Automobile wind noise performance determination method and device, controller and storage medium

Abstract

The application discloses a kind of automobile wind noise performance determination method, device, controller and storage medium, the method includes: obtaining wind noise performance determination model: corresponding to the regulation degree parameter generated according to benchmark car under different turbulence parameter, the different turbulence parameter is in the turbulence parameter range of pre-set;Obtain the regulation degree parameter corresponding to any turbulence parameter in the turbulence parameter range of the vehicle to be evaluated;According to the regulation degree parameter corresponding to any turbulence parameter in the turbulence parameter range of the vehicle to be evaluated and the wind noise performance determination model, whether the vehicle to be evaluated meets determination condition is judged;If the vehicle to be evaluated meets determination condition, then determine that the transient wind noise performance of the vehicle to be evaluated is qualified.

Description

Technical Field

[0001] This invention relates to the field of automotive wind noise performance testing, and more particularly to a method, apparatus, controller, and storage medium for determining automotive wind noise performance. Background Technology

[0002] Automotive wind noise refers to the noise generated by the interaction between air and the vehicle body during vehicle operation. The quality of a vehicle's wind noise performance is an important factor in determining its comfort. As people's demands for vehicle quality gradually increase, accurately and objectively assessing a vehicle's wind noise performance will become a crucial reference for automotive research and development and related technological improvements.

[0003] In existing technologies, methods for assessing automotive wind noise performance, both subjectively and objectively, primarily rely on static physical quantities such as speech intelligibility, sound pressure level, and loudness, focusing more on the steady-state performance of automotive wind noise. Therefore, determining how to assess automotive wind noise performance from a transient perspective is a problem that needs to be solved. Summary of the Invention

[0004] This invention discloses a method, device, controller, and storage medium for determining vehicle wind noise performance, in order to solve the problem that existing methods for determining vehicle wind noise performance cannot determine vehicle wind noise performance from a transient perspective.

[0005] A method for determining the wind noise performance of a vehicle, the method comprising:

[0006] The wind noise performance assessment model is generated based on the modulation parameters of the benchmark vehicle under different turbulence parameters, wherein the different turbulence parameters are within the preset turbulence parameter range.

[0007] Obtain the modulation parameters corresponding to any turbulence parameter within the range of the turbulence parameters for the vehicle to be evaluated;

[0008] Based on the modulation parameter corresponding to any turbulence parameter within the range of turbulence parameters and the wind noise performance judgment model, determine whether the vehicle under evaluation meets the judgment conditions.

[0009] If the vehicle under evaluation meets the judgment criteria, then the transient wind noise performance of the vehicle under evaluation is deemed qualified.

[0010] Optionally, the wind noise determination model is obtained in the following way:

[0011] Construct a Cartesian coordinate system with the turbulence intensity parameter as the abscissa and the modulation index parameter as the ordinate;

[0012] The modulation parameters corresponding to the benchmark vehicle under different turbulence parameters are written into the Cartesian coordinate system as different coordinate points to obtain the wind noise performance judgment model; the wind noise performance judgment model is a linear distribution band in the Cartesian coordinate system.

[0013] Optionally, the determination condition is:

[0014] The modulation parameter corresponding to any turbulence parameter within the range of the turbulence parameters of the vehicle to be evaluated is written into the Cartesian coordinate system as a comparison coordinate point, and the comparison coordinate point is located below the linear distribution zone.

[0015] Optionally, the modulation parameters of the benchmark vehicle under different turbulence parameters are obtained in the following way:

[0016] Based on the turbulence parameter range, a vehicle wind noise performance test was conducted on the benchmark vehicle under different test conditions.

[0017] During each of the vehicle wind noise performance tests, turbulence parameters and corresponding modulation parameters were obtained; the turbulence parameters obtained under different test conditions were all within the range of the turbulence parameters.

[0018] Optionally, the benchmark vehicle is equipped with an incoming flow parameter acquisition device on its hood, and a wind noise acquisition device is installed on the outer or inner side of the headrest of the front seat of the benchmark vehicle.

[0019] The vehicle wind noise performance test includes:

[0020] Within a preset test time, a preset number of incoming flow parameters are acquired through the incoming flow parameter acquisition device, and wind noise parameters are acquired through the noise acquisition device.

[0021] The turbulence parameter is obtained based on a preset number of incoming flow parameters;

[0022] The modulation parameters are obtained based on the wind noise parameters.

[0023] Optionally, obtaining the turbulence parameter based on the preset number of incoming flow parameters includes:

[0024] A preset number of turbulence intensities are calculated based on the preset number of incoming flow parameters;

[0025] The turbulence intensity parameter is obtained based on the preset number of turbulence intensities; the turbulence intensity parameter is the arithmetic mean of the preset number of turbulence intensities.

[0026] Optionally, obtaining the modulation parameter based on the wind noise parameter includes:

[0027] A wind noise modulation spectrum is generated based on the wind noise parameters;

[0028] The modulation parameters are obtained based on the wind noise modulation spectrum.

[0029] A vehicle wind noise performance assessment device, comprising:

[0030] The model acquisition unit is used to acquire the wind noise performance judgment model: it is generated based on the modulation parameters of the benchmark vehicle under different turbulence parameters, wherein the different turbulence parameters are within the preset turbulence parameter range;

[0031] The parameter acquisition unit is used to acquire the modulation parameters corresponding to any turbulence parameter within the range of the turbulence parameters for the vehicle to be evaluated.

[0032] The wind noise determination unit is used to determine whether the vehicle under evaluation meets the determination conditions based on the modulation parameter corresponding to any turbulence parameter within the turbulence parameter range and the wind noise performance determination model. If the vehicle under evaluation meets the determination conditions, the transient wind noise performance of the vehicle under evaluation is determined to be qualified. If the vehicle under evaluation does not meet the determination conditions, the transient wind noise performance of the vehicle under evaluation is determined to be unqualified.

[0033] A controller, comprising:

[0034] Memory is used to store computer programs and the data generated by the execution of computer programs.

[0035] A processor is used to execute the calculation program to implement the various steps of a method for determining the wind noise performance of an automobile.

[0036] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of a method for determining the wind noise performance of an automobile.

[0037] In the aforementioned solution, a wind noise performance assessment model is obtained based on the modulation parameters corresponding to different turbulence parameters of a benchmark vehicle. Then, based on the turbulence parameters and corresponding modulation parameters obtained from the vehicle's wind noise performance test, the transient wind noise performance of the vehicle under evaluation is assessed using the turbulence parameters and corresponding modulation parameters obtained from the test and the wind noise assessment model. It is evident that this invention uses turbulence parameters, which exhibit event-specific characteristics, to represent the incoming flow data outside the vehicle at high speeds, and uses modulation parameters to characterize the vehicle's wind noise performance, enabling the assessment of vehicle wind noise performance from a transient perspective. Attached Figure Description

[0038] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is a flowchart illustrating a method for determining the wind noise performance of an automobile, as disclosed in Embodiment 1 of this application.

[0040] Figure 2 This is a partial flowchart illustrating a method for determining the wind noise performance of an automobile as disclosed in Embodiment 1 of this application;

[0041] Figure 3 This is a representation of the Cartesian coordinate system in the method for determining the wind noise performance of an automobile disclosed in Embodiment 1 of this application;

[0042] Figure 4 This is a representation of the wind noise determination model in the vehicle wind noise performance determination method disclosed in Embodiment 1 of this application;

[0043] Figure 5 This is a partial flowchart illustrating a method for determining the wind noise performance of an automobile as disclosed in Embodiment 1 of this application;

[0044] Figure 6 This is a partial flowchart illustrating a method for determining the wind noise performance of an automobile as disclosed in Embodiment 1 of this application;

[0045] Figure 7 This is a schematic diagram of the installation structure of an incoming flow parameter acquisition device and a wind noise parameter acquisition device disclosed in Embodiment 1 of this application;

[0046] Figure 8 This is a schematic diagram of the structure of an incoming flow parameter acquisition device disclosed in Embodiment 1 of this application;

[0047] Figure 9 This is a partial flowchart illustrating a method for determining the wind noise performance of an automobile as disclosed in Embodiment 1 of this application;

[0048] Figure 10 This is a partial flowchart illustrating a method for determining the wind noise performance of an automobile as disclosed in Embodiment 1 of this application;

[0049] Figure 11 This is a schematic diagram of the structure of a vehicle wind noise performance determination device disclosed in Embodiment 2 of this application;

[0050] Figure 12 A schematic diagram of the structure of a controller disclosed in Embodiment 3 of this application. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] This application primarily discloses a method, apparatus, controller, and storage medium for determining automotive wind noise performance. The method involves obtaining modulation parameters of a benchmark vehicle under different turbulence parameters within a preset turbulence parameter range. A wind noise performance determination model is then generated based on these modulation parameters. Next, the modulation parameters of the vehicle to be evaluated under any turbulence parameter within the preset turbulence parameter range are obtained. Finally, the vehicle to be evaluated is determined based on the wind noise performance determination model according to the established criteria. It is understood that, for the vehicle type to be evaluated, detailed automotive wind noise performance tests are required on benchmark vehicles of that type to obtain modulation parameters of the benchmark vehicles covering as many turbulence parameters as possible within the preset turbulence parameter range, thus obtaining the wind noise performance determination model. Then, the modulation parameters of the vehicle to be evaluated under any turbulence parameter within the turbulence parameter range are obtained, and the determination result of the vehicle to be evaluated is obtained based on the wind noise determination model using the modulation parameters corresponding to this turbulence parameter. In this embodiment, the turbulence intensity parameter, a physical quantity with time-varying characteristics, is used to reflect the changes in airflow during vehicle operation, and the modulation index parameter is used to characterize the wind noise performance level of the vehicle during operation. The wind noise performance of the vehicle under evaluation is judged according to preset judgment conditions, enabling the assessment of vehicle wind noise performance from a transient perspective. Specific embodiments are described below.

[0053] It should be noted that the vehicle wind noise performance determination method disclosed in this application obtains the turbulence parameters and modulation parameters of the benchmark vehicle and the vehicle under test through vehicle wind noise performance testing. The wind noise test environment can be any of the following test environments: wind tunnel, urban road, and smooth road of the test track. No limitation is made here.

[0054] Furthermore, in this application embodiment, the vehicle type to be evaluated can be an A-class car, B-class car, C-class car, or SUV, etc. Therefore, for different types of vehicles to be evaluated, it is necessary to obtain the corresponding wind noise performance assessment model through different types of benchmark vehicles. In other words, for the same type of vehicle to be evaluated, it is necessary to obtain the wind noise performance assessment model through the same type of benchmark vehicle for assessment. This application does not limit the type of vehicle used for wind noise performance assessment.

[0055] Example 1

[0056] like Figure 1 As shown, Figure 1 This is a flowchart illustrating a method for determining automotive wind noise performance disclosed in Embodiment 1 of this application, which specifically includes the following steps:

[0057] S101: Obtain the wind noise performance assessment model.

[0058] The parameters are generated based on the modulation parameters corresponding to the benchmark vehicle under different turbulence parameters, and the different turbulence parameters are within the preset turbulence parameter range.

[0059] The preset turbulence parameter range is set according to the distribution range of turbulence in the actual road environment of the car. Except for encountering weather or climate changes such as heavy rain or snow, the turbulence distribution range of the actual road is mainly between 3% and 10%. Therefore, the preset turbulence parameter range in this embodiment can be 3% to 10%.

[0060] In specific implementation, the different turbulence parameters required to obtain the wind noise performance assessment model in this application embodiment should cover the turbulence parameter range as evenly as possible, and obtain the corresponding modulation parameters. Then, the wind noise performance assessment model is generated based on the corresponding modulation parameters under different turbulence parameters. For example, if the preset turbulence range is 3%-10%, then when obtaining the vehicle wind noise assessment model, the modulation parameters corresponding to turbulence parameters of 4%, 6%, 8%, and 10% should be obtained as much as possible, and the wind noise performance assessment model should be generated accordingly for subsequent steps in the vehicle wind noise performance assessment.

[0061] It should be noted that if the turbulence parameter measured during the wind noise performance test of a benchmark vehicle is less than 3% or greater than 10%, the data from this test will be treated as invalid data and will not be used to generate the wind noise performance judgment model.

[0062] S102: Obtain the modulation parameters corresponding to any turbulence parameter within the range of turbulence parameters for the vehicle to be evaluated.

[0063] In this specific implementation, a wind noise performance test is conducted on the vehicle under evaluation. Turbulence parameters and corresponding modulation parameters are obtained during the test. If the obtained turbulence parameters are within the turbulence parameter range, then the turbulence parameters and corresponding modulation parameters obtained in this test are valid data and can be used in subsequent steps of vehicle wind noise performance determination. If the obtained turbulence parameters are not within the turbulence parameter range, then the turbulence parameters and corresponding modulation parameters obtained in this test are invalid data, and another vehicle wind noise performance test needs to be conducted on the vehicle under evaluation.

[0064] S103: Based on the modulation parameters corresponding to any turbulence parameter within the turbulence parameter range and the wind noise performance judgment model, determine whether the vehicle under evaluation meets the judgment conditions.

[0065] In its specific implementation, this embodiment of the application can determine the wind noise performance of the vehicle under evaluation based on preset judgment conditions, the modulation parameter corresponding to any turbulence parameter within the turbulence parameter range, and the wind noise performance judgment model. If the vehicle under evaluation meets the judgment conditions, step S104 is executed, that is, the transient wind noise performance of the vehicle under evaluation is determined to be qualified, and the process ends; if the vehicle under evaluation does not meet the judgment conditions, the transient wind noise performance of the vehicle under evaluation is determined to be unqualified, and the process ends. Accordingly, it is possible to determine the wind noise performance of a vehicle from a transient perspective.

[0066] S104: The transient wind noise performance of the vehicle under evaluation is deemed acceptable.

[0067] For vehicles that are deemed to have acceptable transient wind noise performance, it indicates that their wind noise performance is good and they are suitable for production, manufacturing, or sales. For vehicles that are deemed to have unacceptable transient wind noise performance, it indicates that their wind noise performance is poor and further optimization is needed.

[0068] As can be seen, the vehicle wind noise performance assessment method disclosed in Embodiment 1 of this application, based on a preset turbulence parameter range, obtains the modulation parameters of a benchmark vehicle under different turbulence parameters to obtain a wind noise performance assessment model. Then, it obtains the modulation parameters of the vehicle under evaluation under any turbulence parameter within the turbulence parameter range, and finally assesses the transient wind noise performance of the vehicle under evaluation based on the wind noise performance assessment model and the modulation parameters of the vehicle under evaluation under any turbulence parameter within the turbulence parameter range. Thus, this embodiment uses the time-varying physical quantity of turbulence parameter to reflect the changes in airflow during vehicle operation, uses the modulation parameter to characterize the wind noise performance level of the vehicle during operation, and assesses the wind noise performance of the vehicle under evaluation according to preset assessment conditions. Therefore, it is possible to assess vehicle wind noise performance from a transient perspective.

[0069] Based on Figure 1 In its specific implementation, step 101 can be achieved by obtaining the wind noise performance assessment model through the following steps, such as... Figure 2 As shown:

[0070] S201: Construct a Cartesian coordinate system with turbulence intensity parameter as the abscissa and modulation parameter as the ordinate.

[0071] In this specific implementation, for the different turbulence intensity parameters and corresponding modulation parameters obtained, a Cartesian coordinate system is constructed to reflect the magnitude and change of the modulation degree of the benchmark vehicle under different turbulence intensity parameters, and this system is used as a standard to judge the wind noise performance of the vehicle under evaluation. The Cartesian coordinate system constructed with the turbulence intensity parameter as the abscissa and the modulation degree parameter as the ordinate is as follows: Figure 3 As shown, this is one representation of the Cartesian coordinate system in this embodiment.

[0072] S202: The modulation parameters corresponding to the benchmark vehicle under different turbulence parameters are written into the Cartesian coordinate system as different coordinate points to obtain the wind noise performance judgment model; the wind noise performance judgment model is a linear distribution zone in the Cartesian coordinate system.

[0073] In a specific implementation, this embodiment can control the test conditions of the test environment for automotive wind noise performance testing to obtain different turbulence parameters and corresponding modulation parameters for the benchmark vehicle during the test. For example, taking automotive wind noise performance testing in a wind tunnel environment as an example, the turbulence in the test environment can be controlled by setting a turbulence generator at the inlet of the wind tunnel or by setting an obstacle between the inlet and the vehicle under evaluation.

[0074] Based on the obtained different turbulence intensity parameters and their corresponding modulation parameters, a coordinate point is constructed by plotting the turbulence intensity parameter as the abscissa and the modulation parameter as the ordinate. Each different turbulence intensity parameter and its corresponding modulation parameter constitutes a different coordinate point. These different coordinate points are then written into a Cartesian coordinate system to obtain a linear distribution band of the turbulence intensity parameter and the modulation parameter. This linear distribution band is the wind noise performance assessment model. Figure 4 As shown, this is one representation of the wind noise performance assessment model in an embodiment of this application. The straight line in the figure represents the wind noise performance assessment model, and each coordinate point represents the turbulence intensity parameter (horizontal axis) and modulation index parameter (vertical axis) obtained from each wind noise performance test of the benchmark vehicle. In other words, the modulation index parameters corresponding to the benchmark vehicle under different turbulence intensity parameters are written into a Cartesian coordinate system in the form of different coordinate points, and the resulting linear distribution band of the turbulence intensity parameter and the modulation index parameter constitutes the wind noise performance assessment model. Based on this, the wind noise performance of the vehicle under evaluation can be assessed from a transient perspective.

[0075] In one implementation, the determination condition in this application embodiment is:

[0076] Write the modulation parameter corresponding to any turbulence parameter within the turbulence parameter range of the vehicle to be evaluated as a comparison coordinate point into a rectangular coordinate system. If the comparison coordinate point is below the linear distribution band, it is determined that the wind noise performance of the vehicle to be evaluated is qualified; if the comparison coordinate point is above the linear distribution band, it is determined that the wind noise performance of the vehicle to be evaluated is unqualified.

[0077] In a specific implementation, in this embodiment, at least one automotive wind noise performance test is performed on the vehicle to be evaluated to obtain the turbulence parameter and the corresponding modulation parameter of the vehicle to be evaluated in this test. If the turbulence parameter obtained by the vehicle to be evaluated in this test is within the preset turbulence parameter range, then the data obtained in this test is valid data, and the subsequent steps of automotive wind noise performance determination can be directly performed according to the turbulence parameter and the corresponding modulation parameter obtained in this test; if the turbulence parameter obtained by the vehicle to be evaluated in this test is not within the preset turbulence parameter range, then the data obtained in this test is invalid data, and it is necessary to perform an automotive wind noise performance test on the vehicle to be evaluated again after adjusting the test conditions of the test environment, so as to obtain the turbulence parameter within the turbulence parameter range and the corresponding modulation parameter, and accordingly, perform the subsequent steps of automotive wind noise performance determination.

[0078] Write the valid data obtained by the vehicle to be evaluated in the automotive wind noise performance test, that is, the turbulence parameter and the corresponding modulation parameter, as a comparison coordinate point into a rectangular coordinate system, and then compare it with the wind noise performance determination model. If the comparison coordinate point is below the linear distribution band in the coordinate system, it is determined that the wind noise performance of the vehicle to be evaluated is qualified; if the comparison coordinate point is above the linear distribution band, it is determined that the wind noise performance of the vehicle to be evaluated is unqualified. And so on. For the same type of vehicle, the same wind noise determination model can perform wind noise performance determination on one or more vehicles to be evaluated. Accordingly, it is possible to realize the determination of automotive wind noise performance from the transient dimension.

[0079] In the specific implementation based on Figure 1 In step S101, the modulation parameter corresponding to the benchmark vehicle at different turbulence parameters can be specifically obtained through the following steps, as Figure 5 shown:

[0080] S501: According to the turbulence parameter range, perform an automotive wind noise performance test on the benchmark vehicle respectively under different test conditions.

[0081] In this specific implementation, the different test conditions mainly refer to the different levels of turbulence in the test environment. Different test conditions can be created in different ways to test different environments, thereby conducting vehicle wind noise performance tests under these conditions. For example, taking wind tunnel testing of vehicle wind noise performance as an example, the turbulence in the test environment can be controlled by placing a turbulence generator at the wind tunnel inlet or by placing an obstacle between the inlet and the vehicle under test, thus achieving the purpose of controlling the turbulence in the test environment.

[0082] For example, taking the testing of vehicle wind noise performance on urban roads as an example, since the incoming flow parameters on urban roads are uncontrollable, a turbulence acquisition device can be set up in the test environment. When the turbulence intensity on the urban road reaches the required value, the vehicle wind noise performance test begins, thereby obtaining the actual turbulence intensity parameters and the corresponding modulation parameters for this test. This process can be repeated to obtain the modulation parameters corresponding to different turbulence intensities.

[0083] S502: During each vehicle wind noise performance test, the turbulence parameters and corresponding modulation parameters are obtained.

[0084] Among them, the turbulence parameters obtained under different test conditions must all be within the preset turbulence parameter range.

[0085] During each automotive wind noise performance test, it is necessary to determine whether the obtained turbulence intensity parameters and corresponding modulation parameters are valid data. Based on the obtained turbulence intensity parameters, it is determined whether they fall within the turbulence intensity parameter range. If they are within the range, then the turbulence intensity parameters and corresponding modulation parameters are considered valid data; otherwise, if they are outside the range, then the turbulence intensity parameters and corresponding modulation parameters are considered invalid data.

[0086] In one implementation, the benchmark vehicle used for automotive wind noise performance testing in this embodiment has an incoming flow parameter acquisition device installed on its hood, and a wind noise acquisition device installed on the outer or inner side of the headrest of the front seat of the benchmark vehicle. Accordingly, the benchmark vehicle's automotive wind noise performance testing can be specifically implemented through the following steps, such as... Figure 6 As shown:

[0087] S601: Within a preset test time, a preset number of incoming flow parameters are acquired through the incoming flow parameter acquisition device, and wind noise parameters are acquired through the wind noise acquisition device.

[0088] In this specific implementation, the incoming flow parameter acquisition device and the noise acquisition device are simultaneously activated and deactivated within a preset test time, ensuring that the acquired preset number of incoming flow parameters and wind noise parameters correspond in time. The incoming flow parameter acquisition device acquires the incoming flow parameters at a preset acquisition frequency within the preset test time, thereby obtaining the preset number of incoming flow parameters; the noise acquisition device acquires the wind noise parameters within the preset test time.

[0089] The benchmark vehicle features an airflow parameter acquisition device on its hood and wind noise acquisition devices on the outer or inner side of the headrests of the front seats. Figure 7 The diagram shows the installation of the incoming flow parameter acquisition device and the wind noise acquisition device on the benchmark vehicle. 'a' represents the incoming flow parameter acquisition device, and 'b' represents the wind noise acquisition device. Figure 8 The diagram shows the structure of the incoming flow parameter acquisition device, where a1 is a cobra probe, a2 is a five-hole probe, and a3 is an irregularly shaped mounting base. The wind noise acquisition device mainly consists of a microphone.

[0090] It should be noted that the test time in this embodiment can be selected from 10s to 30s. Such a short test time makes the difference between the preset number of turbulence parameters obtained smaller, which can further improve the rigor of the judgment on the transient wind noise performance of automobiles.

[0091] S602: Obtain turbulence parameters based on a preset number of incoming flow parameters.

[0092] In this specific implementation, the incoming flow parameters may include incoming flow velocity, pressure, etc. For each set of incoming flow parameters from a preset number of parameters, the corresponding turbulence intensity is calculated, thereby obtaining a preset number of turbulence intensities. The arithmetic square root of the preset number of turbulence intensities is then obtained to obtain the turbulence intensity parameter for this vehicle wind noise performance test. In other words, the arithmetic mean of the turbulence intensity obtained from each set of incoming flow parameters is the turbulence intensity parameter. This process is repeated to calculate the turbulence intensity parameter obtained by the benchmark vehicle in each vehicle wind noise performance test.

[0093] S603: Obtain the modulation parameters based on the wind noise parameters.

[0094] In this specific implementation, the wind noise parameters can be sound pressure levels, etc. Wind noise parameters are obtained within a preset test time, and then calculated to obtain modulation parameters. Similarly, the turbulence parameters obtained by the benchmark vehicle in each vehicle wind noise performance test are calculated.

[0095] Based on Figure 6 In its specific implementation, step S602 can be achieved through the following steps, such as...Figure 9 As shown:

[0096] S6021: Obtain a preset number of turbulence intensities based on a preset number of incoming flow parameters.

[0097] In this embodiment, each incoming flow parameter can be used to calculate a corresponding turbulence intensity, thereby obtaining a preset number of turbulence intensities. These turbulence intensities represent the turbulence intensity of the benchmark vehicle at different time points within a preset test period. Subsequent steps for determining vehicle wind noise are then performed based on the obtained preset number of turbulence intensities.

[0098] In this specific implementation, the incoming flow parameters are first obtained from the incoming flow acquisition device. The incoming flow velocity, the root mean square of the turbulent fluctuation velocity, and the average velocity of the turbulent fluctuation velocity are then calculated, and the turbulence intensity of the incoming airflow is calculated accordingly. The specific calculation process is shown below:

[0099] For example, the following is the specific process for calculating turbulence intensity based on incoming flow parameters:

[0100] 1. Formula for calculating the incoming flow velocity:

[0101]

[0102] Among them, P t The pressure value P is obtained by measuring the total pressure hole of the five-hole probe. s The pressure value is obtained by measuring the static pressure through the five-hole probe, where ρ is the fluid density.

[0103] 2. Turbulence intensity calculation formula:

[0104]

[0105] Where I is the turbulence intensity, u′ is the root mean square value of the turbulent fluctuation velocity, and U is the average velocity of the turbulent fluctuation velocity. The formulas for calculating u′ and U are as follows:

[0106]

[0107]

[0108] S6022: Obtain the turbulence parameter based on a preset number of turbulence indices; the turbulence parameter is the arithmetic mean of the preset number of turbulence indices.

[0109] For the preset number of turbulence intensities obtained, an average value is calculated, and the resulting arithmetic mean is the turbulence intensity parameter. Obtaining the average value makes the judgment result more rigorous.

[0110] Based on Figure 6 In its specific implementation, step S603 can be achieved through the following steps, such as... Figure 10As shown:

[0111] S6031: Generate wind noise modulation spectrum based on wind noise parameters.

[0112] In this specific implementation, wind noise parameters in the 2000Hz-6300Hz frequency band can be downsampled once; the imaginary part can be obtained through Hilbert transform; the envelope signal can be calculated using the real part of the original signal and the imaginary part obtained through Hilbert transform; the obtained data can be downsampled a second time; low-pass filtering can be performed, and a frequency greater than 5Hz can be selected as the upper limit frequency for modulation analysis, such as 10Hz, when performing low-pass filtering; a third downsampling can be performed, and the obtained data can be Fourier transformed to obtain the frequency domain spectrum; the obtained frequency domain spectrum can be superimposed in the frequency domain to obtain the wind noise modulation spectrum.

[0113] S6032: Obtain the modulation parameters based on the wind noise modulation spectrum.

[0114] In a specific implementation, this embodiment can obtain the average modulation index, i.e., the modulation index parameter, from the wind noise modulation index spectrum by means of time-domain averaging.

[0115] In summary, when conducting wind noise performance tests on benchmark vehicles, the above steps are repeated to obtain the turbulence parameters and corresponding modulation parameters of the benchmark vehicle for each wind noise performance test. This yields the modulation parameters of the benchmark vehicle under different turbulence parameters. Once a sufficient number of turbulence parameters and corresponding modulation parameters are obtained, a wind noise performance assessment model can be derived using the least squares method.

[0116] Example 2

[0117] like Figure 11 The diagram shown is a structural schematic of a vehicle wind noise performance determination device disclosed in Embodiment 2 of this application. Specifically, the vehicle wind noise performance determination model in this embodiment may include the following units:

[0118] The model acquisition unit 1101 is used to acquire the wind noise performance judgment model: it is generated based on the modulation parameters of the benchmark vehicle under different turbulence parameters, and the different turbulence parameters are within the preset turbulence parameter range;

[0119] The parameter acquisition unit 1102 is used to acquire the modulation parameters corresponding to any turbulence parameter within the range of turbulence parameters for the vehicle to be evaluated.

[0120] The wind noise determination unit 1103 is used to determine whether the vehicle under evaluation meets the determination conditions based on the modulation parameter corresponding to any turbulence parameter within the turbulence parameter range and the wind noise performance determination model. If the vehicle under evaluation meets the determination conditions, the transient wind noise performance of the vehicle under evaluation is determined to be qualified. If the vehicle under evaluation does not meet the determination conditions, the transient wind noise performance of the vehicle under evaluation is determined to be unqualified.

[0121] As can be seen, in the vehicle wind noise performance assessment device disclosed in Embodiment 2 of this application, based on a preset turbulence parameter range, a wind noise performance assessment model is obtained by acquiring the modulation parameters corresponding to a benchmark vehicle under different turbulence parameters. Then, by acquiring the modulation parameters corresponding to any turbulence parameter within the turbulence parameter range for the vehicle under evaluation, the transient wind noise performance of the vehicle under evaluation is assessed based on the wind noise performance assessment model and the modulation parameters corresponding to any turbulence parameter within the turbulence parameter range for the vehicle under evaluation. It is evident that this embodiment uses the time-varying physical quantity of turbulence parameter to reflect the changes in airflow during vehicle operation, and the modulation parameters to reflect the wind noise performance level of the vehicle during operation. By assessing the wind noise performance of the vehicle under evaluation according to preset assessment conditions, it is possible to assess vehicle wind noise performance from a transient perspective.

[0122] In one implementation, the model acquisition unit 1101 in this device can specifically acquire the wind noise determination model in the following way:

[0123] A Cartesian coordinate system is constructed with turbulence intensity parameter as the abscissa and modulation parameter as the ordinate;

[0124] The modulation parameters corresponding to the benchmark vehicle under different turbulence parameters are written into the Cartesian coordinate system as different coordinate points to obtain the wind noise performance judgment model; the wind noise performance judgment model is a linear distribution zone in the Cartesian coordinate system.

[0125] In one implementation, the determination condition is:

[0126] Write the modulation parameter corresponding to any turbulence parameter within the range of turbulence parameters of the vehicle to be evaluated into a Cartesian coordinate system as the comparison coordinate point, with the comparison coordinate point located below the linear distribution zone.

[0127] In one implementation, the model acquisition unit 1101 in this device can specifically acquire the modulation parameters of the benchmark vehicle under different turbulence parameters in the following way:

[0128] Based on the range of turbulence parameters, a vehicle wind noise performance test was conducted on the benchmark vehicle under different test conditions.

[0129] During each vehicle wind noise performance test, turbulence parameters and corresponding modulation parameters were obtained; the turbulence parameters obtained under different test conditions were all within the range of turbulence parameters.

[0130] In one implementation, the benchmark vehicle's hood is equipped with an incoming flow parameter acquisition device, and the front seats of the benchmark vehicle are equipped with a wind noise acquisition device on the outer or inner side of the headrest.

[0131] The model acquisition unit 1101 of this device performs vehicle wind noise performance testing in the following manner:

[0132] Within a preset test time, a preset number of incoming flow parameters are acquired through the incoming flow parameter acquisition device, and wind noise parameters are acquired through the noise acquisition device.

[0133] Turbulence parameters are obtained based on a preset number of incoming flow parameters;

[0134] The modulation parameters are obtained based on the wind noise parameters.

[0135] In one implementation, the turbulence intensity parameter is obtained based on a preset quantity of flow parameters, including:

[0136] A preset number of turbulence intensities are calculated based on a preset number of incoming flow parameters; turbulence intensities are obtained based on a preset number of turbulence intensities; the turbulence intensities parameter is the arithmetic mean of the preset number of turbulence intensities.

[0137] In one implementation, obtaining the modulation parameter based on the wind noise parameter includes:

[0138] A wind noise modulation index spectrum is generated based on the wind noise parameters; the modulation index parameters are obtained based on the wind noise modulation index spectrum.

[0139] It should be noted that the specific implementation of each unit in the device in this embodiment can be referred to the specific content above, and will not be described in detail here.

[0140] Example 3

[0141] Embodiment 3 of this application discloses a controller, the internal structure of which can be shown in the figure below. Figure 12 As shown, the controller includes a processor, memory, and a network interface connected via a system bus. The processor provides computational and control capabilities. The memory may include non-volatile storage media. The network interface of the processor is used to communicate with external devices or systems via a network connection. When the computer program is executed by the processor, it implements a method for determining automotive wind noise performance.

[0142] Example 4

[0143] Embodiment 4 of this application discloses a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor in an electronic device, enables the electronic device to perform the vehicle wind noise performance determination method disclosed in any embodiment of this application.

[0144] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments disclosed in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0145] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0146] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for determining the wind noise performance of a vehicle, characterized in that, The method includes: The wind noise performance assessment model is generated based on the modulation parameters corresponding to the benchmark vehicle under different turbulence parameters. The different turbulence parameters are within a preset range of turbulence parameters. The modulation parameters corresponding to the different turbulence parameters are obtained based on the wind noise parameters. The wind noise parameters are obtained by the noise acquisition device on the hood of the benchmark vehicle when the vehicle wind noise performance is tested under test conditions with different ranges of turbulence parameters. Obtain the modulation parameters corresponding to any turbulence parameter within the range of the turbulence parameters for the vehicle to be evaluated; Based on the modulation parameter corresponding to any turbulence parameter within the range of turbulence parameters and the wind noise performance judgment model, determine whether the vehicle under evaluation meets the judgment conditions. If the vehicle under evaluation meets the judgment criteria, then the transient wind noise performance of the vehicle under evaluation is deemed qualified.

2. The method as described in claim 1, characterized in that, The wind noise performance assessment model is obtained through the following methods: Construct a Cartesian coordinate system with the turbulence intensity parameter as the abscissa and the modulation index parameter as the ordinate; The modulation parameters corresponding to the benchmark vehicle under different turbulence parameters are written into the Cartesian coordinate system as different coordinate points to obtain the wind noise performance judgment model; the wind noise performance judgment model is a linear distribution band in the Cartesian coordinate system.

3. The method as described in claim 2, characterized in that, The determination criteria are as follows: The modulation parameter corresponding to any turbulence parameter within the range of the turbulence parameters of the vehicle to be evaluated is written into the Cartesian coordinate system as a comparison coordinate point, and the comparison coordinate point is located below the linear distribution zone.

4. The method as described in claim 1, characterized in that, The modulation parameters of the benchmark vehicle under different turbulence intensities were obtained in the following way: Based on the turbulence parameter range, a vehicle wind noise performance test was conducted on the benchmark vehicle under different test conditions. During each of the vehicle wind noise performance tests, turbulence parameters and corresponding modulation parameters were obtained; the turbulence parameters obtained under different test conditions were all within the range of the turbulence parameters.

5. The method as described in claim 4, characterized in that, The benchmark vehicle is equipped with a wind noise collection device on the outer or inner side of the headrest of the front seat. The vehicle wind noise performance test includes: Within a preset test time, a preset number of incoming flow parameters are acquired through the incoming flow parameter acquisition device; The turbulence parameter is obtained based on the preset number of incoming flow parameters.

6. The method as described in claim 5, characterized in that, The process of obtaining the turbulence intensity parameter based on the preset quantity of incoming flow parameters includes: A preset number of turbulence intensities are calculated based on the preset number of incoming flow parameters; The turbulence intensity parameter is obtained based on the preset number of turbulence intensities; the turbulence intensity parameter is the arithmetic mean of the preset number of turbulence intensities.

7. The method as described in claim 5, characterized in that, The step of obtaining the modulation parameter based on the wind noise parameter includes: A wind noise modulation spectrum is generated based on the wind noise parameters; The modulation parameters are obtained based on the wind noise modulation spectrum.

8. A device for determining the wind noise performance of an automobile, characterized in that, include The model acquisition unit is used to acquire the wind noise performance judgment model: it is generated based on the modulation parameters corresponding to the benchmark vehicle under different turbulence parameters. The different turbulence parameters are within a preset turbulence parameter range. The modulation parameters corresponding to the different turbulence parameters are obtained based on the wind noise parameters. The wind noise parameters are obtained by the noise acquisition device on the hood of the benchmark vehicle when the vehicle wind noise performance is tested under test conditions with different turbulence parameter ranges. The parameter acquisition unit is used to acquire the modulation parameters corresponding to any turbulence parameter within the range of the turbulence parameters for the vehicle to be evaluated. The wind noise determination unit is used to determine whether the vehicle under evaluation meets the determination conditions based on the modulation parameter corresponding to any turbulence parameter within the range of turbulence parameters and the wind noise performance determination model. If the vehicle under evaluation meets the judgment criteria, then the transient wind noise performance of the vehicle under evaluation is deemed qualified. If the vehicle under evaluation does not meet the judgment criteria, then the transient wind noise performance of the vehicle under evaluation is deemed unqualified.

9. A controller, characterized in that, include: Memory is used to store computer programs and the data generated by the execution of computer programs. A processor for executing the computer program to implement the various steps of the method as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 7.

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