Method and system for testing vibration noise of wiper motor

Abstract

The invention provides a test method and a test system for vibration noise of a wiper motor, and belongs to the technical field of motor noise test. The test method comprises the following steps: acquiring and analyzing working data of a wiper motor under various working conditions of a real vehicle, and defining a torque load spectrum for a bench test based on an analysis result; and according to the torque load spectrum, applying a simulation load to the wiper motor on the test bench, and collecting a noise signal, a vibration signal and a multi-dimensional electrical parameter signal during operation of the wiper motor so as to verify the NVH performance of the wiper motor. According to the method, the test load spectrum is defined based on the real vehicle operation big data, the working state of the wiper motor under multiple working conditions of the real vehicle can be accurately simulated, the representativeness and reliability of the vibration noise test are improved, and therefore a more effective basis is provided for design optimization of the wiper motor; by synchronously collecting multi-dimensional physical signals, the noise problem under a specific torque load is accurately identified, so that a clear direction can be provided for targeted improvement.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of motor noise testing, and particularly relates to a test method and a test system for vibration noise of a wiper motor. BACKGROUND

[0002] The vibration and noise problems generated by the automobile wiper system during operation directly affect the comfort of the driver and passengers and the perception quality of the vehicle. With the increasing requirements of the automobile industry on the noise, vibration and harshness (NVH) performance of the whole vehicle, accurate testing and control of the vibration noise characteristics of the wiper system, especially the core driving component, the wiper motor, have become a key link to improve product quality.

[0003] Currently, in addition to testing and evaluation of the wiper motor vibration noise performance in the whole vehicle environment, independent bench testing of the parts state is also needed to study its characteristics under different working conditions and facilitate design optimization. The working conditions of the wiper motor in actual work are complex and changeable, for example, there are different speed modes (high speed, low speed, intermittent, etc.), and due to the different states of the windshield (dry, wet, semi-dry) and the wear state of the wiper blade, the load torque borne by the motor also has significant differences. In addition, the temperature rise of the motor itself also affects its operating noise.

[0004] However, the existing wiper motor vibration noise test method has the following shortcomings:

[0005] (1) The torque load applied in the test is usually based on theoretical estimation or simple standard working conditions, and cannot be defined according to real and complex vehicle use scenarios, resulting in a disconnection between the test conditions and the actual working conditions, and insufficient representativeness and effectiveness of the test results;

[0006] (2) The test process often ignores the influence of motor temperature change on noise performance, and cannot simulate the noise characteristics of the motor under the temperature rise state after continuous work, and the test dimension is incomplete.

[0007] Therefore, there is an urgent need in the art for a vibration noise test method that can more realistically simulate the actual working conditions of the wiper motor and comprehensively consider the influence of multiple factors, in order to improve the accuracy, reliability and engineering guidance value of the test. SUMMARY

[0008] The purpose of the present application is to solve the above-mentioned problems in the prior art, and to provide a test method and a test system for vibration noise of a wiper motor, which can accurately simulate the working state of the wiper motor under various working conditions of a real vehicle, synchronously collect multi-dimensional physical signals, and improve the representativeness and reliability of the vibration noise test.

[0009] The application is implemented through the following technical solutions:

[0010] In a first aspect of the application, a test method for vibration noise of a wiper motor is provided, and the test method comprises:

[0011] Work data of the wiper motor under various working conditions of a real vehicle is collected and analyzed, and a torque load spectrum for bench testing is defined based on the analysis results;

[0012] According to the torque load spectrum, a simulated load is applied to the wiper motor on a test bench, and noise signals, vibration signals and multi-dimensional electrical parameter signals during operation of the wiper motor are collected to verify the NVH performance of the wiper motor.

[0013] Optionally, the collection and analysis of the work data of the wiper motor under various working conditions of a real vehicle comprises:

[0014] The work data of the wiper motor under different real working conditions is collected on a mass-produced vehicle through a sensor system;

[0015] The collected work data is preprocessed and statistically analyzed to establish a torque probability distribution model;

[0016] Statistical values representing torque load characteristics are extracted from the torque probability distribution model.

[0017] Optionally, the different real working conditions include working conditions under different vehicle speeds, different rainfall intensities, different glass humidities, different wiper blade wear states and different types of wiper blades.

[0018] Optionally, the work data at least includes torque parameters, rotational speed parameters, current parameters and voltage parameters.

[0019] Optionally, the definition of the torque load spectrum for bench testing based on the analysis results comprises:

[0020] Based on the statistical values, key torque values are determined, including normal working torque, peak torque and starting torque;

[0021] According to the requirements of the simulated real vehicle working mode, a torque load spectrum containing the key torque values is constructed.

[0022] Optionally, the test bench at least includes a wiper motor, a torque sensor and an adjustable load device coaxially installed, and a sensor group for collecting noise signals, vibration signals and rotational speed signals.

[0023] Optionally, the adjustable load device is a damper, and the adjustable load device realizes closed-loop control based on torque sensor feedback through a signal controller to accurately apply the load defined by the torque load spectrum.

[0024] Optionally, the multi-dimension electric parameter signal comprises a torque signal, a rotating speed signal, a voltage signal, a current signal and a temperature signal.

[0025] In a second aspect of the present application, a test system for testing the vibration noise of a wiper motor is provided, which implements the test method of any one of the above aspects, and comprises:

[0026] a data analysis and definition unit, configured to process the working data collected from the real vehicle and define a torque load spectrum for the bench test based on the analysis result;

[0027] a bench test unit, arranged in a semi-anechoic chamber, comprising:

[0028] a test bench, configured to install the wiper motor, a torque sensor and an adjustable load device;

[0029] a comprehensive sensor group, configured to synchronously collect noise, vibration and multi-dimension electric parameter signals;

[0030] a control and collection device, in communication connection with the comprehensive sensor group and the data analysis and definition unit respectively, and configured to control the adjustable load device to apply a simulated load according to the torque load spectrum and synchronously record all sensor data.

[0031] Optionally, the comprehensive sensor group comprises at least a microphone, a vibration sensor, an encoder, and sensors for collecting voltage signals, current signals and temperature signals.

[0032] Compared with the prior art, the present application has the following beneficial effects:

[0033] By collecting working data under various working conditions of the real vehicle to define the torque load spectrum, and accurately reproducing the simulated load on the bench to collect multi-dimension signals, the problem of deviation between the test condition and the real vehicle running state in the prior art is effectively solved, which can accurately simulate the working state of the wiper motor under various working conditions of the real vehicle, improve the representativeness and reliability of the vibration noise test, and thus provide a more effective basis for the design optimization of the wiper motor. At the same time, the synchronous collection of multi-dimension signals makes the dynamic coupling relationship between noise, vibration and electric parameters be comprehensively analyzed, thus solving the problem of incomplete test dimension, which is beneficial to accurately positioning the root cause of the NVH performance problem and providing a reliable basis for systematic optimization. BRIEF DESCRIPTION OF DRAWINGS

[0034] The above and other objects, features and advantages of the present application will become more apparent from the following detailed description of embodiments of the present application taken in conjunction with the accompanying drawings. The accompanying drawings are intended to provide a further understanding of embodiments of the present application and are incorporated in and constitute a part of this specification, illustrate embodiments of the present application and serve to explain the present application, but do not limit the present application.

[0035] Figure 1 A flowchart of a test method of a wiper motor vibration noise provided by an embodiment of the present application is shown in the figure;

[0036] Figure 2 A structural diagram of a test system of a wiper motor vibration noise provided by an embodiment of the present application is shown in the figure;

[0037] Figure 3 A flowchart of another test method of a wiper motor vibration noise provided by an embodiment of the present application is shown in the figure;

[0038] Figure 4 A structural diagram of a bench test device of a wiper motor provided by an embodiment of the present application is shown in the figure.

[0039] Figure 4 Explanation of reference signs in the figures:

[0040] 1 - signal controller, 2 - test computer, 3 - microphone, 4 - wiper motor, 5 - first coupling, 6 - torque sensor, 7 - second coupling, 8 - damper, 9 - damper mounting bracket, 10 - base plate, 11 - torque sensor mounting bracket, 12 - wiper motor mounting bracket, 13 - test cable, 14 - encoder, 15 - vibration sensor, 16 - voltage signal line, 17 - current signal line, 18 - thermocouple. DETAILED DESCRIPTION

[0041] In order to make the objectives, technical solutions and advantages of the present application more apparent, the following will describe the example embodiments according to the present application in detail with reference to the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application described in the present application, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present application.

[0042] In view of the problem that the existing method cannot truly simulate the actual working conditions of a wiper motor and does not comprehensively consider the influence of multiple factors, the present application proposes a test method and a test system of a wiper motor vibration noise, which can accurately simulate the working state of a wiper motor under various working conditions of a real vehicle, synchronously collect multi-dimensional physical signals, and improve the representativeness and reliability of vibration noise testing. The present application will be described in further detail below with reference to the accompanying drawings.

[0043] First, the test method of a wiper motor vibration noise of an embodiment of the present application will be described with reference to Figure 1

[0044] Figure 1 ​A flowchart of a test method for wiper motor vibration noise provided by an embodiment of the present application is shown in FIG. 1, and the test method for wiper motor vibration noise in the present application at least includes the following steps S100 to S200. Figure 1

[0045] Step S100, collect and analyze the working data of the wiper motor under various working conditions of the real vehicle, and define the torque load spectrum for the bench test based on the analysis results.

[0046] Among them, collecting and analyzing the working data of the wiper motor under various working conditions of the real vehicle means obtaining the running state information of the motor in the actual use environment. In actual application, this step can use a vehicle data recording device to store motor working parameters or manually record through a driver operation log, which is mainly to achieve the purpose of obtaining real working condition data. Based on the analysis results, the torque load spectrum for the bench test is defined, wherein the torque load spectrum can be understood as a sequence describing the load change law, which can be realized by querying a historical working condition database or a simplified model based on typical scenarios, for example, referring to standard load curves under different road conditions, which is mainly to achieve the purpose of simulating real load changes.

[0047] Step S200, according to the torque load spectrum, apply a simulated load to the wiper motor on the test bench, and collect the noise signal, vibration signal and multi-dimensional electrical parameter signal of the wiper motor during operation to verify the NVH performance of the wiper motor.

[0048] Here, according to the torque load spectrum, a simulated load is applied to the wiper motor on the test bench, which can be realized by using a programmable electronic load device or a mechanical load simulator, for example, by adjusting the resistance load or the inertia flywheel, which is mainly to achieve the purpose of accurately reproducing the real vehicle working condition. At the same time, the noise signal, vibration signal and multi-dimensional electrical parameter signal of the wiper motor during operation are collected, wherein the multi-dimensional electrical parameter signal refers to electrical characteristic data, which can be recorded by an independent signal collection system, for example, using a data collection card with a sensor, which is mainly to achieve the purpose of synchronously acquiring multi-source data.

[0049] ​Thus, the application solves the problems of disconnection between test conditions and actual working conditions and incomplete test dimensions by defining a torque load spectrum based on real vehicle working condition data, simulating on a test bench, and collecting multi-dimensional signals, so as to accurately simulate the working state of the wiper motor under various working conditions of the real vehicle, improve the representativeness and reliability of the vibration and noise test. Specifically, the method avoids the deviation caused by theoretical estimation, keeps the test environment consistent with the real vehicle working mode, and allows the dynamic coupling relationship between noise, vibration and electrical parameters to be analyzed, thereby providing a more effective basis for the design optimization of the wiper motor and enhancing the engineering guidance value of the test results. At the same time, the synchronous collection of multi-dimensional signals enables the dynamic coupling relationship between noise, vibration and electrical parameters to be comprehensively analyzed, thereby solving the problem of incomplete test dimensions, which is conducive to accurately locating the root cause of the NVH performance problem and providing a reliable basis for systematic optimization.

[0050] In some embodiments of the application, the working data of the wiper motor under various working conditions of the real vehicle is collected and analyzed, including:

[0051] Collecting the working data of the wiper motor under different real working conditions on a mass-produced vehicle through a sensor system;

[0052] Preprocessing and statistically analyzing the collected working data to establish a torque probability distribution model;

[0053] Extracting statistical values representing torque load characteristics from the torque probability distribution model.

[0054] Among them, the sensor system refers to a sensing device for monitoring the operating state of the wiper motor, which can be realized by one or more combinations of mechanical quantity sensors, electrical quantity sensors or optical sensors, and its purpose is to directly obtain the dynamic working data of the wiper motor in the real road environment, avoiding the deviation caused by theoretical estimation; Specifically, different real working conditions include working conditions under different vehicle speeds, different rainfall intensities, different glass humidities, different wiper blade wear states and different types of wiper blades. The working data at least includes torque parameters, speed parameters, current parameters and voltage parameters.

[0055] The pretreatment and statistical analysis refer to the process of cleaning, standardizing and probability modeling of the original collected data, which can be realized by methods such as digital filtering, outlier rejection and non-parametric probability distribution fitting, and the purpose is to eliminate measurement noise interference and convert discrete data into quantifiable statistical rules, so as to accurately depict the distribution characteristics of the torque load; the extraction of the statistical value representing the torque load characteristics refers to the operation of screening key indicators from the probability distribution model, which can be realized by methods such as calculating the central tendency index, the dispersion index and the extreme value index, and the purpose is to convert the abstract distribution model into an operable engineering parameter, ensuring that the extracted statistical value can fully represent the typical load and extreme conditions in the actual working condition.

[0056] Specifically, the scheme of the present application provides a high-fidelity data basis for subsequent analysis by directly collecting the working data of the wiper motor under different real working conditions on the mass-produced vehicle; by pretreating and statistically analyzing the collected data, a torque probability distribution model is established, the discrete original data is converted into quantifiable statistical rules, and the probability characteristics and fluctuation range of the torque load under different working conditions are accurately depicted; then the statistical value representing the torque load characteristics is extracted from the model, the abstract distribution is converted into an operable engineering parameter, so as to ensure that the defined torque load spectrum can fully represent the typical load and extreme conditions in the actual working condition, forming a complete technical chain from data collection to engineering application.

[0057] As a specific implementation, the scheme of the present application is implemented as follows: mechanical and electrical quantity sensors are installed on the mass-produced vehicle to capture the working data of the wiper motor; moving average filtering and outlier rejection based on statistical rules are performed on the collected data to eliminate environmental noise interference; based on the processed data, a torque probability distribution model is established by using Weibull distribution fitting; the normal working torque, the peak torque and the starting torque are extracted from the model as key statistical values, wherein the normal working torque corresponds to the median characteristic of the distribution, the peak torque corresponds to the high probability quantile characteristic, and the starting torque corresponds to the minimum value characteristic.

[0058] Through the above scheme, the present application enables the defined torque load spectrum to accurately capture the complex distribution and variability of the torque load in the actual working condition, so as to ensure that the test bench test conditions are highly consistent with the actual vehicle running environment, effectively improving the representativeness and effectiveness of the test results.

[0059] In some embodiments of the present application, the test bench at least includes a wiper motor, a torque sensor and an adjustable load device coaxially installed, and a sensor group for collecting noise signals, vibration signals and rotation speed signals.

[0060] The coaxial installation refers to that the wiper motor output shaft, the torque sensor and the adjustable load device are rigidly connected along the same rotation center line, and the purpose is to eliminate the additional vibration interference introduced by mechanical deviation and ensure the accuracy of torque measurement; the adjustable load device can be an electromagnetic brake, a hydraulic loading device or a pneumatic resistance device, and the purpose is to dynamically reproduce the torque change of the real working condition; the sensor group refers to the integrated signal acquisition unit, and the purpose is to realize strict synchronous capture of multi-dimensional signals on the time axis and avoid time sequence deviation caused by separate acquisition.

[0061] Specifically, the adjustable load device is a damper, and the adjustable load device realizes closed-loop control based on torque sensor feedback through a signal controller to accurately apply the load defined by the torque load spectrum.

[0062] The technical scheme establishes a rigid transmission link through the coaxial installation structure, so that the wiper motor output shaft is connected to the torque sensor and the adjustable load device in turn, forming a torque transmission path without gaps; the torque sensor monitors the dynamic torque value in real time and feeds back to the control unit, driving the adjustable load device to accurately reproduce the torque load spectrum required by the bench test; at the same time, the noise acquisition unit, the vibration acquisition unit and the rotation speed acquisition unit in the sensor group synchronously capture the corresponding signals, ensuring that the noise, vibration and rotation speed data are strictly aligned in the time dimension, so as to record the transient coupling characteristics of each parameter during the operation of the motor.

[0063] The second aspect of the application provides a wiper motor vibration noise test system for implementing the test method of any one of the above embodiments, as shown in Figure 2 The test system 200 includes:

[0064] The data analysis and definition unit 210 is used for processing the working data collected by the real vehicle and defining the torque load spectrum of the bench test based on the analysis result;

[0065] The bench test unit 220 is arranged in a semi-anechoic chamber and includes:

[0066] The test bench 221 is used for installing the wiper motor, the torque sensor and the adjustable load device;

[0067] The comprehensive sensor group 222 is used for synchronously collecting noise, vibration and multi-dimensional electrical parameter signals;

[0068] The control and collection device 223 is in communication connection with the comprehensive sensor group 222 and the data analysis and definition unit 210 respectively, and the control and collection device 223 is used for controlling the adjustable load device to apply the simulated load according to the torque load spectrum and synchronously recording all sensor data.

[0069] The system can realize synchronous acquisition of multi-dimensional signals, so that the dynamic coupling relationship between noise, vibration and electric parameters can be comprehensively analyzed, thereby solving the problem of incomplete test dimension, and being beneficial to accurately positioning the root of NVH performance problem and providing reliable basis for systematic optimization.

[0070] Next, another rain wiper motor vibration noise testing method and testing system provided by the embodiments of the present application will be described with reference to Figures 3-4 .

[0071] As shown in Figure 3 , the rain wiper motor vibration noise testing method comprises:

[0072] S1, real vehicle data acquisition.

[0073] The sensor system is installed on the mass production vehicle, including torque sensor, current sensor, temperature sensor, voltage sensor, etc., to collect multi-dimensional working data of the rain wiper motor under different working conditions, including different vehicle speeds, different rainfall intensities, glass humidity, wiper blade wear, torque, speed, current, voltage and other parameters under different types of wiper blade states. These data are recorded by the vehicle data recorder and uploaded to the cloud database.

[0074] S2, big data processing and analysis. First, data preprocessing is performed, including data cleaning (eliminating outliers), standardization (unifying data format) and data quality inspection. Then, working condition classification and feature extraction are performed, such as maximum torque, average torque, torque fluctuation rate, etc. Finally, torque modeling and statistical analysis are performed to establish a torque probability distribution model and analyze the statistical characteristics of torque under different working conditions.

[0075] S3, test torque definition. Based on the results of big data processing and analysis, the key torque values for bench test are determined. The key torque values are determined based on the results of big data analysis, including normal working torque, peak torque, starting torque, etc. Load spectrum construction is to simulate the working mode of real vehicle, and to develop the loading sequence of torque containing key torque values and the time length proportion of each mode, including low-speed continuous, high-speed continuous, intermittent working mode, etc. Finally, the test procedure is developed to clearly define the torque loading method, test duration, etc.

[0076] The rain wiper motor torque definition method based on real vehicle big data collects the working data of the rain wiper motor under various real working conditions of the actual vehicle, and determines the torque conditions for bench test based on statistical analysis, so that the test conditions are more suitable for actual use scenarios.

[0077] S4, bench test verification, the defined torque test conditions are applied to the bench test. The test bench is built in a semi-anechoic chamber, as shown in Figure 4 .

[0078] S41, the wiper motor 4 is coaxially installed on the same rack through the wiper motor mounting bracket 12, the torque sensor 6 is coaxially installed on the same rack through the torque sensor mounting bracket 11, and the damper 8 is coaxially installed on the same rack through the damper mounting bracket 9. Specifically, it is fixed on the iron base plate 10 through the corresponding bracket, and is connected together through the first coupling 5 and the second coupling 7. A microphone 3 for collecting noise signals, a vibration sensor 15 for collecting vibration signals, and an encoder 14 for collecting rotating speed are arranged; the torque sensor 6 is arranged between the output shaft of the wiper motor 4 and the damper 8.

[0079] S42, the damper 8 can adjust the size of the torque through the signal output by the signal controller 1, the torque sensor 6 inputs the torque signal to the signal controller 1, the signal controller 1 receives the feedback signal of the torque sensor 6, and the signal controller 1 performs closed-loop control of the torque according to the size of the torque control and the signal input by the torque sensor 6, so as to apply the torque load defined by the load spectrum.

[0080] S43, an encoder 14 is designed and installed at the end position of the shaft, and according to the speed reduction ratio of the wiper motor reducer, the rotating speed of the wiper motor 4 can be recorded in real time;

[0081] S44, rack test. Specifically, the corresponding signals are collected through the microphone 3 (connected with the signal controller 1 through the test cable 13), the vibration sensor 15, the torque sensor 6, the encoder 14, the voltage signal line 16, the current signal line 17, and the thermocouple 18 and input to the signal controller 1. According to the load spectrum, the load is applied to the wiper motor, and the noise signal, the vibration signal and the working data are collected in real time through the test software in the test computer 2. According to the multi-dimensional signal, the NVH performance can be analyzed.

[0082] In addition, the rack test results can be inversely correlated with the real vehicle data to verify the effectiveness of the torque test condition definition, so as to continuously optimize the test model and ensure that the test condition always comes from the real scene.

[0083] The technical scheme constructed in the embodiment forms a complete system architecture and working process from real vehicle data collection, big data processing and analysis to rack application, and constitutes a complete closed-loop test system, which has the following technical effects:

[0084] (1) The test accuracy and reliability are significantly improved: the test condition comes from the real driving scene, the test load spectrum is defined based on the real vehicle running big data, so that the rack test condition can more accurately reproduce the actual working state of the motor, and the accuracy and effectiveness of the noise and vibration evaluation results are ensured from the source, and the risk of misjudgment caused by distorted test conditions is greatly reduced.

[0085] (2) Problem diagnosis and optimization ability is comprehensively enhanced: due to the ability to synchronously collect multi-dimensional physical signals such as noise, vibration, torque, speed, temperature and electrical parameters, the coupling relationship between various parameters can be comprehensively analyzed, the problem root can be accurately located and the system optimization can be carried out. At the same time, through the deep analysis of real vehicle big data, potential structural resonance points and other problems can be predicted and avoided in the design stage, realizing the change from "after detection" to "prevention".

[0086] (3) Test standardization and comparability can be realized: a set of unified and reproducible test process and evaluation standard is established. The load spectrum formed based on objective data analysis overcomes the subjectivity and randomness of artificially set test conditions, so that wiper motors of different models and different production batches can be compared in performance and quality controlled under the same benchmark, promoting the standardization process of product testing.

[0087] Finally, it should be pointed out that the above technical solutions are only one embodiment of the present application. For those skilled in the art, on the basis of the application of the method and principle disclosed in the present application, various types of improvements or modifications can be easily made, and are not limited to the methods described in the above specific embodiments of the present application, therefore the above described method is only preferred, and does not have the meaning of limitation.

Claims

1. A method for testing the vibration noise of a windshield wiper motor, characterized in that: The testing method includes: Collect and analyze the working data of the wiper motor under various working conditions in real vehicles, and define the torque load spectrum for bench testing based on the analysis results; Based on the torque load spectrum, a simulated load was applied to the wiper motor on the test bench, and noise signals, vibration signals and multi-dimensional electrical parameter signals of the wiper motor during operation were collected to verify the NVH performance of the wiper motor.

2. The method for testing the vibration and noise of a wiper motor according to claim 1, characterized in that: Collect and analyze operating data of the wiper motor under various working conditions in real vehicles, including: In mass-produced vehicles, sensor systems are used to collect working data of the wiper motor under different real-world conditions. The collected work data is preprocessed and statistically analyzed to establish a torque probability distribution model. Statistical values ​​characterizing torque load features are extracted from the torque probability distribution model.

3. The method for testing the vibration and noise of a wiper motor according to claim 2, characterized in that: The different real-world operating conditions include different vehicle speeds, different rainfall intensities, different glass humidity, different wiper blade wear conditions, and operating conditions under different types of wiper blades.

4. The method for testing the vibration and noise of a wiper motor according to claim 2, characterized in that: The operating data includes at least torque parameters, speed parameters, current parameters, and voltage parameters.

5. The method for testing the vibration and noise of a wiper motor according to claim 2, characterized in that, Based on the analysis results, a torque load spectrum for bench testing is defined, including: Based on the statistical values, key torque values ​​are determined, including normal operating torque, peak torque, and starting torque. Based on the requirements of simulating the actual vehicle working mode, a torque load spectrum containing the key torque values ​​is constructed.

6. The method for testing the vibration and noise of a wiper motor according to claim 1, characterized in that, The test bench includes at least a coaxially mounted wiper motor, torque sensor, and adjustable load device, as well as a sensor group for collecting noise signals, vibration signals, and speed signals.

7. The method for testing the vibration and noise of a wiper motor according to claim 6, characterized in that, The adjustable load device is a damper, and the adjustable load device implements closed-loop control based on torque sensor feedback through a signal controller to accurately apply the load defined by the torque load spectrum.

8. The method for testing the vibration and noise of a wiper motor according to claim 6 or 7, characterized in that, The multi-dimensional electrical parameter signals include torque signal, speed signal, voltage signal, current signal, and temperature signal.

9. A testing system for the vibration and noise of a wiper motor used to implement the testing method according to any one of claims 1-8, characterized in that, include: The data analysis and definition unit is used to process the working data collected from the actual vehicle and define the torque load spectrum of the bench test based on the analysis results. The bench test unit, located in a semi-anechoic chamber, includes: Test bench for mounting wiper motors, torque sensors, and adjustable load devices; A comprehensive sensor array is used to simultaneously acquire noise, vibration, and multi-dimensional electrical parameter signals; The control and acquisition device is communicatively connected to the integrated sensor group and the data analysis and definition unit, respectively. The control and acquisition device is used to control the adjustable load device to apply a simulated load according to the torque load spectrum and to synchronously record all sensor data.

10. The test system for wiper motor vibration and noise according to claim 9, characterized in that, The integrated sensor group includes at least a microphone, a vibration sensor, an encoder, and sensors for acquiring voltage, current, and temperature signals.

Images