Sound quality optimization method and device of vehicle front combination lamp, vehicle and storage medium

Abstract

The invention relates to a sound quality optimization method and device of a vehicle front combination lamp, a vehicle and a storage medium, and the method comprises the steps: when the subjective score of a to-be-evaluated vehicle front combination lamp is smaller than a preset score, the vehicle front combination lamp is evaluated; performing in-vehicle noise test, out-vehicle near-field noise test and shell vibration test on the front combined lamp of the vehicle to obtain an in-vehicle noise test result, an out-vehicle near-field noise test result and a shell vibration test result, determining multiple groups of objective evaluation sequences according to the test results, determining a subjective evaluation sequence according to the subjective score, and performing evaluation on the subjective evaluation sequence according to the subjective score. And determining a plurality of groups of association degree values between the subjective evaluation sequence and the plurality of groups of objective evaluation sequences, sorting all the association degree values to obtain a target sorting result, and optimizing the front combined lamp of the vehicle according to the target sorting result. Therefore, the problems that the related technology lacks a sound quality evaluation method for the vehicle front combination lamp and the influence of shell vibration on the sound quality is not considered are solved, and the sound quality development efficiency and precision of the front combination lamp can be improved.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, apparatus, vehicle, and storage medium for optimizing the sound quality of a vehicle's front combination lamp. Background Technology

[0002] As a crucial component of a vehicle, the vibration and noise levels of the front combination lights during operation directly impact the overall vehicle's NVH (noise, vibration, and harshness) performance. Currently, industry evaluations of vehicle sound quality primarily focus on traditional noise sources, using objective testing and analysis to develop evaluation standards and provide technical support for product optimization.

[0003] However, the relevant technologies do not include the vibration of the front combination lamp housing in the sound quality evaluation scope. In actual vehicle use, it has been found that excessive vibration of the front combination lamp housing can be transmitted to other assemblies such as the dashboard through the mounting structure, causing these assemblies to vibrate and generate noise, thus reducing the user experience. Since the vibration of the front combination lamp housing is not included in the vehicle's sound quality evaluation system, the evaluation results cannot fully reflect the actual sound quality situation and cannot effectively support the improvement of the overall vehicle sound quality. Summary of the Invention

[0004] This application provides a method, apparatus, vehicle, and storage medium for optimizing the sound quality of a vehicle front combination lamp, in order to address the lack of a sound quality assessment method for vehicle front combination lamps in related technologies and the failure to consider the impact of housing vibration on sound quality. It provides a sound quality assessment method to improve the efficiency and accuracy of front combination lamp sound quality development based on the assessment results.

[0005] The first aspect of this application provides a method for optimizing the sound quality of a vehicle's front combination lamp, comprising the following steps: Obtain subjective ratings for the front combination lights of the vehicle to be evaluated; If the subjective score is less than the preset score, then the vehicle front combination lamp is subjected to in-vehicle noise test, in-vehicle near-field noise test and shell vibration test respectively to obtain the in-vehicle noise test result, the in-vehicle near-field noise test result and the shell vibration test result; Based on the in-vehicle noise test results, the out-of-vehicle near-field noise test results, and the shell vibration test results, multiple sets of objective evaluation sequences are determined. Based on the subjective scores, a subjective evaluation sequence is determined. Multiple sets of correlation values ​​between the subjective evaluation sequences and the multiple sets of objective evaluation sequences are determined. All correlation values ​​are sorted to obtain a target ranking result. Based on the target ranking result, the vehicle's front combination lights are optimized. The steps of obtaining the subjective scores and optimizing the vehicle's front combination lights based on the target ranking result are repeated until the subjective scores are greater than or equal to a preset score.

[0006] Optionally, in some embodiments, the step of performing in-vehicle noise testing, out-of-vehicle near-field noise testing, and housing vibration testing on the vehicle's front combination lamp to obtain in-vehicle noise test results, out-of-vehicle near-field noise test results, and housing vibration test results includes: The first noise acquisition device is placed at the target position inside the vehicle, and the vehicle's front combination lights are controlled to operate in a first preset sequence to obtain the vehicle interior noise test results. The second noise acquisition device is placed at the target position outside the vehicle, and the vehicle's front combination lights are controlled to operate in a second preset sequence to obtain the test results of the near-field noise outside the vehicle. A preset vibration sensor is placed at the target position of the housing, and the vehicle's front combination lights are controlled to operate in a third preset sequence to obtain the vibration test results of the housing.

[0007] Optionally, in some embodiments, before determining multiple sets of correlation values ​​between the subjective evaluation sequence and multiple sets of the objective evaluation sequences, the following steps are included: According to a preset processing formula, the subjective evaluation sequence and multiple sets of objective evaluation sequences are subjected to dimensionless processing, wherein the preset processing formula is: ; in, For the first In the second test Dimensionless values ​​of objective parameters; For the first In the second test The actual measured value of an objective parameter No. The reference value corresponding to each objective parameter.

[0008] Optionally, in some embodiments, determining the multiple sets of correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences includes: Based on a preset correlation calculation formula, the multiple correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences are determined, wherein the preset correlation calculation formula is:

[0009] in, For the first In the second test The correlation coefficient between objective parameters and subjective parameters The resolution coefficient, For the first Dimensionless values ​​of subjective parameters in this test For the first In the second test Dimensionless value of an objective parameter This represents the minimum difference between the dimensionless values ​​of the subjective and objective parameters across all tests. It is the maximum value among the dimensionless values ​​of the subjective parameters and the dimensionless values ​​of the objective parameters in all tests.

[0010] Optionally, in some embodiments, determining multiple sets of objective evaluation sequences based on the in-vehicle noise test results, the external near-field noise test results, and the housing vibration test results includes: Based on the in-vehicle noise test results, the following objective evaluation sequences were determined: in-vehicle sound pressure level, in-vehicle loudness, in-vehicle sharpness, in-vehicle characteristic loudness, and in-vehicle vibration amplitude. Based on the test results of the vehicle exterior near-field noise, the objective evaluation sequences of the vehicle exterior sound pressure level, loudness, sharpness, characteristic loudness, and vibration amplitude are determined. The objective evaluation sequence of shell vibration amplitude is determined based on the shell vibration test results.

[0011] A second aspect of this application provides a sound quality optimization device for a vehicle front combination lamp, comprising: The acquisition module is used to acquire subjective scores for the front combination lights of the vehicle to be evaluated; The testing module is used to perform in-vehicle noise testing, out-of-vehicle near-field noise testing, and housing vibration testing on the vehicle's front combination lamps when the subjective score is less than the preset score, and obtain the in-vehicle noise test results, out-of-vehicle near-field noise test results, and housing vibration test results respectively. The optimization module is used to determine multiple sets of objective evaluation sequences based on the in-vehicle noise test results, the in-vehicle near-field noise test results, and the shell vibration test results; determine a subjective evaluation sequence based on the subjective score; determine multiple sets of correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences; sort all correlation values ​​to obtain a target ranking result; optimize the vehicle's front combination lights based on the target ranking result; and repeat the steps of obtaining the subjective score to optimizing the vehicle's front combination lights based on the target ranking result until the subjective score is greater than or equal to a preset score.

[0012] Optionally, in some embodiments, the test module includes: The first test unit is used to place a preset first noise acquisition device at a target position inside the vehicle and control the vehicle's front combination lights to operate in a first preset sequence in order to obtain the vehicle interior noise test results. The second test unit is used to place a preset second noise acquisition device at a target position outside the vehicle and control the vehicle's front combination lights to operate in a second preset sequence in order to obtain the test results of the near-field noise outside the vehicle. The third test unit is used to place a preset vibration sensor at the target position of the housing and control the vehicle front combination lights to run in a third preset sequence in order to obtain the vibration test results of the housing.

[0013] Optionally, in some embodiments, before determining multiple sets of correlation values ​​between the subjective evaluation sequence and multiple sets of objective evaluation sequences, the optimization module includes: The processing unit is configured to perform dimensionless processing on the subjective evaluation sequence and the multiple sets of objective evaluation sequences according to a preset processing formula, wherein the preset processing formula is: ; in, For the first In the second test Dimensionless values ​​of objective parameters; For the first In the second test The actual measured value of an objective parameter No. The reference value corresponding to each objective parameter.

[0014] Optionally, in some embodiments, the optimization module includes: The first determining unit is used to determine the multiple sets of correlation degree values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences based on a preset correlation calculation formula, wherein the preset correlation calculation formula is:

[0015] in, For the first In the second test The correlation coefficient between objective parameters and subjective parameters The resolution coefficient, For the first Dimensionless values ​​of subjective parameters in this test For the first In the second test Dimensionless value of an objective parameter This represents the minimum difference between the dimensionless values ​​of the subjective and objective parameters across all tests. It is the maximum value among the dimensionless values ​​of the subjective parameters and the dimensionless values ​​of the objective parameters in all tests.

[0016] Optionally, in some embodiments, the optimization module includes: The second determining unit is used to determine, based on the in-vehicle noise test results, the in-vehicle sound pressure level objective evaluation sequence, the in-vehicle loudness objective evaluation sequence, the in-vehicle sharpness objective evaluation sequence, the in-vehicle characteristic loudness objective evaluation sequence, and the in-vehicle vibration amplitude objective evaluation sequence. The third determining unit is used to determine the objective evaluation sequence of external sound pressure level, the objective evaluation sequence of external loudness, the objective evaluation sequence of external sharpness, the objective evaluation sequence of external characteristic loudness, and the objective evaluation sequence of external vibration amplitude based on the test results of the external near-field noise. The fourth determining unit is used to determine the objective evaluation sequence of shell vibration amplitude based on the shell vibration test results.

[0017] A third aspect of this application provides a vehicle, including: 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 sound quality optimization method for the vehicle's front combination lamps as described in the above embodiments.

[0018] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the sound quality optimization method for vehicle front combination lights as described in the above embodiments.

[0019] Therefore, by obtaining a subjective score for the front combination lamp of the vehicle to be evaluated, if the subjective score is less than a preset score, in-vehicle noise testing, out-of-vehicle near-field noise testing, and housing vibration testing are performed on the front combination lamp to obtain in-vehicle noise test results, out-of-vehicle near-field noise test results, and housing vibration test results. Based on these results, multiple sets of objective evaluation sequences are determined. A subjective evaluation sequence is then determined based on the subjective score. Multiple correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences are determined. All correlation values ​​are sorted to obtain a target ranking result. The front combination lamp is then optimized based on the target ranking result. This process of obtaining the subjective score and optimizing the front combination lamp based on the target ranking result is repeated until the subjective score is greater than or equal to the preset score. This solves the problem of the lack of a sound quality assessment method for vehicle front combination lamps and the failure to consider the impact of housing vibration on sound quality in related technologies. This application can improve the efficiency and accuracy of front combination lamp sound quality development based on the evaluation results.

[0020] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of a method for optimizing the sound quality of a vehicle front combination lamp according to an embodiment of this application; Figure 2 This is a schematic diagram illustrating the principle of a near-field noise test outside a vehicle according to an embodiment of this application; Figure 3 This is a schematic diagram illustrating the principle of a method for optimizing the sound quality of a vehicle front combination lamp according to an embodiment of this application. Figure 4 This is a block diagram of a sound quality optimization device for a vehicle front combination lamp according to an embodiment of this application; Figure 5 This is a structural schematic diagram of a vehicle provided according to an embodiment of this application. Detailed Implementation

[0022] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0023] The following describes a method, apparatus, vehicle, and storage medium for optimizing the sound quality of a vehicle front combination lamp according to embodiments of this application, with reference to the accompanying drawings. Addressing the lack of a sound quality assessment method for vehicle front combination lamps and the failure to consider the impact of housing vibration on sound quality in the related technologies mentioned in the background, this application provides a method for optimizing the sound quality of a vehicle front combination lamp. In this method, a subjective score of the vehicle front combination lamp to be evaluated is obtained. If the subjective score is less than a preset score, in-vehicle noise testing, out-of-vehicle near-field noise testing, and housing vibration testing are performed on the vehicle front combination lamp to obtain in-vehicle noise test results, out-of-vehicle near-field noise test results, and housing vibration test results. Multiple sets of objective evaluation sequences are determined based on the in-vehicle noise test results, out-of-vehicle near-field noise test results, and housing vibration test results. A subjective evaluation sequence is determined based on the subjective score. Multiple sets of correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences are determined. All correlation values ​​are sorted to obtain a target ranking result. The vehicle front combination lamp is optimized based on the target ranking result. The steps of obtaining the subjective score and optimizing the vehicle front combination lamp based on the target ranking result are repeated until the subjective score is greater than or equal to the preset score. This solves the problem that related technologies lack a method for evaluating the sound quality of vehicle front combination lights and do not consider the impact of housing vibration on sound quality. This application can improve the efficiency and accuracy of front combination light sound quality development based on the evaluation results.

[0024] Specifically, Figure 1 This is a flowchart illustrating a method for optimizing the sound quality of a vehicle front combination lamp, as provided in an embodiment of this application.

[0025] like Figure 1 As shown, the method for optimizing the sound quality of the vehicle's front combination lights includes the following steps: In step S101, the subjective score of the front combination lamps of the vehicle to be evaluated is obtained.

[0026] The subjective rating is a quantitative score given by relevant personnel based on auditory perception of the noise comfort, acceptability, and quality of the front combination lights.

[0027] Specifically, embodiments of this application can obtain subjective ratings of vehicle front combination lights by users or professional evaluators. Here, embodiments of this application provide a rating method for vehicle front combination lights.

[0028] (1) Evaluation position: driver's position.

[0029] (2) Operating method: The vehicle battery is fully charged and powered on. The operator manually adjusts the front combination lights from the lower limit to the upper limit and then back to the lower limit, repeating this three times. If the vehicle has a headlight self-check program after starting, the vehicle needs to be powered on and off three times.

[0030] It should be noted that the upper and lower limits of the front combination lights refer to the limit range of the light beam angle adjustment, that is, the highest limit that the light can be adjusted upward (upper limit) and the lowest limit that it can be adjusted downward (lower limit).

[0031] (3) Evaluation content: The noise of the combination lamp running smoothly during the adjustment process before evaluation.

[0032] (4) The subjective evaluation method adopts a 10-point system, with the smallest unit of evaluation score being 0.25 points. The final score is the average of the subjective scores of each evaluation group, and the average score is rounded to 0.25. The scoring criteria are shown in Table 1, where Table 1 is the scoring description table.

[0033] Table 1

[0034] Therefore, the subjective scores obtained in this application reflect the user's perception level of the noise of the front combination lights and provide a reliable reference sequence for subsequent grayscale correlation analysis. This allows the influence of objective parameters on subjective perception to be quantified and ranked, thereby guiding the development team to focus on key issues, efficiently complete sound quality optimization, and significantly improve product market acceptance and user satisfaction.

[0035] In step S102, if the subjective score is less than the preset score, the vehicle front combination lamp is subjected to in-vehicle noise test, in-vehicle near-field noise test and shell vibration test respectively to obtain the in-vehicle noise test result, the in-vehicle near-field noise test result and the shell vibration test result.

[0036] Furthermore, in some embodiments, the vehicle front combination lights are subjected to in-vehicle noise testing, in-vehicle near-field noise testing, and housing vibration testing to obtain in-vehicle noise test results, in-vehicle near-field noise test results, and housing vibration test results, including: placing a preset first noise acquisition device at a target position inside the vehicle and controlling the vehicle front combination lights to operate in a first preset sequence to obtain in-vehicle noise test results; placing a preset second noise acquisition device at a target position outside the vehicle and controlling the vehicle front combination lights to operate in a second preset sequence to obtain in-vehicle near-field noise test results; and placing a preset vibration sensor at a target position on the housing and controlling the vehicle front combination lights to operate in a third preset sequence to obtain housing vibration test results.

[0037] The preset score is a pre-set subjective scoring threshold used to determine whether the sound quality of the front combination light meets user satisfaction requirements. The preset score can be pre-set by the user, obtained through a limited number of experiments, or obtained through a limited number of computer simulations. No specific limitation is made here. Preferably, the preset score is 7 points. The preset first noise acquisition device and the preset second noise acquisition device can be artificial heads used to simulate the hearing position and frequency response characteristics of the human ear, which can realistically reproduce the sound received by the human ear. The first preset sequence, the second preset sequence, and the third preset sequence refer to the standard action cycle of the front combination light actuator, which is: running from the lower mechanical limit to the upper limit and then back to the lower limit, forming a complete reciprocating stroke.

[0038] Specifically, when the subjective score is lower than a preset threshold, the above three tests are initiated: First, the first noise acquisition device (such as an artificial head) is placed at a target position near the driver's ear inside the vehicle (70±2 cm from the seat surface, with the backrest and seat cushion at a 90° angle), and the front combination lights are controlled to operate in a first preset sequence (from the lower limit to the upper limit to the lower limit, repeated three times), and the in-vehicle noise test results are recorded; Second, the second noise acquisition device (such as an artificial head) is placed at a target position outside the vehicle 40±2 cm in front of the vehicle's longitudinal centerline, at a height level with the center of the front combination light housing, and the lights are operated in the same or corresponding second preset sequence to obtain the near-field noise test results outside the vehicle; Simultaneously, the vibration sensor is fixed at the target position of the housing at the center of the front combination light housing surface, and the front combination lights are operated in a third preset sequence to collect the housing vibration test results. All tests cover manual adjustment and self-test conditions, and ensure that there are no fewer than three sets of valid data.

[0039] Herein, embodiments of this application provide methods for testing in-vehicle noise, testing near-field noise outside the vehicle, and testing housing vibration.

[0040] (a) Objective test of the interior noise of the front combination lights in the whole vehicle state Test method: (1) Place the manual head firmly against the backrest and headrest, with the distance between the manual head and the seat surface being (70±2cm). For adjustable seats, adjust the seat to the middle position, with the backrest and seat cushion at a 90-degree angle. (2) The operator manually adjusts the front combination lights, making the front combination lights go from "lower limit position → upper limit position → lower limit position" three times. Use the manual head to record the noise during the operation of the front combination lights. (3) If there is a front combination light self-test program after the vehicle starts, the noise during the headlight self-test process must be recorded using the manual head, and repeated 3 times.

[0041] Since headlight self-test scenarios mostly involve vehicle power-on or engine start-up, pure electric vehicles and hybrid vehicles, which do not experience engine start-up noise interference during this process, can be tested directly. Other models that experience engine start-up interference can be tested in an idling scenario using an external controller. The near-field test, vibration test, and subjective evaluation scenarios described below follow the same pattern.

[0042] (ii) Objective test of the near-field noise of the front combination lamps outside the vehicle under the condition of the whole vehicle.

[0043] like Figure 2 As shown, the test method is as follows: (1) Place the artificial head 40±2cm directly in front of the center of the car, and the height of the artificial head is level with the center of the front combination lamp housing. Figure 1 As shown. (2) The operator manually adjusts the front combination lights, making the front combination lights go from "lower limit → upper limit → lower limit" several times to ensure that three sets of valid data are recorded. The noise during the operation of the front combination lights is recorded using a manual head. (3) If there is a front combination light self-test program after the vehicle is started, the noise during the headlight self-test process must be recorded using a manual head, and the power is turned on and off several times to ensure that three sets of valid data are recorded.

[0044] (iii) Vibration test of the front combination lamp housing under vehicle condition.

[0045] Test method: (1) Place the vibration sensor at the center of the headlight housing surface. (2) The operator manually adjusts the front combination lamp, making the front combination lamp go from "lower limit → upper limit → lower limit" several times, and records the vibration of the housing during the operation of the front combination lamp, ensuring that three sets of valid data are recorded. (3) If there is a headlight self-test program after the vehicle is started, the vibration during the headlight self-test process must be recorded, and repeated several times to ensure that three sets of valid data are recorded.

[0046] It should be noted that, in this embodiment of the application, after obtaining the in-vehicle noise test results, the external near-field noise test results, and the shell vibration test results, data analysis is required. Specifically, when processing the objective sound test results, data from the stable operation phase of the motor is selected as the research object. For the selected data, the sound pressure level, loudness, sharpness, characteristic loudness, and vibration amplitude of the noise are calculated. When performing noise data analysis, the reverberation field is selected for the in-vehicle measured data, and the free field is selected for the external near-field measured data.

[0047] In step S103, multiple sets of objective evaluation sequences are determined based on the in-vehicle noise test results, the out-of-vehicle near-field noise test results, and the shell vibration test results. A subjective evaluation sequence is determined based on the subjective score. Multiple sets of correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences are determined. All correlation values ​​are sorted to obtain the target ranking result. The vehicle's front combination lights are optimized based on the target ranking result. The steps of obtaining the subjective score and optimizing the vehicle's front combination lights based on the target ranking result are repeated until the subjective score is greater than or equal to the preset score.

[0048] Furthermore, in some embodiments, multiple sets of objective evaluation sequences are determined based on the in-vehicle noise test results, the external near-field noise test results, and the shell vibration test results. These include: determining an objective evaluation sequence for in-vehicle sound pressure level, an objective evaluation sequence for in-vehicle loudness, an objective evaluation sequence for in-vehicle sharpness, an objective evaluation sequence for in-vehicle characteristic loudness, and an objective evaluation sequence for in-vehicle vibration amplitude based on the in-vehicle noise test results; determining an objective evaluation sequence for external sound pressure level, an objective evaluation sequence for external loudness, an objective evaluation sequence for external sharpness, an objective evaluation sequence for external characteristic loudness, and an objective evaluation sequence for external vibration amplitude based on the shell vibration test results; and determining an objective evaluation sequence for shell vibration amplitude based on the shell vibration test results.

[0049] Specifically, in combination Figure 3 As shown, in this embodiment of the application, the three subjective evaluation scores are used as a reference sequence according to the grey relational analysis method, denoted as... The sound pressure level, loudness, sharpness, characteristic loudness, and vibration amplitude (1~2 Bark, 5~6 Bark) obtained from the analysis of three objective test data inside the vehicle are denoted as follows: The sound pressure level, loudness, sharpness, characteristic loudness, and vibration amplitude (1~3 Bark, 7~8 Bark) obtained from three objective near-field tests outside the vehicle are denoted as... The objective data obtained from shell vibration are expressed as The data obtained from the above objective tests are used as a reference sequence, denoted as... Therefore, multiple objective evaluation sequences were determined based on the in-vehicle noise test results, the out-of-vehicle near-field noise test results, and the shell vibration test results.

[0050] Furthermore, in some embodiments, before determining the multiple sets of correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences, the method includes: performing dimensionless processing on the subjective evaluation sequence and the multiple sets of objective evaluation sequences according to a preset processing formula, wherein the preset processing formula is: ; in, For the first In the second test Dimensionless values ​​of objective parameters; For the first In the second test The actual measured value of an objective parameter No. The reference value corresponding to each objective parameter.

[0051] It should be noted that, before performing dimensionless processing on the subjective evaluation sequence and multiple sets of objective evaluation sequences, the embodiments of this application can formulate reference values ​​corresponding to the subjective and objective parameters.

[0052] Specifically, the subjective evaluation target value for the noise of the front combination lamp assembly under vehicle conditions is set to be no less than 7 points. The objective evaluation parameters and objective evaluation targets for the operating noise of the front combination lamp and the vibration value of the headlight housing are as follows: Analysis of the sound quality test results for the front combination lights inside the vehicle: sound pressure level ≤ 35 dB(A), loudness ≤ 2.2 sone, sharpness ≤ 1.2 acum, characteristic loudness ≤ 0.5 sone / bark (1~2 bark), characteristic loudness ≤ 0.3 sone / bark (5~6 bark), which are denoted as... .

[0053] Analysis of the near-field sound quality test results for the front combination lights: sound pressure level ≤ 40 dB(A), loudness ≤ 3.7 sone, sharpness ≤ 1.2 acum, characteristic loudness ≤ 0.4 sone / bark (1~3 bark), characteristic loudness ≤ 0.3 sone / bark (7~8 bark), denoted as... .

[0054] The maximum vibration value of the front combination lamp housing is ≤0.01g, which is denoted as .

[0055] Then, based on the preset processing formula, the subjective evaluation sequence and multiple sets of objective evaluation sequences are dimensionless to obtain a new sequence. Then, the correlation coefficient was calculated. .

[0056] Furthermore, in some embodiments, determining multiple sets of correlation values ​​between the subjective evaluation sequence and multiple sets of objective evaluation sequences includes: determining multiple sets of correlation values ​​between the subjective evaluation sequence and multiple sets of objective evaluation sequences based on a preset correlation calculation formula, wherein the preset correlation calculation formula is:

[0057] in, For the first In the second test The correlation coefficient between objective parameters and subjective parameters; The resolution coefficient, ,generally Take 0.5; For the first Dimensionless values ​​of subjective parameters in this test For the first In the second test Dimensionless value of an objective parameter This represents the minimum difference between the dimensionless values ​​of the subjective and objective parameters across all tests. It is the maximum value among the dimensionless values ​​of the subjective parameters and the dimensionless values ​​of the objective parameters in all tests. and These represent the maximum and minimum values ​​of the absolute difference between the comparative sequences obtained from three objective data analyses.

[0058] The correlation coefficient represents the degree of correlation between a parameter obtained from three objective tests and three subjective ratings at the corresponding number of tests. The larger the correlation coefficient, the greater the influence of that parameter on the subjective rating. The average of the three correlation coefficients is used as a measure of the degree of correlation between the reference series and the comparison series. The correlation degree can be calculated using the following formula.

[0059] ; By analyzing the sound pressure level, loudness, sharpness, characteristic loudness, and vibration amplitude obtained from in-vehicle and near-field objective test data, and sorting them according to their correlation, we can identify the parameters that have a significant impact on subjective evaluation. In subsequent scheme improvements, we can prioritize optimizing the parameters that rank higher to quickly improve the subjective evaluation score. If the subjective evaluation score does not reach 7 points after one optimization, we can iterate further using the above steps until the subjective evaluation score reaches 7 points, at which point the iteration ends.

[0060] In summary, the embodiments of this application include a method for acquiring in-vehicle and near-field sound data of the front combination lamp assembly, a housing vibration testing method, a psychoacoustic data processing method, a subjective scoring system, and a gray-scale correlation analysis method. The gray-scale correlation analysis method is used to rank the psychoacoustic and vibration amplitude parameters obtained from in-vehicle and external tests. Parameters ranked higher have a greater impact on the subjective score. Measures are then taken to optimize the top-ranked parameters to achieve a subjective evaluation score of 7 or higher. If the subjective score does not meet the requirements after one optimization, further iterations are needed until the subjective score meets the requirements, at which point the iteration ends. Therefore, the embodiments of this application can effectively improve the sound quality evaluation level and development process of the front combination lamp, and also have positive significance for analyzing the causes of noise in other assemblies.

[0061] The sound quality optimization method for vehicle front combination lights proposed in this application involves obtaining a subjective score for the vehicle front combination light to be evaluated. If the subjective score is less than a preset score, in-vehicle noise testing, out-of-vehicle near-field noise testing, and housing vibration testing are performed on the vehicle front combination light to obtain in-vehicle noise test results, out-of-vehicle near-field noise test results, and housing vibration test results. Multiple sets of objective evaluation sequences are determined based on these results. A subjective evaluation sequence is determined based on the subjective score. Multiple correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences are determined. All correlation values ​​are sorted to obtain a target ranking result. The vehicle front combination light is optimized based on the target ranking result. This process of obtaining the subjective score and optimizing the vehicle front combination light based on the target ranking result is repeated until the subjective score is greater than or equal to the preset score. This solves the problem of the lack of a sound quality evaluation method for vehicle front combination lights in related technologies and the failure to consider the impact of housing vibration on sound quality. This application can improve the efficiency and accuracy of front combination light sound quality development based on the evaluation results.

[0062] Next, with reference to the accompanying drawings, a sound quality optimization device for a vehicle front combination lamp according to an embodiment of this application is described.

[0063] Figure 4 This is a block diagram of a sound quality optimization device for a vehicle front combination lamp according to an embodiment of this application.

[0064] like Figure 4 As shown, the sound quality optimization device 10 for the vehicle's front combination lamps includes: an acquisition module 100, a testing module 200, and an optimization module 300.

[0065] The acquisition module 100 is used to acquire the subjective score of the front combination lights of the vehicle to be evaluated.

[0066] The test module 200 is used to perform in-vehicle noise test, out-of-vehicle near-field noise test, and shell vibration test on the vehicle's front combination lamps when the subjective score is less than the preset score, and obtain the in-vehicle noise test results, out-of-vehicle near-field noise test results, and shell vibration test results.

[0067] The optimization module 300 is used to determine multiple sets of objective evaluation sequences based on the in-vehicle noise test results, the in-vehicle near-field noise test results, and the shell vibration test results; determine a subjective evaluation sequence based on the subjective score; determine multiple sets of correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences; sort all correlation values ​​to obtain a target ranking result; optimize the vehicle's front combination lights based on the target ranking result; and repeat the steps of obtaining the subjective score to optimizing the vehicle's front combination lights based on the target ranking result until the subjective score is greater than or equal to the preset score.

[0068] Optionally, in some embodiments, the test module 300 includes: a first test unit to a third test unit.

[0069] The first test unit is used to place a preset first noise acquisition device at a target position inside the vehicle and control the vehicle's front combination lights to operate in a first preset sequence in order to obtain the in-vehicle noise test results.

[0070] The second test unit is used to place a preset second noise acquisition device at a target position outside the vehicle and control the vehicle's front combination lights to operate in a second preset sequence in order to obtain the test results of near-field noise outside the vehicle.

[0071] The third test unit is used to place a preset vibration sensor at the target position of the housing and control the vehicle's front combination lights to run in a third preset sequence in order to obtain the housing vibration test results.

[0072] Optionally, in some embodiments, before determining the multiple sets of correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences, the optimization module 300 includes a processing unit.

[0073] The processing unit is used to perform dimensionless processing on the subjective evaluation sequence and multiple sets of objective evaluation sequences according to a preset processing formula, wherein the preset processing formula is: ; in, For the first In the second test Dimensionless values ​​of objective parameters; For the first In the second test The actual measured value of an objective parameter No. The reference value corresponding to each objective parameter.

[0074] Optionally, in some embodiments, the optimization module 300 includes: a first determining unit.

[0075] The first determining unit is used to determine multiple correlation values ​​between the subjective evaluation sequence and multiple sets of objective evaluation sequences based on a preset correlation calculation formula. The preset correlation calculation formula is as follows:

[0076] in, For the first In the second test The correlation coefficient between objective parameters and subjective parameters The resolution coefficient, For the first Dimensionless values ​​of subjective parameters in this test For the first In the second test Dimensionless value of an objective parameter This represents the minimum difference between the dimensionless values ​​of the subjective and objective parameters across all tests. It is the maximum value among the dimensionless values ​​of the subjective parameters and the dimensionless values ​​of the objective parameters in all tests.

[0077] Optionally, in some embodiments, the optimization module 300 further includes: a second determining unit to a fourth determining unit.

[0078] The second determining unit is used to determine, based on the in-vehicle noise test results, the in-vehicle sound pressure level objective evaluation sequence, the in-vehicle loudness objective evaluation sequence, the in-vehicle sharpness objective evaluation sequence, the in-vehicle characteristic loudness objective evaluation sequence, and the in-vehicle vibration amplitude objective evaluation sequence.

[0079] The third determining unit is used to determine the objective evaluation sequence of external sound pressure level, external loudness, external sharpness, external characteristic loudness, and external vibration amplitude based on the test results of external near-field noise.

[0080] The fourth determining unit is used to determine the objective evaluation sequence of shell vibration amplitude based on the shell vibration test results.

[0081] It should be noted that the explanation of the aforementioned embodiment of the sound quality optimization method for vehicle front combination lamps also applies to the sound quality optimization device for vehicle front combination lamps in this embodiment, and will not be repeated here.

[0082] The sound quality optimization device for vehicle front combination lights proposed in this application obtains a subjective score of the vehicle front combination light to be evaluated. If the subjective score is less than a preset score, the device performs in-vehicle noise testing, out-of-vehicle near-field noise testing, and housing vibration testing on the vehicle front combination light to obtain in-vehicle noise test results, out-of-vehicle near-field noise test results, and housing vibration test results. Multiple sets of objective evaluation sequences are determined based on these results. A subjective evaluation sequence is determined based on the subjective score. Multiple correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences are determined. All correlation values ​​are sorted to obtain a target ranking result. The vehicle front combination light is optimized based on the target ranking result. This process of obtaining the subjective score and optimizing the vehicle front combination light based on the target ranking result is repeated until the subjective score is greater than or equal to the preset score. This solves the problem of the lack of a sound quality evaluation method for vehicle front combination lights in related technologies and the failure to consider the impact of housing vibration on sound quality. This application can improve the efficiency and accuracy of front combination light sound quality development based on the evaluation results.

[0083] Figure 5 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle may include: The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0084] When the processor 502 executes the program, it implements the sound quality optimization method for the vehicle front combination lamps provided in the above embodiments.

[0085] Furthermore, the vehicle also includes: Communication interface 503 is used for communication between memory 501 and processor 502.

[0086] The memory 501 is used to store computer programs that can run on the processor 502.

[0087] The memory 501 may include high-speed RAM (Random Access Memory) memory, and may also include non-volatile memory, such as at least one disk storage.

[0088] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0089] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0090] The processor 502 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of this application.

[0091] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described method for optimizing the sound quality of vehicle front combination lights.

[0092] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0093] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0094] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0095] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (FPGAs), field-programmable gate arrays (FPGAs), etc.

[0096] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0097] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A method for optimizing the sound quality of a vehicle's front combination lamp, characterized in that, Includes the following steps: Obtain subjective ratings for the front combination lights of the vehicle to be evaluated; If the subjective score is less than the preset score, then the vehicle front combination lamp is subjected to in-vehicle noise test, in-vehicle near-field noise test and shell vibration test respectively to obtain the in-vehicle noise test result, the in-vehicle near-field noise test result and the shell vibration test result; Based on the in-vehicle noise test results, the out-of-vehicle near-field noise test results, and the shell vibration test results, multiple sets of objective evaluation sequences are determined. Based on the subjective scores, a subjective evaluation sequence is determined. Multiple sets of correlation values ​​between the subjective evaluation sequences and the multiple sets of objective evaluation sequences are determined. All correlation values ​​are sorted to obtain a target ranking result. Based on the target ranking result, the vehicle's front combination lights are optimized. The steps of obtaining the subjective scores and optimizing the vehicle's front combination lights based on the target ranking result are repeated until the subjective scores are greater than or equal to a preset score.

2. The method according to claim 1, characterized in that, The process of conducting interior noise tests, exterior near-field noise tests, and housing vibration tests on the vehicle's front combination lights to obtain interior noise test results, exterior near-field noise test results, and housing vibration test results includes: The first noise acquisition device is placed at the target position inside the vehicle, and the vehicle's front combination lights are controlled to operate in a first preset sequence to obtain the vehicle noise test results. The second noise acquisition device is placed at the target position outside the vehicle, and the vehicle's front combination lights are controlled to operate in a second preset sequence to obtain the test results of the near-field noise outside the vehicle. A preset vibration sensor is placed at the target position of the housing, and the vehicle's front combination lights are controlled to operate in a third preset sequence to obtain the vibration test results of the housing.

3. The method according to claim 1, characterized in that, Before determining the multiple sets of correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences, the process includes: According to a preset processing formula, the subjective evaluation sequence and multiple sets of objective evaluation sequences are subjected to dimensionless processing, wherein the preset processing formula is: ； in, For the first In the second test Dimensionless values ​​of objective parameters; For the first In the second test The actual measured value of an objective parameter No. The reference value corresponding to each objective parameter.

4. The method according to claim 1, characterized in that, The determination of multiple sets of correlation values ​​between the subjective evaluation sequence and multiple sets of objective evaluation sequences includes: Based on a preset correlation calculation formula, the multiple correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences are determined, wherein the preset correlation calculation formula is: in, For the first In the second test The correlation coefficient between objective and subjective parameters The resolution coefficient, For the first Dimensionless values ​​of subjective parameters in this test For the first In the second test Dimensionless value of an objective parameter This represents the minimum difference between the dimensionless values ​​of the subjective and objective parameters across all tests. It is the maximum value among the dimensionless values ​​of the subjective parameters and the dimensionless values ​​of the objective parameters in all tests.

5. The method according to claim 1, characterized in that, The determination of multiple objective evaluation sequences based on the in-vehicle noise test results, the out-of-vehicle near-field noise test results, and the shell vibration test results includes: Based on the in-vehicle noise test results, the following objective evaluation sequences were determined: in-vehicle sound pressure level, in-vehicle loudness, in-vehicle sharpness, in-vehicle characteristic loudness, and in-vehicle vibration amplitude. Based on the test results of the vehicle exterior near-field noise, the objective evaluation sequences of the vehicle exterior sound pressure level, loudness, sharpness, characteristic loudness, and vibration amplitude are determined. The objective evaluation sequence of shell vibration amplitude is determined based on the shell vibration test results.

6. A sound quality optimization device for a vehicle front combination lamp, characterized in that, include: The acquisition module is used to acquire subjective scores for the front combination lights of the vehicle to be evaluated; The testing module is used to perform in-vehicle noise testing, out-of-vehicle near-field noise testing, and housing vibration testing on the vehicle's front combination lamps when the subjective score is less than the preset score, and obtain the in-vehicle noise test results, out-of-vehicle near-field noise test results, and housing vibration test results respectively. The optimization module is used to determine multiple sets of objective evaluation sequences based on the in-vehicle noise test results, the in-vehicle near-field noise test results, and the shell vibration test results; determine a subjective evaluation sequence based on the subjective score; determine multiple sets of correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences; sort all correlation values ​​to obtain a target ranking result; optimize the vehicle's front combination lights based on the target ranking result; and repeat the steps of obtaining the subjective score to optimizing the vehicle's front combination lights based on the target ranking result until the subjective score is greater than or equal to a preset score.

7. The apparatus according to claim 6, characterized in that, The test module includes: The first test unit is used to place a preset first noise acquisition device at a target position inside the vehicle and control the vehicle's front combination lights to operate in a first preset sequence in order to obtain the vehicle interior noise test results. The second test unit is used to place a preset second noise acquisition device at a target position outside the vehicle and control the vehicle's front combination lights to operate in a second preset sequence in order to obtain the test results of the near-field noise outside the vehicle. The third test unit is used to place a preset vibration sensor at the target position of the housing and control the vehicle front combination lights to run in a third preset sequence in order to obtain the vibration test results of the housing.

8. The apparatus according to claim 6, characterized in that, Before determining the multiple sets of correlation values ​​between the subjective evaluation sequence and the multiple sets of objective evaluation sequences, the optimization module includes: The processing unit is configured to perform dimensionless processing on the subjective evaluation sequence and the multiple sets of objective evaluation sequences according to a preset processing formula, wherein the preset processing formula is: ； in, For the first In the second test Dimensionless values ​​of objective parameters; For the first In the second test The actual measured value of an objective parameter No. The reference value corresponding to each objective parameter.

9. A vehicle, characterized in that, include: The device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the sound quality optimization method for a vehicle front combination lamp as described in any one of claims 1-5.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the sound quality optimization method for vehicle front combination lights as described in any one of claims 1-5.

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