 5 , Figure 5 It is a flow chart of the third embodiment of the vehicle wind noise simulation analysis method of the present invention.

[0107] Based on the above embodiments, in this embodiment, step S10 includes steps S101 to S102:

[0108] Step S101: constructing a car model of a target vehicle, and performing model geometry cleaning on the car model to obtain a processed car model.

[0109] Step S102: meshing the processed car model to obtain a meshed car model.

[0110] It should be noted that model geometry cleaning is an important step in 3D modeling and finite element analysis. It aims to simplify and repair the model and improve the efficiency and quality of meshing. The purpose of model geometry cleaning is to 1. Simplify the model: remove unnecessary details and tiny features in the model to reduce the amount of calculation. 2. Repair errors: correct geometric errors in the model, such as overlapping faces, missing faces, free edges, etc. 3. Improve mesh quality: provide a high-quality geometric model for subsequent meshing, thereby improving the accuracy and efficiency of finite element analysis.

[0111] In the specific implementation, ANSA software can be used to clean up the model geometry of the target vehicle, smooth out useless features on the geometric surface, fill geometric holes, remove redundant points, lines and surfaces, and provide a simpler car model for subsequent meshing.

[0112] This embodiment discloses building a car model of a target vehicle, performing model geometry cleaning on the car model to obtain a processed car model, and performing meshing on the processed car model to obtain a meshed car model. Compared with the prior art, this embodiment provides a high-quality geometric model for meshing, thereby improving the accuracy and efficiency of finite element analysis, and further improving the efficiency and accuracy of wind noise development of the entire vehicle.

[0113] In addition, an embodiment of the present invention further proposes a storage medium, on which a whole vehicle wind noise simulation analysis program is stored. When the whole vehicle wind noise simulation analysis program is executed by a processor, the steps of the whole vehicle wind noise simulation analysis method as described above are implemented.

[0114] Reference Figure 6 , Figure 6 This is a structural block diagram of the first embodiment of the vehicle wind noise simulation and analysis device of the present invention.

[0115] like Figure 6 As shown, the whole vehicle wind noise simulation and analysis device proposed in the embodiment of the present invention includes: a model building module 601, a sound source simulation module 602, a path simulation module 603 and a response simulation module 604.

[0116] The model building module 601 is used to build a car model of a target vehicle and perform mesh division on the car model to obtain a car model after mesh division.

[0117] The sound source simulation module 602 is used to perform steady-state simulation and non-steady-state simulation on the gridded vehicle model in sequence based on the flow field data of the target vehicle to obtain a sound source simulation result.

[0118] The path simulation module 603 is used to input the sound source simulation result into the static stress deformation analysis model to obtain the transfer path simulation result.

[0119] The response simulation module 604 is used to improve the vehicle model according to the transfer path simulation result, and perform FFT transformation and acoustic coupling from the fluid flow field to the sound field on the improved vehicle model to obtain the whole vehicle wind noise simulation result.

[0120] The path simulation module 603 is also used to establish a static stress-deformation analysis model using ABAQUS software, and extract the door wind load distribution data in the sound source simulation result; based on the door wind load distribution data, the static stress-deformation analysis model is used to evaluate and analyze the door deformation and sealing strip deformation of the target vehicle to obtain evaluation and analysis results; and the evaluation and analysis results are used as the transfer path simulation results.

[0121] The response simulation module 604 is also used to determine the door deformation and sealing strip deformation of the target vehicle according to the transfer path simulation result; improve the vehicle model based on the door deformation and the sealing strip deformation to obtain an improved vehicle model; use Actran software to perform FFT transformation and acoustic coupling from fluid flow field to sound field on the improved vehicle model to obtain a characteristic pressure boost cloud map of the vehicle's acoustic cavity and a sound pressure level spectrum curve at the driver's ear; process the sound pressure level spectrum curve at the driver's ear to obtain spectrum data, and obtain speech clarity based on the spectrum data; use the characteristic pressure boost cloud map of the vehicle's acoustic cavity, the sound pressure level spectrum curve at the driver's ear and the speech clarity as the whole vehicle wind noise simulation result.

[0122] The embodiment of the device discloses the construction of a car model of a target vehicle, and meshing the car model to obtain a meshed car model; based on the flow field data of the target vehicle, the meshed car model is sequentially subjected to steady-state simulation and unsteady-state simulation to obtain a sound source simulation result; the sound source simulation result is input into a static stress-deformation analysis model to obtain a transfer path simulation result; the car model is improved according to the transfer path simulation result, and the improved car model is subjected to FFT transformation from fluid flow field to sound field and acoustic coupling to obtain a whole vehicle wind noise simulation result. Since the embodiment of the device performs steady-state simulation and unsteady-state simulation on the meshed car model through the flow field data of the target vehicle, and then inputs the sound source simulation result into a static stress-deformation analysis model, and then performs FFT transformation from fluid flow field to sound field and acoustic coupling on the improved car model, the sound source simulation, transfer path simulation and in-vehicle response simulation are sequentially performed based on the flow field data of the target vehicle. Compared with the prior art, the embodiment of the device shortens the wind noise development and verification cycle, improves development efficiency and accuracy, and reduces development costs.

[0123] Based on the first embodiment of the whole vehicle wind noise simulation and analysis device of the present invention, a second embodiment of the whole vehicle wind noise simulation and analysis device of the present invention is proposed.

[0124] In this embodiment, the sound source simulation module 602 is also used to obtain the flow field data of the target vehicle, and the flow field data includes the wind speed outside the target vehicle and the yaw angle; based on the wind speed outside the vehicle and the yaw angle, the RANS turbulence model is used to perform a steady-state simulation on the gridded car model to obtain a steady-state calculation result; based on the steady-state calculation result, the detached eddy simulation is used to perform a non-steady-state simulation on the gridded car model to obtain pressure-velocity data in the sound source area and door wind load distribution data; the pressure-velocity data in the sound source area and the door wind load distribution data are used as the sound source simulation result.

[0125] The sound source simulation module 602 is also used to compare each turbulence scale in the steady-state calculation result with a preset grid scale threshold; when the turbulence scale is less than the preset grid scale threshold, the Reynolds average method is used on the grid-divided car model based on the steady-state calculation result to obtain the first sound source area pressure-velocity data and the first door wind load distribution data; when the turbulence scale is greater than or equal to the preset grid scale threshold, the large eddy simulation method is used on the grid-divided car model based on the steady-state calculation result to obtain the second sound source area pressure-velocity data and the second door wind load distribution data; the first sound source area pressure-velocity data and the second sound source area pressure-velocity data are used as the sound source area pressure-velocity data, and the first door wind load distribution data and the second door wind load distribution data are used as the door wind load distribution data.

[0126] The sound source simulation module 602 is also used to determine the noise generation mechanism of the target vehicle; based on the noise generation mechanism, the lighthill acoustic analogy method is used to perform finite element analysis on the wind speed outside the vehicle and the yaw angle; according to the finite element analysis results, the wind speed outside the vehicle and the yaw angle are converted into sound source data; based on the sound source data, the RANS turbulence model is used to perform steady-state simulation on the gridded car model to obtain steady-state calculation results.

[0127] Other embodiments or specific implementations of the vehicle wind noise simulation and analysis device of the present invention can refer to the above-mentioned method embodiments, which will not be described in detail here.

[0128] The present application provides a whole vehicle wind noise simulation and analysis device, the whole vehicle wind noise simulation and analysis device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the whole vehicle wind noise simulation and analysis method in the above-mentioned embodiment one.

[0129] Reference below Figure 7 , which shows a schematic diagram of the structure of a whole vehicle wind noise simulation and analysis device suitable for implementing the embodiment of the present application. The whole vehicle wind noise simulation and analysis device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 7The vehicle wind noise simulation and analysis device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0130] like Figure 7 As shown, the whole vehicle wind noise simulation and analysis device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the whole vehicle wind noise simulation and analysis device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the whole vehicle wind noise simulation and analysis device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a whole vehicle wind noise simulation and analysis device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0131] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0132] The whole vehicle wind noise simulation and analysis device provided by the present application adopts the whole vehicle wind noise simulation and analysis method in the above embodiment, which can solve the technical problems of long development and verification cycle, high cost and low precision for the whole vehicle wind noise performance of automobiles in the prior art. Compared with the prior art, the beneficial effects of the whole vehicle wind noise simulation and analysis device provided by the present application are the same as the beneficial effects of the whole vehicle wind noise simulation and analysis method provided by the above embodiment, and the other technical features in the whole vehicle wind noise simulation and analysis device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0133] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0134] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0135] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0136] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0137] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0138] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A vehicle wind noise simulation analysis method, characterized in that: The method comprises: Constructing a car model of a target vehicle, and meshing the car model to obtain a meshed car model; Based on the flow field data of the target vehicle, steady-state simulation and unsteady-state simulation are sequentially performed on the gridded vehicle model to obtain a sound source simulation result; Inputting the sound source simulation result into the statics stress-deformation analysis model to obtain the transfer path simulation result; The automobile model is improved according to the transfer path simulation result, and the improved automobile model is subjected to FFT transformation from fluid flow field to sound field and acoustic coupling to obtain the whole vehicle wind noise simulation result.

2. The vehicle wind noise simulation analysis method according to claim 1, characterized in that: The step of sequentially performing steady-state simulation and unsteady-state simulation on the gridded automobile model based on the flow field data of the target vehicle to obtain a sound source simulation result comprises: Acquiring flow field data of the target vehicle, wherein the flow field data includes an external wind speed and a yaw angle of the target vehicle; Based on the wind speed outside the vehicle and the yaw angle, a steady-state simulation is performed on the gridded vehicle model using a RANS turbulence model to obtain a steady-state calculation result; Based on the steady-state calculation results, the gridded automobile model is subjected to unsteady-state simulation using detached eddy simulation to obtain pressure and velocity data of the sound source area and wind load distribution data of the door; The pressure velocity data of the sound source area and the wind load distribution data of the vehicle door are used as the sound source simulation results.

3. The vehicle wind noise simulation analysis method according to claim 2, characterized in that: The step of performing unsteady-state simulation on the gridded automobile model using detached eddy simulation based on the steady-state calculation result to obtain pressure velocity data in the sound source area and wind load distribution data of the door includes: Comparing each turbulence scale in the steady-state calculation result with a preset grid scale threshold; When the turbulence scale is smaller than the preset grid scale threshold, the Reynolds average method is used on the grid-divided automobile model based on the steady-state calculation result to obtain pressure velocity data of the first sound source area and wind load distribution data of the first door; When the turbulence scale is greater than or equal to the preset grid scale threshold, a large eddy simulation method is used on the grid-divided automobile model based on the steady-state calculation result to obtain pressure and velocity data of a second sound source area and wind load distribution data of a second door; The first sound source area pressure velocity data and the second sound source area pressure velocity data are used as sound source area pressure velocity data, and the first door wind load distribution data and the second door wind load distribution data are used as door wind load distribution data.

4. The vehicle wind noise simulation analysis method according to claim 2, characterized in that: The step of performing steady-state simulation on the gridded automobile model using a RANS turbulence model based on the wind speed outside the vehicle and the yaw angle to obtain a steady-state calculation result comprises: determining a noise generating mechanism of the target vehicle; Based on the noise generation mechanism, a finite element analysis is performed on the wind speed outside the vehicle and the yaw angle using the Lighthill acoustic analogy method; Converting the wind speed outside the vehicle and the yaw angle into sound source data according to the finite element analysis result; Based on the sound source data, a steady-state simulation is performed on the gridded automobile model using a RANS turbulence model to obtain a steady-state calculation result.

5. The vehicle wind noise simulation analysis method according to claim 1, characterized in that: The step of constructing a car model of the target vehicle and meshing the car model to obtain the meshed car model comprises: Constructing a car model of a target vehicle, and performing model geometry cleaning on the car model to obtain a processed car model; The processed automobile model is meshed to obtain a meshed automobile model.

6. The vehicle wind noise simulation analysis method according to claim 1, characterized in that: The step of inputting the sound source simulation result into the static stress-deformation analysis model to obtain the transfer path simulation result includes: Using ABAQUS software to establish a static stress-deformation analysis model, and extracting the door wind load distribution data from the sound source simulation results; Based on the door wind load distribution data, the static stress-deformation analysis model is used to evaluate and analyze the door deformation and the sealing strip deformation of the target vehicle to obtain an evaluation and analysis result; The evaluation and analysis results are used as the transmission path simulation results.

7. The vehicle wind noise simulation analysis method according to claim 1, characterized in that: The step of improving the automobile model according to the transfer path simulation result, and performing FFT transformation and acoustic coupling from the fluid flow field to the sound field on the improved automobile model to obtain the whole vehicle wind noise simulation result includes: Determining a door deformation amount and a sealing strip deformation amount of the target vehicle according to the transfer path simulation result; Improving the car model based on the door deformation amount and the sealing strip deformation amount to obtain an improved car model; Using Actran software to perform FFT transformation from fluid flow field to acoustic field and acoustic coupling on the improved automobile model, and obtain characteristic pressure-boosting cloud map of the acoustic cavity in the car and spectrum curve of sound pressure level at the driver's ear; Processing the sound pressure level spectrum curve at the driver's ear to obtain spectrum data, and acquiring speech clarity based on the spectrum data; The characteristic pressure-boosting cloud map of the acoustic cavity in the vehicle, the sound pressure level spectrum curve at the driver's ear and the speech clarity are used as the wind noise simulation results of the whole vehicle.

8. A whole vehicle wind noise simulation and analysis device, characterized in that: The device comprises: A model building module is used to build a car model of a target vehicle and perform mesh division on the car model to obtain a car model after mesh division; A sound source simulation module is used to perform steady-state simulation and unsteady-state simulation on the gridded automobile model in sequence based on the flow field data of the target vehicle to obtain a sound source simulation result; A path simulation module, used for inputting the sound source simulation result into a static stress-deformation analysis model to obtain a transfer path simulation result; The response simulation module is used to improve the vehicle model according to the transfer path simulation result, and perform FFT transformation and acoustic coupling from the fluid flow field to the sound field on the improved vehicle model to obtain the whole vehicle wind noise simulation result.

9. A whole vehicle wind noise simulation and analysis device, characterized in that: The device comprises: a memory, a processor, and a whole vehicle wind noise simulation analysis program stored in the memory and executable on the processor, wherein the whole vehicle wind noise simulation analysis program is configured to implement the steps of the whole vehicle wind noise simulation analysis method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a whole vehicle wind noise simulation analysis program, and when the whole vehicle wind noise simulation analysis program is executed by the processor, the steps of the whole vehicle wind noise simulation analysis method according to any one of claims 1 to 7 are implemented.

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