An acoustic enhancement method, terminal, and storage medium for an electric drive

Abstract

This application discloses an acoustic enhancement method, terminal, and storage medium for an electric drive. The method includes: acquiring the original electric drive sound of the target electric drive; performing acoustic enhancement processing on the original electric drive sound according to an enhancement strategy to obtain an enhanced electric drive sound corresponding to the original electric drive sound; inputting the enhanced electric drive sound into an acoustic evaluation model to obtain a predicted score corresponding to the enhanced electric drive sound; based on the predicted score, processing the enhanced electric drive sound again using a next enhancement strategy, and repeating the steps of inputting the enhanced electric drive sound into the acoustic evaluation model to obtain a predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements; when the predicted score or the number of enhancements meets the requirements, obtaining the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound; and finally, using the enhanced electric drive sound for playback inside the vehicle. This solution improves the efficiency of acoustic enhancement processing for electric drives.

Description

Technical Field

[0001] This application relates to the field of new energy vehicle technology, and in particular to an acoustic enhancement method, terminal, and storage medium for electric drive. Background Technology

[0002] With the improvement of consumption levels in my country, consumers are demanding more and more from automobiles, and the vibration and noise performance of vehicles has gradually become a key indicator for measuring vehicle quality. For new energy vehicles, the noise generated by the electric motor drive system is the main noise source. In order to improve the experience of drivers and passengers, appropriate acoustic enhancement treatments are needed for the electric drive system.

[0003] In related methods, in order to determine whether the sound quality effect after acoustic enhancement meets the requirements, it is often necessary to conduct multiple rounds of expert evaluation on the acoustically enhanced sound. This process consumes a lot of time and greatly prolongs the processing cycle of acoustic enhancement. Summary of the Invention

[0004] This application provides an acoustic enhancement method for an electric drive, a terminal, and a storage medium.

[0005] One technical solution adopted in this application is to provide an acoustic enhancement method for an electric drive, the method comprising:

[0006] Obtain the original electric drive sound of the target electric drive;

[0007] The original electric drive sound is acoustically enhanced according to the enhancement strategy to obtain the enhanced electric drive sound corresponding to the original electric drive sound.

[0008] The enhanced electric drive sound is input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound;

[0009] Based on the predicted score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the enhanced electric drive sound is repeatedly input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements.

[0010] When the predicted score or the number of enhancements meets the requirements, the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound are obtained; the final enhanced electric drive sound is used for playback inside the vehicle.

[0011] Optionally, the original electric drive sound is acoustically enhanced according to the enhancement strategy to obtain the enhanced electric drive sound corresponding to the original electric drive sound, including:

[0012] Obtain the frequency-speed-energy diagram corresponding to the original electric drive sound, and obtain the target energy corresponding to the main order of the target electric drive from the frequency-speed-energy diagram;

[0013] In response to the target energy exceeding a preset threshold, the target energy is reduced to obtain enhanced electric drive sound;

[0014] And / or,

[0015] According to the preset step size, the harmonic orders are determined around the principal order;

[0016] Based on the harmonic order and the target energy corresponding to the principal order, the first electric drive sound is generated, and the original electric drive sound and the first electric drive sound are superimposed to obtain the enhanced electric drive sound.

[0017] Optionally, the acoustic enhancement processing of the original electric drive sound according to the enhancement strategy to obtain the enhanced electric drive sound corresponding to the original electric drive sound further includes:

[0018] From the original electric drive sound, obtain the target electric drive sound with a speed higher than the preset speed;

[0019] If the energy of the first frequency range of the target electric drive sound is greater than a preset threshold, a second electric drive sound is generated according to the second frequency range, which is smaller than the first frequency range.

[0020] The target electric drive sound and the second electric drive sound are superimposed to obtain the enhanced electric drive sound.

[0021] Optionally, in response to the target energy corresponding to the principal order being greater than a preset threshold, the target energy is reduced to obtain enhanced electric drive sound, including:

[0022] In response to the target energy corresponding to the principal order being greater than a preset threshold, harmonic injection processing is performed on the target electric drive.

[0023] The electric drive sound of the target electric drive after harmonic injection processing is obtained to obtain enhanced electric drive sound.

[0024] Optionally, the enhanced electric drive sound is input into the acoustic evaluation model to obtain a predicted score corresponding to the enhanced electric drive sound, including:

[0025] Objective parameters are extracted from the enhanced electric drive sound to obtain the first objective parameter corresponding to the enhanced electric drive sound.

[0026] The first objective parameter is input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound.

[0027] Optionally, the acoustic evaluation model can be pre-constructed using the following method:

[0028] Obtain the original electric drive acoustic sample corresponding to the sample electric drive; and perform acoustic enhancement processing on the original electric drive acoustic sample according to the enhancement strategy to obtain the enhanced electric drive acoustic sample corresponding to the original electric drive acoustic sample.

[0029] The original electric drive sound sample is scored by experts to obtain the first expert score corresponding to the original electric drive sound sample; and the enhanced electric drive sound sample is scored by experts to obtain the second expert score corresponding to the enhanced electric drive sound sample.

[0030] In response to the second expert score being greater than the first expert score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the process of expert scoring of the enhanced electric drive sound sample is repeated to obtain the second expert score corresponding to the enhanced electric drive sound sample until the second expert score meets the requirements.

[0031] When the second expert score meets the requirements, the corresponding final enhanced electric drive sound sample is obtained, and the acoustic evaluation model is constructed using the second expert score corresponding to the final enhanced electric drive sound sample.

[0032] Optionally, an acoustic evaluation model is constructed using the second expert score corresponding to the final enhanced electric drive acoustic sample, including:

[0033] Obtain the second objective parameter corresponding to the enhanced electric drive acoustic sample;

[0034] An acoustic evaluation model is constructed with a second objective parameter as input and a second expert score as output.

[0035] Optionally, obtain the objective parameters corresponding to the enhanced electric drive acoustic sample, including:

[0036] The initial objective parameters corresponding to the enhanced electric drive acoustic sample are obtained. The initial objective parameters include order distribution, frequency equalization, and psychoacoustic parameters, including loudness, roughness, sharpness, and jitter.

[0037] Principal component extraction is performed on the initial objective parameters to obtain the objective parameters.

[0038] Another technical solution adopted in this application is to provide a terminal device, the terminal device including a memory and a processor connected to the memory;

[0039] The memory is used to store program data, and the processor is used to execute the program data to implement the acoustic enhancement method of the electric drive as described above.

[0040] Another technical solution adopted in this application is to provide a computer storage medium for storing program data, which, when executed by a computer, is used to implement the acoustic enhancement method of the electric drive as described above.

[0041] The beneficial effects of this application are as follows: The original electric drive sound of the target electric drive is obtained; according to the enhancement strategy, the original electric drive sound is acoustically enhanced to obtain the enhanced electric drive sound corresponding to the original electric drive sound; using an acoustic evaluation model, a predicted score corresponding to the enhanced electric drive sound is obtained, realizing the sound quality evaluation of the enhanced electric drive sound; based on the predicted score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the enhanced electric drive sound is repeatedly input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements; when the predicted score or the number of enhancements meets the requirements, the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound are obtained. The above scheme uses an acoustic evaluation model to perform acoustic evaluation of the enhanced electric drive sound, eliminating the need for multiple rounds of expert evaluation of the enhanced electric drive sound, improving the reliability of the evaluation, and greatly improving the efficiency of obtaining the final electric drive sound. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a schematic flowchart of an embodiment of the acoustic enhancement method for electric drives provided in this application;

[0044] Figure 2 This is a schematic flowchart of another embodiment of the acoustic enhancement method for electric drive provided in this application;

[0045] Figure 3 yes Figure 2 A flowchart illustrating an embodiment of the method for constructing an acoustic evaluation model in China;

[0046] Figure 4 This is a schematic diagram of the structure of an embodiment of the terminal device provided in this application;

[0047] Figure 5 This is a schematic diagram of the structure of an embodiment of the computer storage medium provided in this application. Detailed Implementation

[0048] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0049] In related technologies, the constructed acoustic evaluation model mainly evaluates the original electric drive sound of the target electric drive. This acoustic evaluation model cannot evaluate the acoustically enhanced electric drive sound. Therefore, common electric drive acoustic enhancement methods require expert evaluation of the enhanced electric drive sound, which is time-consuming and labor-intensive.

[0050] Please refer to the details. Figure 1 , Figure 1 This is a schematic flowchart of an embodiment of the acoustic enhancement method for electric drives provided in this application.

[0051] like Figure 1 As shown, the acoustic enhancement method for an electric drive according to an embodiment of this application may specifically include the following steps:

[0052] S1, acquire the original electric drive sound of the target electric drive.

[0053] The acoustic enhancement method for electric drives provided in this application is primarily executed by an electric drive acoustic enhancement device. In some embodiments, the electric drive acoustic enhancement device can be any one or more of the following: a device for monitoring images, user equipment (UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (PDA), a handheld device, a computing device, an in-vehicle device, a wearable device, and an autonomous vehicle, a robot, a security system, or glasses or helmets for augmented reality or virtual reality. In some possible implementations, the acoustic enhancement method for electric drives can be implemented by a processor calling computer-readable instructions stored in memory.

[0054] Specifically, the electric drive acoustic enhancement device acquires the original electric drive sound of the target electric drive.

[0055] In some embodiments, the electric drive acoustic enhancement device acquires the sound of the target electric drive at different speeds and the torque corresponding to the different speeds to obtain the original electric drive sound.

[0056] For example, the electric drive acoustic enhancement device acquires the original electric drive sound at speeds of 1000 rpm / min, 2000 rpm / min, ..., 12000 rpm / min, corresponding to no load, 50% of the forward maximum torque, 100% of the forward maximum torque, 50% of the reverse maximum torque, and 100% of the reverse maximum torque. Understandably, in some application scenarios, to obtain a richer original electric drive sound, the electric drive acoustic device can acquire the sound at speed intervals of 100 rpm / min and torque intervals of 10% of the maximum torque.

[0057] In some embodiments, the electric drive acoustic enhancement device collects acoustic sample data under full operating conditions. The data acquisition method is based on the industry standard five-point sound pressure method or three-point sound pressure method, which can obtain the noise characteristics of the target electric drive full envelope surface. The resulting acoustic sample data is a superimposed average of five or three points.

[0058] S2, perform acoustic enhancement processing on the original electric drive sound according to the enhancement strategy to obtain the enhanced electric drive sound corresponding to the original electric drive sound.

[0059] Specifically, the electric drive acoustic enhancement device performs acoustic enhancement processing on the original electric drive sound according to the enhancement strategy to obtain the enhanced electric drive sound corresponding to the original electric drive sound.

[0060] In some embodiments, the enhancement strategy may include at least one of active noise reduction processing, order equalization processing, and spectrum contouring processing. For example, an enhancement strategy may be to perform any one of active noise reduction processing, order equalization processing, and spectrum contouring processing on the original electric drive sound, or to perform any two of active noise reduction processing, order equalization processing, and spectrum contouring processing on the original electric drive sound simultaneously, or to perform active noise reduction processing, order equalization processing, and spectrum contouring processing on the original electric drive sound simultaneously.

[0061] It should be noted that the enhanced electric drive sound obtained may have poor acoustic evaluation. Therefore, an acoustic evaluation of the enhanced electric drive sound is necessary.

[0062] S3 inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound.

[0063] Specifically, the electric drive acoustic enhancement device inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound.

[0064] In some embodiments, the prediction score is out of 10; a higher prediction score indicates that the acoustic enhancement strategy used to enhance the electric drive sound meets the evaluation requirements. In some possible embodiments, a prediction score greater than 5 indicates that the sound quality of the enhanced electric drive sound is superior to that of the original electric drive sound.

[0065] S4. Based on the predicted score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the enhanced electric drive sound is repeatedly input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements.

[0066] Specifically, the electric drive acoustic enhancement device processes and enhances the electric drive sound again using the next enhancement strategy based on the predicted score, and repeats the steps of inputting the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements.

[0067] In some possible embodiments, in response to the predicted score of the enhanced electric drive sound being higher than the predicted score of the original electric drive sound, the electric drive acoustic enhancement device uses the next enhancement strategy to process the enhanced electric drive sound again, obtaining an updated enhanced electric drive sound. Further, the electric drive acoustic enhancement device inputs the updated enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound. In some possible application scenarios, after several enhancement iterations, until the predicted score of the m-th updated enhanced electric drive sound is less than the predicted score of the (m-1)-th updated enhanced electric drive sound, where m is an integer greater than 1, the prediction score meets the requirement, and the electric drive acoustic enhancement device stops the acoustic enhancement operation on the updated electric drive sound. In some possible application scenarios, if the number of enhancements is greater than n, the electric drive acoustic enhancement device stops the acoustic enhancement operation on the n-th updated electric drive sound. Optionally, n is an integer greater than 1.

[0068] In some embodiments, when performing acoustic enhancement processing on the updated enhanced electric drive sound, the electric drive acoustic enhancement device also records and updates the optimized path.

[0069] S5, when the predicted score or the number of enhancements meets the requirements, obtains the optimization path and the final enhanced electric drive sound corresponding to the enhancement strategy.

[0070] Specifically, when the predicted score or the number of enhancements meets the requirements, the electro-acoustic enhancement device obtains the optimized path corresponding to the enhancement strategy and the final enhanced electro-acoustic.

[0071] In some possible application scenarios, after several enhancement iterations, until the predicted score of the enhanced electric drive sound after the m-th update is less than the predicted score of the enhanced electric drive sound after the (m-1)-th update, the electric drive acoustic device takes the enhanced electric drive sound after the (m-1)-th update as the final enhanced electric drive sound, and obtains the optimized path corresponding to the above m-1 enhancement strategies. Here, m is an integer greater than 1.

[0072] In some possible application scenarios, if the number of enhancements exceeds n, the acoustic enhancement operation on the electric drive sound updated in the nth time is stopped, and the enhanced electric drive sound updated in the nth time is taken as the final enhanced electric drive sound, and the optimization path corresponding to the above n enhancement strategies is obtained.

[0073] The above scheme obtains the original electric drive sound of the target electric drive, performs acoustic enhancement processing on the original electric drive sound according to the enhancement strategy, and obtains the enhanced electric drive sound corresponding to the original electric drive sound; using an acoustic evaluation model, it obtains the predicted score corresponding to the enhanced electric drive sound to achieve sound quality evaluation of the enhanced electric drive sound; based on the predicted score, it processes the enhanced electric drive sound again using the next enhancement strategy, and repeatedly inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements; when the predicted score or the number of enhancements meets the requirements, it obtains the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound. This scheme uses an acoustic evaluation model to perform acoustic evaluation of the enhanced electric drive sound, eliminating the need for multiple rounds of expert evaluation, improving the reliability of the evaluation, and greatly increasing the efficiency of obtaining the final electric drive sound.

[0074] Another embodiment of the acoustic enhancement method for electric drives provided in this application may specifically include the following steps:

[0075] S11, Obtain the original electric drive sound of the target electric drive.

[0076] S12, obtain the frequency-speed-energy diagram corresponding to the original electric drive sound, and obtain the target energy corresponding to the main order of the target electric drive from the frequency-speed-energy diagram.

[0077] Specifically, the electric drive acoustic enhancement device uses time-frequency domain conversion to transform the original electric drive sound corresponding to different speeds, thereby obtaining a frequency-speed-energy diagram.

[0078] The frequency-speed-energy diagram is presented in color, with frequency on the horizontal axis and speed on the vertical axis. The color indicates the magnitude of the energy amplitude. The frequency-speed-energy diagram contains bright diagonal lines emanating from the origin, with each bright line corresponding to the order of the target electric drive.

[0079] For example, in the target electric drive, if the meshing order of the reducer is 26, then the main order of the target electric drive is 26.

[0080] Furthermore, after determining the primary order of the target electric drive, the electric drive acoustic enhancement device determines the energy value corresponding to the primary order, i.e., the target energy, from the frequency-speed-energy diagram.

[0081] S13, in response to the target energy being greater than a preset threshold, reduces the target energy to obtain enhanced electric drive sound.

[0082] Specifically, in response to the target energy corresponding to the main order being greater than a preset threshold, the electro-acoustic enhancement device reduces the target energy to enhance the electro-acoustic performance.

[0083] Understandably, reducing the energy corresponding to the primary drive means reducing the ratio of the primary drive to the total energy, which can improve the noise generated by the electric drive.

[0084] In some embodiments, S13 may specifically include the following sub-steps:

[0085] S131, in response to the target energy corresponding to the main order being greater than a preset threshold, perform harmonic injection processing on the target electric drive.

[0086] Specifically, in response to the target energy corresponding to the main order being greater than a preset threshold, the electric drive acoustic enhancement device performs harmonic injection processing on the target electric drive. By adjusting the motor parameters (such as current and voltage) in the electric drive, the target energy corresponding to the main order is reduced.

[0087] Harmonic injection refers to injecting specific current waveforms into the motor controller. These waveforms are precisely calculated and designed to cancel the torque harmonics generated by the motor itself, which can significantly reduce the motor's operating noise.

[0088] S132, acquire the electric drive sound of the target electric drive after harmonic injection processing, and obtain the enhanced electric drive sound.

[0089] Specifically, the electric drive acoustic enhancement device acquires the electric drive sound of the target electric drive after harmonic injection processing, thus obtaining enhanced electric drive sound.

[0090] It should be noted that, under different acoustic enhancement strategies, the relevant parameters for harmonic injection of the target electric drive by the electric drive acoustic enhancement device can be the same or different.

[0091] S14, input the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound.

[0092] S15, based on the predicted score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the enhanced electric drive sound is repeatedly input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements.

[0093] S16, when the predicted score or number of enhancements meets the requirements, obtain the optimized path and the final enhanced electric drive sound corresponding to the enhancement strategy.

[0094] The above scheme obtains the original electric drive sound of the target electric drive, performs acoustic enhancement processing on the original electric drive sound according to the enhancement strategy, and obtains the enhanced electric drive sound corresponding to the original electric drive sound; using an acoustic evaluation model, it obtains the predicted score corresponding to the enhanced electric drive sound to achieve sound quality evaluation of the enhanced electric drive sound; based on the predicted score, it processes the enhanced electric drive sound again using the next enhancement strategy, and repeatedly inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements; when the predicted score or the number of enhancements meets the requirements, it obtains the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound. This scheme uses an acoustic evaluation model to perform acoustic evaluation of the enhanced electric drive sound, eliminating the need for multiple rounds of expert evaluation, improving the reliability of the evaluation, and greatly increasing the efficiency of obtaining the final electric drive sound.

[0095] Another embodiment of the acoustic enhancement method for electric drives provided in this application may specifically include the following steps:

[0096] S21, Obtain the original electric drive sound of the target electric drive.

[0097] S22, obtain the frequency-speed-energy diagram corresponding to the original electric drive sound, and obtain the main order corresponding to the target electric drive from the frequency-speed-energy diagram.

[0098] S23, according to the preset step size, determine the harmonic order around the main order.

[0099] Specifically, the electro-driven acoustic enhancement device determines the harmonic order around the main order according to a preset step size.

[0100] In some embodiments, the electro-driven acoustic enhancement device uses the principal order as the center and determines the harmonic order according to a preset step size.

[0101] Optionally, the preset step size can be 5, 4, 3, 2, 1, 0.5, 1 / 3 or 0.1.

[0102] In some embodiments, the preset step size may be the same or different under different enhancement strategies.

[0103] S24. Based on the harmonic order and the target energy corresponding to the principal order, the first electric drive sound is generated, and the original electric drive sound and the first electric drive sound are superimposed to obtain the enhanced electric drive sound.

[0104] Specifically, the electro-acoustic enhancement device generates a first electro-acoustic sound based on the harmonic order and the target energy corresponding to the principal order, and superimposes the original electro-acoustic sound and the first electro-acoustic sound to obtain the enhanced electro-acoustic sound.

[0105] For example, the dominant order is 26, and the corresponding energy value (i.e., the target energy) is 68dB. The electro-acoustic enhancement device determines the harmonic order to be 24, and the corresponding energy value is 65dB. Based on the harmonic order and its corresponding energy value, the first electro-acoustic is generated, thereby adjusting the ratio between the dominant order component and the total energy.

[0106] In some embodiments, the energy value corresponding to the harmonic order can be increased or decreased under different enhancement strategies.

[0107] S25, the enhanced electric drive sound is input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound.

[0108] S26, Based on the predicted score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the enhanced electric drive sound is repeatedly input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements.

[0109] S27, when the predicted score or the number of enhancements meets the requirements, obtain the optimization path and the final enhanced electric drive sound corresponding to the enhancement strategy.

[0110] The above scheme obtains the original electric drive sound of the target electric drive, performs acoustic enhancement processing on the original electric drive sound according to the enhancement strategy, and obtains the enhanced electric drive sound corresponding to the original electric drive sound; using an acoustic evaluation model, it obtains the predicted score corresponding to the enhanced electric drive sound to achieve sound quality evaluation of the enhanced electric drive sound; based on the predicted score, it processes the enhanced electric drive sound again using the next enhancement strategy, and repeatedly inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements; when the predicted score or the number of enhancements meets the requirements, it obtains the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound. This scheme uses an acoustic evaluation model to perform acoustic evaluation of the enhanced electric drive sound, eliminating the need for multiple rounds of expert evaluation, improving the reliability of the evaluation, and greatly increasing the efficiency of obtaining the final electric drive sound.

[0111] Another embodiment of the acoustic enhancement method for electric drives provided in this application may specifically include the following steps:

[0112] S31, Obtain the original electric drive sound of the target electric drive.

[0113] S32, obtain the frequency-speed-energy diagram corresponding to the original electric drive sound, and obtain the target energy corresponding to the main order of the target electric drive from the frequency-speed-energy diagram.

[0114] S33, in response to the target energy being greater than a preset threshold, reduces the target energy to obtain enhanced electric drive sound.

[0115] S34, according to the preset step size, determine the harmonic order around the main order.

[0116] S35 generates a first electric drive sound based on the harmonic order and the target energy corresponding to the principal order, and performs a superposition operation on the original electric drive sound and the first electric drive sound to obtain an enhanced electric drive sound.

[0117] S36, input the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound.

[0118] S37. Based on the predicted score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the enhanced electric drive sound is repeatedly input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements.

[0119] S38, when the predicted score or the number of enhancements meets the requirements, obtains the optimization path and the final enhanced electric drive sound corresponding to the enhancement strategy.

[0120] The above scheme obtains the original electric drive sound of the target electric drive, performs acoustic enhancement processing on the original electric drive sound according to the enhancement strategy, and obtains the enhanced electric drive sound corresponding to the original electric drive sound; using an acoustic evaluation model, it obtains the predicted score corresponding to the enhanced electric drive sound to achieve sound quality evaluation of the enhanced electric drive sound; based on the predicted score, it processes the enhanced electric drive sound again using the next enhancement strategy, and repeatedly inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements; when the predicted score or the number of enhancements meets the requirements, it obtains the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound. This scheme uses an acoustic evaluation model to perform acoustic evaluation of the enhanced electric drive sound, eliminating the need for multiple rounds of expert evaluation, improving the reliability of the evaluation, and greatly increasing the efficiency of obtaining the final electric drive sound.

[0121] Another embodiment of the acoustic enhancement method for electric drives provided in this application may specifically include the following steps:

[0122] S41, acquire the original electric drive sound of the target electric drive.

[0123] S42, from the original electric drive sound, obtain the target electric drive sound with a speed higher than the preset speed.

[0124] Specifically, the electric drive acoustic enhancement device obtains the target electric drive sound with a rotational speed higher than the preset speed from the original electric drive sound.

[0125] For example, the preset speed is 7000 rpm or higher, but this is not limited here.

[0126] It should be noted that at high speeds, motors may generate higher energy at certain high frequencies, which users may find to be quite harsh. Therefore, appropriate acoustic enhancement measures are needed to reduce the noise from electric drives at high speeds.

[0127] S43, in response to the energy of the first frequency range of the target electric drive sound being greater than a preset threshold, a second electric drive sound is generated according to the second frequency range, the second frequency range being smaller than the first frequency range.

[0128] Specifically, the energy in a first frequency range responding to the target electric drive sound exceeds a preset threshold. The electric drive acoustic enhancement device generates corresponding low-frequency sounds to improve the user's auditory experience.

[0129] In some possible embodiments, the electro-acoustic enhancement device generates a second electro-acoustic sound in a second frequency range at a frequency of 1 / 3 octave band.

[0130] S44, superimpose the target electric drive sound and the second electric drive sound to obtain the enhanced electric drive sound.

[0131] Specifically, the electric drive acoustic enhancement device superimposes the target electric drive sound and the second electric drive sound to obtain enhanced electric drive sound.

[0132] By generating a second electric drive sound with a certain low-frequency energy and superimposing the target electric drive sound and the second electric drive sound, the component ratio of the resulting enhanced electric drive sound at different frequencies is more balanced, thereby improving the user experience.

[0133] S45 inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound.

[0134] S46, Based on the predicted score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the enhanced electric drive sound is repeatedly input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements.

[0135] S47, when the predicted score or the number of enhancements meets the requirements, obtain the optimization path and the final enhanced electric drive sound corresponding to the enhancement strategy.

[0136] The above scheme obtains the original electric drive sound of the target electric drive, performs acoustic enhancement processing on the original electric drive sound according to the enhancement strategy, and obtains the enhanced electric drive sound corresponding to the original electric drive sound; using an acoustic evaluation model, it obtains the predicted score corresponding to the enhanced electric drive sound to achieve sound quality evaluation of the enhanced electric drive sound; based on the predicted score, it processes the enhanced electric drive sound again using the next enhancement strategy, and repeatedly inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements; when the predicted score or the number of enhancements meets the requirements, it obtains the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound. This scheme uses an acoustic evaluation model to perform acoustic evaluation of the enhanced electric drive sound, eliminating the need for multiple rounds of expert evaluation, improving the reliability of the evaluation, and greatly increasing the efficiency of obtaining the final electric drive sound.

[0137] Another embodiment of the acoustic enhancement method for electric drives provided in this application may specifically include the following steps:

[0138] S51, acquire the original electric drive sound of the target electric drive.

[0139] S52, perform acoustic enhancement processing on the original electric drive sound according to the enhancement strategy to obtain the enhanced electric drive sound corresponding to the original electric drive sound.

[0140] S53, extract objective parameters from the enhanced electric drive sound to obtain the first objective parameter corresponding to the enhanced electric drive sound.

[0141] Specifically, the electric drive acoustic enhancement device extracts objective parameters of the enhanced electric drive sound to obtain the first objective parameter corresponding to the enhanced electric drive sound.

[0142] In some possible embodiments, the first objective parameter may include at least one of order distribution, frequency equalization, and psychoacoustic parameters. The psychoacoustic parameters include at least one of loudness, roughness, sharpness, and jitter.

[0143] Loudness reflects the subjective perception of sound pressure level and has a higher weighting for low frequencies. Roughness and jitter are modulation characteristics. Sharpness describes the high-frequency components.

[0144] S54. Input the first objective parameter into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound.

[0145] Specifically, the electric drive acoustic enhancement device inputs the first objective parameter into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive acoustic.

[0146] S55, based on the predicted score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the enhanced electric drive sound is repeatedly input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements.

[0147] S56, when the predicted score or the number of enhancements meets the requirements, obtains the optimization path and the final enhanced electric drive sound corresponding to the enhancement strategy.

[0148] The above scheme obtains the original electric drive sound of the target electric drive, performs acoustic enhancement processing on the original electric drive sound according to the enhancement strategy, and obtains the enhanced electric drive sound corresponding to the original electric drive sound; using an acoustic evaluation model, it obtains the predicted score corresponding to the enhanced electric drive sound to achieve sound quality evaluation of the enhanced electric drive sound; based on the predicted score, it processes the enhanced electric drive sound again using the next enhancement strategy, and repeatedly inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements; when the predicted score or the number of enhancements meets the requirements, it obtains the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound. This scheme uses an acoustic evaluation model to perform acoustic evaluation of the enhanced electric drive sound, eliminating the need for multiple rounds of expert evaluation, improving the reliability of the evaluation, and greatly increasing the efficiency of obtaining the final electric drive sound.

[0149] In some embodiments, the acoustic evaluation model is pre-constructed using the following steps:

[0150] S61, obtain the original electric drive sound sample corresponding to the sample electric drive, and perform acoustic enhancement processing on the original electric drive sound sample according to the enhancement strategy to obtain the enhanced electric drive sound sample corresponding to the original electric drive sound sample.

[0151] Specifically, the electric drive acoustic enhancement device acquires the original electric drive acoustic sample corresponding to the sample electric drive, and performs acoustic enhancement processing on the original electric drive acoustic sample according to the enhancement strategy to obtain the enhanced electric drive acoustic sample corresponding to the original electric drive acoustic sample.

[0152] In some embodiments, there are multiple sample electric drives. That is, the final enhanced electric drive sound corresponds to different sample electric drives.

[0153] For example, the sample electric drive can be an electric drive from a different manufacturer or a different model.

[0154] For example, the electric drive acoustic enhancement device uses more than 20 electric drives of different manufacturers and models as sample electric drives. Data is collected for each sample electric drive using either a five-point sound pressure level (SPL) method or a three-point SPL method to obtain the full-range operating condition sound sample data for each sample electric drive. This sound sample data is the original sound sample data. In some possible application scenarios, the original sound sample data is a superimposed average of three-point or five-point data.

[0155] Furthermore, the electric drive acoustic enhancement device performs acoustic enhancement processing on the original electric drive acoustic sample according to the various enhancement strategies mentioned above, to obtain an enhanced electric drive acoustic sample.

[0156] It should be noted that for a single original electric drive sound sample, there can be several enhanced electric drive sound samples.

[0157] S62, perform expert scoring on the original electric drive sound sample to obtain the first expert score corresponding to the original electric drive sound sample, and perform expert scoring on the enhanced electric drive sound sample to obtain the second expert score corresponding to the enhanced electric drive sound sample.

[0158] Specifically, the electric drive acoustic enhancement device performs expert scoring on the original electric drive acoustic sample to obtain a first expert score corresponding to the original electric drive acoustic sample, and the electric drive acoustic enhancement device performs expert scoring on the enhanced electric drive acoustic sample to obtain a second expert score corresponding to the enhanced electric drive acoustic sample.

[0159] In some embodiments, the electro-drive acoustic enhancement device requires expert scoring of the enhanced electro-drive acoustic samples and the original electro-drive acoustic samples. In some application scenarios, to improve the effectiveness of expert scoring, a comparative testing scoring method is used, where the original electro-drive acoustic sample and its corresponding enhanced electro-drive acoustic sample are grouped together for expert comparative scoring. For example, a 10-point scoring system is used, with the original electro-drive acoustic sample set to 5 points. If the score of the enhanced electro-drive acoustic sample is higher than 5 points, it indicates an optimization effect, and the enhanced electro-drive acoustic sample is processed again using the next enhancement strategy; if the score of the enhanced electro-drive acoustic sample is lower than 5 points, it indicates no optimization effect, and the enhanced acoustic sample is discarded.

[0160] S63, in response to the second expert score being greater than the first expert score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the process of performing expert scoring on the enhanced electric drive sound sample to obtain the second expert score corresponding to the enhanced electric drive sound sample is repeated until the second expert score meets the requirements.

[0161] Specifically, in response to the second expert score being greater than the first expert score, the electric drive acoustic enhancement device uses the next enhancement strategy to process the enhanced electric drive sound again, and repeats the step of performing expert scoring on the enhanced electric drive sound sample to obtain the second expert score corresponding to the enhanced electric drive sound sample, until the second expert score meets the requirements.

[0162] S64, when the second expert score meets the requirements, obtain the corresponding final enhanced electric drive sound sample.

[0163] Specifically, when the second expert's score meets the requirements, the electric drive acoustic enhancement device obtains the corresponding final enhanced electric drive acoustic sample.

[0164] In some possible embodiments, the second expert score of the i-th enhanced electric drive sound is higher than the second expert scores of all (i+1)-th enhanced electric drive sounds, meaning that the second expert score of the i-th enhanced electric drive sound meets the requirements and the final enhanced electric drive sound sample has been obtained. Here, i is an integer greater than 1.

[0165] S65 uses the second expert score corresponding to the final enhanced electric drive acoustic sample to construct an acoustic evaluation model.

[0166] Specifically, the electric-driven acoustic enhancement device uses the second expert score corresponding to the final enhanced electric-driven acoustic sample as a sample set, and uses the sample set to construct an acoustic evaluation model.

[0167] In some embodiments, S65 includes the following sub-steps:

[0168] S651, obtain the second objective parameter corresponding to the final enhanced electric drive acoustic sample.

[0169] Specifically, the electro-acoustic enhancement device acquires the second objective parameter corresponding to the final enhanced electro-acoustic sample.

[0170] Understandably, the second objective parameter is a quantifiable acoustic parameter.

[0171] In some embodiments, the second objective parameter is the same as the first objective parameter mentioned above.

[0172] In some embodiments, S651 includes the following sub-steps:

[0173] S6511, obtain the initial objective parameters corresponding to the final enhanced electric drive acoustic sample.

[0174] The initial objective parameters include order distribution, frequency equalization, and psychoacoustic parameters, including loudness, roughness, sharpness, and jitter.

[0175] Loudness describes the subjective perception of sound pressure level and has a higher weighting for low frequencies. Roughness and jitter are modulation characteristics, while sharpness describes high-frequency components.

[0176] S6512, perform principal component extraction on the initial objective parameters to obtain the second objective parameters.

[0177] Specifically, the electro-acoustic enhancement device performs principal component extraction on the final enhanced electro-acoustic sample. While preserving as much original data information as possible, it reduces the number of dimensions of the initial objective parameters to reduce subsequent computation and interference factors.

[0178] S652, construct an acoustic evaluation model with a second objective parameter as input and a second expert score as output.

[0179] Specifically, the electro-driven acoustic enhancement device constructs an acoustic evaluation model with a second objective parameter as input and a second expert score as output.

[0180] In some possible embodiments, the electro-acoustic device utilizes a radial basis function (RBF) neural network to fit a mapping relationship where a second objective parameter is the input and a second expert parameter is the output. In some embodiments, the hidden layers of the RBF neural network are trained and initialized using the K-means algorithm. Furthermore, the trained RBF neural network constitutes the acoustic evaluation model.

[0181] The above scheme obtains the original electric drive sound of the target electric drive, performs acoustic enhancement processing on the original electric drive sound according to the enhancement strategy, and obtains the enhanced electric drive sound corresponding to the original electric drive sound; using an acoustic evaluation model, it obtains the predicted score corresponding to the enhanced electric drive sound to achieve sound quality evaluation of the enhanced electric drive sound; based on the predicted score, it processes the enhanced electric drive sound again using the next enhancement strategy, and repeatedly inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements; when the predicted score or the number of enhancements meets the requirements, it obtains the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound. This scheme uses an acoustic evaluation model to perform acoustic evaluation of the enhanced electric drive sound, eliminating the need for multiple rounds of expert evaluation, improving the reliability of the evaluation, and greatly increasing the efficiency of obtaining the final electric drive sound.

[0182] like Figure 2 As shown, another embodiment of the acoustic enhancement method for electric drives provided in this application may specifically include the following steps:

[0183] S201, collect the original electric drive sound of the target electric drive.

[0184] Specifically, the electric drive acoustic enhancement device collects the original electric drive sound of the target electric drive.

[0185] In some embodiments, the electric drive acoustic enhancement device uses a three-point sound pressure method or a five-point sound pressure method to obtain the acoustic characteristics of the target electric drive's full envelope surface. Furthermore, the electric drive acoustic enhancement device averages the sound pressures collected at the three or five points to obtain the original electric drive sound.

[0186] S202, perform acoustic enhancement operation to obtain enhanced electric drive sound.

[0187] Specifically, the electric drive acoustic enhancement device performs at least one of the following operations on the original electric drive sound: active noise reduction, order equalization, and spectrum contouring.

[0188] In some embodiments, active noise reduction involves adjusting the ratio between the energy of the dominant order and the overall energy based on the energy amplitude of the dominant order, or adjusting the relationship between the order sound pressure level and the sound pressure level slope. For example, the harmonic injection mentioned above is one type of active noise reduction operation.

[0189] In some embodiments, the order equalization operation involves adjusting the ratio of the dominant order to the harmonic order of the electric drive based on the order information of the original electric drive sound, thereby increasing the order components. For example, S23-S24 represents one such order equalization operation.

[0190] In some embodiments, the spectrum contouring operation involves adjusting the ratio of low, mid, and high frequency components based on the frequency information of the original electric drive sound. For example, S42-S44 represent one such spectrum contouring operation.

[0191] S203, the enhanced electric drive sound is input into the acoustic evaluation model to obtain the predicted evaluation result corresponding to the enhanced electric drive sound.

[0192] Specifically, the electric drive acoustic enhancement device inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted evaluation results corresponding to the enhanced electric drive sound.

[0193] In some embodiments, the predictive evaluation results are used to characterize expert evaluations of enhanced electric drive sound.

[0194] like Figure 3 As shown, the acoustic evaluation model is pre-built through the following steps:

[0195] S301, collect electric drive sound samples.

[0196] Specifically, the electric drive acoustic enhancement device uses several electric drives of different manufacturers and models as sample objects to collect acoustic sample data under full operating conditions. The data acquisition method is based on the industry standard five-point sound pressure method, which can obtain the acoustic characteristics of the entire envelope of the electric drive. The resulting acoustic sample data is the superimposed average of five points.

[0197] S302, objective parameter analysis of electric drive acoustic samples.

[0198] Specifically, the electro-acoustic enhancement device calculates and statistically analyzes the objective parameters of the obtained acoustic samples to obtain a table of correspondence between the electro-acoustic samples and the objective parameters.

[0199] The calculation dimensions are as follows: order distribution, frequency equalization, and psychoacoustic parameters. Among them, psychoacoustic parameters include loudness, roughness, sharpness, and jitter. Loudness is the subjective perception of sound pressure level and has a higher weight for low frequencies; roughness and jitter represent modulation characteristics; sharpness describes the high-frequency components.

[0200] S303 processes the electric drive sound sample and generates superimposed sound to obtain a superimposed sound sample.

[0201] Taking electric drive acoustic sample a as an example, the electric drive acoustic enhancement device processes electric drive acoustic sample a using at least one of the following operations: active noise reduction, order equalization, and spectrum contouring.

[0202] For example, active noise reduction operation is represented as A, order equalization operation is represented as B, and spectrum contouring operation is represented as C. The resulting superimposed sound samples may include aA, aB, aC, aAB, aAC, aBC, and aABC.

[0203] In some embodiments, the electro-driven acoustic enhancement device uses an orthogonal testing method to generate batch superimposed sound.

[0204] In some embodiments, the superimposed sound is divided into target sound and control sound. The target sound is the sound generated during the operation of the electric drive. In some embodiments, the target sound corresponds to the original electric drive sound mentioned above. The control sound is the sound added through parameter adjustment, harmonic injection, etc. In some embodiments, the control sound corresponds to the first or second electric drive sound mentioned above. Furthermore, the target sound and the control sound naturally superimpose in the sound field to form superimposed sound.

[0205] In some potential application scenarios, during the experimental phase, the electric drive enhancement device can use MATLAB to superimpose the target sound and the control sound to form a superimposed sound, which can then be used to evaluate sound quality. During real-vehicle testing, the control sound is played through the in-vehicle audio system; the electric drive operation sound and the control sound naturally superimpose to form the in-vehicle sound field.

[0206] S304, perform acoustic evaluation on the superimposed sound sample and the original sound sample, and determine whether the superimposed sound sample meets the conditions.

[0207] If the judgment result is yes, proceed to S305. If the judgment result is no, proceed to S306.

[0208] Specifically, the electro-driven acoustic enhancement device conducts expert evaluation experiments on the superimposed sound samples and the original sound samples obtained by S303. The experiment adopts a comparative test method. The sound samples before optimization (e.g., the original sound samples) and the optimized sound samples (e.g., the superimposed sound samples) are compared and scored. A 10-point scoring standard is used. The sound samples before optimization are scored as 5 points. If the optimized sound samples are higher than 5 points, it indicates that there is an optimization effect and they can be stored in the sample library. Superimposed sound samples with scores lower than 5 points are discarded.

[0209] S305, discard superimposed sound samples.

[0210] Specifically, the electro-driven acoustic enhancement device discards superimposed acoustic samples with a score below 5.

[0211] S306, determine whether the superimposed sound samples meet the iteration conditions.

[0212] If the judgment result is yes, proceed to S302. If the judgment result is no, proceed to S307.

[0213] Specifically, the electro-acoustic enhancement device determines whether there are any new samples in the sample library. If so, it jumps to S302; otherwise, it stops the iteration and jumps to S307.

[0214] S307, Establish a sample library.

[0215] Specifically, an electro-acoustic enhancement device is used to establish a sample library.

[0216] S308, data dimensionality reduction, model fitting, and thus the acoustic evaluation model are obtained.

[0217] Specifically, the electro-driven acoustic enhancement device, using an unsupervised PCA method, can reduce the dimensionality of objective acoustic quality parameters while preserving as much information as possible from the source data, thereby reducing computational load and interference factors. The objective acoustic quality parameters are the objective acoustic sample parameters in S302.

[0218] Furthermore, the electro-acoustic enhancement device is fitted using an RBF neural network model. The input layer of the RBF model is the PCA principal component model after data dimensionality reduction, the hidden layer is trained and initialized using the K-means algorithm, and the output layer is the expert evaluation score.

[0219] Please refer to the previous document. Figure 2 .

[0220] S204. Based on the prediction and evaluation results, determine whether the enhanced electric drive sound meets the iteration conditions.

[0221] If the judgment result is yes, proceed to S202. If the judgment result is no, proceed to S205.

[0222] Specifically, the electro-driven acoustic enhancement device performs iterative judgment based on the predicted evaluation results and the number of iterations. When the iteration converges without a better result or the number of iterations exceeds the limit, the iteration ends and jumps to S205. Otherwise, the iteration continues and jumps to S202 to continue adaptive optimization (i.e., acoustic enhancement operation).

[0223] S205, generating an acoustic enhancement strategy, and generating the final enhanced electric drive acoustics.

[0224] Specifically, the electric drive acoustic enhancement device ultimately enhances the electric drive acoustics, and based on the loop structure, an acoustic enhancement strategy is derived.

[0225] S206, confirm the final enhanced electric drive sound.

[0226] Specifically, the electric drive acoustic enhancement device conducts expert evaluation tests on the final enhanced electric drive acoustics that have obtained multiple similar predicted evaluation results, and selects the better final enhanced electric drive acoustics.

[0227] The above scheme obtains the original electric drive sound of the target electric drive, performs acoustic enhancement processing on the original electric drive sound according to the enhancement strategy, and obtains the enhanced electric drive sound corresponding to the original electric drive sound; using an acoustic evaluation model, it obtains the predicted score corresponding to the enhanced electric drive sound to achieve sound quality evaluation of the enhanced electric drive sound; based on the predicted score, it processes the enhanced electric drive sound again using the next enhancement strategy, and repeatedly inputs the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound, until the predicted score or the number of enhancements meets the requirements; when the predicted score or the number of enhancements meets the requirements, it obtains the optimized path corresponding to the enhancement strategy and the final enhanced electric drive sound. This scheme uses an acoustic evaluation model to perform acoustic evaluation of the enhanced electric drive sound, eliminating the need for multiple rounds of expert evaluation, improving the reliability of the evaluation, and greatly increasing the efficiency of obtaining the final electric drive sound.

[0228] Please continue reading Figure 4 , Figure 4 This is a schematic diagram of the structure of an embodiment of the terminal device provided in this application. The terminal device 500 of this application embodiment includes a processor 51 and a memory 52.

[0229] The processor 51 and memory 52 are connected to a bus. The memory 52 stores program data. The processor 51 is used to execute the program data to implement the acoustic enhancement method of the electric drive described in the above embodiments.

[0230] In this embodiment, processor 51 can also be referred to as a CPU (Central Processing Unit). Processor 51 may be an integrated circuit chip with signal processing capabilities. Processor 51 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor, or processor 51 can be any conventional processor.

[0231] This application also provides a computer storage medium; please refer to the following: Figure 5 , Figure 5 This is a schematic diagram of a computer storage medium according to an embodiment of the present application. The computer storage medium 600 stores program data 61, which, when executed by a processor, is used to implement the acoustic enhancement method of the electric drive in the above embodiment.

[0232] When the embodiments of this application are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0233] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. An acoustic enhancement method for an electric drive, characterized in that, The method includes: Obtain the original electric drive sound of the target electric drive; The original electric drive sound is acoustically enhanced according to the enhancement strategy to obtain the enhanced electric drive sound corresponding to the original electric drive sound. The enhanced electric drive sound is input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound; Based on the predicted score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the steps of inputting the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound are repeated until the predicted score or the number of enhancements meets the requirements. When the predicted score or the number of enhancements meets the requirements, the optimized path and the final enhanced electric drive sound corresponding to the enhancement strategy are obtained; the final enhanced electric drive sound is used for playback inside the vehicle.

2. The method according to claim 1, characterized in that, The step of performing acoustic enhancement processing on the original electric drive sound according to the enhancement strategy to obtain the enhanced electric drive sound corresponding to the original electric drive sound includes: Obtain the frequency-speed-energy diagram corresponding to the original electric drive sound, and obtain the target energy corresponding to the main order of the target electric drive from the frequency-speed-energy diagram; In response to the target energy being greater than a preset threshold, the target energy is reduced to obtain the enhanced electric drive sound; And / or, According to the preset step size, the harmonic order is determined around the main order; Based on the harmonic order and the target energy corresponding to the principal order, a first electric drive sound is generated, and the original electric drive sound and the first electric drive sound are superimposed to obtain the enhanced electric drive sound.

3. The method according to claim 1, characterized in that, The step of performing acoustic enhancement processing on the original electric drive sound according to the enhancement strategy to obtain the enhanced electric drive sound corresponding to the original electric drive sound further includes: From the original electric drive sound, obtain the target electric drive sound with a rotation speed higher than the preset speed; In response to the energy of the first frequency range of the target electric drive sound being greater than a preset threshold, a second electric drive sound is generated according to the second frequency range, wherein the second frequency range is smaller than the first frequency range. The enhanced electric drive sound is obtained by superimposing the target electric drive sound and the second electric drive sound.

4. The method according to claim 2, characterized in that, The step of reducing the target energy in response to the primary order being greater than a preset threshold, thereby obtaining the enhanced electric drive sound, includes: In response to the target energy corresponding to the main order being greater than a preset threshold, harmonic injection processing is performed on the target electric drive; The enhanced electric drive sound is obtained by acquiring the electric drive sound of the target electric drive after harmonic injection processing.

5. The method according to claim 1, characterized in that, The step of inputting the enhanced electric drive sound into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound includes: Objective parameters are extracted from the enhanced electric drive sound to obtain the first objective parameter corresponding to the enhanced electric drive sound; The first objective parameter is input into the acoustic evaluation model to obtain the predicted score corresponding to the enhanced electric drive sound.

6. The method according to claim 1, characterized in that, The acoustic evaluation model was pre-constructed using the following method: Obtain the original electric drive acoustic sample corresponding to the sample electric drive; and perform acoustic enhancement processing on the original electric drive acoustic sample according to the enhancement strategy to obtain the enhanced electric drive acoustic sample corresponding to the original electric drive acoustic sample. The original electric drive sound sample is scored by experts to obtain the first expert score corresponding to the original electric drive sound sample; In addition, the enhanced electric drive sound sample is scored by experts to obtain a second expert score corresponding to the enhanced electric drive sound sample; In response to the second expert score being greater than the first expert score, the enhanced electric drive sound is processed again using the next enhancement strategy, and the steps of performing expert scoring on the enhanced electric drive sound sample to obtain the second expert score corresponding to the enhanced electric drive sound sample are repeated until the second expert score meets the requirements. When the second expert score meets the requirements, the corresponding final enhanced electric drive sound sample is obtained, and the acoustic evaluation model is constructed using the second expert score corresponding to the final enhanced electric drive sound sample.

7. The method according to claim 6, characterized in that, The acoustic evaluation model is constructed by utilizing the second expert score corresponding to the final enhanced electric drive acoustic sample, including: Obtain the second objective parameter corresponding to the final enhanced electric drive acoustic sample; Construct the acoustic evaluation model with the second objective parameter as input and the second expert score as output.

8. The method according to claim 7, characterized in that, The process of obtaining the second objective parameter corresponding to the final enhanced electric drive acoustic sample includes: Obtain the initial objective parameters corresponding to the final enhanced electric drive acoustic sample. The initial objective parameters include order distribution, frequency equalization, and psychoacoustic parameters, including loudness, roughness, sharpness, and jitter. Principal component extraction is performed on the initial objective parameters to obtain the second objective parameters.

9. A terminal device, characterized in that, The terminal device includes a processor and a memory connected to the processor, wherein... The memory stores program instructions; The processor is configured to execute program instructions stored in the memory to implement the method as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The storage medium stores program instructions that, when executed, implement the method as described in any one of claims 1 to 8.

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