Vehicle wind noise evaluation method and device

Abstract

The invention relates to the technical field of vehicles, in particular to a wind noise evaluation method and device for a vehicle, and the method comprises the steps: obtaining an in-vehicle noise signal of a target vehicle; calculating an amplitude fluctuation standard deviation of the in-vehicle noise signal in the target wind noise perception feature interval to confirm a wind noise fluctuation quantity of the in-vehicle noise signal; and calculating a wind noise amplitude value of the in-vehicle noise signal in the target wind noise perception feature interval, calculating a wind noise masking value of the in-vehicle noise signal according to the wind noise amplitude value, and obtaining a wind noise evaluation result of the target vehicle in combination with a preset weight parameter set. According to the embodiment of the invention, the wind noise fluctuation quantity, the wind noise amplitude quantity and the wind noise masking quantity of the noise signal in the vehicle can be obtained according to the wind noise sensing frequency band, the evaluation result is obtained by combining the corresponding weight coupling, the comprehensive evaluation of the vehicle wind noise is realized from the perspective of actual driving experience by comprehensively considering the frequency band amplitude characteristic, the fluctuation characteristic and the masking effect, and the evaluation efficiency is improved. And the applicability is higher.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method and device for evaluating wind noise of a vehicle. Background Art

[0002] Automobile wind noise is the noise generated by the interaction between air and the car body when the car is driving. It affects the riding comfort of passengers. Evaluating the vehicle's wind noise performance can provide important reference data for vehicle research and development and related technological advances.

[0003] In the relevant technology, acoustic indicators such as sound pressure level, loudness, and speech clarity can be combined and weighted to represent the objective quality of the vehicle's wind noise performance, and the vehicle noise performance evaluation can be determined by combining the objective evaluation value and the subjective evaluation value.

[0004] However, in the related art, the combined weighted values ​​based on the existing acoustic indicators are limited to ideal working conditions with stable incoming flow and prominent wind noise. It does not take into account the impact of wind noise fluctuations caused by non-steady-state incoming flow during actual use by users, as well as the masking effect of other noises such as road noise on wind noise. As a result, the evaluation results of vehicle noise performance have a narrow scope of application and insufficient reference value. They cannot reflect the wind noise conditions in actual driving, have poor practicality, and need to be urgently resolved. Summary of the invention

[0005] The present application provides a vehicle wind noise evaluation method and device to solve the problems in the related art that the combined weighted values ​​based on the existing acoustic indicators are limited to ideal working conditions with stable incoming flow and prominent wind noise, and the influence of wind noise fluctuation caused by non-steady-state incoming flow during actual use by users, as well as the masking effect of other noises such as road noise on wind noise, result in the evaluation results of vehicle noise performance having a narrow scope of application, insufficient reference value, unable to reflect the wind noise situation in actual driving, and poor practicality.

[0006] A first aspect of the present application provides a vehicle wind noise evaluation method, comprising the following steps: acquiring an interior noise signal of a target vehicle; calculating an amplitude fluctuation standard deviation of the interior noise signal in a target wind noise perception characteristic interval to confirm the wind noise fluctuation magnitude of the interior noise signal; calculating the wind noise amplitude magnitude of the interior noise signal in the target wind noise perception characteristic interval, and calculating a wind noise masking magnitude of the interior noise signal based on the wind noise amplitude magnitude, so as to obtain a wind noise evaluation result of the target vehicle by using the wind noise fluctuation magnitude, the wind noise amplitude magnitude, the wind noise masking magnitude and a preset weight parameter set.

[0007] Optionally, in one embodiment of the present application, calculating the amplitude fluctuation standard deviation of the in-vehicle noise signal in a target wind noise perception characteristic interval includes: filtering the in-vehicle noise signal based on the target wind noise perception characteristic interval to obtain a filtered in-vehicle noise signal; generating a sound pressure amplitude-time curve according to the filtered in-vehicle noise signal, and calculating the amplitude fluctuation standard deviation using the sound pressure amplitude-time curve.

[0008] Optionally, in one embodiment of the present application, calculating the wind noise amplitude of the in-vehicle noise signal in the target wind noise perception characteristic interval includes: calculating the A-weighted average spectrum of the in-vehicle noise signal; calculating the total wind noise perception value of the target wind noise perception characteristic interval based on the A-weighted average spectrum, and using the total wind noise perception value to confirm the wind noise amplitude.

[0009] Optionally, in one embodiment of the present application, the use of the total wind noise perception value to confirm the wind noise amplitude includes: determining whether the total wind noise perception value is greater than or equal to the maximum total value of a preset wind noise interval; if the total wind noise perception value is greater than or equal to the maximum total value of the preset wind noise interval, determining that the wind noise amplitude is zero; otherwise, confirming the wind noise amplitude based on the regularized value of the total wind noise perception value.

[0010] Optionally, in one embodiment of the present application, calculating the wind noise masking amount of the in-vehicle noise signal based on the wind noise amplitude includes: calculating, based on the A-weighted average spectrum, the total value of the mid- and low-frequency bands of the in-vehicle noise signal between a preset frequency threshold and an initial value of the target wind noise perception feature interval; and confirming the wind noise masking amount using the total value of the mid- and low-frequency bands and the wind noise amplitude.

[0011] Optionally, in one embodiment of the present application, the use of the total value of the mid- and low-frequency bands and the wind noise amplitude to confirm the wind noise masking amount includes: calculating the masking interval difference based on the total value of the mid- and low-frequency bands and the wind noise amplitude, and judging whether the masking interval difference is less than or equal to a preset minimum masking interval difference; if the masking interval difference is less than or equal to the preset minimum masking interval difference, determining that the wind noise masking amount is zero, otherwise, confirming the wind noise masking amount based on the regularized value of the masking interval difference.

[0012] Optionally, in one embodiment of the present application, confirming the wind noise fluctuation amount of the in-vehicle noise signal includes: determining whether the amplitude fluctuation standard deviation is greater than or equal to a preset maximum amplitude fluctuation standard deviation; if the amplitude fluctuation standard deviation is greater than or equal to the preset maximum amplitude fluctuation standard deviation, then determining that the wind noise fluctuation amount is zero, otherwise, confirming the wind noise fluctuation amount based on the regularized value of the amplitude fluctuation standard deviation.

[0013] A second aspect of the present application provides a vehicle wind noise evaluation device, comprising: an acquisition module, used to acquire an interior noise signal of a target vehicle; a calculation module, used to calculate the amplitude fluctuation standard deviation of the interior noise signal in a target wind noise perception characteristic interval, so as to confirm the wind noise fluctuation magnitude of the interior noise signal; an evaluation module, used to calculate the wind noise amplitude magnitude of the interior noise signal in the target wind noise perception characteristic interval, and calculate the wind noise masking magnitude of the interior noise signal based on the wind noise amplitude magnitude, so as to obtain a wind noise evaluation result of the target vehicle by using the wind noise fluctuation magnitude, the wind noise amplitude magnitude, the wind noise masking magnitude and a preset weight parameter set.

[0014] Optionally, in one embodiment of the present application, the calculation module includes: a filtering unit, used to filter the in-vehicle noise signal based on the target wind noise perception feature interval to obtain a filtered in-vehicle noise signal; a generating unit, used to generate a sound pressure amplitude-time curve according to the filtered in-vehicle noise signal, and calculate the amplitude fluctuation standard deviation using the sound pressure amplitude-time curve.

[0015] Optionally, in one embodiment of the present application, the evaluation module includes: a first calculation unit, used to calculate the A-weighted average spectrum of the in-vehicle noise signal; a first confirmation unit, used to calculate the total wind noise perception value of the target wind noise perception characteristic interval based on the A-weighted average spectrum, and use the total wind noise perception value to confirm the wind noise amplitude.

[0016] Optionally, in one embodiment of the present application, the first confirmation unit is specifically used to: determine whether the total wind noise perception value is greater than or equal to the maximum total value of a preset wind noise interval; if the total wind noise perception value is greater than or equal to the maximum total value of the preset wind noise interval, then determine that the wind noise amplitude is zero; otherwise, confirm the wind noise amplitude based on the regularized value of the total wind noise perception value.

[0017] Optionally, in one embodiment of the present application, the evaluation module includes: a second calculation unit, used to calculate the total value of the mid- and low-frequency bands of the in-vehicle noise signal between a preset frequency threshold and an initial value of the target wind noise perception characteristic interval based on the A-weighted average spectrum; and a second confirmation unit, used to confirm the wind noise masking amount using the total value of the mid- and low-frequency bands and the wind noise amplitude.

[0018] Optionally, in one embodiment of the present application, the second confirmation unit is specifically used to: calculate the masking interval difference based on the total value of the mid- and low-frequency bands and the wind noise amplitude, and determine whether the masking interval difference is less than or equal to a preset minimum masking interval difference; if the masking interval difference is less than or equal to the preset minimum masking interval difference, determine that the wind noise masking amount is zero, otherwise, confirm the wind noise masking amount based on the regularized value of the masking interval difference.

[0019] Optionally, in one embodiment of the present application, the calculation module includes: a judgment unit, used to judge whether the amplitude fluctuation standard deviation is greater than or equal to a preset maximum amplitude fluctuation standard deviation; a judgment unit, used to judge that the wind noise fluctuation amount is zero when the amplitude fluctuation standard deviation is greater than or equal to the preset maximum amplitude fluctuation standard deviation, otherwise, confirm the wind noise fluctuation amount based on the regularized value of the amplitude fluctuation standard deviation.

[0020] A third aspect of the present application provides a vehicle, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle wind noise evaluation method as described in the above embodiment.

[0021] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above vehicle wind noise evaluation method.

[0022] A fifth aspect of the present application provides a computer program, which, when executed, implements the above vehicle wind noise evaluation method.

[0023] The embodiment of the present application can obtain the wind noise fluctuation amount, wind noise amplitude amount and wind noise masking amount of the in-vehicle noise signal according to the wind noise perception frequency band, and obtain the evaluation result by combining the corresponding weight coupling. By comprehensively considering the frequency band amplitude characteristics, fluctuation characteristics, and masking effect, a comprehensive evaluation of the vehicle wind noise is achieved from the perspective of actual driving experience, and the applicability is stronger. Thus, the problem that the combined weighted values ​​​​based on the existing acoustic indicators in the related technology are limited to the ideal working conditions where the incoming flow is stable and the wind noise is prominent, and the influence of wind noise fluctuations caused by non-steady-state incoming flow during actual use by users, as well as the masking effect of other noises such as road noise on wind noise, is not considered, resulting in a narrow scope of application of the evaluation results of vehicle noise performance, insufficient reference value, and unable to reflect the wind noise situation in actual driving, and poor practicality. The additional aspects and advantages of this application will be partially given in the following description, and some will become obvious from the following description, or be understood through the practice of this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0025] Figure 1 A flow chart of a vehicle wind noise evaluation method provided according to an embodiment of the present application;

[0026] Figure 2 A logical diagram of wind noise score calculation for a vehicle according to an embodiment of the present application;

[0027] Figure 3 Schematic diagram of the structure of a wind noise evaluation device for a vehicle according to an embodiment of the present application;

[0028] Figure 4 It is a schematic diagram of the structure of a vehicle according to an embodiment of the present application. DETAILED DESCRIPTION

[0029] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0030] The following describes the vehicle wind noise evaluation method and device of the embodiment of the present application with reference to the accompanying drawings. In view of the related technologies mentioned in the above background technology, the combined weighted values ​​based on the existing acoustic indicators are limited to the ideal working conditions where the incoming flow is stable and the wind noise is prominent, and the influence of wind noise fluctuation caused by the non-steady-state incoming flow during the actual use of the user, as well as the masking effect of other noises such as road noise on wind noise, are not considered, resulting in a narrow scope of application of the evaluation results of vehicle noise performance, insufficient reference value, and inability to reflect the wind noise situation in actual driving, and the problem of poor practicality. The present application provides a vehicle wind noise evaluation method, in which the wind noise fluctuation amount, wind noise amplitude amount and wind noise masking amount of the in-vehicle noise signal can be obtained according to the wind noise perception frequency band, and the evaluation result is obtained by combining the corresponding weight coupling. By comprehensively considering the frequency band amplitude characteristics, fluctuation characteristics, and masking effects, a comprehensive evaluation of vehicle wind noise is achieved from the perspective of actual driving experience, and the applicability is stronger. Thereby, the problem in the related technology that the combined weighted values ​​based on the existing acoustic indicators are limited to ideal working conditions with stable incoming flow and prominent wind noise is solved, and the influence of wind noise fluctuations caused by non-steady-state incoming flow during actual use by users, as well as the masking effect of other noises such as road noise on wind noise are not taken into account. As a result, the evaluation results of vehicle noise performance have a narrow scope of application, insufficient reference value, cannot reflect the wind noise conditions in actual driving, and have poor practicality, etc.

[0031] Specifically, Figure 1A schematic flow chart of a method for evaluating wind noise of a vehicle provided in an embodiment of the present application.

[0032] like Figure 1 As shown, the vehicle wind noise evaluation method includes the following steps:

[0033] In step S101 , an interior noise signal of a target vehicle is acquired.

[0034] It is understandable that in the embodiments of the present application, the interior noise of the target vehicle to be evaluated can be collected when the vehicle is in high-speed driving (or any incoming flow in the wind tunnel) to obtain the interior noise signal of the target vehicle, and the noise measurement point is the conventional external ear measurement point in the wind noise test. For example, the wind noise time domain data of the target vehicle at a certain time can be obtained, and the data can be collected under the condition of a test speed of 120km / h or 140km / h, and the measurement point is selected according to the prescribed standard. The human ear measurement point close to the side window glass.

[0035] In step S102 , the amplitude fluctuation standard deviation of the interior noise signal in the target wind noise perception characteristic interval is calculated to confirm the wind noise fluctuation amount of the interior noise signal.

[0036] It is understandable that in the embodiment of the present application, the target wind noise perception characteristic interval can be the characteristic frequency interval of wind noise transmitted by glass, because in the actual driving experience in the car, the wind noise from the glass surface is the most direct feeling of the driver and passengers to the wind noise, and this part of the wind noise energy has obvious frequency band characteristics due to the transmission properties of the glass, that is, the transmission is the highest in the 2kHz-6kHz frequency band, and the amplitude of this frequency band affects the wind noise impression of the occupants. By calculating the amplitude fluctuation standard deviation of the in-car noise signal in the target wind noise perception characteristic interval, the amplitude fluctuation standard deviation of the specific wind noise perception frequency band is obtained as the judgment basis for measuring the wind noise fluctuation, so as to confirm the wind noise fluctuation amount of the in-car noise signal for the wind noise evaluation in the following steps.

[0037] Optionally, in one embodiment of the present application, calculating the amplitude fluctuation standard deviation of the in-vehicle noise signal in the target wind noise perception characteristic interval includes: filtering the in-vehicle noise signal based on the target wind noise perception characteristic interval to obtain a filtered in-vehicle noise signal; generating a sound pressure amplitude-time curve according to the filtered in-vehicle noise signal, and calculating the amplitude fluctuation standard deviation using the sound pressure amplitude-time curve.

[0038] In the actual implementation process, the original time domain signal D(t) corresponding to the interior noise signal is filtered, and a bandpass filter can be selected, for example, a filter type butterworth can be selected. The target wind noise perception feature interval is defined as f w , the starting point of the interval is f w1 , the cut-off frequency is f w2 , f wis the characteristic interval of wind noise transmitted by the glass, and the filtered interior noise signal is recorded as D(t) fw , for D(t) fw Perform FFT (Fast Fourier Transformation). For example, you can intercept the original time domain signal for 10 seconds to perform FFT calculation and obtain the sound pressure amplitude (dB) versus time curve OA fw , that is, the sound pressure amplitude-time curve. Finally, for OA fw For example, when performing discrete sampling, the sample size can be set to 50, and after sampling, the data sample is obtained, and the sample standard deviation S is calculated.

[0039] Optionally, in one embodiment of the present application, confirming the wind noise fluctuation amount of the in-vehicle noise signal includes: determining whether the amplitude fluctuation standard deviation is greater than or equal to a preset maximum value of the amplitude fluctuation standard deviation; if the amplitude fluctuation standard deviation is greater than or equal to a preset maximum value of the amplitude fluctuation standard deviation, then determining that the wind noise fluctuation amount is zero, otherwise, confirming the wind noise fluctuation amount based on the regularized value of the amplitude fluctuation standard deviation.

[0040] It should be noted that the preset maximum value of the amplitude fluctuation standard deviation can be set by those skilled in the art according to actual conditions and is not specifically limited here.

[0041] In the actual implementation process, the amplitude fluctuation standard deviation S can be regularized to obtain P S As the wind noise fluctuation quantity, the calculation formula for taking the regularized value of S is as follows:

[0042]

[0043] In the formula, S max , S min is the maximum and minimum values ​​of the amplitude fluctuation standard deviation obtained after a large number of statistical calibrations. When S ≥ S max When P S =0.

[0044] In step S103, the wind noise amplitude of the interior noise signal in the target wind noise perception characteristic interval is calculated, and the wind noise masking amount of the interior noise signal is calculated according to the wind noise amplitude, so as to obtain the wind noise evaluation result of the target vehicle by using the wind noise fluctuation amount, the wind noise amplitude amount, the wind noise masking amount and the preset weight parameter set.

[0045] It should be noted that the preset weight parameter set can be set by those skilled in the art according to actual conditions and is not specifically limited here.

[0046] It can be understood that, in the embodiments of the present application, the preset weight parameter set may include weighting factors for wind noise fluctuation momentum, wind noise amplitude and wind noise masking amount. By matching the wind noise fluctuation momentum, wind noise amplitude and wind noise masking amount with the corresponding weighting factors in the preset weight parameter set as weight coefficients, the coupling calculation of the three is achieved to obtain the vehicle wind noise evaluation score as the wind noise evaluation result of the target vehicle, which is more in line with the subjective expectation of wind noise, and does not add additional test hardware or test time. The evaluation of wind noise is triggered from the perspective of actual driving experience, making wind noise development more accurate, avoiding excessive or insufficient design, and reducing the waste of design resources.

[0047] Optionally, in one embodiment of the present application, calculating the wind noise amplitude of the in-vehicle noise signal in a target wind noise perception characteristic interval includes: calculating an A-weighted average spectrum of the in-vehicle noise signal; calculating a total wind noise perception value in the target wind noise perception characteristic interval based on the A-weighted average spectrum, and confirming the wind noise amplitude using the total wind noise perception value.

[0048] In the actual implementation process, the original time domain signal D(t) corresponding to the in-car noise signal can be averaged by FFT to obtain the A-weighted average spectrum F(f), where A-weighting is a correction for sound measurement that can reflect how the human ear perceives noise. The frequency resolution of the calculation can be taken as 2Hz. Then, for F(f), the interval f is calculated w Total value of SPL w , that is, the total wind noise perception value in the target wind noise perception characteristic interval. For example, the frequency slicing method can be used for calculation to obtain the average amplitude of the wind noise perception frequency band as the basis for judging the absolute size of the wind noise, so as to finally confirm the wind noise amplitude.

[0049] Optionally, in one embodiment of the present application, the wind noise amplitude is confirmed using the total wind noise perception value, including: determining whether the total wind noise perception value is greater than or equal to the maximum total value of a preset wind noise interval; if the total wind noise perception value is greater than or equal to the maximum total value of a preset wind noise interval, determining that the wind noise amplitude is zero, otherwise, confirming the wind noise amplitude based on the regularized value of the total wind noise perception value.

[0050] It should be noted that the maximum value of the total value of the preset wind noise interval can be set by those skilled in the art according to actual conditions and is not specifically limited here.

[0051] In actual implementation, the total wind noise perception value SPL can be w Take the regularized value to get P w As the wind noise amplitude, P w The calculation formula for taking the regularized value is as follows:

[0052]

[0053] Where SPLwup 、SPL wdown The maximum and minimum values ​​of the total wind noise range are calibrated after a large number of statistics. w ≥SPL wup , P w =0.

[0054] Optionally, in one embodiment of the present application, the wind noise masking amount of the in-vehicle noise signal is calculated according to the wind noise amplitude, including: calculating the total value of the mid- and low-frequency bands of the in-vehicle noise signal between a preset frequency threshold and an initial value of a target wind noise perception characteristic interval based on an A-weighted average spectrum; and confirming the wind noise masking amount using the total value of the mid- and low-frequency bands and the wind noise amplitude.

[0055] It should be noted that the preset frequency threshold can be set by those skilled in the art according to actual conditions and is not specifically limited here.

[0056] In actual implementation, the preset frequency threshold may be the starting value of the pre-set low-mid frequency interval, and the initial value of the target wind noise perception characteristic interval may be used as the cutoff value of the low-mid frequency interval. For example, the initial value f of the target wind noise perception characteristic interval from 20 Hz to 10 Hz may be calculated. w1 The total SPL of the corresponding mid- and low-frequency range me , and use the total value of the mid- and low-frequency bands and the wind noise amplitude to confirm the wind noise masking amount.

[0057] Optionally, in one embodiment of the present application, the wind noise masking amount is confirmed using the total value of the mid- and low-frequency bands and the wind noise amplitude, including: calculating the masking interval difference based on the total value of the mid- and low-frequency bands and the wind noise amplitude, and determining whether the masking interval difference is less than or equal to a preset minimum masking interval difference; if the masking interval difference is less than or equal to the preset minimum masking interval difference, the wind noise masking amount is determined to be zero, otherwise, the wind noise masking amount is confirmed based on the regularized value of the masking interval difference.

[0058] It should be noted that the preset minimum value of the masking interval difference can be set by those skilled in the art according to actual conditions and is not specifically limited here.

[0059] In the actual implementation process, the total value SPL of the mid- and low-frequency band can be calculated me Wind noise amplitude SPL w The numerical difference is recorded as the masking interval difference Masking interval difference Get the regular value As the wind noise masking amount, The calculation formula for taking the regularized value is as follows:

[0060]

[0061] In the formula, is the maximum and minimum value of the masking interval difference calibrated after a large number of statistics. Among them, since there are road noise and low-frequency cavity modal noise in actual road driving, these low-frequency components will mask the wind noise to a certain extent. Therefore, the difference in sound pressure level values ​​between the medium and low frequencies and the wind noise perception frequency band can be used as the basis for judging the wind noise masking effect, so as to further obtain the wind noise evaluation results.

[0062] The working content of the embodiment of the present application is described in detail below with a specific embodiment. Figure 2 , which is a logical diagram of wind noise score calculation for a vehicle according to an embodiment of the present application.

[0063] Among them, the original time domain signal D(t) can be obtained by collecting the noise inside the vehicle when it is driving at high speed (or any incoming flow in the wind tunnel), and D(t) is filtered. The filtering interval is defined as f w , the starting point of this interval is f w1 , the cut-off frequency is f w2 , f w is the characteristic interval of wind noise transmitted by glass, and the signal D(t) is obtained after filtering fw , for D(t) fw Perform FFT (Fast Fourier Transformation) to obtain the curve of sound pressure amplitude (dB) changing with time OA fw , for OA fw Perform discrete sampling to obtain data samples and calculate the sample standard deviation S.

[0064] On the other hand, the original time domain signal D(t) is averaged by FFT to obtain the A-weighted average spectrum F(f). The interval f is calculated for F(f). w Total value of SPL w , calculate 20Hz to f w1 Total interval value SPL me , SPL me With SPL w The numerical difference is recorded as

[0065] Finally, S and SPL are w , Take the normalized value as P S , P w , And assign a weighting factor Q to the regularized value S , Q w , The sum is the evaluation score P, and the formula for calculating the final total value is:

[0066] According to the vehicle wind noise evaluation method proposed in the embodiment of the present application, the wind noise fluctuation amount, wind noise amplitude amount and wind noise masking amount of the in-vehicle noise signal can be obtained according to the wind noise perception frequency band, and the evaluation result can be obtained by combining the corresponding weight coupling. By comprehensively considering the frequency band amplitude characteristics, fluctuation characteristics, and masking effects, a comprehensive evaluation of vehicle wind noise is achieved from the perspective of actual driving experience, and the applicability is stronger. Thus, the problem in the related art that the combined weighted values ​​based on the existing acoustic indicators are limited to ideal working conditions with stable incoming flow and prominent wind noise, and the influence of wind noise fluctuation caused by non-steady-state incoming flow during actual use by users, as well as the masking effect of other noises such as road noise on wind noise, are not taken into account, resulting in a narrow scope of application of the evaluation results of vehicle noise performance, insufficient reference value, inability to reflect the wind noise situation in actual driving, and poor practicality.

[0067] Next, a vehicle wind noise evaluation device according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0068] Figure 3 It is a schematic diagram of the structure of a wind noise evaluation device for a vehicle according to an embodiment of the present application.

[0069] like Figure 3 As shown, the vehicle wind noise evaluation device 10 includes: an acquisition module 100 , a calculation module 200 and an evaluation module 300 .

[0070] The acquisition module 100 is used to acquire the interior noise signal of the target vehicle.

[0071] The calculation module 200 is used to calculate the amplitude fluctuation standard deviation of the vehicle interior noise signal in the target wind noise perception characteristic interval to determine the wind noise fluctuation amount of the vehicle interior noise signal.

[0072] The evaluation module 300 is used to calculate the wind noise amplitude of the vehicle interior noise signal in the target wind noise perception characteristic interval, and calculate the wind noise masking amount of the vehicle interior noise signal according to the wind noise amplitude, so as to obtain the wind noise evaluation result of the target vehicle by using the wind noise fluctuation amount, the wind noise amplitude, the wind noise masking amount and the preset weight parameter set.

[0073] Optionally, in one embodiment of the present application, the calculation module 200 includes: a filtering unit and a generating unit.

[0074] Among them, the filtering unit is used to filter the in-vehicle noise signal based on the target wind noise perception feature interval to obtain a filtered in-vehicle noise signal.

[0075] The generating unit is used to generate a sound pressure amplitude-time curve according to the filtered in-vehicle noise signal, and calculate the amplitude fluctuation standard deviation using the sound pressure amplitude-time curve.

[0076] Optionally, in one embodiment of the present application, the evaluation module 300 includes: a first calculation unit and a first confirmation unit. The first calculation unit is used to calculate the A-weighted average spectrum of the in-vehicle noise signal.

[0077] The first confirmation unit is used to calculate the total wind noise perception value of the target wind noise perception feature interval according to the A-weighted average spectrum, and confirm the wind noise amplitude value using the total wind noise perception value.

[0078] Optionally, in one embodiment of the present application, the first confirmation unit is specifically used to: determine whether the total wind noise perception value is greater than or equal to the maximum total value of a preset wind noise interval; if the total wind noise perception value is greater than or equal to the maximum total value of a preset wind noise interval, the wind noise amplitude is determined to be zero; otherwise, the wind noise amplitude is confirmed based on the regularized value of the total wind noise perception value.

[0079] Optionally, in one embodiment of the present application, the evaluation module 300 includes: a second calculation unit and a second confirmation unit.

[0080] Among them, the second calculation unit is used to calculate the total value of the low and medium frequency bands of the vehicle interior noise signal between the preset frequency threshold and the initial value of the target wind noise perception characteristic interval based on the A-weighted average spectrum.

[0081] The second confirmation unit is used to confirm the wind noise masking amount by using the total value of the middle and low frequency bands and the wind noise amplitude.

[0082] Optionally, in one embodiment of the present application, the second confirmation unit is specifically used to: calculate the masking interval difference based on the total value of the mid- and low-frequency bands and the wind noise amplitude, and determine whether the masking interval difference is less than or equal to a preset minimum masking interval difference; if the masking interval difference is less than or equal to the preset minimum masking interval difference, the wind noise masking amount is determined to be zero, otherwise, the wind noise masking amount is confirmed based on the regularized value of the masking interval difference.

[0083] Optionally, in one embodiment of the present application, the calculation module 200 includes: a judgment unit and a determination unit.

[0084] Wherein, the judging unit is used to judge whether the amplitude fluctuation standard deviation is greater than or equal to the preset amplitude fluctuation standard deviation maximum value.

[0085] The determination unit is used to determine that the wind noise fluctuation amount is zero when the amplitude fluctuation standard deviation is greater than or equal to a preset amplitude fluctuation standard deviation maximum value; otherwise, the wind noise fluctuation amount is confirmed based on the regularized value of the amplitude fluctuation standard deviation.

[0086] It should be noted that the above explanation of the embodiment of the vehicle wind noise evaluation method is also applicable to the vehicle wind noise evaluation device of this embodiment, which will not be repeated here.

[0087] According to the vehicle wind noise evaluation device proposed in the embodiment of the present application, the wind noise fluctuation amount, wind noise amplitude amount and wind noise masking amount of the in-vehicle noise signal can be obtained according to the wind noise perception frequency band, and the evaluation result can be obtained by combining the corresponding weight coupling. By comprehensively considering the frequency band amplitude characteristics, fluctuation characteristics, and masking effects, a comprehensive evaluation of the vehicle wind noise is achieved from the perspective of actual driving experience, and the applicability is stronger. Thus, the problem in the related art that the combined weighted values ​​based on the existing acoustic indicators are limited to ideal working conditions with stable incoming flow and prominent wind noise, and the influence of wind noise fluctuation caused by non-steady-state incoming flow during actual use by users, as well as the masking effect of other noises such as road noise on wind noise, are not taken into account, resulting in a narrow scope of application of the evaluation results of vehicle noise performance, insufficient reference value, inability to reflect the wind noise situation in actual driving, and poor practicality.

[0088] Figure 4 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application. The vehicle may include:

[0089] Memory 401 , processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0090] When the processor 402 executes the program, the vehicle wind noise evaluation method provided in the above embodiment is implemented.

[0091] Furthermore, the vehicle also includes:

[0092] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0093] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0094] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0095] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0096] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0097] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0098] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above vehicle wind noise evaluation method is implemented.

[0099] This embodiment also provides a computer program, which implements the above vehicle wind noise evaluation method when executed.

[0100] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0101] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0102] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0103] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0104] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0105] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0106] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0107] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for evaluating wind noise of a vehicle, characterized in that: The following steps are involved: Acquire the interior noise signal of the target vehicle; Calculating the amplitude fluctuation standard deviation of the vehicle interior noise signal in a target wind noise perception characteristic interval to determine the wind noise fluctuation amount of the vehicle interior noise signal; The wind noise amplitude of the vehicle interior noise signal in the target wind noise perception characteristic interval is calculated, and the wind noise masking amount of the vehicle interior noise signal is calculated according to the wind noise amplitude, so as to obtain the wind noise evaluation result of the target vehicle by using the wind noise fluctuation amount, the wind noise amplitude, the wind noise masking amount and a preset weight parameter set.

2. The method according to claim 1, characterized in that The calculating the amplitude fluctuation standard deviation of the vehicle interior noise signal in the target wind noise perception characteristic interval includes: Filtering the in-vehicle noise signal based on the target wind noise perception characteristic interval to obtain a filtered in-vehicle noise signal; A sound pressure amplitude-time curve is generated according to the filtered in-vehicle noise signal, and the amplitude fluctuation standard deviation is calculated using the sound pressure amplitude-time curve.

3. The method according to claim 1, characterized in that The calculating the wind noise amplitude of the vehicle interior noise signal in the target wind noise perception characteristic interval includes: Calculating an A-weighted average spectrum of the interior noise signal; The wind noise perception total value of the target wind noise perception characteristic interval is calculated according to the A-weighted average spectrum, and the wind noise amplitude value is confirmed by using the wind noise perception total value.

4. The method according to claim 3, characterized in that The determining the wind noise amplitude value by using the wind noise perception total value includes: Determining whether the wind noise perception total value is greater than or equal to a preset wind noise interval total value maximum value; If the total wind noise perception value is greater than or equal to the maximum total value of the preset wind noise interval, the wind noise amplitude is determined to be zero; otherwise, the wind noise amplitude is confirmed based on the regularized value of the total wind noise perception value.

5. The method according to claim 3, characterized in that: The calculating the wind noise masking amount of the vehicle interior noise signal according to the wind noise amplitude amount includes: Based on the A-weighted average spectrum, calculating the total value of the vehicle interior noise signal in the middle and low frequency bands between a preset frequency threshold and an initial value of the target wind noise perception characteristic interval; The wind noise masking amount is determined using the total value of the mid- and low-frequency bands and the wind noise amplitude amount.

6. The method according to claim 5, characterized in that The determining the wind noise masking amount by using the total value of the mid- and low-frequency bands and the wind noise amplitude includes: Calculating a masking interval difference based on the total value of the mid- and low-frequency bands and the wind noise amplitude, and determining whether the masking interval difference is less than or equal to a preset masking interval difference minimum value; If the masking interval difference is less than or equal to the preset minimum masking interval difference, the wind noise masking amount is determined to be zero; otherwise, the wind noise masking amount is confirmed based on the regularized value of the masking interval difference.

7. The method according to claim 1, characterized in that The determining of the wind noise fluctuation amount of the vehicle interior noise signal includes: Determine whether the amplitude fluctuation standard deviation is greater than or equal to a preset amplitude fluctuation standard deviation maximum value; If the amplitude fluctuation standard deviation is greater than or equal to the preset maximum amplitude fluctuation standard deviation, the wind noise fluctuation amount is determined to be zero; otherwise, the wind noise fluctuation amount is confirmed based on the regularized value of the amplitude fluctuation standard deviation.

8. A vehicle wind noise evaluation device, characterized in that: include: An acquisition module, used for acquiring the interior noise signal of the target vehicle; A calculation module, used to calculate the amplitude fluctuation standard deviation of the vehicle interior noise signal in a target wind noise perception characteristic interval to determine the wind noise fluctuation amount of the vehicle interior noise signal; An evaluation module is used to calculate the wind noise amplitude of the vehicle interior noise signal in the target wind noise perception characteristic interval, and calculate the wind noise masking amount of the vehicle interior noise signal according to the wind noise amplitude, so as to obtain the wind noise evaluation result of the target vehicle by using the wind noise fluctuation amount, the wind noise amplitude, the wind noise masking amount and a preset weight parameter set.

9. A vehicle, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle wind noise evaluation method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the vehicle wind noise evaluation method as described in any one of claims 1 to 7.

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