Sound quality control method and device of seat motor, electronic equipment and storage medium

Abstract

The invention relates to the technical field of vehicles, in particular to a sound quality control method and device for a seat motor, electronic equipment and a storage medium, and the method comprises the steps: judging whether a seat adjustment instruction is received or not, if the seat adjustment instruction is received, obtaining an average working current value of the current seat motor, and based on a pre-established MAP, obtaining a sound quality control result of the seat motor; and obtaining a target duty ratio according to the average working current value, and controlling the current seat motor according to the target duty ratio. Therefore, the problem that in the prior art, when the electric seat is adjusted and a direct current motor operates under different working conditions, due to the fact that the load torque, transmission mechanism friction and current intensity of the direct current motor are obviously different, the acoustic characteristics (namely the sound quality) generated by the motor are inconsistent is solved, and the purpose that the electric seat is adjusted under various different adjusting working conditions is achieved. Noise generated by operation of the seat motor tends to be consistent in subjective auditory perception, and the similar sound quality level is achieved.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, apparatus, electronic device and storage medium for controlling the sound quality of a seat motor. Background Technology

[0002] With the rapid development of the automotive industry, consumers' demands for vehicle comfort and intelligence are constantly increasing. Electric seats have become a standard feature in modern vehicles due to their ease of operation and high adjustment precision. Users control the switch, which drives the motor to rotate forward or backward via the Electronic Control Unit (ECU), thereby achieving stepless adjustment of the seat's fore-and-aft position, height, tilt, and backrest angle.

[0003] Currently, vehicles are generally equipped with power seats, which are adjusted by rotating a motor.

[0004] However, when adjusting electric seats, the relevant technologies have overlooked the fact that the acoustic characteristics (i.e., sound quality) of the DC motor are inconsistent under different operating conditions (such as forward and backward movement, backrest tilt, height adjustment, etc.). This is due to the significant differences in load torque, transmission mechanism friction, and current intensity. For example, the brightness and roughness of the sound are uneven in different adjustment directions. This disrupts the harmony and unity of the acoustic environment inside the vehicle, reduces the driving and riding experience of the passengers, and diminishes the premium feel of the seat adjustment. Summary of the Invention

[0005] This application provides a method, device, electronic device, and storage medium for controlling the sound quality of a seat motor, in order to solve the problem that related technologies, when adjusting electric seats, neglect the fact that the DC motor operates under different conditions, and that the acoustic characteristics (i.e., sound quality) of the motor are inconsistent due to significant differences in load torque, transmission mechanism friction, and current intensity. The application aims to achieve a similar level of sound quality by making the noise generated by the seat motor in subjective auditory perception consistent under various adjustment conditions.

[0006] The first aspect of this application provides a method for controlling the sound quality of a seat motor, comprising the following steps: Determine if a seat adjustment command has been received; If a seat adjustment command is received, the average operating current value of the current seat motor is obtained, and the target duty cycle is obtained based on the pre-established Motor Current vs Duty Cycle Mapping Chart (MAP) and the average operating current value. The current seat motor is controlled according to the target duty cycle.

[0007] Optionally, in some embodiments, before obtaining the target duty cycle based on the average operating current value in the linear regression model of seat psychoacoustic parameters-subjective ratings, the method further includes: Determine the duty cycles of multiple test loads and multiple pulse width modulation (PWM) circuits; Based on each test load, the sound data of the target seat motor under each PWM duty cycle is collected to obtain the motor sound data under each test load and each PWM duty cycle; Acoustic analysis was performed on the motor sound data under each test load and each PWM duty cycle to obtain the psychoacoustic parameters under each test load and each PWM duty cycle. Obtain subjective scores for each PWM duty cycle under each test load, and obtain a pre-established MAP based on the subjective scores for each PWM duty cycle under each test load and the psychoacoustic parameters for each PWM duty cycle under each test load.

[0008] Optionally, in some embodiments, a pre-established MAP is obtained based on the subjective rating results for each PWM duty cycle under each test load and the psychoacoustic parameters for each PWM duty cycle under each test load, including: Based on the pre-set Pearson coefficient calculation model, the correlation analysis results are obtained by analyzing the correlation between the psychoacoustic parameters under each PWM duty cycle and the subjective rating results under each PWM duty cycle under each test load. Based on the correlation analysis results, a linear regression model of seat psychoacoustic parameters and subjective ratings was established, and a pre-established MAP map was obtained based on the linear regression model of seat psychoacoustic parameters and subjective ratings.

[0009] Optionally, in some embodiments, the preset Pearson coefficient calculation model is: ; in, This is a subjective evaluation value; This represents the average of subjective evaluations. To objectively evaluate the value of the parameters; is the average value of the objective evaluation parameters; k is the sample size, k=1, 2, ..., 53.

[0010] Optionally, in some embodiments, the target duty cycle is obtained based on a pre-established MAP diagram and the average operating current value, including: Determine the current load based on the average operating current value; The target duty cycle is calculated by interpolation based on the pre-established MAP diagram and the current load.

[0011] A second aspect of this application provides a sound quality control device for a seat motor, comprising: The judgment module is used to determine whether a seat adjustment command has been received; The acquisition module is used to acquire the average operating current value of the current seat motor if a seat adjustment command is received, and to obtain the target duty cycle based on the average operating current value according to a pre-established MAP map. The control module is used to control the current seat motor according to the target duty cycle.

[0012] Optionally, in some embodiments, before obtaining the target duty cycle based on the average operating current value using a preset seat psychoacoustic parameter-subjective rating linear regression model, the acquisition module is further configured to: Determine multiple test loads and multiple PWM duty cycles; Based on each test load, the sound data of the target seat motor under each PWM duty cycle is collected to obtain the motor sound data under each test load and each PWM duty cycle; Acoustic analysis was performed on the motor sound data under each test load and each PWM duty cycle to obtain the psychoacoustic parameters under each test load and each PWM duty cycle. Obtain subjective scores for each PWM duty cycle under each test load, and obtain a pre-established MAP based on the subjective scores for each PWM duty cycle under each test load and the psychoacoustic parameters for each PWM duty cycle under each test load.

[0013] Optionally, in some embodiments, the acquisition module is specifically used for: Based on the pre-set Pearson coefficient calculation model, the correlation analysis results are obtained by analyzing the correlation between the psychoacoustic parameters under each PWM duty cycle and the subjective rating results under each PWM duty cycle under each test load. Based on the correlation analysis results, a linear regression model of seat psychoacoustic parameters and subjective ratings was established, and a pre-established MAP map was obtained based on the linear regression model of seat psychoacoustic parameters and subjective ratings.

[0014] Optionally, in some embodiments, the preset Pearson coefficient calculation model is: ; in, This is a subjective evaluation value; This represents the average of subjective evaluations. To objectively evaluate the value of the parameters; is the average value of the objective evaluation parameters; k is the sample size, k=1, 2, ..., 53.

[0015] Optionally, in some embodiments, the acquisition module is specifically used for: Determine the current load based on the average operating current value; The target duty cycle is calculated by interpolation based on the pre-established MAP diagram and the current load.

[0016] 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. The processor executes the program to implement the sound quality control method for a seat motor described in the first aspect embodiment.

[0017] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the sound quality control method for a seat motor described in the first aspect embodiment.

[0018] This application proposes a subjective and objective target evaluation system and sound quality optimization method for electric seats in a vehicle under full-vehicle conditions. By establishing a connection between subjective and objective factors (subjective evaluation and objective testing), it establishes sound quality evaluation indicators for electric seat adjustment, constructing a complete subjective and objective target evaluation system. Simultaneously, it proposes an evaluation model based on psychoacoustic parameters and subjective evaluation scores, and employs a PWM duty cycle voltage regulation control strategy to adjust the sound quality of the seat under various operating conditions. Therefore, this application's embodiments have at least the following beneficial effects: (1) Significantly improves the consistency and comfort of sound quality: Through pre-calibration, the optimal PWM duty cycle is matched for different working conditions, which directly changes the input power and operating characteristics of the motor and actively controls the generation of noise from the sound source. This makes the sound of the motor running when the seat performs different functions and bears different loads highly similar in terms of core acoustic parameters such as loudness, pitch and sharpness, effectively eliminating the fluctuation of sound quality and significantly improving the auditory comfort of the driver and passengers.

[0019] (2) Optimize user experience and product premium feel: The embodiments of this application achieve the effect of "one-click adjustment, consistent sound". No matter what kind of seat adjustment the user makes, the sound feedback is stable and consistent with expectations. This high degree of certainty eliminates the doubts caused by unpredictable noise, greatly improves the convenience of operation and psychological satisfaction, and enhances the premium feel of the product and brand image.

[0020] (3) Precise control, simple implementation and low cost: This effect is inevitably produced by optimizing and upgrading the function of existing hardware (PWM controller) through software algorithms, without changing the motor body, mechanical structure or adding additional hardware noise reduction equipment (such as soundproof cover). The embodiments of this application make full use of the existing seat control system architecture, which can be achieved by only updating the control strategy and parameter calibration. Therefore, it has the significant advantages of low implementation cost and easy industrialization.

[0021] 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

[0022] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of a sound quality control method for a seat motor according to an embodiment of this application; Figure 2 This is a flowchart of a method for controlling the sound quality of a seat motor according to an embodiment of this application; Figure 3 This is a block diagram of a sound quality control device for a seat motor 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. Detailed Implementation

[0023] 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.

[0024] The following description, with reference to the accompanying drawings, describes a method, apparatus, electronic device, and storage medium for controlling the sound quality of a seat motor according to embodiments of this application.

[0025] Before introducing the sound quality control method of the seat motor in this embodiment, let's briefly introduce the noise control technology of the electric seat adjustment system in related technologies.

[0026] Specifically, noise control technology for vehicle seat electric adjustment systems mainly focuses on two aspects: structural optimization and active noise control (ANC). In terms of structural optimization, optimizing the motor and mechanical structure is the most fundamental method. This primarily involves improving the design of the motor itself (e.g., using more precise gears, reducing carbon brush friction), increasing manufacturing precision, and adding sound insulation materials or vibration damping pads to reduce the physical intensity of noise. Regarding active noise control, related technologies involve installing speakers and error microphones in locations such as the seat headrest and seatbelt. After collecting noise, these microphones emit reverse sound waves to cancel it out, primarily targeting low-frequency, steady-state noise such as engine idling.

[0027] For example, related technologies employ a position feedback-based drive force adjustment strategy to detect the travel position of a motor or mechanism and adjust the motor drive force at predetermined different position points to maintain a constant operating speed.

[0028] Related technologies also focus on optimizing the comfort of the motor during stable operation and rely on complex position feedback methods. A passenger car seat sound quality active control system is proposed. Based on the active noise cancellation principle with opposite phase, the main control center sends out noise signals with opposite phase. After being processed by the secondary source low-pass filter and the secondary noise source amplifier, the signals are transmitted to the seat belt speaker and the left and right headrest speakers through the secondary source speaker interface to cancel the noise around the dummy on the seat. This technology mainly involves active noise reduction to achieve active noise control and has a good suppression effect on wind noise and road noise in the vehicle.

[0029] The related technology also proposes a method for evaluating and optimizing the sound quality of electric vehicle seats. It determines objective quantitative evaluation parameters by using subjective evaluation scores and objective test data of the seats, and then determines objective evaluation results and indicators by using the objective quantitative evaluation parameters.

[0030] However, the drawbacks of the related technologies are that they lack refined management of sound quality in terms of structural optimization; and their effectiveness in regulating the noise of the seat motor itself may be limited in terms of active noise control.

[0031] However, based on the aforementioned problems, this application provides a method for controlling the sound quality of a seat motor. In this method, when a seat adjustment command is received, the average operating current value of the current seat motor is obtained, and a target duty cycle is obtained based on a pre-established MAP. The current seat motor is then controlled according to the target duty cycle. This solves the problem in related technologies that, when adjusting electric seats, neglect the significant differences in the load torque, transmission mechanism friction, and current intensity of the DC motor under different operating conditions, leading to inconsistent acoustic characteristics (i.e., sound quality) of the motor. This method achieves a similar level of sound quality, ensuring that the noise generated by the seat motor is subjectively consistent across various adjustment conditions.

[0032] Specifically, Figure 1 A flowchart illustrating the sound quality control method for a seat motor provided in this application embodiment.

[0033] like Figure 1 As shown, the sound quality control method for the seat motor includes the following steps: In step S101, it is determined whether a seat adjustment command has been received.

[0034] Among them, the seat adjustment command is an instruction initiated by the passenger to adjust dimensions such as seat height and fore-aft distance.

[0035] Specifically, embodiments of this application can identify seat adjustment commands by detecting user operations on physical buttons, touchscreen adjustment icons, voice commands, or remote control commands. For example, taking signal input as an example: when a user presses the horizontal movement button, the electrical signal triggered by the button is transmitted to the Electronic Control Unit (ECU) through the wiring harness, and the ECU thereby receives the corresponding adjustment request signal.

[0036] In step S102, if a seat adjustment command is received, the average operating current value of the current seat motor is obtained, and the target duty cycle is obtained based on the pre-established MAP map and the average operating current value.

[0037] In some embodiments, the target duty cycle is obtained based on the average operating current value according to a pre-established MAP diagram, including: determining the current load based on the average operating current value; and calculating the target duty cycle by interpolation based on the current load according to the pre-established MAP diagram.

[0038] Among them, the average operating current of the motor is the average current value reflecting the real-time load state of the motor; the pre-established MAP is a graph showing the relationship between the seat adjustment parameters and the motor drive parameters; the target duty cycle is the set value of the output pulse duty cycle of the motor drive circuit; and the current load is the resistance or weight that the motor bears in real time during the seat adjustment process.

[0039] Specifically, in this embodiment, the ECU can first read the current average operating current value I_actual of the motor in real time through the current sampling circuit. This current value directly reflects the load torque in the current adjustment process. Then, the ECU compares and interpolates the read I_actual value with the pre-stored MAP map, and then quickly finds the optimal target duty cycle D_target that minimizes the motor operating noise under the current load.

[0040] For example, if I_actual = 35A is measured, and the MAP plot shows that 30A corresponds to a duty cycle of 70% and 40A corresponds to a duty cycle of 80%, then D_target = 75% can be calculated through linear interpolation.

[0041] In step S103, the current seat motor is controlled according to the target duty cycle.

[0042] Specifically, in this embodiment, the ECU can generate a corresponding PWM drive signal based on the determined target duty cycle D_target and output it to the drive circuit of the seat motor. After receiving the signal, the drive circuit adjusts the pulse width of the output voltage according to the duty cycle, thereby controlling the speed and output torque of the motor to complete the precise adjustment of the seat.

[0043] Therefore, when a seat adjustment command is received, the average operating current value of the current seat motor is obtained, and the target duty cycle is calculated based on a pre-established MAP. The current seat motor is then controlled according to the target duty cycle. This solves the problem in related technologies that neglect the inconsistent acoustic characteristics (i.e., sound quality) of DC motors under different operating conditions due to significant differences in load torque, transmission mechanism friction, and current intensity. This ensures that the noise generated by the seat motor under various adjustment conditions is subjectively consistent, achieving a similar level of sound quality.

[0044] Furthermore, to enable those skilled in the art to better understand how the MAP diagram is established in the sound quality control method of the seat motor according to the embodiments of this application, the following description is provided in conjunction with specific embodiments.

[0045] As one possible implementation, in some embodiments, before obtaining the target duty cycle based on the average operating current value in the linear regression model of seat psychoacoustic parameters-subjective rating, the method further includes: determining multiple test loads and multiple PWM duty cycles; based on each test load, collecting sound data of the target seat motor applying each PWM duty cycle to obtain motor sound data under each test load and each PWM duty cycle; performing acoustic analysis on the motor sound data under each test load and each PWM duty cycle to obtain psychoacoustic parameters under each test load and each PWM duty cycle; obtaining subjective rating results under each test load and each PWM duty cycle, and obtaining a pre-established MAP based on the subjective rating results under each test load and each PWM duty cycle and the psychoacoustic parameters under each test load and each PWM duty cycle.

[0046] In some embodiments, a pre-established MAP is obtained based on the subjective rating results and psychoacoustic parameters under each PWM duty cycle for each test load. This includes: analyzing the correlation between the psychoacoustic parameters and the subjective rating results under each PWM duty cycle for each test load based on a pre-defined Pearson coefficient calculation model to obtain correlation analysis results; establishing a linear regression model of seat psychoacoustic parameters-subjective rating based on the correlation analysis results; and obtaining the pre-established MAP based on the linear regression model of seat psychoacoustic parameters-subjective rating.

[0047] Among them, the test load is a set load used to simulate the use of the seat; the PWM duty cycle is the proportion of the high-level duration in the motor drive signal; the sound data is the environmental and equipment operation-related sound information collected during the seat adjustment process; the motor sound data is the sound signal generated by the motor during the start-up, operation, and stop phases; the subjective rating result is the user's subjective evaluation score of the seat's acoustics or comfort; the psychoacoustic parameters are physical indicators that quantify the psychological impact of sound on people; the correlation analysis results are analytical conclusions that reveal the degree of correlation between psychoacoustic parameters and subjective ratings; and the linear regression model of seat psychoacoustic parameters-subjective ratings establishes a quantitative relationship between psychoacoustic parameters and subjective ratings through linear equations.

[0048] Specifically, the embodiments of this application can first conduct experimental calibration: a seat test bench is set up in the laboratory, and different loads (such as 20A, 30A, 40A...) are simulated using a current source. Under each constant load, different PWM duty cycles (such as 30%, 40%, 50%...100%) are scanned, and the motor sound is recorded. Next, psychoacoustic parameter analysis is performed: acoustic analysis software (such as HEAD Artemis) is used to analyze the psychoacoustic parameters of the sound samples at each duty cycle. Then, at least five evaluators are selected to subjectively evaluate the sound quality of the seat's electric adjustment at different duty cycles. The evaluation method is as follows: the subjective evaluation method uses a 10-point scale, with the smallest unit of evaluation score being 0.25 points. The final score is the average of the subjective scores from each evaluation group, and the average score is rounded to 0.25. The scoring criteria can be shown in Table 1, which is a subjective scoring description table provided in one embodiment of this application.

[0049] Table 1

[0050] Furthermore, this application embodiment can establish reference values ​​for subjective and objective parameters. Specifically, by establishing a correlation between subjective and objective test results and performing correlation analysis, the main psychoacoustic indicators affecting subjective evaluation scores are screened out; and based on the relationship between subjective scores and objective indicators, reference values ​​for subjective and objective parameters of seat adjustment sound quality are established. Since the data types between subjective evaluation values ​​and psychoacoustic objective parameters conform to the usage conditions of Pearson correlation analysis, this application embodiment can use Pearson coefficients for statistical analysis to determine whether there is a correlation between the two. The preset Pearson coefficient calculation model is as follows: ; in, This is a subjective evaluation value; This represents the average of subjective evaluations. To objectively evaluate the value of the parameters; is the average value of the objective evaluation parameters; k is the sample size, k=1, 2, ..., 53.

[0051] It should be understood that the absolute value of P is between 0 and 1. Within this range, the larger the absolute value of P, the higher the correlation between the two parameters; conversely, the smaller the absolute value of P, the lower the correlation. Furthermore, in this embodiment, objective psychoacoustic parameters with an absolute value of P greater than 0.7 are used as objective evaluation items, and a linear regression model of seat psychoacoustic parameters and subjective ratings is established. This allows for the generation of a pre-established MAP map based on the seat psychoacoustic parameters-subjective ratings linear regression model. It should be noted that the method for obtaining the pre-established MAP map based on the seat psychoacoustic parameters-subjective ratings linear regression model can employ implementation methods found in related technologies; to avoid redundancy, these will not be elaborated upon here.

[0052] Furthermore, to enable those skilled in the art to better understand the sound quality control method for the seat motor of this application, the following description is provided in conjunction with specific embodiments.

[0053] Figure 2 This is a flowchart illustrating a method for controlling the sound quality of a seat motor, as provided in one embodiment of this application.

[0054] like Figure 2 As shown, the sound quality control method for the seat motor includes the following steps: S201, Initiate the seat sound quality optimization control process.

[0055] S202, Data Acquisition and Processing, specifically includes: test calibration (scanning duty cycle and recording sound under different load conditions), psychoacoustic parameter acquisition (using ArtemiS SUITE to analyze objective parameters such as loudness, sharpness, and roughness), subjective evaluation of sound quality (multiple evaluators conduct subjective evaluations on a 10-point scale to obtain subjective parameters), and data alignment and organization (linking subjective and objective data under specific operating conditions and duty cycles).

[0056] S203, Correlation analysis between subjective ratings and psychoacoustic parameters: If a strong correlation exists, proceed to the next step; otherwise, remove irrelevant parameters.

[0057] S204, perform linear regression modeling: based on strong correlation parameters, Pearson parameter > 0.7, determine the target sound quality, and find the duty cycle corresponding to the highest subjective score under each working condition according to the model.

[0058] S205, Implement integrated control strategy: Burn the database to the seat ECU.

[0059] S206: The ECU queries the database based on real-time collected operating parameters and outputs the optimal duty cycle to drive the motor, achieving the best sound quality.

[0060] S207, process complete, sound quality optimization achieved.

[0061] Specifically, this application takes passenger car seats as the research object. By establishing a mapping relationship model between external operating conditions, duty cycle, and sound quality, the optimal duty cycle corresponding to the "optimal sound quality" or "target sound quality" under each operating condition is determined, and the corresponding control strategy is integrated into the seat controller to achieve sound quality control of the seat under different operating conditions. Specifically, the technical solution of this application can be divided into five parts: Part 1 – Experimental Calibration: In the laboratory, bench testing is conducted under different operating conditions (such as different loads) to scan different duty cycles and simultaneously record motor sounds. Part 2 – Psychoacoustic Parameter Acquisition: Using ArtemiS SUITE software, psychoacoustic parameters such as loudness, sharpness, roughness, vibration, and A-weighted sound pressure level of the seat's electric adjustment sound under various operating conditions are analyzed. Part Three – Subjective Evaluation of Sound Quality under Electric Seat Adjustment Operation: At least five evaluators were selected to subjectively evaluate the sound quality of the electric seat adjustment operation under different duty cycles. The evaluation method used a 10-point scale, with a minimum score of 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. Part Four – Establishment of Reference Values ​​for Subjective and Objective Parameters: A relationship was established between subjective and objective test results, correlation analysis was conducted, and the main psychoacoustic indicators affecting the subjective evaluation score were identified. Based on the relationship between subjective scores and objective indicators, reference values ​​for subjective and objective parameters of seat adjustment sound quality were established, and the correlation between subjective evaluation values ​​and psychoacoustic objective parameters was analyzed. Since the data types of subjective evaluation values ​​and psychoacoustic objective parameters conform to the conditions for using Pearson correlation analysis, this embodiment uses the Pearson coefficient for statistical analysis to clarify whether there is a correlation between the two. Part 5 – Database Construction and Actual Operation: The above data is organized into a multidimensional lookup table (MAP) and stored in the ECU. The database takes operating parameters (such as current value and adjustment direction) as input and the target duty cycle as output.

[0062] According to the sound quality control method for a seat motor proposed in this application, when a seat adjustment command is received, the average operating current value of the current seat motor is obtained, and the target duty cycle is obtained based on a pre-established MAP. The current seat motor is then controlled according to the target duty cycle. This solves the problem in related technologies where, when adjusting an electric seat, the significant differences in load torque, transmission mechanism friction, and current intensity of the DC motor under different operating conditions lead to inconsistent acoustic characteristics (i.e., sound quality). This method ensures that the noise generated by the seat motor under various adjustment conditions is subjectively consistent, achieving a similar sound quality level.

[0063] Next, the sound quality control device for the seat motor proposed in the embodiments of this application is described with reference to the accompanying drawings.

[0064] Figure 3 This is a block diagram of the sound quality control device for a seat motor proposed in an embodiment of this application.

[0065] like Figure 3 As shown, the sound quality control device 10 of the seat motor includes: a judgment module 100, an acquisition module 200 and a control module 300.

[0066] The system includes a judgment module 100 for determining whether a seat adjustment command has been received; an acquisition module 200 for acquiring the average operating current value of the current seat motor if a seat adjustment command has been received, and obtaining the target duty cycle based on the average operating current value according to a pre-established MAP; and a control module 300 for controlling the current seat motor according to the target duty cycle.

[0067] Optionally, in some embodiments, before obtaining the target duty cycle based on the average operating current value in the linear regression model of seat psychoacoustic parameters-subjective rating, the acquisition module 200 is further configured to: determine multiple test loads and multiple PWM duty cycles; based on each test load, collect sound data of the target seat motor applying each PWM duty cycle to obtain motor sound data under each test load and each PWM duty cycle; perform acoustic analysis on the motor sound data under each test load and each PWM duty cycle to obtain psychoacoustic parameters under each test load and each PWM duty cycle; obtain subjective rating results under each test load and each PWM duty cycle, and obtain a pre-established MAP based on the subjective rating results under each test load and each PWM duty cycle and the psychoacoustic parameters under each test load and each PWM duty cycle.

[0068] Optionally, in some embodiments, the acquisition module 200 is specifically used to: analyze the correlation between the psychoacoustic parameters under each PWM duty cycle and the subjective rating results under each PWM duty cycle under each test load based on a preset Pearson coefficient calculation model to obtain correlation analysis results; establish a linear regression model of seat psychoacoustic parameters-subjective rating based on the correlation analysis results, and obtain a pre-established MAP map based on the linear regression model of seat psychoacoustic parameters-subjective rating.

[0069] Optionally, in some embodiments, the preset Pearson coefficient calculation model is: ; in, This is a subjective evaluation value; This represents the average of subjective evaluations. To objectively evaluate the value of the parameters; is the average value of the objective evaluation parameters; k is the sample size, k=1, 2, ..., 53.

[0070] Optionally, in some embodiments, the acquisition module 200 is specifically used to: determine the current load based on the average operating current value; and calculate the target duty cycle based on the current load by interpolation according to a pre-established MAP diagram.

[0071] It should be noted that the explanation of the aforementioned embodiment of the sound quality control method for the seat motor also applies to the sound quality control device for the seat motor in this embodiment, and will not be repeated here.

[0072] According to the sound quality control device for a seat motor proposed in this application, when a seat adjustment command is received, the average operating current value of the current seat motor is obtained, and a target duty cycle is obtained based on a pre-established MAP. The current seat motor is then controlled according to the target duty cycle. This solves the problem in related technologies where, when adjusting an electric seat, the significant differences in load torque, transmission mechanism friction, and current intensity of the DC motor under different operating conditions lead to inconsistent acoustic characteristics (i.e., sound quality). This achieves a similar level of sound quality, ensuring that the noise generated by the seat motor is subjectively consistent across various adjustment conditions.

[0073] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0074] When the processor 402 executes the program, it implements the sound quality control method for the seat motor provided in the above embodiments.

[0075] Furthermore, the electronic device also includes: Communication interface 403 is used for communication between memory 401 and processor 402.

[0076] The memory 401 is used to store computer programs that can run on the processor 402.

[0077] Memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0078] 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.

[0079] 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.

[0080] 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.

[0081] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following... Figure 1 The method for controlling the sound quality of the seat motor is shown.

[0082] 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.

[0083] 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.

[0084] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0085] 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, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0086] 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.

[0087] 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.

[0088] 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.

[0089] 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 controlling the sound quality of a seat motor, characterized in that, Includes the following steps: Determine if a seat adjustment command has been received; If the seat adjustment command is received, the average operating current value of the current seat motor is obtained, and the target duty cycle is obtained based on the pre-established MAP map and the average operating current value. The current seat motor is controlled according to the target duty cycle.

2. The method according to claim 1, characterized in that, In the linear regression model based on preset seat psychoacoustic parameters and subjective ratings, before obtaining the target duty cycle from the average operating current value, the following steps are also included: Determine multiple test loads and multiple PWM duty cycles; Based on each test load, the sound data of the target seat motor under each PWM duty cycle is collected to obtain the motor sound data under each test load and each PWM duty cycle; Acoustic analysis was performed on the motor sound data under each PWM duty cycle for each test load to obtain the psychoacoustic parameters for each PWM duty cycle under each test load. Obtain the subjective rating results for each PWM duty cycle under each test load, and obtain the pre-established MAP based on the subjective rating results for each PWM duty cycle under each test load and the psychoacoustic parameters for each PWM duty cycle under each test load.

3. The method according to claim 2, characterized in that, The process of obtaining the pre-established MAP based on the subjective scoring results and psychoacoustic parameters for each PWM duty cycle under each test load includes: Based on the preset Pearson coefficient calculation model, the correlation between the psychoacoustic parameters under each PWM duty cycle and the subjective rating results under each PWM duty cycle under each test load is analyzed to obtain the correlation analysis results; Based on the correlation analysis results, a linear regression model of seat psychoacoustic parameters-subjective ratings is established, and the pre-established MAP map is obtained based on the linear regression model of seat psychoacoustic parameters-subjective ratings.

4. The method according to claim 3, characterized in that, The preset Pearson coefficient calculation model is as follows: ； in, This is a subjective evaluation value; This represents the average of subjective evaluations. To objectively evaluate the value of the parameters; is the average value of the objective evaluation parameters; k is the sample size.

5. The method according to claim 1, characterized in that, The method of obtaining the target duty cycle based on the pre-established MAP diagram and the average operating current value includes: The current load is determined based on the average operating current value; Based on the pre-established MAP map, the target duty cycle is calculated by interpolation according to the current load.

6. A sound quality control device for a seat motor, characterized in that, include: The judgment module is used to determine whether a seat adjustment command has been received; The acquisition module is used to acquire the average operating current value of the current seat motor when the seat adjustment command is received, and to obtain the target duty cycle based on the average operating current value according to the pre-established MAP map. The control module is used to control the current seat motor according to the target duty cycle.

7. The apparatus according to claim 6, characterized in that, In the linear regression model based on preset seat psychoacoustic parameters and subjective ratings, before obtaining the target duty cycle based on the average operating current value, the acquisition module is further configured to: Determine multiple test loads and multiple PWM duty cycles; Based on each test load, the sound data of the target seat motor under each PWM duty cycle is collected to obtain the motor sound data under each test load and each PWM duty cycle; Acoustic analysis was performed on the motor sound data under each PWM duty cycle for each test load to obtain the psychoacoustic parameters for each PWM duty cycle under each test load. Obtain the subjective rating results for each PWM duty cycle under each test load, and obtain the pre-established MAP based on the subjective rating results for each PWM duty cycle under each test load and the psychoacoustic parameters for each PWM duty cycle under each test load.

8. The apparatus according to claim 6, characterized in that, The acquisition module is specifically used for: Based on the preset Pearson coefficient calculation model, the correlation between the psychoacoustic parameters under each PWM duty cycle and the subjective rating results under each PWM duty cycle under each test load is analyzed to obtain the correlation analysis results; Based on the correlation analysis results, a linear regression model of seat psychoacoustic parameters-subjective ratings is established, and the pre-established MAP map is obtained based on the linear regression model of seat psychoacoustic parameters-subjective ratings.

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 sound quality control method for a seat motor as described in any one of claims 1-5.

10. A computer-readable storage medium storing a computer program, characterized in that, When the program is executed by the processor, it implements the sound quality control method for the seat motor as described in any one of claims 1-5.

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