Automobile electric refrigerator sound quality evaluation method, device, medium and equipment

Abstract

This application relates to the field of acoustic quality design technology for automotive electric refrigerators, and particularly to a method, device, medium, and equipment for evaluating the acoustic quality of automotive electric refrigerators. The method includes: conducting an objective evaluation of the operating acoustic quality of the electric refrigerator under vehicle conditions to obtain an average value of objective evaluation parameters; conducting a subjective evaluation of the operating acoustic quality of the electric refrigerator under vehicle conditions to obtain an average value of subjective evaluation parameters; performing a correlation analysis on the average values ​​of objective and subjective evaluation parameters to obtain an average index of objective and subjective parameters; and adjusting the operating acoustic quality of the electric refrigerator based on the average index of objective and subjective parameters to obtain an optimized operating acoustic quality scheme for the electric refrigerator. This solves the problem that existing automotive acoustic quality evaluation methods lack specific evaluation methods for the unique acoustic characteristics of electric refrigerators, making it difficult to optimize and improve electric refrigerators in a targeted manner, thus hindering the improvement of acoustic quality and user experience.

Description

Technical Field

[0001] This application relates to the field of acoustic quality design technology for automotive electric refrigerators, and in particular to a method, apparatus, medium and equipment for evaluating the acoustic quality of automotive electric refrigerators. Background Technology

[0002] Traditional sound quality evaluation often focuses on the NVH performance of the engine or the entire vehicle. For example, related technology one proposes a method for testing and evaluating the sound quality of automotive electrical components, analyzing the impact of different acoustic parameters, such as characteristic loudness, roughness, and fluctuation, on human hearing. By establishing the relationship between subjective evaluation indicators and objective parameters, it sets subjective and objective evaluation goals for the sound quality of electrical components. Related technology two proposes a method for evaluating and optimizing the sound quality of automotive electric seats. It determines objective quantitative evaluation parameters by using subjective evaluation scores and objective test data for the seats, and then determines objective evaluation results and indicators based on these parameters. Related technology three proposes an in-vehicle sound quality testing method that simulates and analyzes the sound quality of window regulators received by the driver to find the most suitable sound quality for the driver.

[0003] However, none of these solutions have a specific evaluation method for the unique acoustic characteristics of electric refrigerators, making it difficult to optimize and improve electric refrigerators in a targeted manner, and thus difficult to improve quality and enhance user experience. Summary of the Invention

[0004] This application provides a method, apparatus, medium, and equipment for evaluating the sound quality of automotive electric refrigerators, in order to solve the problems that existing automotive sound quality evaluation methods lack specific evaluation methods for the special acoustic characteristics of electric refrigerators, making it difficult to optimize and improve electric refrigerators in a targeted manner, and thus making it difficult to improve sound quality and enhance user experience.

[0005] The first aspect of this application provides a method for optimizing the sound quality of an automotive electric refrigerator, comprising the following steps: An objective evaluation of the sound quality of the electric refrigerator during operation was conducted in the condition of the entire vehicle to obtain the average value of the objective evaluation parameters. Subjective evaluation of the operating sound quality of the electric refrigerator was conducted under vehicle conditions to obtain the average subjective evaluation value. A correlation analysis is performed on the average value of the objective evaluation parameters and the average value of the subjective evaluation to obtain the average index of the objective and subjective parameters. The operating sound quality of the electric refrigerator is adjusted based on the average index of the subjective and objective parameters to obtain an optimized operating sound quality scheme for the electric refrigerator.

[0006] Optionally, the objective evaluation of the operating sound quality of the electric refrigerator under vehicle conditions to obtain the average value of the objective evaluation parameters includes: Simulate real-world user scenarios to control the operation of an electric refrigerator, and collect sound data at preset locations within the target vehicle; The psychoacoustic parameters in the sound data are processed to obtain the average value of the objective evaluation parameters.

[0007] Optionally, the preset position is located at the ears of the passenger on the right side of the second row, close to both sides of the headrest.

[0008] Optionally, the psychoacoustic parameters include at least one of the following: loudness, sharpness, roughness, jitter, and A-weighted sound pressure level.

[0009] A second aspect of this application provides an optimization device for evaluating the sound quality of an automotive electric refrigerator, comprising: The objective evaluation module is used to objectively evaluate the operating sound quality of the electric refrigerator under the condition of the whole vehicle, so as to obtain the average value of the objective evaluation parameters. The subjective evaluation module is used to subjectively evaluate the operating sound quality of the electric refrigerator in the whole vehicle state, so as to obtain the average subjective evaluation value. The correlation analysis module is used to perform correlation analysis on the average value of the objective evaluation parameters and the average value of the subjective evaluation parameters to obtain the average index of the objective and subjective parameters. The adjustment module is used to adjust the operating sound quality of the electric refrigerator based on the average index of the subjective and objective parameters, so as to obtain an optimized operating sound quality scheme for the electric refrigerator.

[0010] Optionally, the objective evaluation module includes: The simulation and acquisition unit is used to simulate the operation of the electric refrigerator in a real user scenario in order to collect sound data at a preset location in the target vehicle. The processing unit is used to process the psychoacoustic parameters in the sound data to obtain the average value of the objective evaluation parameters.

[0011] Optionally, the preset position is located at the ears of the passenger on the right side of the second row, close to both sides of the headrest.

[0012] Optionally, the psychoacoustic parameters include at least one of the following: loudness, sharpness, roughness, jitter, and A-weighted sound pressure level.

[0013] 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 method for optimizing the sound quality of an automotive electric refrigerator as described in the above embodiments.

[0014] 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 an automotive electric refrigerator.

[0015] The method, apparatus, medium, and equipment for evaluating the sound quality of automotive electric refrigerators proposed in this application take electric refrigerators as the research object. By collecting sound signals received by drivers and passengers during the operation of electric refrigerators of different models and types, the correlation analysis between the subjective evaluation values ​​of the electric refrigerators in the test vehicles and various psychoacoustic parameters is conducted to explore the influence of each psychoacoustic parameter on the sound quality of the electric refrigerators. By comparing the objective test values ​​with the subjective evaluation results, the main psychoacoustic indicators affecting users' evaluation of electric refrigerators are identified, and improvements are made to these indicators to improve sound quality and enhance user experience.

[0016] 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

[0017] 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 illustrating a method for optimizing the sound quality of an automotive electric refrigerator according to an embodiment of this application; Figure 2 This is a schematic diagram illustrating the specific implementation of a method for optimizing the sound quality of an automotive electric refrigerator according to an embodiment of this application; Figure 3 This is a block diagram of a device for optimizing the sound quality of an automotive electric refrigerator according to an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application.

[0018] Explanation of reference numerals in the attached figures: 30-Optimization device for sound quality of automotive electric refrigerator, 301-Objective evaluation module, 302-Subjective evaluation module, 303-Correlation analysis module, 304-Adjustment module, 401-Memory, 402-Processor, 403-Communication interface. Detailed Implementation

[0019] 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.

[0020] The following description, with reference to the accompanying drawings, describes a method, apparatus, medium, and device for evaluating the acoustic quality of an automotive electric refrigerator according to embodiments of this application.

[0021] Figure 1This is a flowchart illustrating a method for evaluating the sound quality of an automotive electric refrigerator, as provided in an embodiment of this application.

[0022] like Figure 1 As shown, the method for evaluating the sound quality of an automotive electric refrigerator includes the following steps: In step S101, an objective evaluation of the sound quality of the electric refrigerator during operation is performed under the condition of the whole vehicle to obtain the average value of the objective evaluation parameters.

[0023] In some embodiments, an objective evaluation of the operating sound quality of the electric refrigerator is performed in the whole vehicle state to obtain the average value of the objective evaluation parameters, including: Simulate real-world user scenarios to control the operation of an electric refrigerator, and collect sound data at preset locations within the target vehicle; The psychoacoustic parameters in the sound data are processed to obtain the average value of the objective evaluation parameters.

[0024] In some embodiments, the preset position is located at the ears of the passenger on the right side of the second row, close to both sides of the headrest.

[0025] In some embodiments, psychoacoustic parameters include at least one of loudness, sharpness, roughness, jitter, and A-weighted sound pressure level.

[0026] In actual implementation, such as Figure 2 As shown, different models and types of electric refrigerators were selected, and the sound quality of the electric refrigerators was objectively tested under vehicle conditions. The specific test process is as follows: (1) The measuring point is set at the ears of the passenger on the right side of the second row, close to both sides of the headrest, and the height of the measuring point from the seat surface is (70±2cm). For adjustable seats, the seat is located at the midpoint of the adjustable position.

[0027] (2) The testers simulated the real-life usage scenario of the user and operated the electric refrigerator to "open and close" three times, and collected sound data.

[0028] Understandably, if the vehicle is a pure electric or hybrid vehicle without engine noise interference, it can be tested directly during the test. If the electric refrigerator has engine noise during operation, the test can be conducted under the vehicle's idling condition.

[0029] (3) Using ArtemiS SUITE software, the psychoacoustic parameters of the sound during the "open-close" smooth operation of the electric refrigerator, such as loudness, sharpness, roughness, vibration, and A-weighted sound pressure level, were analyzed, and the average value of the objective evaluation parameters could be calculated. During the analysis, data analysis was performed on the smooth operation period of the electric refrigerator, with a data extraction time of ≥1s. In the analysis parameter settings, the sound field was set to reverberation field, the A-weighted sound pressure level time weighting was set to 20ms, and the loudness and roughness calculation methods were set to ISO532-1.

[0030] In step S102, a subjective evaluation of the sound quality of the electric refrigerator during operation is performed under the condition of the whole vehicle to obtain the average value of the subjective evaluation.

[0031] In practice, at least five evaluators should be selected. A subjective evaluation of the operating sound quality of the electric refrigerator will be conducted in its entirety. The specific evaluation process is as follows: (1) The evaluation position is set at the right passenger position in the second row. For adjustable seats, the adjustable seat is located at the midpoint of the adjustable position.

[0032] (2) Evaluators conducted a subjective evaluation by operating the electric refrigerator "on-off" in a simulated real-world user scenario inside the vehicle. The evaluation content included the stable operating noise of the electric refrigerator during the "on-off" process. A 10-point scale was used for the subjective evaluation, with the smallest unit of 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. Specific breast cancer scoring criteria are shown in Table 1.

[0033] Table 1. Rating Description Table

[0034] In step S103, a correlation analysis is performed on the average value of the objective evaluation parameters and the average value of the subjective evaluation parameters to obtain the average index of the objective and subjective parameters.

[0035] In step S104, the operating sound quality of the electric refrigerator is adjusted according to the average index of subjective and objective parameters to obtain an optimized operating sound quality scheme for the electric refrigerator.

[0036] In actual implementation, such as Figure 2 As shown, a correlation analysis was conducted to establish a link between subjective scores and objective indicators in the test results, identify the main psychoacoustic indicators that affect subjective evaluation scores, and then formulate reference values ​​for subjective and objective parameters of electric refrigerators.

[0037] Specifically, the correlation between subjective evaluation values ​​and objective psychoacoustic parameters is analyzed. These two data types conform to the principles of Pearson correlation analysis; therefore, the Pearson coefficient can be used for statistical analysis to determine whether there is a correlation between them. The Pearson coefficient calculation model is...

[0038] In the formula, This is the correlation value. This is a subjective evaluation value. This is the average of subjective evaluations. To objectively evaluate the value of the parameter, To objectively evaluate the average value of the parameters, For the sample size, =1, 2, ..., 53.

[0039] like If the absolute value of R is placed between 0 and 1, then the larger the absolute value of R in this interval, the higher the correlation between the two, and vice versa.

[0040] like If the absolute value is greater than 0.7, then the psychoacoustic objective parameters will be used as objective evaluation items, and the subjective evaluation score of the electric refrigerator should be no less than 7 points, and the values ​​corresponding to each evaluation item with a subjective evaluation score of 7 will be objective parameter indicators.

[0041] Finally, the operating sound quality of the electric refrigerator was optimized based on the established subjective and objective reference values ​​to achieve the set reference values. Specifically, for the electric refrigerators requiring optimization, the sound quality was optimized by adjusting the opening and closing speed of the refrigerators, and subjective evaluation and objective testing were conducted to ensure that they met the required objective parameter indicators.

[0042] In summary, the optimization method for evaluating the sound quality of automotive electric refrigerators proposed in this application takes electric refrigerators as the research object. By collecting sound signals received by drivers and passengers during the operation of electric refrigerators of different models and types, the correlation between the subjective evaluation values ​​of the electric refrigerators in the test vehicles and various psychoacoustic parameters is analyzed. The influence of each psychoacoustic parameter on the sound quality of the electric refrigerator is explored. By comparing the objective test values ​​with the subjective evaluation results, the main psychoacoustic indicators affecting users' evaluation of electric refrigerators are identified, and improvements are made to these indicators, thereby improving sound quality and enhancing user experience.

[0043] Next, referring to the accompanying drawings, an optimization device for evaluating the sound quality of an automotive electric refrigerator according to an embodiment of this application is described.

[0044] Figure 3 This is a block diagram of an optimization device for evaluating the sound quality of an automotive electric refrigerator, as proposed in an embodiment of this application.

[0045] like Figure 3 As shown, the optimization device 30 for evaluating the sound quality of the car electric refrigerator includes: an objective evaluation module 301, a subjective evaluation module 302, a correlation analysis module 303, and an adjustment module 304.

[0046] The system comprises the following modules: an objective evaluation module 301, which performs an objective evaluation of the sound quality of the electric refrigerator under vehicle conditions to obtain the average value of the objective evaluation parameters; a subjective evaluation module 302, which performs a subjective evaluation of the sound quality of the electric refrigerator under vehicle conditions to obtain the average value of the subjective evaluation; a correlation analysis module 303, which performs a correlation analysis between the average value of the objective evaluation parameters and the average value of the subjective evaluation to obtain the average index of the objective and subjective parameters; and an adjustment module 304, which adjusts the sound quality of the electric refrigerator based on the average index of the objective and subjective parameters to obtain an optimized sound quality scheme for the electric refrigerator.

[0047] In some embodiments, the objective evaluation module 301 includes: The simulation and acquisition unit is used to simulate the operation of the electric refrigerator in a real user scenario in order to collect sound data at a preset location in the target vehicle. The processing unit is used to process the psychoacoustic parameters in the sound data to obtain the average value of the objective evaluation parameters.

[0048] In some embodiments, the preset position is located at the ears of the passenger on the right side of the second row, close to both sides of the headrest.

[0049] In some embodiments, psychoacoustic parameters include at least one of loudness, sharpness, roughness, jitter, and A-weighted sound pressure level.

[0050] It should be noted that the explanation of the aforementioned embodiment of the optimization method for evaluating the sound quality of an automotive electric refrigerator also applies to the optimization device for evaluating the sound quality of an automotive electric refrigerator in this embodiment, and will not be repeated here.

[0051] The optimization device for evaluating the sound quality of automotive electric refrigerators proposed in this application takes electric refrigerators as the research object. By collecting sound signals received by drivers and passengers during the operation of electric refrigerators of different models and types, the correlation analysis between the subjective evaluation values ​​of the electric refrigerators in the test vehicles and various psychoacoustic parameters is conducted to explore the influence of each psychoacoustic parameter on the sound quality of the electric refrigerators. By comparing the objective test values ​​with the subjective evaluation results, the main psychoacoustic indicators affecting users' evaluation of electric refrigerators are identified, and improvements are made to these indicators to improve sound quality and enhance user experience.

[0052] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0053] The electronic device may include: a memory 401, a processor 402, and a computer program stored on the memory 401 and capable of running on the processor 402.

[0054] When the processor 402 executes the program, it implements the method for optimizing the sound quality of the car electric refrigerator provided in the above embodiments.

[0055] Furthermore, electronic devices also include: Communication interface 403 is used for communication between memory 401 and processor 402.

[0056] The memory 401 is used to store computer programs that can run on the processor 402.

[0057] Memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0058] 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 as 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.

[0059] 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.

[0060] 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.

[0061] 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 an automotive electric refrigerator.

[0062] 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.

[0063] 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.

[0064] 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.

[0065] 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.

[0066] 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 a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0067] 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.

[0068] 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.

[0069] 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 an automotive electric refrigerator, characterized in that, Includes the following steps: An objective evaluation of the sound quality of the electric refrigerator during operation was conducted in the condition of the entire vehicle to obtain the average value of the objective evaluation parameters. Subjective evaluation of the operating sound quality of the electric refrigerator was conducted in the vehicle state to obtain the average subjective evaluation value. A correlation analysis is performed on the average value of the objective evaluation parameters and the average value of the subjective evaluation to obtain the average index of the objective and subjective parameters. The operating sound quality of the electric refrigerator is adjusted according to the average index of the subjective and objective parameters to obtain an optimized operating sound quality scheme for the electric refrigerator.

2. The method for optimizing the sound quality of an automotive electric refrigerator according to claim 1, characterized in that, The objective evaluation of the operating sound quality of the electric refrigerator under vehicle conditions, to obtain the average value of the objective evaluation parameters, includes: Simulate real-world user scenarios to control the operation of an electric refrigerator, and collect sound data at preset locations within the target vehicle; The psychoacoustic parameters in the sound data are processed to obtain the average value of the objective evaluation parameters.

3. The method for optimizing the sound quality of an automotive electric refrigerator according to claim 2, characterized in that, The preset position is located at the ears of the passenger on the right side of the second row, close to both sides of the headrest.

4. The method for optimizing the sound quality of an automotive electric refrigerator according to claim 2, characterized in that, The psychoacoustic parameters include at least one of the following: loudness, sharpness, roughness, jitter, and A-weighted sound pressure level.

5. An optimization device for evaluating the sound quality of an automotive electric refrigerator, characterized in that, include: The objective evaluation module is used to objectively evaluate the operating sound quality of the electric refrigerator under the condition of the whole vehicle, so as to obtain the average value of the objective evaluation parameters. The subjective evaluation module is used to subjectively evaluate the operating sound quality of the electric refrigerator in the whole vehicle state, so as to obtain the average subjective evaluation value. The correlation analysis module is used to perform correlation analysis on the average value of the objective evaluation parameters and the average value of the subjective evaluation parameters to obtain the average index of the objective and subjective parameters. The adjustment module is used to adjust the operating sound quality of the electric refrigerator based on the average index of the subjective and objective parameters, so as to obtain an optimized operating sound quality scheme for the electric refrigerator.

6. The optimization device for evaluating the sound quality of an automotive electric refrigerator according to claim 5, characterized in that, The objective evaluation module includes: The simulation and acquisition unit is used to simulate the operation of the electric refrigerator in a real user scenario in order to collect sound data at a preset location in the target vehicle. The processing unit is used to process the psychoacoustic parameters in the sound data to obtain the average value of the objective evaluation parameters.

7. The optimization device for evaluating the sound quality of an automotive electric refrigerator according to claim 6, characterized in that, The preset position is located at the ears of the passenger on the right side of the second row, close to both sides of the headrest.

8. The optimization device for evaluating the sound quality of an automotive electric refrigerator according to claim 6, characterized in that, The psychoacoustic parameters include at least one of the following: loudness, sharpness, roughness, jitter, and A-weighted sound pressure level.

9. 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 an automotive electric refrigerator as described in any one of claims 1-4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the method for optimizing the sound quality of an automotive electric refrigerator as described in any one of claims 1-4.

Images