A design method for sound evaluation of automotive electronic parking brake system

Abstract

The present invention belongs to the field of electronic parking brake systems and discloses a design method for evaluating the sound of an automotive electronic parking brake system. Step 1: Collecting objective sound data of the EPB inside the vehicle and collecting subjective sound evaluations; Step 2: Collecting objective sound data of the EPB outside the vehicle and collecting subjective sound evaluations; Step 3: Based on the data inside the vehicle and the evaluations in Step 1, analyzing the correlation of relevant parameters; Step 4: Based on the data outside the vehicle and the evaluations in Step 2, analyzing the correlation of relevant parameters; Step 5: Using EPB psychoacoustics to finally determine the objective parameters of the correlation analysis of the relevant parameters inside the vehicle in Step 3 and the correlation analysis of the relevant parameters outside the vehicle in Step 4; Step 6: Based on the subjective sound evaluation of the EPB inside the vehicle in Step 1, the subjective sound evaluation of the EPB outside the vehicle in Step 2, and the objective sound data parameters determined in Step 5, a subjective and objective evaluation target system of the EPB is established. This invention addresses the problem that the existing technology lacks an in-depth and positive analysis of the sound of the electronic parking brake system itself.

Description

Technical Field

[0001] The invention belongs to the field of electronic parking brake systems, and in particular relates to a design method for sound evaluation of an automobile electronic parking brake system. Background Art

[0002] As the automotive industry matures, the sound design of automotive component systems will inevitably evolve from early noise reduction to improved sound quality. This development will inevitably involve psychoacoustic parameters beyond traditional sound pressure levels, and different psychoacoustic parameters have different applicable conditions and scenarios. The EPB is a component system primarily located outside the passenger compartment. Therefore, when operating the electronic parking brake (EPB) system, the corresponding operating sound is not only heard by the driver inside the vehicle. Without the acoustic envelope of the vehicle body, the sound perceived by those outside the vehicle is louder, and some sound quality issues with the EPB will become more pronounced. Furthermore, with the recent advancements in autonomous driving levels, more and more features such as automatic parking and vehicle summoning have been implemented. The number of scenarios in which drivers perceive EPB sound outside the vehicle will also increase. Therefore, EPB sound development should not be limited to either the interior or exterior of the vehicle; it should be considered simultaneously. This will ensure that the resulting EPB sound quality better meets user needs. Existing EPB sound patents fall into two main categories: one encompasses EPB noise detection and identification devices or methods for industrial and production applications. Another category proposes noise reduction or active noise cancellation measures for EPB noise. Currently, there are virtually no patents for EPB sound development based on psychoacoustics. Even fewer patents exist for EPB sound development that consider both in-vehicle and out-of-vehicle usage scenarios and combine subjective and objective correlation analysis with subjective evaluation to derive psychoacoustic development parameters.

[0003] Existing EPB noise patents fall into two main categories: one is for EPB noise detection and identification devices or methods for industrial and production applications. These patents primarily propose hardware systems, often with simple EPB noise processing, using only sound pressure levels obtained through a sound level meter or microphone for identification. The other category proposes noise reduction or active noise cancellation measures for EPB noise, primarily targeting component structures without conducting in-depth, proactive analysis of the sound itself. Summary of the Invention

[0004] The present invention provides a design method for evaluating the sound of an automobile electronic parking brake system, which is used to solve the problem in the prior art that there is no in-depth and positive analysis of the sound of the electronic parking brake system itself.

[0005] The present invention is achieved through the following technical solutions:

[0006] A design method for evaluating the sound of an automotive electronic parking brake system, the design method comprising the following steps:

[0007] Step 1: Collect objective sound data and subjective sound evaluation of EPB in the car;

[0008] Step 2: Collect objective sound data of EPB outside the vehicle and collect subjective sound evaluation;

[0009] Step 3: Based on the in-vehicle data and evaluation in step 1, analyze the correlation of relevant parameters;

[0010] Step 4: Based on the off-vehicle data and evaluation in step 2, analyze the correlation of relevant parameters;

[0011] Step 5: Use EPB psychoacoustics to determine the objective parameters of the correlation analysis of the relevant parameters inside the vehicle in step 3 and the correlation analysis of the relevant parameters outside the vehicle in step 4;

[0012] Step 6: Based on the subjective sound evaluation of EPB inside the vehicle in step 1, the subjective sound evaluation of EPB outside the vehicle in step 2, and the objective sound data parameters determined in step 5, a subjective and objective evaluation target system of EPB is established.

[0013] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the objective sound data collection of the EPB in the vehicle in step 1 is specifically as follows:

[0014] Step 1.1: Adjust the driver's seat to the midpoint of each extreme position, and fix the acoustic artificial head simulator on the driver's seat. The operator also sits in the main driving seat.

[0015] Step 1.2: The operator depresses the brake pedal and presses the EPB button to unlock the EPB until the unlocking process is completely completed and then releases the EPB button after about 1 second.

[0016] Step 1.3: When locking, pull up the EPB button to operate the EPB lock until the locking process is completely completed and wait for about 1 second before releasing the EPB button;

[0017] Step 1.4: Repeat steps 1.2 and 1.3 three times and use an acoustic artificial head to record the sound of the system operation process.

[0018] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the subjective sound evaluation of the EPB in the vehicle is collected in step 1 as follows:

[0019] Evaluation position: driver's position;

[0020] Operation method: The vehicle battery is fully charged and in the powered state. Press the brake pedal and operate the EPB to unlock and lock, repeat three times;

[0021] Evaluation content: Evaluate the sound of the EPB unlocking and locking process, that is, the sound of the parking brake motor driving the caliper to release and clamp;

[0022] The subjective evaluation method adopts a 10-point system, and the minimum unit of the evaluation score is 0.5 points. When taking statistics, the average score of each evaluated sound item of the evaluation team is taken, and the calculation is rounded to 0.25 as the benchmark. The final score is recorded as Si1.

[0023] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the acquisition of objective sound data of the EPB outside the vehicle in step 2 is specifically as follows:

[0024] Step 2.1: Place the acoustic artificial head on the left rear side of the vehicle;

[0025] Step 2.2: The operator sits in the main driving seat;

[0026] Step 2.3: The operator presses the brake pedal and operates the EPB to unlock and lock, repeating this three times, and uses an acoustic artificial head to record the sound of the system operation process.

[0027] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the collection of subjective sound evaluations of the EPB outside the vehicle in step 2 is specifically as follows:

[0028] Evaluation position: Place the acoustic artificial head on the left rear side of the vehicle exterior;

[0029] Operation method: The vehicle battery is fully charged and in the powered-on state. The assistant sits in the main driver's seat, steps on the brake pedal, and operates the EPB to unlock and lock, repeating this three times.

[0030] Evaluation content: The evaluator outside the vehicle evaluates the sound of the EPB unlocking and locking process;

[0031] The subjective evaluation method adopts a 10-point system, and the minimum unit of the evaluation score is 0.5 points. When calculating the score, the average of the scores of each evaluated sound item of the evaluation team is taken, and the score is rounded to 0.25 as the basis. The final score is recorded as So1.

[0032] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the analysis of the correlation between in-vehicle data and relevant evaluation parameters in step 3 specifically includes the following steps:

[0033] Step 3.1: intercept and process the objective data of the EPB sound in the car;

[0034] Step 3.2: Based on the objective data from step 3.1, calculate the loudness, sharpness, fluctuation, roughness, and pitch psychoacoustic parameters of the acquired sound data in the reverberant field as the initial version of the objective evaluation parameters for the in-vehicle EPB sound;

[0035] Step 3.3: Based on the initial version of the in-vehicle EPB sound objective evaluation parameters from step 3.2, establish the in-vehicle regression equation Si;

[0036] Step 3.4: Substitute the initial version of the in-vehicle EPB sound objective evaluation parameters into the regression equation Si in step 3.3 to calculate the in-vehicle EPB sound objective quantification result Si2;

[0037] Step 3.5: Based on the regression equation Si from step 3.3 and the objective quantification result Si2 of the in-vehicle EPB sound from step 3.4, calculate the absolute error of the in-vehicle data using the formula 1-|Si1-Si2| / Si1*100%, where Si1 is the final score of the in-vehicle EPB subjective sound evaluation method;

[0038] Step 3.6: Based on the absolute error calculated in step 3.5, determine whether the absolute error is greater than 90%. If so, proceed to step 3.7; if not, proceed to step 3.8.

[0039] Step 3.7: The initial in-vehicle EPB sound objective evaluation parameters are used as quasi-objective evaluation parameters;

[0040] Step 3.8: Perform correlation analysis on other preliminary objective evaluation parameters;

[0041] Step 3.9: Establish the off-vehicle regression equation So;

[0042] Step 3.10: Substitute the quasi-objective evaluation parameters inside the vehicle into the regression equation outside the vehicle, and obtain the objective quantitative results outside the vehicle, Soi2, of the inside vehicle data.

[0043] Step 3.11: Calculate the absolute error of "other quasi-objective evaluation parameters" using the formula 1-|So1-Soi2| / So1*100%;

[0044] Step 3.12: Based on the absolute error calculated in step 3.11, determine whether the absolute error is greater than 80%. If so, proceed to step 3.13; if not, proceed to step 3.14;

[0045] Step 3.13: The quasi-objective evaluation parameter of the EPB sound inside the vehicle is the final objective evaluation parameter inside the vehicle;

[0046] Step 3.14: Perform correlation analysis on other quasi-objective evaluation parameters.

[0047] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the analysis of the correlation between the external vehicle data and the relevant evaluation parameters in step 4 specifically includes the following steps:

[0048] Step 4.1: intercept and process the objective data of the EPB sound outside the vehicle;

[0049] Step 4.2: Based on the objective data from step 4.1, calculate the loudness, sharpness, fluctuation, roughness, and pitch psychoacoustic parameters of the acquired sound data in a free field as objective evaluation parameters for the initial version of the exterior EPB sound;

[0050] Step 4.3: Based on the preliminary version of the objective evaluation parameters of the exterior EPB sound in step 4.2, establish the exterior regression equation So;

[0051] Step 4.4: Substitute the first-edition exterior EPB sound objective evaluation parameters into the regression equation So in step 4.3 to calculate the exterior EPB sound objective quantitative result So2;

[0052] Step 4.5: Based on the regression equation Si from step 4.3 and the objective quantification result So2 of the external EPB sound from step 4.4, calculate the absolute error of the external data using the formula 1-|So1-So2| / So1*100%;

[0053] Step 4.6: Based on the absolute error calculated in step 4.5, determine whether the absolute error is greater than 90%. If so, proceed to step 4.7; if not, proceed to step 4.8.

[0054] Step 4.7: The initial objective evaluation parameters of the EPB sound outside the vehicle are used as quasi-objective evaluation parameters;

[0055] Step 4.8: Perform correlation analysis on other preliminary objective evaluation parameters;

[0056] Step 4.9: Establish the in-vehicle regression equation Si;

[0057] Step 4.10: Substitute the quasi-objective evaluation parameters outside the vehicle into the in-vehicle regression equation Si to obtain the in-vehicle objective quantitative results Sio2 of the outside vehicle data;

[0058] Step 4.11: Calculate the absolute error using the formula 1-|Si1-Sio2| / Si1*100%;

[0059] Step 4.12: Based on the absolute error calculated in step 4.11, determine whether the absolute error is greater than 80%. If so, proceed to step 4.13; if not, proceed to step 4.14;

[0060] Step 4.13: The quasi-objective evaluation parameter is the final objective evaluation parameter outside the vehicle;

[0061] Step 4.14: Perform correlation analysis on other quasi-objective evaluation parameters.

[0062] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the objective parameters are finally determined in step 5, specifically by combining the final objective evaluation parameters inside the vehicle and the final objective evaluation parameters outside the vehicle to obtain the final EPB psychoacoustic objective parameters.

[0063] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the objective parameters are finally determined in step 5 as follows:

[0064] Quasi-objective evaluation parameters:

[0065] EPB operation sound, inside the car: loudness; outside the car: loudness, sharpness, roughness, and obtain the final loudness parameters.

[0066] The sound of EPB reaching the limit during operation is measured as follows: inside the vehicle: loudness and sharpness; outside the vehicle: loudness and roughness, and the final loudness, sharpness and roughness are obtained.

[0067] Final objective evaluation parameters: loudness, sharpness (limit), and roughness (limit).

[0068] (Limit) is used to describe the operating conditions under which the EPB generates sound, i.e., 'the sound generated by the EPB at the extreme position'. Other unspecified parameters are 'the sound generated by the EPB during normal operation'.

[0069] A design method for evaluating the sound of an automotive electronic parking brake system, wherein step 6 establishes a subjective and objective evaluation target system for the EPB, specifically:

[0070] According to the subjective evaluation target score of the target vehicle model, it is substituted into the in-vehicle regression equation Si and the out-vehicle regression equation So to obtain the specific value of the final objective evaluation parameter of EPB.

[0071] The beneficial effects of the present invention are:

[0072] The method for testing and processing the EPB operating sound inside and outside the vehicle in the complete vehicle state of the present invention is an objective testing method that includes the subjective hearing perception of the human ear.

[0073] The objective evaluation parameters of the EPB operation sound inside and outside the vehicle of the present invention include loudness, sharpness, and roughness, which ultimately determine the target system that constitutes the EPB sound evaluation.

[0074] The invention can take into account the perception of the EPB sound by the car user both inside and outside the car, and is a hybrid reliability verification method for the evaluation parameters of the EPB sound both inside and outside the car based on subjective evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 It is a flow chart of the method of the present invention.

[0076] Figure 2 This is a diagram showing the placement of the acoustic artificial head in a vehicle according to the present invention.

[0077] Figure 3 This is a diagram showing the placement of the acoustic artificial head outside the vehicle according to the present invention. DETAILED DESCRIPTION

[0078] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0079] The sound produced by the automotive electronic parking brake system (hereinafter referred to as EPB for the sake of convenience) during operation includes the sound of the parking brake motor driving the caliper to release and clamp. This paper discusses the collection and analysis methods for the above sound samples. Based on the concepts of psychoacoustic parameters such as loudness and sharpness, the correlation analysis of subjective and objective parameters is carried out in two user scenarios, inside and outside the vehicle. After obtaining the psychoacoustic evaluation parameters for different scenarios, all parameters are subjected to mixed reliability analysis for the two scenarios, first in series and then in parallel. Finally, psychoacoustic evaluation parameters suitable for both inside and outside the vehicle are obtained.

[0080] A design method for evaluating the sound of an automotive electronic parking brake system, the design method comprising the following steps:

[0081] Step 1: Collect objective sound data and subjective sound evaluation of EPB in the car;

[0082] Step 2: Collect objective sound data of EPB outside the vehicle and collect subjective sound evaluation;

[0083] Step 3: Based on the in-vehicle data and evaluation in step 1, analyze the correlation of relevant parameters;

[0084] Step 4: Based on the off-vehicle data and evaluation in step 2, analyze the correlation of relevant parameters;

[0085] Step 5: Use EPB psychoacoustics to determine the objective parameters of the correlation analysis of the vehicle interior parameters in step 3 and the correlation analysis of the vehicle exterior parameters in step 4;

[0086] Step 6: Based on the subjective sound evaluation of EPB inside the vehicle in step 1, the subjective sound evaluation of EPB outside the vehicle in step 2, and the objective sound data parameters determined in step 5, establish a subjective and objective evaluation target system for EPB.

[0087] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the objective sound data collection of the EPB in the vehicle in step 1 is specifically as follows:

[0088] Step 1.1: Adjust the driver's seat to the midpoint of each extreme position, and fix the acoustic artificial head simulator on the driver's seat, as shown in the following figure: Figure 2 As shown. The operator sits in the main driving seat at the same time;

[0089] Step 1.2: The operator depresses the brake pedal and presses the EPB button to unlock the EPB until the unlocking process is completely completed and then releases the EPB button after about 1 second.

[0090] Step 1.3: When locking, pull up the EPB button to operate the EPB lock until the locking process is completely completed and wait for about 1 second before releasing the EPB button;

[0091] Step 1.4: Repeat steps 1.2 and 1.3 three times and use an acoustic artificial head to record the sound of the system operation process.

[0092] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the subjective sound evaluation of the EPB in the vehicle is collected in step 1 as follows:

[0093] Evaluation position: driver's position;

[0094] Operation method: When the vehicle battery is fully charged and powered on, press the brake pedal and operate the EPB to unlock and lock, repeat three times;

[0095] Evaluation content: Evaluate the sound of the EPB unlocking and locking process, that is, the sound of the parking brake motor driving the caliper to release and clamp;

[0096] The subjective evaluation method uses a 10-point system, with the minimum unit of the evaluation score being 0.5 points. The scoring criteria are shown in Table 1. The average score of each evaluated sound item of the evaluation team is taken for statistics, and the final score is rounded to 0.25. It is recorded as Si1.

[0097] The scoring criteria are

[0098] 1 point: Performance evaluation: Unacceptable; Customer satisfaction: Very dissatisfied; Improvement needs: All customers feel that improvement is needed;

[0099] 2 points: Performance evaluation: Unacceptable; Customer satisfaction: Very dissatisfied; Improvement needs: All customers feel that improvement is needed;

[0100] 3 points: Performance evaluation: Unacceptable; Customer satisfaction: Very poor; Improvement needs: All customers feel that improvement is needed;

[0101] 4 points: Performance evaluation: Unacceptable; Customer satisfaction: Very poor; Improvement needs: All customers feel that improvement is needed;

[0102] 5 points: Performance evaluation: Minimum acceptance; Customer satisfaction: Slightly dissatisfied; Improvement needs: Most customers feel that improvement is needed;

[0103] 6 points: Performance evaluation: Acceptable; Customer satisfaction: Basically satisfied; Improvement needs: Picky customers;

[0104] 7 points: Performance evaluation: generally acceptable; Customer satisfaction: basically satisfied; Improvement needs: picky customers;

[0105] 8 points: Performance evaluation: Good; Customer satisfaction: Satisfied; Improvement needs: Trained personnel;

[0106] 9 points: Performance evaluation: very good; Customer satisfaction: very satisfied; Improvement needs: difficult to detect;

[0107] 10 points: Performance evaluation: excellent; Customer satisfaction: very satisfied; Improvement needs: difficult to detect.

[0108] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the acquisition of objective sound data of the EPB outside the vehicle in step 2 is specifically as follows:

[0109] Step 2.1: Place the acoustic artificial head on the left rear side of the vehicle exterior, as shown in the figure below. Figure 3 As shown; by adjusting the position of the artificial head bracket, the position of the artificial head is controlled so that the center of the face is facing the center of the left rear wheel of the vehicle, the horizontal distance between the center of the face and the outer side of the left rear wheel is 50±0.5cm, and the top of the artificial head is 170±2cm from the ground;

[0110] Step 2.2: The operator sits in the main driving seat;

[0111] Step 2.3: The operator presses the brake pedal and operates the EPB to unlock and lock, repeating this three times, and uses an acoustic artificial head to record the sound of the system operation process.

[0112] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the collection of subjective sound evaluations of the EPB outside the vehicle in step 2 is specifically as follows:

[0113] Evaluation location: Figure 3 As shown, place the acoustic artificial head on the left rear side of the vehicle. Adjust the artificial head bracket so that the center of the face faces the center of the left rear wheel of the vehicle, the horizontal distance between the center of the face and the outer side of the left rear wheel is 50±0.5cm, and the top of the artificial head is 170±2cm from the ground.

[0114] Operation method: The vehicle battery is fully charged and in the powered state. The assistant sits in the main driver's seat, steps on the brake pedal, and operates the EPB to unlock and lock, repeating this three times;

[0115] Evaluation content: The evaluator outside the vehicle evaluates the sound of the EPB unlocking and locking process, that is, the sound of the parking brake motor driving the caliper to release and clamp;

[0116] The subjective evaluation method uses a 10-point scale, with the minimum unit of the evaluation score being 0.5 points. The scoring criteria are shown in Table 1. The average score of each evaluated sound item by the evaluation team is calculated and rounded to 0.25. The final score is recorded as So1.

[0117] The scoring criteria are

[0118] 1 point: Performance evaluation: Unacceptable; Customer satisfaction: Very dissatisfied; Improvement needs: All customers feel that improvement is needed;

[0119] 2 points: Performance evaluation: Unacceptable; Customer satisfaction: Very dissatisfied; Improvement needs: All customers feel that improvement is needed;

[0120] 3 points: Performance evaluation: Unacceptable; Customer satisfaction: Very poor; Improvement needs: All customers feel that improvement is needed;

[0121] 4 points: Performance evaluation: Unacceptable; Customer satisfaction: Very poor; Improvement needs: All customers feel that improvement is needed;

[0122] 5 points: Performance evaluation: Minimum acceptance; Customer satisfaction: Slightly dissatisfied; Improvement needs: Most customers feel that improvement is needed;

[0123] 6 points: Performance evaluation: Acceptable; Customer satisfaction: Basically satisfied; Improvement needs: Picky customers;

[0124] 7 points: Performance evaluation: generally acceptable; Customer satisfaction: basically satisfied; Improvement needs: picky customers;

[0125] 8 points: Performance evaluation: Good; Customer satisfaction: Satisfied; Improvement needs: Trained personnel;

[0126] 9 points: Performance evaluation: very good; Customer satisfaction: very satisfied; Improvement needs: difficult to detect;

[0127] 10 points: Performance evaluation: excellent; Customer satisfaction: very satisfied; Improvement needs: difficult to detect.

[0128] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the analysis of the correlation between in-vehicle data and relevant evaluation parameters in step 3 specifically includes the following steps:

[0129] Step 3.1: Intercept and process the objective data of the EPB sound in the car; obtain the sound data from 0.5 seconds after the EPB button is pressed to 0.5 seconds before the button is released;

[0130] Step 3.2: Based on the objective data from step 3.1, calculate the loudness, sharpness, fluctuation, roughness, and pitch psychoacoustic parameters of the acquired sound data in the reverberant field as the initial version of the objective evaluation parameters for the in-vehicle EPB sound;

[0131] Step 3.3: Based on the preliminary version of the in-vehicle EPB sound objective evaluation parameters in step 3.2, establish the in-vehicle regression equation Si, that is, perform a correlation analysis between each preliminary version of the in-vehicle EPB sound objective evaluation parameter and the corresponding subjective evaluation score;

[0132] Step 3.4: Substitute the initial version of the in-vehicle EPB sound objective evaluation parameters into the regression equation Si in step 3.3 to calculate the in-vehicle EPB sound objective quantification result Si2;

[0133] Step 3.5: Based on the regression equation Si from step 3.3 and the objective quantification result Si2 of the in-vehicle EPB sound from step 3.4, calculate the absolute error of the in-vehicle data using the formula 1-|Si1-Si2| / Si1*100%, where Si1 is the rounded average of the evaluation panel's subjective in-vehicle scores.

[0134] Step 3.6: Based on the absolute error calculated in step 3.5, determine whether the absolute error is greater than 90%. If so, proceed to step 3.7; if not, proceed to step 3.8.

[0135] Step 3.7: If the obtained absolute error is greater than 90%, the initial in-vehicle EPB sound objective evaluation parameter is a quasi-objective evaluation parameter;

[0136] Step 3.8: If the absolute error is ≤ 90%, perform correlation analysis on other preliminary objective evaluation parameters.

[0137] Step 3.9: Establish the off-vehicle regression equation So;

[0138] Step 3.10: Substitute the quasi-objective evaluation parameters in the vehicle from step 3.7 into the off-vehicle regression equation So from step 3.9 to obtain the off-vehicle objective quantitative results Soi2 for the on-vehicle data.

[0139] Step 3.11: Calculate the absolute error using the formula 1 - |So1 - Soi2| / So1*100%, where So1 is the rounded average of the evaluation panel's subjective off-vehicle scores.

[0140] Step 3.12: Based on the absolute error calculated in step 3.11, determine whether the absolute error is greater than 80%. If so, proceed to step 3.13; if not, proceed to step 3.14;

[0141] Step 3.13: If the absolute error is greater than 80%, the in-vehicle EPB sound quasi-objective evaluation parameter is used as the final in-vehicle objective evaluation parameter;

[0142] Step 3.14: If the absolute error is ≤ 80%, then perform correlation analysis on other quasi-objective evaluation parameters.

[0143] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the analysis of the correlation between the external vehicle data and the relevant evaluation parameters in step 4 specifically includes the following steps:

[0144] Step 4.1: Intercept and process the objective data of the EPB sound outside the vehicle, and obtain the sound data from 0.5 seconds before the EPB wheel-side motor starts to operate to 0.5 seconds after the operation stops;

[0145] Step 4.2: Based on the objective data from step 4.1, calculate the loudness, sharpness, fluctuation, roughness, and pitch psychoacoustic parameters of the acquired sound data in a free field as objective evaluation parameters for the initial version of the exterior EPB sound;

[0146] Step 4.3: Based on the preliminary version of the objective evaluation parameters for exterior EPB sound in step 4.2, establish the exterior regression equation So, that is, perform a correlation analysis between each preliminary version of the objective evaluation parameters for exterior EPB sound and the corresponding subjective evaluation scores;

[0147] Step 4.4: Substitute the first-edition exterior EPB sound objective evaluation parameters into the regression equation So in step 4.3 to calculate the exterior EPB sound objective quantitative result So2;

[0148] Step 4.5: Based on the regression equation Si from step 4.3 and the objective quantification result So2 of the external EPB sound from step 4.4, calculate the absolute error of the external data using the formula 1-|So1-So2| / So1*100%;

[0149] Step 4.6: Based on the absolute error calculated in step 4.5, determine whether the absolute error is greater than 90%. If so, proceed to step 4.7; if not, proceed to step 4.8.

[0150] Step 4.7: If the obtained absolute error is greater than 90%, the initial objective evaluation parameter of the exterior EPB sound is regarded as a quasi-objective evaluation parameter;

[0151] Step 4.8: If the absolute error is ≤ 90%, perform correlation analysis on other preliminary objective evaluation parameters.

[0152] Step 4.9: Establish the in-vehicle regression equation Si;

[0153] Step 4.10: Substitute the quasi-objective evaluation parameters outside the vehicle from step 4.7 into the inside-vehicle regression equation Si from step 4.9 to obtain the inside-vehicle objective quantitative results Sio2 of the outside-vehicle data;

[0154] Step 4.11: Calculate the absolute error using the formula 1-|Si1-Sio2| / Si1*100%;

[0155] Step 4.12: Based on the absolute error calculated in step 4.11, determine whether the absolute error is greater than 80%. If so, proceed to step 4.13; if not, proceed to step 4.14;

[0156] Step 4.13: If the absolute error is greater than 80%, the quasi-objective evaluation parameter is used as the final objective evaluation parameter outside the vehicle;

[0157] Step 4.14: If the absolute error is ≤ 80%, then perform correlation analysis on other quasi-objective evaluation parameters (inside the vehicle: loudness; outside the vehicle: loudness, sharpness, and roughness).

[0158] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the objective parameters are finally determined in step 5, specifically by combining the final objective evaluation parameters inside the vehicle and the final objective evaluation parameters outside the vehicle to obtain the final EPB psychoacoustic objective parameters.

[0159] A design method for evaluating the sound of an automotive electronic parking brake system, wherein the objective parameters are finally determined in step 5 as follows:

[0160] Quasi-objective evaluation parameters:

[0161] The EPB operation sound is measured as follows: inside the vehicle: loudness; outside the vehicle: loudness, sharpness, and roughness (i.e., the quasi-objective evaluation parameters), and the final loudness parameters are obtained.

[0162] The EPB reaches the limit sound, inside the vehicle: loudness and sharpness; outside the vehicle: loudness and roughness. The final loudness, sharpness and roughness are obtained.

[0163] Final objective evaluation parameters: loudness, sharpness (limit), and roughness (limit).

[0164] (Limit) is used to describe the operating conditions under which the EPB generates sound, i.e., 'the sound generated by the EPB at the extreme position'. Other unspecified parameters are 'the sound generated by the EPB during normal operation'.

[0165] A design method for evaluating the sound of an automotive electronic parking brake system, wherein step 6 establishes a subjective and objective evaluation target system for the EPB, specifically:

[0166] According to the subjective evaluation target score of the target vehicle model, it is substituted into the in-vehicle regression equation Si and the out-vehicle regression equation So to obtain the specific value of the final objective evaluation parameter of EPB.

[0167] This invention utilizes professional sound research hardware and software (Head Acoustics' HMS series acoustic artificial heads and ArtemiS SUITE series software) to collect and calculate sound samples, introducing multiple psychoacoustic parameters such as loudness for processing and analysis. Combined with subjective evaluations, this method analyzes the subjective and objective correlations between EPB sound quality to derive objective psychoacoustic parameters that can describe EPB sound quality, thereby establishing a forward-looking EPB sound development method and process. This invention is also applicable to the sound design of other automotive components used both inside and outside the vehicle.

Claims

1. A design method for evaluating the sound of an automotive electronic parking brake system, characterized in that: The design method comprises the following steps: Step 1: Collect objective sound data and subjective sound evaluation of EPB in the car; Step 2: Collect objective sound data of EPB outside the vehicle and collect subjective sound evaluation; Step 3: Based on the in-vehicle data and evaluation in step 1, analyze the correlation of relevant parameters; The analysis of the correlation between the in-vehicle data and the relevant evaluation parameters in step 3 specifically includes the following steps: Step 3.1: intercept and process the objective data of the EPB sound in the car; Step 3.2: Based on the objective data from step 3.1, calculate the loudness, sharpness, fluctuation, roughness, and pitch psychoacoustic parameters of the acquired sound data in the reverberant field as the initial version of the objective evaluation parameters for the in-vehicle EPB sound; Step 3.3: Based on the initial version of the in-vehicle EPB sound objective evaluation parameters from step 3.2, establish the in-vehicle regression equation Si; Step 3.4: Substitute the initial version of the in-vehicle EPB sound objective evaluation parameters into the regression equation Si in step 3.3 to calculate the in-vehicle EPB sound objective quantification result Si2; Step 3.5: Based on the regression equation Si from step 3.3 and the objective quantification result Si2 of the in-vehicle EPB sound from step 3.4, calculate the absolute error of the in-vehicle data using the formula 1-|Si1-Si2| / Si1*100%, where Si1 is the rounded average of the evaluation panel's subjective in-vehicle scores. Step 3.6: Based on the absolute error calculated in step 3.5, determine whether the absolute error is greater than 90%. If so, proceed to step 3.7; if not, proceed to step 3.

8. Step 3.7: The initial in-vehicle EPB sound objective evaluation parameters are used as quasi-objective evaluation parameters; Step 3.8: Perform correlation analysis on other preliminary objective evaluation parameters; Step 3.9: Establish the off-vehicle regression equation So; Step 3.10: Substitute the quasi-objective evaluation parameters inside the vehicle into the regression equation outside the vehicle, and obtain the objective quantitative results outside the vehicle, Soi2, of the inside vehicle data. Step 3.11: Calculate the absolute error using the formula 1 - |So1 - Soi2| / So1*100%, where So1 is the rounded average of the evaluation panel's subjective off-vehicle scores. Step 3.12: Based on the absolute error calculated in step 3.11, determine whether the absolute error is greater than 80%. If so, proceed to step 3.13; if not, proceed to step 3.14; Step 3.13: The quasi-objective evaluation parameter of the EPB sound inside the vehicle is the final objective evaluation parameter inside the vehicle; Step 3.14: Perform correlation analysis on other quasi-objective evaluation parameters; Step 4: Based on the off-vehicle data and evaluation in step 2, analyze the correlation of relevant parameters; The analysis of the correlation between the external vehicle data and the relevant evaluation parameters in step 4 specifically includes the following steps: Step 4.1: intercept and process the objective data of the EPB sound outside the vehicle; Step 4.2: Based on the objective data from step 4.1, calculate the loudness, sharpness, fluctuation, roughness, and pitch psychoacoustic parameters of the acquired sound data in a free field as objective evaluation parameters for the initial version of the exterior EPB sound; Step 4.3: Based on the preliminary version of the objective evaluation parameters of the exterior EPB sound in step 4.2, establish the exterior regression equation So; Step 4.4: Substitute the first-edition exterior EPB sound objective evaluation parameters into the regression equation So in step 4.3 to calculate the exterior EPB sound objective quantitative result So2; Step 4.5: Based on the regression equation Si from step 4.3 and the objective quantification result So2 of the external EPB sound from step 4.4, calculate the absolute error of the external data using the formula 1-|So1-So2| / So1*100%; Step 4.6: Based on the absolute error calculated in step 4.5, determine whether the absolute error is greater than 90%. If so, proceed to step 4.7; if not, proceed to step 4.

8. Step 4.7: The initial objective evaluation parameters of the EPB sound outside the vehicle are used as quasi-objective evaluation parameters; Step 4.8: Perform correlation analysis on other preliminary objective evaluation parameters; Step 4.9: Establish the in-vehicle regression equation Si; Step 4.10: Substitute the quasi-objective evaluation parameters outside the vehicle into the in-vehicle regression equation Si to obtain the in-vehicle objective quantitative results Sio2 of the outside vehicle data; Step 4.11: Calculate the absolute error using the formula 1-|Si1-Sio2| / Si1*100%; Step 4.12: Based on the absolute error calculated in step 4.11, determine whether the absolute error is greater than 80%. If so, proceed to step 4.13; if not, proceed to step 4.14; Step 4.13: The quasi-objective evaluation parameter is the final objective evaluation parameter outside the vehicle; Step 4.14: Perform correlation analysis on other quasi-objective evaluation parameters; Step 5: Use EPB psychoacoustics to determine the objective parameters of the correlation analysis of the relevant parameters inside the vehicle in step 3 and the correlation analysis of the relevant parameters outside the vehicle in step 4; Step 6: Based on the subjective sound evaluation of EPB inside the vehicle in step 1, the subjective sound evaluation of EPB outside the vehicle in step 2, and the objective sound data parameters determined in step 5, a subjective and objective evaluation target system of EPB is established.

2. A method for designing the sound of an automotive electronic parking brake system according to claim 1, characterized in that: The specific steps of collecting the objective sound data of EPB in the vehicle in step 1 are as follows: Step 1.1: Adjust the driver's seat to the midpoint of each extreme position, and fix the acoustic artificial head simulator on the driver's seat. The operator also sits in the main driving seat. Step 1.2: The operator depresses the brake pedal and presses the EPB button to unlock the EPB until the unlocking process is completely completed and then releases the EPB button after about 1 second. Step 1.3: When locking, pull up the EPB button to operate the EPB lock until the locking process is completely completed and wait for about 1 second before releasing the EPB button; Step 1.4: Repeat steps 1.2 and 1.3 three times and use an acoustic artificial head to record the sound of the system operation process.

3. A method for designing the sound of an automotive electronic parking brake system according to claim 1, characterized in that: The step 1 of collecting subjective EPB sound evaluation in the vehicle is specifically as follows: Evaluation position: driver's position; Operation method: The vehicle battery is fully charged and in the powered state; step on the brake pedal, operate the EPB to unlock and lock, and repeat three times; Evaluation content: Evaluate the sound of the EPB unlocking and locking process, that is, the sound of the parking brake motor driving the caliper to release and clamp; The subjective evaluation method adopts a 10-point system, and the minimum unit of the evaluation score is 0.5 points. When taking statistics, the average score of each evaluated sound item of the evaluation team is taken, and the calculation is rounded to 0.25 as the benchmark. The final score is recorded as Si1.

4. A method for designing the sound of an automotive electronic parking brake system according to claim 1, characterized in that: The specific steps of collecting the objective sound data of the EPB outside the vehicle in step 2 are as follows: Step 2.1: Place the acoustic artificial head on the left rear side of the vehicle; Step 2.2: The operator sits in the main driving seat; Step 2.3: The operator presses the brake pedal and operates the EPB to unlock and lock, repeating this three times, and uses an acoustic artificial head to record the sound of the system operation process.

5. A method for designing the sound of an automotive electronic parking brake system according to claim 1, characterized in that: The specific collection of the subjective sound evaluation of the EPB outside the vehicle in step 2 is: Evaluation position: Place the acoustic artificial head on the left rear side of the vehicle exterior; Operation method: The vehicle battery is fully charged and in the powered-on state. The assistant sits in the main driver's seat, steps on the brake pedal, and operates the EPB to unlock and lock, repeating this three times. Evaluation content: The evaluator outside the vehicle evaluates the sound of the EPB unlocking and locking process; The subjective evaluation method adopts a 10-point system, and the minimum unit of the evaluation score is 0.5 points. When calculating the score, the average of the scores of each evaluated sound item of the evaluation team is taken, and the score is rounded to 0.25 as the basis. The final score is recorded as So1.

6. A method for designing the sound of an automotive electronic parking brake system according to claim 1, characterized in that: The final determination of the objective parameters in step 5 is specifically to combine the final objective evaluation parameters inside the vehicle and the final objective evaluation parameters outside the vehicle to obtain the final EPB psychoacoustic objective parameters.

7. A method for designing the sound of an automotive electronic parking brake system according to claim 6, characterized in that: The objective parameter is finally determined in step 5 as follows: Quasi-objective evaluation parameters: EPB operation sound, inside the car: loudness; Outside the vehicle: loudness, sharpness, roughness, and obtain the final loudness parameters; The sound of EPB reaching the limit, inside the car: loudness and sharpness; Outside the car: loudness, roughness, to get the final loudness, sharpness and roughness; Final objective evaluation parameters: loudness, sharpness of limit, and roughness of limit.

8. A method for designing the sound of an automotive electronic parking brake system according to claim 7, characterized in that: The step 6 of establishing the subjective and objective evaluation target system of EPB is as follows: According to the subjective evaluation target score of the target vehicle model, it is substituted into the in-vehicle regression equation Si and the out-vehicle regression equation So to obtain the specific value of the final objective evaluation parameter of EPB.

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