Noise reduction method and device based on motor noise test
By acquiring motor signals on an electric drive system test bench and performing FFT analysis, the noise overlap region was determined, and the switching frequency and speed were adjusted, thus solving the problem of noise overlap in new energy vehicle motors and achieving efficient noise reduction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-28
- Publication Date
- 2026-03-17
AI Technical Summary
Existing technologies are insufficient to accurately identify and resolve the noise overlap phenomenon of permanent magnet synchronous motors in new energy vehicles after frequency conversion in the weak magnetic field zone, resulting in excessive noise on the test bench and vehicle-wide whistling.
By acquiring the motor's current and noise signals on the electric drive system test bench, performing Fast Fourier Transform (FFT) analysis, generating current harmonic and noise harmonic distribution maps, determining the noise overlap region, and adjusting the switching frequency and/or speed based on the noise information.
It achieves precise location of the overlapping area of current harmonics and motor noise, and makes targeted adjustments to the switching frequency and speed, effectively reducing noise and solving the noise overlap problem.
Smart Images
Figure CN121689901A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of new energy vehicle noise reduction technology, and in particular to a noise reduction method and device based on motor noise testing, an electronic device, a computer readable storage medium and a computer program product. BACKGROUND
[0002] With the rapid development of the new energy vehicle industry, users have increasingly stringent requirements for driving comfort, and noise caused by the motor system has become a key factor affecting product competitiveness. Unlike the noise of traditional fuel vehicle engines, the noise of permanent magnet synchronous motors of new energy vehicles is mainly composed of order noise and switching frequency noise. In particular, when the motor enters the field weakening region, the inverter frequency control will dynamically adjust the switching frequency, and the switching frequency noise and the motor main order noise in some speed intervals are prone to coincide and superimpose, resulting in excessive noise on the test bench and whistling of the whole vehicle. The existing technology focuses on the suppression of a single noise source, lacks precise identification of the noise coincidence phenomenon after the switching frequency is varied in the field weakening region and targeted solutions, and is difficult to solve such compound noise problems from the root. SUMMARY
[0003] The present application aims to at least partially solve one of the technical problems in the related art.
[0004] To this end, the first object of the present application is to propose a noise reduction method based on motor noise testing, which can accurately locate the coincidence area of current harmonics and motor noise, and adjust the switching frequency and / or speed accordingly to achieve efficient and reproducible noise reduction.
[0005] The second object of the present application is to propose a noise reduction device based on motor noise testing.
[0006] The third object of the present application is to propose an electronic device.
[0007] The fourth object of the present application is to propose a computer readable storage medium.
[0008] The fifth object of the present application is to propose a computer program product.
[0009] To achieve the above-mentioned objects, the first aspect of the present application proposes a noise reduction method based on motor noise testing, comprising the following steps: on an electric drive system test bench, controlling a motor to be tested to operate according to a preset test condition, so that the motor to be tested enters a test state; in the test state, acquiring current signals and noise signals of the motor to be tested respectively; performing fast Fourier transform (FFT) analysis on the current signals and the noise signals respectively to generate a current harmonic distribution graph and a noise harmonic distribution graph of the motor to be tested; determining a noise coincidence area based on the current harmonic distribution graph and the noise harmonic distribution graph; and adjusting the switching frequency and / or speed of the motor according to the noise information of the noise coincidence area.
[0010] According to the motor noise test-based noise reduction method provided in the embodiments of the present application, first, the motor to be tested is controlled to operate according to a preset test working condition on a motor drive system test bench, so that the motor to be tested enters a test state, then the current signal and the noise signal of the motor to be tested are acquired respectively, and fast Fourier transform (FFT) analysis is performed on the current signal and the noise signal respectively to generate a current harmonic distribution diagram and a noise harmonic distribution diagram of the motor to be tested, so as to determine a noise overlap region, and finally the switching frequency and / or the rotating speed of the motor are adjusted according to the noise information of the noise overlap region. In this way, the noise overlap region of the current harmonic and the motor noise can be accurately located, the switching frequency and / or the rotating speed can be adjusted accordingly, and efficient and reproducible noise reduction is achieved.
[0011] In addition, the motor noise test-based noise reduction method provided in the embodiments of the present application can have the following additional technical features: In one embodiment of the present application, the noise overlap region is a region where the motor switching frequency noise and the motor main order noise overlap.
[0012] In one embodiment of the present application, the noise overlap region is determined based on the current harmonic distribution diagram and the noise harmonic distribution diagram, including: analyzing the current harmonic distribution diagram according to a first preset analysis algorithm to determine a plurality of first target regions of the motor switching frequency noise; analyzing the noise harmonic distribution diagram according to a second preset analysis algorithm to determine a plurality of second target regions of the motor main order noise; and comparing and analyzing the plurality of first target regions and the plurality of second target regions to determine the noise overlap region.
[0013] In one embodiment of the present application, the switching frequency and / or the rotating speed of the motor are adjusted according to the noise information of the noise overlap region, including: optimizing the control strategy of the motor according to the noise information of the noise overlap region, and adjusting the switching frequency and / or the rotating speed of the motor according to the optimized control strategy.
[0014] In one embodiment of the present application, the current signal and the noise signal of the motor to be tested are acquired respectively, including: synchronously collecting the current signal and the noise signal of the motor to be tested at a preset sampling time, wherein the current signal of the motor to be tested is collected by a high-frequency flexible current probe, and the noise signal of the motor to be tested is collected by a microphone.
[0015] In one embodiment of the present application, the parameters of the high-frequency flexible current probe and the microphone are set according to the preset test working condition.
[0016] To achieve the above objectives, a second aspect of this application proposes a noise reduction device based on motor noise testing, comprising: a control module for controlling the motor under test to operate according to preset test conditions on an electric drive system test bench, so that the motor under test enters the test state; an acquisition module for acquiring the current signal and noise signal of the motor under test respectively in the test state; an analysis module for performing Fast Fourier Transform (FFT) analysis on the current signal and noise signal respectively to generate a current harmonic distribution map and a noise harmonic distribution map of the motor under test; a determination module for determining the noise overlap region based on the current harmonic distribution map and the noise harmonic distribution map; and an adjustment module for adjusting the switching frequency and / or speed of the motor according to the noise information of the noise overlap region.
[0017] According to the noise reduction device based on motor noise testing according to the embodiments of this application, the control module controls the motor under test to operate according to preset test conditions on the electric drive system test bench, so that the motor under test enters the test state. Then, the acquisition module acquires the current signal and noise signal of the motor under test respectively, and the analysis module performs Fast Fourier Transform (FFT) analysis to generate the current harmonic distribution map and noise harmonic distribution map of the motor under test. The determination module identifies the noise overlap region, and finally, the adjustment module adjusts the switching frequency and / or speed of the motor according to the noise information of the noise overlap region. Thus, the overlap region of current harmonics and motor noise can be accurately located, and the switching frequency and / or speed can be adjusted in a targeted manner to achieve efficient and reproducible noise reduction.
[0018] To achieve the above objectives, 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. When the processor executes the program, it implements any of the above-mentioned noise reduction methods based on motor noise testing.
[0019] The electronic device of this application implements any of the above-mentioned noise reduction methods based on motor noise testing when the processor executes a computer program. This achieves precise location of the overlapping area between current harmonics and motor noise, targeted adjustment of switching frequency and / or speed, and ultimately achieves efficient and reproducible noise reduction.
[0020] To achieve the above objectives, 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 any of the above-described noise reduction methods based on motor noise testing.
[0021] According to the embodiments of this application, a computer-readable storage medium storing a computer program thereon implements any of the above-mentioned noise reduction methods based on motor noise testing when executed by a processor. Based on the above-mentioned noise reduction methods based on motor noise testing, the overlapping area of current harmonics and motor noise is accurately located, and the switching frequency and / or speed are adjusted in a targeted manner, ultimately achieving efficient and reproducible noise reduction.
[0022] To achieve the above objectives, a fifth aspect of this application provides a computer program product, including a computer program that, when executed by a processor, implements any of the above-described noise reduction methods based on motor noise testing.
[0023] The computer program product according to the embodiments of this application implements any of the above-mentioned noise reduction methods based on motor noise testing when the computer program is executed. Based on the above-mentioned noise reduction methods based on motor noise testing, it is possible to accurately locate the overlapping area of current harmonics and motor noise, and to adjust the switching frequency and / or speed in a targeted manner, thereby achieving efficient and reproducible noise reduction.
[0024] 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
[0025] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a noise reduction method based on motor noise testing according to some embodiments of this application; Figure 2 This is a flowchart illustrating a noise reduction method based on motor noise testing according to a specific embodiment of this application; Figure 3 This is an FFT spectrum analysis diagram of a current signal according to an embodiment of this application; Figure 4 This is a comparison analysis of the current and noise spectrum before optimization of the switching frequency strategy according to an embodiment of this application; Figure 5 This is a comparative analysis of the current and noise spectrum after the switching frequency strategy is optimized according to an embodiment of this application; Figure 6 This is a comparison diagram of the main order noise of the motor before and after optimization of the switching frequency strategy according to an embodiment of this application; Figure 7 A block diagram illustrating a noise reduction method based on motor noise testing according to some embodiments of this application; and Figure 8 This is a block diagram of an electronic device according to some embodiments of this application. Detailed Implementation
[0026] 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.
[0027] The following description, with reference to the accompanying drawings, describes a noise reduction method, apparatus, electronic device, computer-readable storage medium, and computer program product based on motor noise testing according to embodiments of this application.
[0028] The noise reduction method based on motor noise testing provided in this disclosure can be executed by an electronic device, such as a mobile phone, tablet computer, PDA, or server, etc., without any limitation.
[0029] In this embodiment of the disclosure, the electronic device may include a processing component, a storage component, and a driving component. Optionally, the driving component and the processing component may be integrated, and the storage component may store an operating system, application programs, or other program modules. The processing component implements the noise reduction method based on motor noise testing provided in this embodiment of the disclosure by executing the application programs stored in the storage component.
[0030] like Figure 1 As shown, the noise reduction method based on motor noise testing in this application embodiment may include the following steps: Step S1: On the electric drive system test bench, control the motor under test to operate according to the preset test conditions so that the motor under test enters the test state. The preset test conditions can be calibrated according to the actual situation.
[0031] It should be noted that the "preset test conditions" described in this embodiment refer to a set of operating commands pre-set in the control system to reveal the noise characteristics of the motor under test. The purpose is to systematically operate the motor under various typical states that may generate noise, rather than operating it in a single, arbitrary manner.
[0032] Motor noise testing requires extremely high levels of environmental sealing and sound insulation. To avoid interference from external environmental noise and ensure the accuracy and reliability of noise data, the tests in this step must be conducted in an anechoic chamber. An anechoic chamber effectively absorbs sound waves, reduces reflected noise and ambient background noise, providing an ideal low-noise environment for testing.
[0033] After completing the test environment setup and sensor arrangement, the control system issues commands for preset test conditions to the motor under test, driving its operation. The purpose is to bring the motor under test from a stationary or initial state into a controlled and stable "test state" so that subsequent signal acquisition can be performed in this state.
[0034] Specifically, noise signal acquisition relies on specialized microphone equipment. As the core noise measurement component, the validity of the microphone's measurement data directly determines the accuracy of subsequent noise reduction analysis. Therefore, the microphone placement must strictly adhere to the specific requirements of the test outline. If the test outline does not specify otherwise, it must comply with relevant national or industry noise testing standards.
[0035] Step S2: Under test conditions, acquire the current signal and noise signal of the motor under test.
[0036] Specifically, after the motor under test operates according to the preset test conditions and enters the test state, the data acquisition and analysis system can be started to synchronously acquire the current signal and noise signal of the motor under test according to the preset sampling time. Among them, the current signal can be acquired through a current sensor, and the noise signal can be acquired through a microphone (i.e., a sound sensor). The preset sampling time can be calibrated according to the actual situation.
[0037] Step S3: Perform Fast Fourier Transform (FFT) analysis on the current signal and noise signal respectively to generate the current harmonic distribution map and noise harmonic distribution map of the motor under test.
[0038] Specifically, after acquiring the time-domain synchronized current signal and noise signal, the data acquisition and analysis system performs fast Fourier transform analysis on both, converting the time-domain signal to the frequency domain to extract its frequency component characteristics and generate corresponding current harmonic distribution maps and noise harmonic distribution maps.
[0039] To ensure the accuracy and effectiveness of FFT analysis, precise configuration of the analysis parameters is necessary. Preferably, the data acquisition and analysis system sets an appropriate frequency resolution during FFT calculations to distinguish closely adjacent harmonic components; typically, the FFT block size is no less than 8192 points. Simultaneously, a windowing function, such as the Hanning window, should be used to reduce spectral leakage. To capture the steady-state characteristics of the signal, both current and noise signals can be processed using linear averaging.
[0040] Step S4: Based on the current harmonic distribution map and the noise harmonic distribution map, determine the noise overlap region. The noise overlap region can be the overlap region of the motor switching frequency noise and the motor's main order noise.
[0041] It should be noted that the noise overlap region described in this embodiment refers to the operating range within which current harmonics (such as switching frequency harmonics) and the inherent structural noise (primary order noise) of the motor are coupled in the frequency and speed domains, resulting in a significant increase in noise energy.
[0042] Specifically, after completing the above FFT analysis and generating harmonic distribution maps of current and noise, the two are compared and analyzed through the data acquisition and analysis system to formally define the key noise overlap area, so as to carry out subsequent coherence analysis and noise reduction in this area.
[0043] Step S5: Adjust the switching frequency and / or speed of the motor based on the noise information of the noise overlap area.
[0044] Specifically, after defining the noise overlap region in step S4, the motor control strategy is optimized based on the noise information of the overlap region, and the switching frequency and / or speed of the motor is adjusted according to the optimized control strategy. For example, when it is diagnosed that the noise overlap is caused by a specific switching frequency (e.g., 15f) exciting the main order noise (e.g., the 48th order) within a specific speed range, the optimization direction is to adjust the switching frequency from the problematic 15f to an adjacent frequency point (e.g., 12f or 18f) that is not coupled with the main order noise within that speed range, thereby avoiding the generation of resonance noise from the source of electromagnetic excitation. Similarly, the resonance point can also be avoided by fine-tuning the speed control strategy.
[0045] This embodiment first controls the motor under test (MAT) to operate according to preset test conditions on an electric drive system test bench, bringing the MAT into the test state. Then, the current signal and noise signal of the MAT are acquired and analyzed using Fast Fourier Transform (FFT) to generate current harmonic distribution maps and noise harmonic distribution maps of the MAT, thus identifying the noise overlap region. Finally, based on the noise information of the overlap region, the switching frequency and / or speed of the motor are adjusted. This allows for precise location of the overlap region between current harmonics and motor noise, enabling targeted adjustment of the switching frequency and / or speed, achieving efficient and reproducible noise reduction.
[0046] In some embodiments of this application, determining the noise overlap region based on the current harmonic distribution map and the noise harmonic distribution map includes: analyzing the current harmonic distribution map according to a first preset analysis algorithm to determine multiple first target regions of motor switching frequency noise; analyzing the noise harmonic distribution map according to a second preset analysis algorithm to determine multiple second target regions of motor main order noise; and comparing and analyzing the multiple first target regions and the multiple second target regions to determine the noise overlap region. The first preset analysis algorithm and the second preset analysis algorithm can be calibrated according to actual conditions.
[0047] Specifically, the first preset analysis algorithm described in this embodiment includes, but is not limited to, setting an amplitude threshold (e.g., higher than a specific percentage of the fundamental current), identifying local peaks, and performing peak clustering. The system scans the current harmonic distribution map to locate frequency points where harmonic energy exceeds the threshold, and classifies these frequency points into a first target region surrounding a specific switching frequency (e.g., 6f, 12f, 15f, 18f, etc.) based on their multiple relationship with the fundamental switching frequency. The second preset analysis algorithm includes, but is not limited to, setting a sound pressure level threshold, performing order tracking and extraction, and identifying local peaks on order slices. In the noise harmonic distribution map, the system identifies and marks the main order lines (e.g., 48th order noise) where the sound pressure level exceeds a preset background noise level by a certain decibel value (e.g., above 15 dB), and defines the intervals where the sound pressure level abnormally bulges on these order lines as the second target region. Then, the system compares and analyzes the first target region with the second target region generated in step 2, identifying areas where the first and second target regions completely cover or highly overlap, i.e., noise overlap regions. In some embodiments of this application, adjusting the switching frequency and / or speed of the motor based on noise information of the noise overlap region includes: optimizing the control strategy of the motor based on the noise information of the noise overlap region, and adjusting the switching frequency and / or speed of the motor based on the optimized control strategy.
[0048] Specifically, optimizing control strategies includes, but is not limited to, one or more of the following methods: modifying the switching frequency mapping table to recalibrate the correspondence between the switching frequency and operating conditions within the noise overlap region. For example, in the problematic speed range, the switching frequency is modified from a fixed value to a function that changes smoothly with the operating conditions, or it is switched to a preset safe frequency that will not cause resonance; updating the speed control curve, and, where permissible, fine-tuning the target speed curve of the motor so that it can quickly cross the identified noise overlap speed range during acceleration or steady-speed operation, thereby avoiding the continuous generation of strong noise in that range.
[0049] In some embodiments of this application, the current signal and noise signal of the motor under test are acquired separately, including: synchronously acquiring the current signal and noise signal of the motor under test according to the sampling time, wherein the current signal of the motor under test is acquired by a high-frequency flexible current probe and the noise signal of the motor under test is acquired by a microphone.
[0050] Specifically, the aforementioned noise signals can be acquired through the microphone (sound sensor) measurement points precisely arranged in step S1, and the sound pressure signals measured by each microphone can be recorded using a data acquisition system. The aforementioned current signals can be acquired through a high-frequency flexible current probe (current sensor). Specifically, the three-phase electrical connection of the electric drive assembly is compact and has limited space; therefore, the openable flexible ring structure of the high-frequency flexible current probe is very suitable for installation in this confined testing environment. Simultaneously, its high measurement bandwidth can accurately capture high-frequency harmonic components in the current waveform. Depending on the actual situation, the high-frequency flexible current probe can be clamped onto any one of the three-phase current conductors (U, V, W) of the motor for measurement.
[0051] In some embodiments of the application, the parameters of the high-frequency flexible current probe and the microphone are set according to preset test conditions.
[0052] It should be noted that the current signal and noise signal of the motor under test described in the above embodiments can be acquired by the data acquisition system through a high-frequency flexible current probe and a microphone.
[0053] Specifically, in this embodiment, to ensure the quality of the acquired signal, the data acquisition system and sensors need to be precisely configured. The selected data acquisition and analysis system should have an A / D conversion resolution of no less than 24 bits and a data sampling capability of at least 51.2 kHz to record signal details with high fidelity. Before acquisition begins, relevant parameters, such as input format and sensitivity, need to be set according to the specifications of the current sensor. The sampling rate of the current sensor should be set according to the experimental requirements and should be set as high as possible to accurately acquire the current waveform signal. The microphone also needs to have its sensitivity and other parameters set according to its model.
[0054] As a specific embodiment of this application, such as Figure 2 As shown, the noise reduction method based on motor noise testing may include the following steps: S110, build an electric drive system test bench.
[0055] Specifically, to ensure the accuracy and representativeness of the test, the test bench should have high-precision speed and torque control capabilities, and the motor should be connected to the drive system to eliminate interference from other vibration sources.
[0056] S120, sensor placement and parameter setting: current sensor, microphone, CAN signal acquisition, etc.
[0057] Specifically, in this embodiment, to ensure the quality of the acquired signal, the A / D conversion resolution of the data acquisition and analysis system should be no less than 24 bits, and it should have a data sampling capability of at least 51.2 kHz. The current probe and microphone need to be connected to the same system, and a unified sampling clock should be used to ensure signal synchronization.
[0058] S130, Operating test conditions and data acquisition.
[0059] Specifically, the system synchronously collects current, noise, and CAN signals according to preset sampling times, and fully records the motor's status within a complete operating cycle.
[0060] S140, analyze and process experimental data.
[0061] S151, FFT analysis of noise signal and order signal.
[0062] Specifically, in this embodiment, the system performs FFT analysis on the acquired time-domain current signal. After the 8-pole 48-slot permanent magnet synchronous motor enters the field weakening region, the switching frequency control strategy changes from fixed-frequency control to variable-frequency control. The frequency is generally 9f, 12f, 15f, or 18f (where f is the motor's electrical frequency). Figure 3 The multiple yellow circles indicate harmonics corresponding to the theoretical harmonics mentioned above. Based on this, representative peak values of prominent current harmonics with significant amplitudes within the weak magnetic field region were located, such as... Figure 4 As shown in the yellow circle, this peak value is the primary excitation source for subsequent electromagnetic noise.
[0063] S152, FFT analysis of current signal.
[0064] Specifically, in this embodiment, the system performs FFT analysis on the acquired time-domain noise signal and identifies the main order noise of the motor that stands out in the weak magnetic region through the noise FFT spectrum. The main orders of the electromagnetic force waves of the aforementioned 8-pole 48-slot motor are the 24th and 48th orders. Figure 4 The yellow circle in the middle shows the prominent 48th-order main-order noise peak of the motor.
[0065] S160, confirm the area where the switching frequency noise and the main order noise of the motor overlap.
[0066] Specifically, in this embodiment, a comparative analysis is performed based on the two harmonic distribution maps generated in S151 / S152. For example... Figure 3 As shown, the amplitude of the persistent 48th-order motor main order noise exhibits an abnormal peak in a specific speed range (such as 3200-3800 rpm), and this range coincides with the range covered by the 15f switching frequency current harmonic. This proves that the 15f switching frequency current is the main source of the 48th-order electromagnetic noise in this speed range. Based on this, the coupling range can be identified as the noise overlap region.
[0067] S170, optimized switching frequency control strategy in the weak magnetic zone.
[0068] Specifically, in this embodiment, the switching frequency mapping table of the field weakening zone in the motor controller can be recalibrated, and the switching frequency in the problematic speed range can be adjusted from 15f, which causes resonance, to 12f or 18f, in order to avoid the sensitive point.
[0069] S180, verifying the noise of the electric drive test bench.
[0070] Specifically, in this embodiment, the unoptimized ( Figure 4 ), after optimization ( Figure 5 By comparing the spectrum diagrams of the two sources, it can be clearly seen that the prominent 15f switching frequency current harmonics and the 48th-order noise peak have been significantly reduced or disappeared in the previously overlapping region. Figure 6 As shown, the main order noise of the motor before and after the switching frequency strategy optimization is compared. Within the speed range corresponding to the noise overlap region, the optimized 48th order noise is significantly reduced compared to the unoptimized version. This proves that the optimized switching frequency control strategy is effective and has a significant noise reduction effect, thus verifying the practicality and efficiency of this method in solving specific electromagnetic noise problems.
[0071] In summary, the noise reduction method based on motor noise testing according to the embodiments of this application first controls the motor under test to operate according to preset test conditions on an electric drive system test bench, bringing the motor under test into the test state. Then, the current signal and noise signal of the motor under test are acquired and analyzed by Fast Fourier Transform (FFT) to generate the current harmonic distribution map and noise harmonic distribution map of the motor under test, thereby determining the noise overlap region. Finally, based on the noise information of the noise overlap region, the switching frequency and / or speed of the motor are adjusted. Therefore, the overlap region of current harmonics and motor noise can be accurately located, and the switching frequency and / or speed can be adjusted accordingly, achieving efficient and reproducible noise reduction.
[0072] Corresponding to the above embodiments, this application also proposes a noise reduction device based on motor noise testing.
[0073] like Figure 7 As shown, the noise reduction device 200 based on motor noise testing in this application embodiment includes: a control module 210, an acquisition module 220, an analysis module 230, a determination module 240, and an adjustment module 250.
[0074] The control module 210 is used to control the motor under test to operate according to preset test conditions on the electric drive system test bench, so that the motor under test enters the test state; the acquisition module 220 is used to acquire the current signal and noise signal of the motor under test in the test state; the analysis module 230 is used to perform Fast Fourier Transform (FFT) analysis on the current signal and noise signal respectively to generate the current harmonic distribution map and noise harmonic distribution map of the motor under test; the determination module 240 is used to determine the noise overlap region based on the current harmonic distribution map and noise harmonic distribution map; and the adjustment module 250 is used to adjust the switching frequency and / or speed of the motor according to the noise information of the noise overlap region.
[0075] According to one embodiment of this application, the determining module 240 is further configured to: analyze the current harmonic distribution map according to a first preset analysis algorithm to determine multiple first target regions of motor switching frequency noise; analyze the noise harmonic distribution map according to a second preset analysis algorithm to determine multiple second target regions of motor main order noise; and perform comparative analysis on the multiple first target regions and the multiple second target regions to determine noise overlap regions.
[0076] According to one embodiment of this application, the adjustment module 250 is further configured to: adjust the switching frequency and / or speed of the motor according to the noise information of the noise overlap region, including optimizing the control strategy of the motor according to the noise information of the noise overlap region, and adjusting the switching frequency and / or speed of the motor according to the optimized control strategy.
[0077] According to one embodiment of this application, the acquisition module 220 is further configured to: acquire the current signal and noise signal of the motor under test respectively, including synchronously acquiring the current signal and noise signal of the motor under test according to a preset sampling time, wherein the current signal of the motor under test is acquired by a high-frequency flexible current probe and the noise signal of the motor under test is acquired by a microphone.
[0078] It should be noted that the above explanation of the embodiments and beneficial effects of the vehicle reducer housing topology optimization method also applies to the vehicle reducer housing topology optimization device of this application. To avoid redundancy, it will not be elaborated in detail here.
[0079] In summary, the noise reduction device based on motor noise testing according to the embodiments of this application controls the motor under test to operate according to preset test conditions on an electric drive system test bench via a control module, bringing the motor under test into the test state. Then, an acquisition module acquires the current signal and noise signal of the motor under test, and an analysis module performs Fast Fourier Transform (FFT) analysis to generate current harmonic distribution maps and noise harmonic distribution maps of the motor under test. A determination module identifies the noise overlap region, and finally, an adjustment module adjusts the switching frequency and / or speed of the motor based on the noise information of the overlap region. Therefore, it is possible to accurately locate the overlap region between current harmonics and motor noise, and to specifically adjust the switching frequency and / or speed, achieving efficient and reproducible noise reduction.
[0080] Corresponding to the above embodiments, this application also proposes an electronic device.
[0081] like Figure 8 As shown, the electronic device 300 of this application embodiment includes a memory 310, a processor 320, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement any of the above-mentioned noise reduction methods based on motor noise testing.
[0082] The electronic device according to the embodiments of this application implements any of the above-mentioned noise reduction methods based on motor noise testing when the processor executes a computer program. This achieves precise location of the overlapping area of current harmonics and motor noise, targeted adjustment of switching frequency and / or speed, and ultimately achieves efficient and reproducible noise reduction.
[0083] Corresponding to the above embodiments, this application also proposes a computer-readable storage medium.
[0084] The computer-readable storage medium of this application embodiment stores a computer program thereon, which is executed by a processor to implement any of the above-described noise reduction methods based on motor noise testing.
[0085] According to the embodiments of this application, a computer-readable storage medium storing a computer program thereon implements any of the above-mentioned noise reduction methods based on motor noise testing when executed by a processor. This achieves precise location of the overlapping area between current harmonics and motor noise, targeted adjustment of switching frequency and / or speed, and ultimately achieves efficient and reproducible noise reduction.
[0086] Corresponding to the above embodiments, this application also proposes a computer program product.
[0087] The computer program product of this application includes a computer program that, when executed by a processor, implements any of the above-described noise reduction methods based on motor noise testing.
[0088] The computer program product according to the embodiments of this application implements any of the above-mentioned noise reduction methods based on motor noise testing when the computer program is executed. It achieves accurate positioning of the overlapping area of current harmonics and motor noise, and targeted adjustment of switching frequency and / or speed, ultimately achieving efficient and reproducible noise reduction.
[0089] Specifically, in the embodiments of this application, 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 indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0090] 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.
[0091] 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 reducing noise based on motor noise testing, characterized in that, The method comprises the following steps: controlling a motor to be tested to operate according to a preset test condition on an electric drive system test bench, so that the motor to be tested enters a test state; acquiring a current signal and a noise signal of the motor to be tested respectively in the test state; performing fast Fourier transform (FFT) analysis on the current signal and the noise signal respectively to generate a current harmonic distribution diagram and a noise harmonic distribution diagram of the motor to be tested; determining a noise overlap region based on the current harmonic distribution diagram and the noise harmonic distribution diagram; adjusting a switching frequency and / or a rotating speed of the motor according to noise information of the noise overlap region.
2. The noise reduction method based on motor noise test according to claim 1, characterized in that, The noise overlap region is a region where motor switching frequency noise and motor main order noise overlap.
3. The noise reduction method based on motor noise test of claim 2, wherein, The step of determining the noise overlap region based on the current harmonic distribution diagram and the noise harmonic distribution diagram comprises the following steps: analyzing the current harmonic distribution diagram according to a first preset analysis algorithm to determine a plurality of first target regions of the motor switching frequency noise; analyzing the noise harmonic distribution diagram according to a second preset analysis algorithm to determine a plurality of second target regions of the motor main order noise; performing comparative analysis on the plurality of first target regions and the plurality of second target regions to determine the noise overlap region.
4. The noise reduction method based on motor noise test of claim 1, wherein, The step of adjusting the switching frequency and / or the rotating speed of the motor according to the noise information of the noise overlap region comprises the following step: optimizing a control strategy of the motor according to the noise information of the noise overlap region, and adjusting the switching frequency and / or the rotating speed of the motor according to the optimized control strategy.
5. The noise reduction method based on motor noise test of claim 1, wherein, The step of acquiring the current signal and the noise signal of the motor to be tested respectively comprises the following step: synchronously acquiring the current signal and the noise signal of the motor to be tested according to a preset sampling time, wherein the current signal of the motor to be tested is acquired by a high-frequency flexible current probe, and the noise signal of the motor to be tested is acquired by a microphone.
6. The noise reduction method based on motor noise test according to claim 5, characterized in that, The method further comprises the following step: setting parameters of the high-frequency flexible current probe and the microphone according to the preset test condition.
7. A noise reduction device based on motor noise testing, characterized in that, The method comprises the following steps: controlling a motor to be tested to operate according to a preset test condition on an electric drive system test bench, so that the motor to be tested enters a test state; acquiring a current signal and a noise signal of the motor to be tested respectively in the test state; performing fast Fourier transform (FFT) analysis on the current signal and the noise signal respectively to generate a current harmonic distribution diagram and a noise harmonic distribution diagram of the motor to be tested; determining a noise overlap region based on the current harmonic distribution diagram and the noise harmonic distribution diagram; adjusting a switching frequency and / or a rotating speed of the motor according to noise information of the noise overlap region.
8. An electronic device, comprising: The method comprises the following steps: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the noise reduction method based on motor noise testing according to any one of claims 1-6.
9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by a processor to implement the motor noise test based noise reduction method according to any one of claims 1-6.
10. A computer program product comprising a computer program, characterized in that, The computer program is executed by a processor to implement the motor noise test based noise reduction method according to any one of claims 1-6.