Concealed outer handle sound quality optimization method and device

Abstract

The invention relates to the technical field of vehicle sound quality, in particular to a hidden outer handle sound quality optimization method and device, and the method comprises the steps: collecting the noise of a hidden outer handle of a vehicle in the opening and closing process, so as to analyze a plurality of psychological acoustic parameters in the opening and closing process; obtaining a noise subjective score of the hidden outer handle; and analyzing relevancy between the psychoacoustic parameters and the noise subjective score to determine at least one objective evaluation item of the hidden outer handle and a corresponding objective parameter index so as to optimize the hidden outer handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item. Therefore, the problems that in the prior art, the noise of the vehicle and the outer handle of the vehicle door is optimized by independently depending on the sound pressure level for reducing the noise, it is difficult to effectively connect with the actual subjective feeling of a user on the noise, targeted optimization cannot be conducted, and the use requirements of a driver and passengers and the optimization requirements in an actual scene cannot be met are solved.

Description

Technical Field

[0001] This application relates to the field of vehicle sound quality technology, and in particular to a method and device for optimizing the sound quality of a concealed external handle. Background Technology

[0002] The NVH (Noise, Vibration, and Harshness) level of a car is an important indicator for evaluating its ride comfort. Noise, as one of the "three major public hazards" of our time, seriously affects people's driving and riding experience. The sound of door handles moving within a vehicle exhibits characteristics of both noise pressure level and sound quality; therefore, the texture of the sound from these door handle movements has gradually become an important reference point for users when purchasing a vehicle.

[0003] In related technologies, the evaluation of vehicle noise is still limited to the NVH of automobiles. When optimizing the noise of the vehicle and the door handles, optimization is often achieved solely by reducing the sound pressure level.

[0004] However, relying solely on reducing the sound pressure level to optimize the noise of vehicles and door handles in related technologies is difficult to effectively connect with users' actual subjective perception of noise, and cannot be optimized in a targeted manner. It fails to meet the usage needs of drivers and passengers and the optimization needs in actual scenarios, and urgently needs to be solved. Summary of the Invention

[0005] This application provides a method and device for optimizing the sound quality of a concealed external handle, in order to solve the problems in related technologies where relying solely on reducing the sound pressure level to optimize the noise of vehicles and door handles is difficult to effectively connect with the user's actual subjective perception of noise, and cannot be optimized in a targeted manner, thus failing to meet the usage needs of drivers and passengers and the optimization needs in actual scenarios.

[0006] The first aspect of this application provides a method for optimizing the sound quality of a concealed external handle, comprising the following steps: collecting noise from the concealed external handle of a vehicle during the opening and closing process, and analyzing multiple psychoacoustic parameters during the opening and closing process based on the noise; obtaining a subjective noise score for the concealed external handle; analyzing the correlation between the multiple psychoacoustic parameters and the subjective noise score, and determining at least one objective evaluation item of the concealed external handle and its corresponding objective parameter index based on the correlation, so as to optimize the actual index of the at least one objective evaluation item of the concealed external handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

[0007] Through the above technical means, this application embodiment can collect the sound signals received by drivers and passengers during the operation of different models of vehicle door handles, analyze the correlation between the subjective evaluation values ​​of the hidden door handles and various psychoacoustic parameters, obtain the main psychoacoustic indicators that affect users' evaluation of the hidden door handles, accurately identify the key parameters that affect users' auditory experience, and set clear quantitative targets for them, thereby improving the indicators. This makes the sound quality design, optimization and quality control process of the hidden door handles more targeted, efficient and controllable, effectively improving the auditory quality and experience of the product.

[0008] Optionally, in one embodiment of this application, the noise of the hidden external handle of the vehicle during the opening and closing process includes: identifying the power type of the vehicle; determining the noise collection conditions according to the power type of the vehicle, so as to collect the noise according to the collection conditions.

[0009] Through the above technical means, the embodiments of this application can set noise collection conditions according to the differences in vehicle power type, and then analyze multi-dimensional psychoacoustic parameters according to standard parameters to ensure that the noise collection of the hidden outdoor handle of the vehicle is accurate and interference-free, thereby ensuring that the analysis results are scientific and reliable, providing a unified standard and objective data support for the quality evaluation and optimization of the hidden outdoor handle sound, and helping to improve the professionalism and consistency of handle quality control.

[0010] Optionally, in one embodiment of this application, analyzing the correlation between the plurality of psychoacoustic parameters and the subjective noise score includes: calculating the Pearson correlation coefficient between the plurality of psychoacoustic parameters and the subjective noise score; and determining the correlation between the plurality of psychoacoustic parameters and the subjective noise score based on the Pearson correlation coefficient.

[0011] Through the above technical means, the embodiments of this application can analyze the correlation between psychoacoustic parameters and subjective noise scores by adapting the data patterns using the Pearson correlation coefficient, and filter out highly correlated psychoacoustic parameters as objective evaluation items, thereby formulating optimization goals and subjective and objective reference values. This achieves the accurate transformation of subjective listening experience into objective indicators, makes the evaluation standards unified and quantifiable, provides a clear scientific basis for optimizing the sound quality of hidden external handles, avoids blind optimization, and improves the accuracy and reliability of quality control.

[0012] Optionally, in one embodiment of this application, determining at least one objective evaluation item and its corresponding objective parameter index of the concealed external handle based on the correlation includes: screening key psychoacoustic parameters whose absolute value of the Pearson correlation coefficient is greater than a target objective value based on the plurality of psychoacoustic parameters, so as to determine the at least one objective evaluation item based on the key psychoacoustic parameters; obtaining the score value of the at least one objective evaluation item, so as to determine the objective parameter index based on the index value of the at least one objective evaluation item whose score value is greater than a target subjective value.

[0013] Through the above technical means, the embodiments of this application can transform the vague auditory perception of the hidden external handle into precise quantitative indicators through dual screening of correlation and qualified samples. This ensures that the optimized acoustic parameters are not only strongly correlated with user experience, but also that their target values ​​directly correspond to a clear subjective quality level. This helps to implement the acoustic performance optimization of the hidden external handle, making the optimization goals clear, efficient, and the results predictable.

[0014] Optionally, in one embodiment of this application, optimizing the actual index of at least one objective evaluation item of the concealed external handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item includes: adjusting the opening and closing speed of the concealed external handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

[0015] Through the above technical means, the embodiments of this application can optimize the door handle that does not meet the quality standards by adjusting the pop-up and retraction speed in a gradient manner, combined with closed-loop verification of subjective evaluation and objective testing. This accurately uncovers the correlation between speed parameters and sound quality, locks the optimal operating speed, and ensures that the optimized handle meets both subjective scoring and objective index requirements, thereby effectively improving the consistency of sound quality and user listening satisfaction.

[0016] A second aspect of this application provides a device for optimizing the sound quality of a concealed external handle, comprising: a acquisition module for acquiring noise from the concealed external handle of a vehicle during the opening and closing process, and analyzing multiple psychoacoustic parameters during the opening and closing process based on the noise; an acquisition module for acquiring a subjective noise score of the concealed external handle; and an optimization module for analyzing the correlation between the multiple psychoacoustic parameters and the subjective noise score, determining at least one objective evaluation item of the concealed external handle and its corresponding objective parameter index based on the correlation, and optimizing the actual index of the at least one objective evaluation item of the concealed external handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

[0017] Through the above technical means, this application embodiment can collect the sound signals received by drivers and passengers during the operation of different models of vehicle door handles, analyze the correlation between the subjective evaluation values ​​of the hidden door handles and various psychoacoustic parameters, obtain the main psychoacoustic indicators that affect users' evaluation of the hidden door handles, accurately identify the key parameters that affect users' auditory experience, and set clear quantitative targets for them, thereby improving the indicators. This makes the sound quality design, optimization and quality control process of the hidden door handles more targeted, efficient and controllable, effectively improving the auditory quality and experience of the product.

[0018] Optionally, in one embodiment of this application, the acquisition module includes: an identification unit for identifying the power type of the vehicle; and an acquisition unit for determining the acquisition conditions of the noise based on the power type of the vehicle, so as to acquire the noise according to the acquisition conditions.

[0019] Through the above technical means, the embodiments of this application can set noise collection conditions according to the differences in vehicle power type, and then analyze multi-dimensional psychoacoustic parameters according to standard parameters to ensure that the noise collection of the hidden outdoor handle of the vehicle is accurate and interference-free, thereby ensuring that the analysis results are scientific and reliable, providing a unified standard and objective data support for the quality evaluation and optimization of the hidden outdoor handle sound, and helping to improve the professionalism and consistency of handle quality control.

[0020] Optionally, in one embodiment of this application, the optimization module includes: a calculation unit for calculating the Pearson correlation coefficient between the plurality of psychoacoustic parameters and the noise subjective score; and a first determination unit for determining the correlation between the plurality of psychoacoustic parameters and the noise subjective score based on the Pearson correlation coefficient.

[0021] Through the above technical means, the embodiments of this application can analyze the correlation between psychoacoustic parameters and subjective noise scores by adapting the data patterns using the Pearson correlation coefficient, and filter out highly correlated psychoacoustic parameters as objective evaluation items, thereby formulating optimization goals and subjective and objective reference values. This achieves the accurate transformation of subjective listening experience into objective indicators, makes the evaluation standards unified and quantifiable, provides a clear scientific basis for optimizing the sound quality of hidden external handles, avoids blind optimization, and improves the accuracy and reliability of quality control.

[0022] Optionally, in one embodiment of this application, the optimization module includes: a screening unit, configured to screen key psychoacoustic parameters whose absolute value of the Pearson correlation coefficient is greater than a target objective value based on the plurality of psychoacoustic parameters, so as to determine the at least one objective evaluation item based on the key psychoacoustic parameters; and a second determining unit, configured to obtain the score value of the at least one objective evaluation item, so as to determine the objective parameter index based on the index value of the at least one objective evaluation item whose score value is greater than a target subjective value.

[0023] Through the above technical means, the embodiments of this application can transform the vague auditory perception of the hidden external handle into precise quantitative indicators through dual screening of correlation and qualified samples. This ensures that the optimized acoustic parameters are not only strongly correlated with user experience, but also that their target values ​​directly correspond to a clear subjective quality level. This helps to implement the acoustic performance optimization of the hidden external handle, making the optimization goals clear, efficient, and the results predictable.

[0024] Optionally, in one embodiment of this application, the optimization module includes: an adjustment unit for adjusting the opening and closing speed of the hidden external handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

[0025] Through the above technical means, the embodiments of this application can optimize the door handle that does not meet the quality standards by adjusting the pop-up and retraction speed in a gradient manner, combined with closed-loop verification of subjective evaluation and objective testing. This accurately uncovers the correlation between speed parameters and sound quality, locks the optimal operating speed, and ensures that the optimized handle meets both subjective scoring and objective index requirements, thereby effectively improving the consistency of sound quality and user listening satisfaction.

[0026] A third aspect of this application provides an electronic device, 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 hidden external handle sound quality optimization method as described in the above embodiments.

[0027] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for optimizing the sound quality of a hidden external handle.

[0028] A fifth aspect of this application provides a computer program product, including a computer program that, when executed, is used to implement the above-described method for optimizing the sound quality of a hidden external handle.

[0029] This application embodiment can collect noise analysis data from the opening and closing process of a vehicle's concealed exterior door handle to obtain multiple psychoacoustic parameters. Based on the correlation between these parameters and subjective noise scores, at least one objective evaluation item for the concealed exterior door handle and its corresponding objective parameter index are determined to optimize the actual index of at least one objective evaluation item. This allows for the analysis of the correlation between subjective evaluation values ​​of the concealed exterior door handle and various psychoacoustic parameters by collecting sound signals received by drivers and passengers during the operation of exterior door handles of different models and vehicles. The impact of each psychoacoustic parameter on the sound quality of the concealed exterior door handle is explored. By comparing objective test values ​​with subjective evaluation results, the main psychoacoustic indicators affecting user evaluation of the concealed exterior door handle are identified. Key parameters affecting user auditory perception are precisely identified, and clear quantitative targets are set for them. Improvements are then made to these indicators, making the design, optimization, and quality control process of the concealed exterior door handle more targeted, efficient, and controllable, effectively improving the product's auditory quality and premium experience. This solves the problems in related technologies where relying solely on reducing sound pressure levels to optimize vehicle and door handle noise is difficult to connect with users' actual subjective perception of noise, and cannot be optimized in a targeted manner, thus failing to meet the usage needs of drivers and passengers and the optimization needs in actual scenarios.

[0030] 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

[0031] 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 concealed external handle according to an embodiment of this application; Figure 2 A flowchart illustrating a method for optimizing the sound quality of a vehicle's concealed external handle according to an embodiment of this application; Figure 3 This is a schematic diagram of the structure of the concealed external handle sound quality optimization device provided according to an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application.

[0032] Figure label: 10-Hidden external handle sound quality optimization device; 100-Acquisition module, 200-Acquisition module and 300-Optimization module; 401-Memory, 402-Processor and 403-Communication interface. Detailed Implementation

[0033] 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.

[0034] The following describes a method and apparatus for optimizing the sound quality of a concealed external handle according to embodiments of this application, with reference to the accompanying drawings. Addressing the problem mentioned in the background art that solely relying on reducing sound pressure levels to optimize the noise of vehicles and door handles is difficult to effectively connect with the user's actual subjective perception of noise, and cannot provide targeted optimization, thus failing to meet the usage needs of drivers and passengers and the optimization requirements in real-world scenarios, this application provides a method for optimizing the sound quality of a concealed external handle. In this method, noise analysis of the concealed external handle during the opening and closing process of the vehicle can be collected to obtain multiple psychoacoustic parameters. Based on the correlation between the multiple psychoacoustic parameters and the subjective noise score, at least one objective evaluation item of the concealed external handle and its corresponding objective parameter index are determined to optimize the actual index of at least one objective evaluation item of the concealed external handle. This approach enables the collection of sound signals received by drivers and passengers during the operation of concealed door handles in different vehicle models. Correlation analysis of subjective evaluation values ​​and psychoacoustic parameters of the concealed door handles in the test vehicles was conducted to explore the impact of these parameters on the sound quality of the concealed door handles. By comparing objective test values ​​with subjective evaluation results, the main psychoacoustic indicators influencing user evaluations of concealed door handles were identified. Key parameters affecting user auditory perception were precisely pinpointed, and clear quantitative targets were set for these parameters. Improvements were then made to these indicators, making the design, optimization, and quality control of the concealed door handle's sound quality more targeted, efficient, and controllable, effectively enhancing the product's auditory quality and premium experience. This solves the problems of previous technologies that relied solely on reducing sound pressure levels to optimize vehicle and door handle noise. These limitations made it difficult to effectively connect with users' actual subjective noise perception, and targeted optimization was not possible, failing to meet the usage needs of drivers and passengers and the optimization requirements in real-world scenarios.

[0035] Specifically, Figure 1 This is a flowchart illustrating a method for optimizing the sound quality of a concealed external handle, as provided in an embodiment of this application.

[0036] like Figure 1 As shown, the method for optimizing the sound quality of the concealed external handle includes the following steps: In step S101, the noise of the vehicle's hidden external handle during the opening and closing process is collected, so as to obtain multiple psychoacoustic parameters of the opening and closing process based on the noise.

[0037] Understandably, the opening and closing process here refers to the pop-up and retraction of the vehicle's hidden outdoor handle.

[0038] In some embodiments, this application can collect the noise of the vehicle's hidden outdoor handle during the opening and closing process, and thereby analyze these noises to obtain multiple psychoacoustic parameters during the opening and closing process.

[0039] Among them, psychoacoustic parameters can be understood as quantifiable objective indicators transformed from the subjective perception of noise from the hidden outdoor handle of a vehicle by the human ear (such as "noisy" or "sharp"), including but not limited to psychoacoustic parameters such as loudness, sharpness, roughness, vibration, and A-weighted sound pressure level.

[0040] Loudness corresponds to the perceived noise level of the vehicle's hidden outdoor handle; the higher the value, the louder it feels.

[0041] Sharpness corresponds to the harshness of the noise from the vehicle's hidden outdoor handle. The more high-frequency components there are, the higher the sharpness, and the more likely it is to make the user feel uncomfortable.

[0042] Roughness corresponds to the roughness (clutter) of the noise from the vehicle's hidden outdoor handle. The higher the value, the more uneven and cluttered the sound will feel to the user.

[0043] The vibration level corresponds to the fluctuation (vibration) of the noise from the vehicle's hidden outdoor handle. For example, if the sound of the handle fluctuates when it is running, the vibration level of the handle will be relatively high.

[0044] A-weighted sound pressure level here refers to the traditional sound pressure level index, which serves as the basis and reference for noise.

[0045] This application embodiment can collect the opening and closing noise of the hidden outdoor handle and convert it into multi-dimensional quantifiable psychoacoustic parameters such as loudness and sharpness. At the same time, it combines the A-weighted sound pressure level as a basic reference, thereby transforming the vague subjective auditory perception into accurate and objective indicators. This helps to achieve a unified standard and accuracy in quality evaluation, avoid subjective bias, and comprehensively capture the characteristics of noise defects and quickly locate problems, providing a scientific basis for the quality optimization and consistency control of the hidden outdoor handle sound.

[0046] Optionally, in one embodiment of this application, collecting noise from the vehicle's concealed external handle during the opening and closing process includes: identifying the vehicle's power type; determining noise collection conditions based on the vehicle's power type, and collecting noise according to the collection conditions.

[0047] In actual implementation, considering that different vehicles have different power types, additional noise may be generated under different power types. Therefore, this application can identify the power type of the vehicle and determine the noise collection conditions of the hidden outdoor handle of the vehicle according to the power type of the vehicle, so as to collect the noise of the hidden outdoor handle of the vehicle under the collection conditions.

[0048] The sampling conditions here can be understood as specific noise sampling requirements formulated based on the vehicle's power type (pure electric / hybrid / fuel, etc.) to avoid interference from additional power noise. This is to ensure that the collected noise is only the noise from the opening and closing process of the hidden outdoor handle itself, avoiding other noise interference.

[0049] For example, this application can first determine the noise test points. In the embodiments of this application, the test points can be, but are not limited to, located at the ears of the driver in the driver's seat. The test points should be close to both sides of the headrest, and the height of the test points from the seat surface can be (70±2cm). For adjustable seats, the seat can be adjusted to the midpoint of the adjustable position.

[0050] Then, the testers can manipulate the hidden exterior door handle to perform a "pop-retract" action three times, thereby collecting the noise of the vehicle's hidden exterior door handle during the opening and closing process.

[0051] During the testing process, if the vehicle is a pure electric or hybrid vehicle without engine noise interference, that is, the vehicle's power type is pure electric or hybrid, it can be tested directly. If other power types may cause engine noise during the opening and closing of the hidden external handle, it is necessary to determine the data collection conditions for other power types and test them using an external controller under vehicle idling conditions.

[0052] Finally, this application embodiment can use relevant sound analysis software to analyze the psychoacoustic parameters such as loudness, sharpness, roughness, vibration, and A-weighted sound pressure level of the smooth operation sound (noise) during the "pop-retract" opening and closing process of the door handle.

[0053] During the analysis, this application embodiment may, but is not limited to, capture the smooth operation period of the concealed external handle for data analysis, with a data capture duration of ≥1s. The analysis parameters may, but are not limited to, setting the sound field to a reverberation field, the A-weighted sound pressure level time weighting to 20ms, and the loudness and roughness calculation methods to ISO532-1.

[0054] This application embodiment can set noise collection conditions according to the differences in vehicle power type, and then analyze multi-dimensional psychoacoustic parameters according to standard parameters to ensure accurate and interference-free noise collection of the hidden outdoor handle of the vehicle, thereby ensuring that the analysis results are scientific and reliable, providing a unified standard and objective data support for the quality evaluation and optimization of the hidden outdoor handle sound, and helping to improve the professionalism and consistency of handle quality control.

[0055] Step S102: Obtain the subjective noise score of the hidden external handle.

[0056] In some embodiments, in order to ensure the actual user experience of the vehicle's hidden external handle, this application can intuitively obtain the subjective noise score of the vehicle's hidden external handle, thereby connecting the subjective evaluation and objective evaluation of the hidden external handle.

[0057] For example, embodiments of this application may, but are not limited to, select at least five evaluators to conduct a subjective evaluation of the sound quality of the door handle operation in the vehicle's overall condition.

[0058] Similar to the noise sampling method used for the opening and closing of the vehicle's concealed exterior door handle, the evaluation position remains in the driver's seat. For adjustable seats, the seat can be adjusted to the midpoint of its adjustable position. The evaluator then operates the concealed exterior door handle from inside the vehicle, performing a "pop-and-retract" action and conducting a subjective evaluation. The evaluation focuses on the smooth operating noise during the "pop-and-retract" process of the exterior door handle.

[0059] In this embodiment of the application, the subjective evaluation method of the evaluators can adopt a 10-point system, with the smallest unit of evaluation score being 0.25 points. The final score can be set as the average of the subjective scores of multiple evaluators, and the average score is rounded to 0.25.

[0060] Table 1 is a scoring criterion table for one embodiment of this application, which may be represented as follows, but is not limited to:

[0061] It should be noted that, in the process of obtaining the subjective noise score of the hidden external handle, in order to avoid engine noise interference, the test conditions in the process of obtaining the subjective noise score should also be set according to the power type of the vehicle. That is, when the vehicle is a power type other than pure electric and hybrid, it is also necessary to test it through the external controller under the vehicle idling condition to obtain the subjective noise score of the vehicle.

[0062] This application embodiment can standardize the unified evaluation position of the driver's seat, focus on the smooth noise of opening and closing the hidden external handle, and conduct subjective evaluation using certain corresponding scoring standards. This ensures that the evaluation scenario is consistent with actual use conditions and the results are objective and consistent. It can also accurately correspond to customer satisfaction and improvement needs, providing an intuitive reference for the sound quality evaluation of the hidden outdoor handle and helping to optimize in a targeted manner to improve the user experience.

[0063] Step S103: Analyze the correlation between multiple psychoacoustic parameters and subjective noise scores to determine at least one objective evaluation item of the concealed external handle and its corresponding objective parameter index based on the correlation, so as to optimize the actual index of at least one objective evaluation item of the concealed external handle to achieve the objective parameter index corresponding to at least one objective evaluation item.

[0064] In other embodiments, after obtaining multiple psychoacoustic parameters of the noise of the vehicle's concealed external handlebar and the subjective noise ratings from evaluators, this application can analyze the correlation between the multiple psychoacoustic parameters and the subjective noise ratings to determine at least one objective evaluation item of the concealed external handlebar and its corresponding objective parameter index. Finally, based on the determined at least one objective evaluation item of the concealed external handlebar and its corresponding objective parameter index, the actual index of at least one objective evaluation item of the concealed external handlebar is optimized to achieve the objective parameter index corresponding to at least one objective evaluation item.

[0065] Here, the objective evaluation item can be understood as the type of psychoacoustic parameter that is strongly correlated with the noise of the concealed external handle, which is selected based on the correlation between multiple psychoacoustic parameters and subjective noise scores, and needs to be evaluated and monitored. For example, the loudness / sharpness / roughness / A-weighted sound pressure level obtained after screening.

[0066] Objective parameters can be understood here as specific, quantifiable numerical requirements or pass / fail lines set for each objective evaluation item.

[0067] After determining at least one objective evaluation item and its corresponding objective parameter index for the concealed external handle, the embodiments of this application can optimize the actual index of at least one objective evaluation item of the concealed external handle to achieve the objective parameter index corresponding to at least one objective evaluation item, thereby completing the quality optimization of the concealed external handle.

[0068] For example, if the objective evaluation item for the concealed external handle is determined to be loudness, and its objective parameter index is ≤20 somon, then the embodiments of this application can optimize the concealed external handle until its actual loudness index reaches the index of ≤20 somon.

[0069] Additionally, in actual implementation, for ease of use, embodiments of this application may also construct certain subjective and objective reference values ​​based on at least one objective evaluation item and its corresponding objective parameter index. Subjective and objective evaluation values ​​can be understood here as the numerical range (objective parameter index) that each key objective evaluation item should reach when the subjective noise score of the hidden external handle reaches a certain level, determined by combining at least one objective evaluation item of noise and its corresponding objective parameter index.

[0070] After constructing certain subjective and objective reference values ​​based on at least one objective evaluation item and its corresponding objective parameter index, the acoustic performance of the concealed external handle can be optimized until its acoustic performance meets the requirements of the subjective and objective reference values. Therefore, the objective evaluation items and their corresponding objective parameter indexes can be integrated into a single technical standard, facilitating implementation.

[0071] This application embodiment can transform the vague auditory perception of the vehicle's hidden external handlebars into a data-driven, precise index optimization problem by establishing a strong correlation between subjective and objective parameters. This provides clear, measurable, and repeatable quantitative standards for the sound quality design, optimization, and quality control of the hidden external handlebars, thereby systematically ensuring and improving the product's auditory experience and high-end feel.

[0072] Optionally, in one embodiment of this application, analyzing the correlation between multiple psychoacoustic parameters and subjective noise scores includes: calculating the Pearson correlation coefficient between the multiple psychoacoustic parameters and subjective noise scores; and determining the correlation between the multiple psychoacoustic parameters and subjective noise scores based on the Pearson correlation coefficient.

[0073] Based on the descriptions of other embodiments, it will be understood that this application can determine at least one objective evaluation item of the concealed external handle and its corresponding objective parameter index by analyzing the correlation between multiple psychoacoustic parameters and subjective noise scores.

[0074] In actual implementation, this application may, but is not limited to, determine the correlation between multiple psychoacoustic parameters and subjective noise scores by calculating the Pearson correlation coefficient between multiple psychoacoustic parameters and subjective noise scores, thereby identifying the main psychoacoustic indicators affecting subjective evaluation scores as objective evaluation items for the concealed external handle, and then, based on the relationship between subjective scores and objective indicators, formulate optimization target references for the concealed external handle of the car door and formulate subjective and objective reference values, etc.

[0075] Considering that both subjective noise ratings and objective psychoacoustic parameters conform to the principles of Pearson correlation analysis, this application embodiment may, but is not limited to, use the Pearson correlation coefficient for statistical analysis, using the absolute value of the final Pearson correlation coefficient to determine whether the two are correlated and the specific degree of correlation. The formula for calculating the Pearson correlation coefficient may, but is not limited to, be expressed as:

[0076] in, This is a subjective evaluation value. This is the average of subjective evaluations. To objectively evaluate the value of the parameter, The average value of the objective evaluation parameter is given by k, where k is the sample size, k = 1, 2, ..., 53.

[0077] The absolute value of P is placed between 0 and 1. Within this range, the larger the absolute value of P, the higher the correlation between the two, and vice versa.

[0078] This application embodiment can analyze the Pearson correlation coefficient, which adapts to the data pattern, to quantify the correlation between psychoacoustic parameters and subjective noise scores. It then filters out highly correlated psychoacoustic parameters as objective evaluation items, thereby formulating optimization goals and subjective and objective reference values. This not only achieves the accurate conversion of subjective listening experience into objective indicators and makes the evaluation standards unified and quantifiable, but also provides a clear scientific basis for optimizing the sound quality of hidden external handles, avoiding blind optimization and improving the accuracy and reliability of quality control.

[0079] Optionally, in one embodiment of this application, determining at least one objective evaluation item and its corresponding objective parameter index of the concealed external handle based on relevance includes: screening key psychoacoustic parameters whose absolute value of the Pearson correlation coefficient is greater than the target objective value based on multiple psychoacoustic parameters, so as to determine at least one objective evaluation item based on the key psychoacoustic parameters; obtaining the score value of the objective evaluation item, so as to determine the objective parameter index based on the index value of at least one objective evaluation item whose score value is greater than the target subjective value.

[0080] In some embodiments, this application may determine the objective evaluation items of the hidden external handle based on the absolute value (correlation) of the Pearson correlation coefficient between multiple psychoacoustic parameters and the subjective noise score, and select the key psychoacoustic parameter whose Pearson correlation coefficient is greater than the target objective value from the multiple psychoacoustic parameters.

[0081] Here, the target objective value can be understood as a pre-set critical value for the absolute value of the Pearson correlation coefficient used to screen key psychoacoustic parameters, such as 0.7.

[0082] Therefore, when the correlation between one or more psychoacoustic parameters such as loudness, sharpness, roughness, and jitter and the subjective noise score reaches 0.7, it can be defined as an objective evaluation item for the concealed external handle.

[0083] Furthermore, embodiments of this application can obtain the score values ​​of these objective evaluation items, and then determine the objective parameter index based on the index value of the objective evaluation item whose score value is greater than the target subjective value. Here, the target subjective value can be understood as the critical value of the objective parameter index of the objective evaluation item. Only objective evaluation items whose subjective score value reaches or exceeds this value will have their corresponding index value defined as an objective parameter index.

[0084] In other words, the embodiments of this application can first obtain the noise subjective score of these objective evaluation items, then view the noise subjective score of these objective evaluation items, and use the index value when the noise subjective score of these objective evaluation items is not less than a certain subjective value (such as subjective score ≥ 7 points) as the objective parameter index corresponding to each objective evaluation item.

[0085] This application embodiment can transform the vague auditory perception of the hidden external handle into precise quantitative indicators through dual screening of correlation and qualified samples. This ensures that the optimized acoustic parameters are strongly correlated with user experience, and that the target values ​​directly correspond to a clear subjective quality level. This facilitates the implementation of acoustic performance optimization work for the hidden external handle, making the optimization goals clear, efficient, and the results predictable.

[0086] Optionally, in one embodiment of this application, optimizing the actual index of at least one objective evaluation item of the concealed external handle until the actual index reaches the objective parameter index corresponding to at least one objective evaluation item includes: adjusting the opening and closing speed of the concealed external handle until the actual index reaches the objective parameter index corresponding to at least one objective evaluation item.

[0087] In other embodiments, this application may optimize the vehicle's hidden external handle by adjusting the opening and closing speed of the hidden external handle until the actual indicators of the objective evaluation items of the hidden external handle reach the objective parameter indicators of each objective evaluation item.

[0088] For example, this application can optimize the sound quality of hidden door handles that are determined to be substandard by subjective and objective evaluation, such as those with a subjective score lower than the target subjective value of 7 points, or those whose key objective parameters such as loudness and sharpness do not meet the reference indicators, by using gradient speed adjustment + closed-loop test verification.

[0089] First, based on the mechanical structure characteristics of the handle and the existing operating speed baseline, this application embodiment can set multiple pop-back speed levels in gradients, such as 0.8 times, 1.0 times, 1.2 times, etc. of the base speed. By adjusting the voltage of the handle drive motor or the control module parameters, smooth operation at different speeds can be achieved.

[0090] For each speed gear, two rounds of core tests were conducted sequentially: First, a subjective evaluation was carried out according to established specifications, with at least five evaluators operating the levers from the driver's seat (with the adjustable seat centered) to focus on the noise during smooth operation and give a score on a scale of 10 (minimum unit of 0.25 points). The final average score was rounded off and used as the subjective performance for that gear. Then, an objective test was conducted, collecting noise data at both ears of the driver again, capturing a smooth operation period of ≥1 second, and calculating the core psychoacoustic parameters according to ISO 532-1 standards and parameters such as reverberation field and 20ms time weighting.

[0091] Based on the test results of multiple speed settings, the correlation between speed adjustment and subjective and objective indicators was analyzed. For example, appropriately reducing the speed can reduce loudness and optimize sharpness. The speed parameters were iteratively adjusted and the test was repeated until the sound quality of the controller met certain requirements: subjective score ≥ 7 points and all key objective parameters met the standards. Finally, the optimal pop-up and retraction speed parameters were locked to complete the quality optimization of the hidden external controller.

[0092] This application embodiment can adjust the pop-up and retraction speed by gradient adjustment, and optimize the substandard door handle by combining subjective evaluation and objective testing in a closed-loop verification process. This can not only accurately discover the correlation between speed parameters and sound quality and lock the optimal operating speed, but also ensure that the optimized handle meets both subjective scoring and objective indicator requirements, thus effectively improving the consistency of sound quality and user listening satisfaction.

[0093] The following is a detailed description of the method for optimizing the sound quality of the concealed external handle in this application, using a specific embodiment.

[0094] Figure 2 This is a flowchart of a method for optimizing the sound quality of a vehicle's concealed external handle according to an embodiment of this application, as shown below. Figure 2 As shown: (1) Objective test of the hidden external door handle in the whole vehicle state Different models and types of concealed exterior door handles were selected, and the sound quality of the exterior door handles was objectively tested in the whole vehicle state: the tester operated the concealed exterior door handle to "pop out and retract" three times and collected the noise.

[0095] (2) Objective test data of the external handle Using ArtemiS SUITE software, we analyzed psychoacoustic parameters such as loudness, sharpness, roughness, vibration, and A-weighted sound pressure level of the sound during the smooth operation of the door handle's "pop-out" and "retract" movements.

[0096] (3) Subjective evaluation of the sound quality of the external handle At least five evaluators were selected to conduct a subjective evaluation of the sound quality of the door handle operation in the vehicle's overall condition: 1. The evaluation position was located in the driver's seat, and for adjustable seats, the seat was located at the midpoint of the adjustable position; 2. Evaluators conducted a subjective evaluation by operating the concealed door handle "pop-back" from inside the vehicle; 3. The evaluation content was the smooth operating noise during the "pop-back" process of the door handle; 4. The subjective evaluation method adopted a 10-point scale, with the smallest unit of evaluation score being 0.25 points. The final score was the average of the subjective scores from each evaluation group, and the average score was rounded to 0.25.

[0097] (4) Establishment of reference values ​​for subjective and objective parameters Establish a link between subjective and objective test results, conduct correlation analysis, and identify the main psychoacoustic indicators affecting subjective evaluation scores. Based on the relationship between subjective scores and objective indicators, formulate reference values ​​for subjective and objective parameters of the concealed exterior door handle.

[0098] The correlation between subjective evaluation values ​​and objective psychoacoustic parameters was analyzed. These two data types conform to the principles of Pearson correlation analysis. The Pearson coefficient was used for statistical analysis to determine whether there is a correlation between them. The Pearson coefficient calculation model can be, but is not limited to, expressed as:

[0099] in, This is a subjective evaluation value; This represents the average of subjective evaluations. To objectively evaluate the value of the parameters; is the average value of the objective evaluation parameters; k is the sample size, k = 1, 2, ..., 53.

[0100] The absolute value of P is placed between 0 and 1. Within this range, the larger the absolute value of P, the higher the correlation between the two, and vice versa.

[0101] The objective parameters of psychoacoustics with an absolute value of P greater than 0.7 are taken as objective evaluation items, and the values ​​corresponding to each evaluation item with a subjective evaluation score of not less than 7 and a subjective evaluation score of 7 are defined as objective parameter indicators.

[0102] (5) Optimization of the sound quality of the exterior door handles The sound quality of the concealed exterior door handles is optimized to meet established subjective and objective reference values. Specifically, for the exterior door handles requiring optimization, the sound quality is improved by adjusting the speed at which the handle pops out and retracts, through both subjective evaluation and objective testing, to ensure that the required objective indicators are met.

[0103] The method for optimizing the sound quality of a concealed external door handle according to the embodiments of this application can collect noise analysis data from the opening and closing process of the concealed external door handle of a vehicle to obtain multiple psychoacoustic parameters. Based on the correlation between these psychoacoustic parameters and subjective noise scores, at least one objective evaluation item and its corresponding objective parameter index are determined to optimize the actual index of at least one objective evaluation item of the concealed external door handle. This method achieves the goal of collecting sound signals received by drivers and passengers during the operation of different models of external door handles, analyzing the correlation between subjective evaluation values ​​of the concealed external door handle of the test vehicle and various psychoacoustic parameters, exploring the impact of each psychoacoustic parameter on the sound quality of the concealed external door handle, and identifying the main psychoacoustic indicators affecting users' evaluation of the concealed external door handle by comparing objective test values ​​with subjective evaluation results. It accurately identifies key parameters affecting users' auditory experience and sets clear quantitative targets for them, thereby improving these indicators. This makes the design, optimization, and quality control process of the concealed external door handle more targeted, efficient, and controllable, effectively improving the auditory quality and premium experience of the product. This solves the problems in related technologies where relying solely on reducing sound pressure levels to optimize vehicle and door handle noise is difficult to connect with users' actual subjective perception of noise, and cannot be optimized in a targeted manner, thus failing to meet the usage needs of drivers and passengers and the optimization needs in actual scenarios.

[0104] Next, referring to the accompanying drawings, a hidden external handle sound quality optimization device according to an embodiment of this application is described.

[0105] Figure 3 This is a schematic diagram of the structure of the hidden external handle sound quality optimization device according to an embodiment of this application.

[0106] like Figure 3 As shown, the hidden external handle sound quality optimization device 10 includes: a collection module 100, an acquisition module 200, and an optimization module 300.

[0107] The system includes a data acquisition module 100 for collecting noise from the vehicle's concealed external handle during the opening and closing process, and analyzing multiple psychoacoustic parameters based on the noise; an acquisition module 200 for acquiring a subjective noise score of the concealed external handle; and an optimization module 300 for analyzing the correlation between the multiple psychoacoustic parameters and the subjective noise score, determining at least one objective evaluation item and its corresponding objective parameter index of the concealed external handle based on the correlation, and optimizing the actual index of at least one objective evaluation item of the concealed external handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

[0108] The acquisition module 100 includes: an identification unit for identifying the power type of the vehicle; and an acquisition unit for determining the noise acquisition conditions based on the power type of the vehicle, so as to acquire noise according to the acquisition conditions.

[0109] The optimization module 300 includes: a calculation unit for calculating the Pearson correlation coefficient between multiple psychoacoustic parameters and subjective noise scores; and a first determination unit for determining the correlation between the multiple psychoacoustic parameters and subjective noise scores based on the Pearson correlation coefficient.

[0110] The optimization module 300 includes: a screening unit, used to screen key psychoacoustic parameters whose absolute value of the Pearson correlation coefficient is greater than the target objective value based on multiple psychoacoustic parameters, so as to determine at least one objective evaluation item based on the key psychoacoustic parameters; and a second determination unit, used to obtain the score value of the objective evaluation item, so as to determine the objective parameter index based on the index value of at least one objective evaluation item whose score value is greater than the target subjective value.

[0111] The optimization module 300 includes an adjustment unit for adjusting the opening and closing speed of the concealed external handle until the actual indicators reach at least one objective parameter indicator corresponding to an objective evaluation item.

[0112] It should be noted that the foregoing explanation of the embodiment of the method for optimizing the sound quality of a concealed external handle also applies to the device for optimizing the sound quality of a concealed external handle in this embodiment, and will not be repeated here.

[0113] The hidden external handle sound quality optimization device proposed in this application can collect noise analysis data from the vehicle's hidden external handle during the opening and closing process to obtain multiple psychoacoustic parameters. Based on the correlation between these psychoacoustic parameters and subjective noise scores, at least one objective evaluation item and its corresponding objective parameter index are determined to optimize the actual index of at least one objective evaluation item of the hidden external handle. This allows for the analysis of the correlation between subjective evaluation values ​​of the hidden external handle and various psychoacoustic parameters by collecting sound signals received by drivers and passengers during the operation of different vehicle models and types of external handles. The impact of each psychoacoustic parameter on the sound quality of the hidden external handle is explored. By comparing objective test values ​​with subjective evaluation results, the main psychoacoustic indicators affecting users' evaluation of the hidden external handle are identified. Key parameters affecting users' auditory experience are precisely identified, and clear quantitative targets are set for them. Improvements are then made to these indicators, making the sound quality design, optimization, and quality control process of the hidden external handle more targeted, efficient, and controllable, effectively improving the product's auditory quality and premium experience. This solves the problems in related technologies where relying solely on reducing sound pressure levels to optimize vehicle and door handle noise is difficult to connect with users' actual subjective perception of noise, and cannot be optimized in a targeted manner, thus failing to meet the usage needs of drivers and passengers and the optimization needs in actual scenarios.

[0114] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0115] When the processor 402 executes the program, it implements the method for optimizing the sound quality of the hidden external handle provided in the above embodiments.

[0116] Furthermore, electronic devices also include: Communication interface 403 is used for communication between memory 401 and processor 402.

[0117] The memory 401 is used to store computer programs that can run on the processor 402.

[0118] Memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0119] If the memory 401, processor 402, and communication interface 403 are implemented independently, then the communication interface 403, memory 401, and processor 402 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized into address buses, data buses, control buses, etc. For ease of representation, Figure 4 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.

[0120] Optionally, in a specific implementation, if the memory 401, processor 402, and communication interface 403 are integrated on a single chip, then the memory 401, processor 402, and communication interface 403 can communicate with each other through an internal interface.

[0121] Processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0122] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for optimizing the sound quality of a hidden external handle.

[0123] This application also provides a computer program product, including a computer program that can run computer instructions. When the computer instructions are executed by a processor, they implement the hidden external handle sound quality optimization method provided in this application.

[0124] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is 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.

[0125] 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.

[0126] 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 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.

[0127] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0128] 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. If implemented in hardware, as in another embodiment, it can be implemented using any one or more 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 (PGAs), field-programmable gate arrays (FPGAs), etc.

[0129] 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.

[0130] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0131] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. 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 concealed external handle, characterized in that, Includes the following steps: The noise of the vehicle's concealed external handle during the opening and closing process is collected, and based on the noise, multiple psychoacoustic parameters of the opening and closing process are analyzed. Obtain a subjective noise score for the concealed external handle; The correlation between the plurality of psychoacoustic parameters and the subjective noise score is analyzed to determine at least one objective evaluation item of the concealed external handle and its corresponding objective parameter index based on the correlation, so as to optimize the actual index of the at least one objective evaluation item of the concealed external handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

2. The method according to claim 1, characterized in that, The noise from the hidden external handle of the vehicle during opening and closing includes: Identify the power type of the vehicle; The noise collection conditions are determined based on the vehicle's power type, and the noise is collected according to the collection conditions.

3. The method according to claim 1, characterized in that, The analysis of the correlation between the multiple psychoacoustic parameters and the subjective noise rating includes: Calculate the Pearson correlation coefficient between the plurality of psychoacoustic parameters and the subjective noise score; The correlation between the plurality of psychoacoustic parameters and the subjective noise score is determined based on the Pearson correlation coefficient.

4. The method according to claim 3, characterized in that, The step of determining at least one objective evaluation item and its corresponding objective parameter index of the concealed external handle based on the correlation includes: Based on the multiple psychoacoustic parameters, key psychoacoustic parameters whose absolute values ​​of the Pearson correlation coefficients are greater than the target objective value are selected, so as to determine the at least one objective evaluation item according to the key psychoacoustic parameters. Obtain the score value of the at least one objective evaluation item, and determine the objective parameter index based on the index value of the at least one objective evaluation item whose score value is greater than the target subjective value.

5. The method according to claim 1, characterized in that, The optimization of at least one objective evaluation item of the concealed external handle, until the actual indicator reaches the objective parameter indicator corresponding to the at least one objective evaluation item, includes: Adjust the opening and closing speed of the concealed external handle until the actual index reaches the objective parameter index corresponding to at least one objective evaluation item.

6. A concealed external handle sound quality optimization device, characterized in that, include: The acquisition module is used to acquire the noise of the vehicle's hidden external handle during the opening and closing process, so as to analyze multiple psychoacoustic parameters of the opening and closing process based on the noise. The acquisition module is used to acquire the noise subjective score of the hidden external handle; An optimization module is used to analyze the correlation between the plurality of psychoacoustic parameters and the subjective noise score, so as to determine at least one objective evaluation item of the hidden external handle and its corresponding objective parameter index based on the correlation, so as to optimize the actual index of at least one objective evaluation item of the hidden external handle until the actual index reaches the objective parameter index corresponding to the at least one objective evaluation item.

7. The apparatus according to claim 6, characterized in that, The acquisition module includes: An identification unit is used to identify the power type of the vehicle; The acquisition unit is used to determine the acquisition conditions of the noise based on the power type of the vehicle, so as to acquire the noise according to the acquisition conditions.

8. An electronic device, characterized in that, include: 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 method for optimizing the sound quality of a concealed external handle as described in any one of claims 1-5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the method for optimizing the sound quality of the concealed external handle as described in any one of claims 1-5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed, it is used to implement the method for optimizing the sound quality of the concealed external handle as described in any one of claims 1-5.

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