Auxiliary frame abnormal sound positioning method and device, vehicle, medium and product
By acquiring vibration and sound data from the test vehicle, the target road surface that triggers the abnormal noise is located, the abnormal noise scenario is reproduced, the correlation between sound and vibration data is analyzed, the frequency of the abnormal noise is determined, and the location of the abnormal noise is pinpointed. This solves the problems of low accuracy and efficiency in diagnosing abnormal noise from the subframe, and enables rapid and accurate judgment of abnormal noise.
Patent Information
- Application Number
- CN202511779453.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-28
- Publication Date
- 2026-02-03
AI Technical Summary
In existing technologies, the accuracy and efficiency of subframe abnormal noise diagnosis are low, and the human ear's intuitive perception is poor, resulting in insufficient accuracy and timeliness in abnormal noise location.
By acquiring vibration and sound data from the test vehicle, the target road surface that triggered the abnormal noise was located, the abnormal noise scenario was reproduced, the correlation between sound and vibration data was analyzed, the frequency of the abnormal noise was determined and the location of the abnormal noise was located, and quantitative data was used to simulate human ear perception to accurately determine the source of the abnormal noise.
It enables rapid and accurate identification of abnormal noises from the subframe, improves the accuracy of noise identification and the speed of problem solving, and enhances the accuracy and timeliness of testing.
Smart Images
Figure CN121453434A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vehicle noise location technology, and in particular to a subframe noise location method, device, vehicle, medium and product. Background Technology
[0002] In the whole vehicle development process, chassis noise is a key and difficult problem, and the subframe is particularly important for driving and riding comfort.
[0003] The relevant technologies focus on improving the accuracy of abnormal noise source diagnosis and the efficiency of dealing with abnormal noise problems, but do not focus on analyzing the intuitive perception of the human ear. Summary of the Invention
[0004] This application provides a method, device, vehicle, medium, and product for locating abnormal noises in a subframe, in order to solve the problems in related technologies, such as poor intuitive perception by the human ear and poor accuracy and timeliness in locating abnormal noises, when improving the accuracy and efficiency of abnormal noise source diagnosis.
[0005] The first aspect of this application provides a method for locating subframe noise, comprising the following steps: acquiring test data of a test vehicle exhibiting subframe noise; locating the target road surface where the subframe noise occurs based on the test data; controlling the test vehicle to pass through the target road surface at least once to reproduce the subframe noise; acquiring vibration data collected by each vibration sensor and sound data collected by each sound sensor during the test vehicle's passage through the target road surface; determining the subframe noise frequency based on the sound data and vibration data; and locating the subframe noise location based on the vibration data collected by each vibration sensor and the noise frequency.
[0006] Optionally, the pre-arranged locations of the vibration sensors include the connection between the stabilizer bar and the subframe, the connection between the shock absorber spring and the lower crossbeam, the connection between the subframe and the brake disc linkage, the connection between the subframe bushing and the lower base, and multiple locations at the connection between the body and the subframe.
[0007] Optionally, the pre-positioned locations of the sound sensors include the left side of the right rear seat headrest and the center under the rear subframe. Optionally, Optionally, the abnormal noise frequency of the subframe is determined based on sound data and vibration data, including: identifying multiple sound frequencies in the sound data; identifying multiple vibration frequencies in the vibration data; and determining the abnormal noise frequency of the subframe based on the multiple sound frequencies and multiple vibration frequencies.
[0008] Optionally, the location of abnormal noise in the subframe is located based on the vibration data and abnormal noise frequency collected by each vibration sensor, including: determining the target sound sensor from each sound sensor based on the abnormal noise frequency; obtaining the frequency filtering range corresponding to the target sound sensor; filtering the vibration data collected by each vibration sensor according to the frequency filtering range to obtain abnormal noise filtered data; and locating the abnormal noise location of the subframe based on the abnormal noise filtered data.
[0009] Optionally, locating the abnormal noise location of the subframe based on the abnormal noise filtering data includes: determining a reference frequency based on the abnormal noise filtering data; determining the energy of each vibration sensor at the reference frequency from the vibration data; determining a target vibration sensor based on the energy of each vibration sensor at the reference frequency; and determining the abnormal noise location of the subframe based on the installation location of the target vibration sensor.
[0010] A second aspect of this application provides a subframe noise locating device, comprising: an acquisition module for acquiring test data of a test vehicle exhibiting subframe noise; a positioning module for locating the target road surface where the subframe noise of the test vehicle occurs based on the test data, controlling the test vehicle to pass through the target road surface at least once to reproduce the subframe noise of the test vehicle, and acquiring vibration data collected by each vibration sensor and sound data collected by each sound sensor during the test vehicle's passage through the target road surface; and a determination module for determining the frequency of the subframe noise based on the sound data and vibration data, and locating the position of the subframe noise based on the vibration data collected by each vibration sensor and the noise frequency.
[0011] Optionally, the pre-arranged locations of the vibration sensors include the connection between the stabilizer bar and the subframe, the connection between the shock absorber spring and the lower crossbeam, the connection between the subframe and the brake disc linkage, the connection between the subframe bushing and the lower base, and multiple locations at the connection between the body and the subframe.
[0012] Optionally, the pre-positioned locations of the various sound sensors include the left side of the headrest of the right rear seat in the vehicle and the center under the rear subframe.
[0013] Optionally, the determining module is further used to identify multiple sound frequencies in the sound data; identify multiple vibration frequencies in the vibration data; and determine the abnormal noise frequency of the subframe based on the multiple sound frequencies and multiple vibration frequencies.
[0014] Optionally, the determining module is further configured to determine the target sound sensor from among the various sound sensors based on the abnormal noise frequency; obtain the frequency filtering range corresponding to the target sound sensor; filter the vibration data collected by each vibration sensor according to the frequency filtering range to obtain abnormal noise filtering data; and locate the abnormal noise position of the subframe based on the abnormal noise filtering data.
[0015] Optionally, the determining module is further configured to determine a reference frequency based on the abnormal noise filtering data; determine the energy of each vibration sensor at the reference frequency from the vibration data; determine a target vibration sensor based on the energy of each vibration sensor at the reference frequency; and determine the location of the abnormal noise on the subframe based on the installation location of the target vibration sensor.
[0016] A third aspect of this application provides a vehicle, 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 subframe noise localization method as described in the above embodiments.
[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 subframe noise localization method as described in the above embodiments.
[0018] The fifth aspect of this application provides a computer program that, when executed, is used to implement the subframe noise localization method as described in the above embodiments.
[0019] Therefore, this application has the following beneficial effects: This application acquires raw test data from a test vehicle exhibiting abnormal noises, using this data to pinpoint the target road surface triggering the noise. Subsequently, by controlling the vehicle to repeatedly traverse this road surface, the abnormal noise scenario of the subframe is reproduced. Simultaneously, vibration data from each vibration sensor and sound data from each sound sensor are collected to ensure precise matching between the data and the abnormal noise scenario. Finally, by analyzing the correlation between the sound and vibration data, the core abnormal noise frequency of the subframe is determined. Combined with the energy distribution of each vibration sensor at this abnormal noise frequency, the specific location of the abnormal noise is pinpointed. This ultimately achieves precise identification of subframe abnormal noises, perfectly simulating human auditory perception, enabling rapid and accurate judgment of subframe abnormal noises, improving the accuracy of abnormal noise identification and the speed of problem-solving, and enhancing the accuracy and timeliness of the experiment. Therefore, it solves the problems of poor human auditory perception and poor accuracy and timeliness in abnormal noise location when improving the accuracy and efficiency of abnormal noise source diagnosis in related technologies.
[0020] 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
[0021] 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 subframe abnormal noise localization method provided according to an embodiment of this application; Figure 2This is a flowchart of another subframe noise localization method provided according to an embodiment of this application; Figure 3 This is a structural example diagram of a subframe noise locating device provided according to an embodiment of this application; Figure 4 This is a schematic diagram of the structure of a vehicle according to an embodiment of this application. Detailed Implementation
[0022] The embodiments of this application are described in detail below. Examples of the 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.
[0023] The following description, with reference to the accompanying drawings, outlines a method, apparatus, vehicle, medium, and product for locating subframe noise according to embodiments of this application. Addressing the issues of poor human perception and inaccurate, timely location of noise in related technologies mentioned in the background section, which hinder the improvement of accuracy and response efficiency in noise source diagnosis, this application provides a method for locating subframe noise. This method involves acquiring test data from a test vehicle exhibiting subframe noise; locating the target road surface where the subframe noise occurs based on the test data; controlling the test vehicle to pass through the target road surface at least once to reproduce the subframe noise; acquiring vibration data collected by various vibration sensors and sound data collected by various sound sensors during the test vehicle's passage through the target road surface; determining the frequency of the subframe noise based on the sound and vibration data; and locating the location of the subframe noise based on the vibration data and noise frequency collected by various vibration sensors. This solves the problems of poor human perception and inaccurate, timely location of noise in related technologies when improving the accuracy and response efficiency in noise source diagnosis.
[0024] Specifically, Figure 1 A flowchart illustrating the subframe noise localization method provided in this application embodiment.
[0025] like Figure 1 As shown, the subframe abnormal noise localization method includes the following steps: In step S101, test data of the test vehicle with abnormal noise from the subframe is obtained.
[0026] The subframe is a load-bearing structure that connects the vehicle body to components such as the suspension and engine; subframe noise is an abnormal sound emitted from the subframe area during vehicle operation; the test vehicle is a vehicle with subframe noise; and the test data is the relevant data on subframe noise collected by equipment during the operation of the test vehicle.
[0027] It is understood that the embodiments of this application can accurately locate the root cause of the noise by obtaining test data from test vehicles with abnormal noise in the subframe, ensuring the authenticity of the data, realizing rapid and accurate judgment of abnormal noise in the subframe, and making it easier to control the noise in the subframe.
[0028] Specifically, the first step is to confirm the condition of the test vehicle, ensuring it is drivable, has not undergone maintenance, and has no major defects. It is also crucial to ensure there are no obstructions near the area where the abnormal noise occurs, minimizing the possibility of misinterpreting abnormal noises or vibrations due to bumps, vibrations, collisions, or friction while the vehicle is in motion. Basic parameters of the test vehicle are then obtained, including the prototype number, vehicle model, Vehicle Identification Number (VIN), and mileage. This application embodiment can accurately locate the root cause of the noise by acquiring test data from test vehicles with abnormal noise in the subframe, ensuring the authenticity of the data, and achieving rapid and accurate judgment of abnormal noise in the subframe, thus making it easier to control the noise in the subframe.
[0029] In step S102, the target road surface where the abnormal noise of the subframe of the test vehicle occurs is located based on the test data. The test vehicle is controlled to pass through the target road surface at least once to reproduce the abnormal noise of the subframe of the test vehicle. Vibration data collected by each vibration sensor and sound data collected by each sound sensor are obtained during the process of the test vehicle passing through the target road surface.
[0030] Among them, the target road surface is a specific road environment in which the abnormal noise of the subframe of the test vehicle is clearly found; the vibration sensor is a special detection device that converts the vibration signal of an object into a measurable electrical signal; the sound sensor is a special device used to collect the sound signal during the operation of the test vehicle; and the sound data is the quantitative information related to the abnormal noise of the subframe after being collected and converted by the sound sensor.
[0031] It is understood that the embodiments of this application reproduce the abnormal noise of the subframe of the test vehicle by controlling the test vehicle to pass through the target road surface, and obtain the vibration data collected by the vibration sensor and the sound data collected by the sound sensor during the test vehicle passing through the target road surface. Data can be collected again under the same target road surface and the same conditions, and the changes in parameters such as vibration data and sound data before and after can be compared to simulate human ear perception, thereby realizing the rapid and accurate judgment of abnormal noise of the subframe and ensuring the reliability and comparability of the data.
[0032] Specifically, the test environment was the same as the environment in which the abnormal noise occurred. When reproducing the abnormal noise, the vehicle passed over the road surface where the noise had previously appeared. Data collection ensured stable reproduction of the abnormal noise, and the cycle was repeated three times. Three-dimensional vibration acceleration sensors were placed at the connection points of the stabilizer bar and subframe, the shock absorber spring and lower crossbeam, the subframe and brake disc linkage, the subframe bushing and lower base, and the body and subframe, collecting vibration data. A microphone was placed on the left side of the right rear seat headrest and in the center below the rear subframe, collecting sound data. The data acquisition unit was connected to the test computer, sensors, and microphone, and the sensor connection channels were selected. The direction displayed in the LMS (Laboratory Measurement System) software was aligned with the direction of the sensor on the guide rail. The input mode was changed to ICP (Integrated Circuit Piezoelectric), and the sensitivity of the sensors in different directions was input into the software, adjusting the upper limit of the detection frequency to 1024Hz.
[0033] Furthermore, in the embodiments of this application, the pre-arranged locations of each vibration sensor include multiple locations such as the connection between the stabilizer bar and the subframe, the connection between the shock absorber spring and the lower crossbeam, the connection between the subframe and the brake disc linkage, the connection between the subframe bushing and the lower base, and the connection between the vehicle body and the subframe.
[0034] Among them, the stabilizer bar is a lateral elastic metal rod in the car suspension system; the shock absorber spring is a coil spring that fits around the shock absorber and together with the shock absorber forms the suspension; the lower crossbeam is the lateral load-bearing structure under the car chassis; the brake disc is the core rotating component of the car disc braking system; the subframe bushing is a component installed at the connection points between the subframe and the body, suspension, etc.; and the lower base is a rigid base structure under the car chassis used to fix and install components such as the subframe, shock absorber, and lower control arm of the suspension.
[0035] Understandably, by placing vibration sensors at the connection points between the fixed rod and the subframe, the connection points between the shock absorber spring and the lower crossbeam, the connection points between the subframe and the brake disc linkage, the connection points between the subframe bushing and the lower base, and the connection points between the body and the subframe, vibration changes at each connection point can be comprehensively captured, ensuring the integrity of data acquisition.
[0036] Specifically, the connection points between the stabilizer bar and the subframe, the connection points between the shock absorber spring and the lower crossbeam, the connection points between the subframe and the brake disc connecting rod, the connection points between the subframe bushing and the lower base, and the connection points between the body and the subframe are the core connection points between the subframe and surrounding components. These are also the areas where stress is concentrated during driving and where loosening or wear is likely to occur.
[0037] Vibration data from different connection points are collected independently. By comparing the differences in vibration frequency and amplitude at each location, the source of abnormal vibration can be quickly identified. By analyzing the vibration data at the connection between the vehicle body and the subframe, it can be determined whether the abnormal vibration is transmitted from the subframe to the vehicle body. Combined with data from other parts, it can be distinguished whether the problem is due to the aging of the component bushings or other internal faults, loose bolts or other loose connections, or a chain of abnormal noises caused by vibration transmission. For example, abnormal vibration at the stabilizer bar connection indicates a problem with the stabilizer bar or its bushings, while abnormality at the subframe bushings and the lower base indicates a problem with the bushings or the base.
[0038] Furthermore, in the embodiments of this application, the pre-arranged positions of each sound sensor include the left side of the headrest of the right rear seat in the vehicle and the center below the rear subframe.
[0039] The central part below the rear subframe is the central load-bearing area of the rear subframe body, and also the installation and stress center of the rear chassis components.
[0040] Understandably, by placing sound sensors on the left side of the headrest of the right rear seat and in the center under the rear subframe, the raw sound data of abnormal noises can be directly collected. Quantitative data can be used to confirm the frequency and energy heard by the human ear, simulate human hearing, accurately capture the true frequency, amplitude, and duration of the abnormal noises, and pinpoint the physical source of the noises.
[0041] Specifically, the central area under the rear subframe is the core load-bearing area of the rear subframe and the connection point of surrounding components. It is also the closest point to where abnormal noises may occur. Placing a sound sensor in the central area under the rear subframe can directly collect the raw sound data of abnormal noises, accurately capture the true frequency, amplitude, and duration of the abnormal noises, and pinpoint the physical source of the abnormal noises.
[0042] The left side of the headrest of the right rear seat is close to the passenger's ear, simulating the actual feeling of abnormal noises. Placing a sound sensor on the left side of the headrest of the right rear seat can collect the final sound data after it passes through the vehicle body. This can quantify the decibel value and transmission attenuation of abnormal noises in the vehicle, and determine the level of impact of abnormal noises on passenger comfort.
[0043] This application embodiment can reproduce the abnormal noise of the subframe of the test vehicle by controlling the test vehicle to pass through the target road surface, and obtain the vibration data collected by the vibration sensor and the sound data collected by the sound sensor during the test vehicle's passage through the target road surface. Data can be collected again under the same target road surface and the same conditions, and the changes in parameters such as vibration data and sound data before and after can be compared, perfectly simulating the human ear's perception, realizing the rapid and accurate judgment of the abnormal noise of the subframe, and ensuring the reliability and comparability of the data.
[0044] In step S103, the abnormal noise frequency of the subframe is determined based on the sound data and vibration data, and the abnormal noise location of the subframe is located based on the vibration data and abnormal noise frequency collected by each vibration sensor.
[0045] Among them, the abnormal noise frequency is the number of vibrations of the abnormal noise signal per unit time; the abnormal noise location is the specific area or component on the vehicle that produces the abnormal sound.
[0046] It is understood that the embodiments of this application can determine the frequency of abnormal noise of the subframe and locate the location of abnormal noise of the subframe through sound data and vibration data. The subjective description of sound can be quantified by data to directly point to the specific component or connection point of the abnormal noise. Quantitative data is used to confirm the frequency and energy heard by the human ear, perfectly simulating the human ear's perception, making fault judgment more objective, improving the accuracy of abnormal noise identification and the speed of problem solving, and improving the accuracy and timeliness of the test.
[0047] Specifically, by preprocessing the sound and vibration data, frequency domain analysis is performed to extract their respective main frequencies. Combining the correlation of operating conditions and the natural frequencies of the subframe components, the abnormal noise frequency is finally locked. Using the determined abnormal noise frequency as a reference, the vibration energy of each vibration sensor at that frequency is extracted. By comparing the energy magnitude, the target vibration sensor with the largest energy is locked, and its installation position is the specific location of the abnormal noise in the subframe.
[0048] Furthermore, in the embodiments of this application, determining the abnormal noise frequency of the subframe based on sound data and vibration data includes: identifying multiple sound frequencies in the sound data; identifying multiple vibration frequencies in the vibration data; and determining the abnormal noise frequency of the subframe based on the multiple sound frequencies and multiple vibration frequencies.
[0049] Understandably, this is achieved by identifying the sound frequencies in sound data and the vibration frequencies in vibration data. By determining the frequency of abnormal noises from the subframe and matching it with the inherent frequencies of the subframe components, it is possible to directly pinpoint areas with problems such as looseness, wear, and resonance. Quantitative data is used to confirm the frequencies and energy levels that are perceived by the human ear, perfectly simulating human auditory perception. This allows for precise location of the fault source, improving the accuracy of abnormal noise identification and the speed of problem resolution.
[0050] Specifically, the raw sound data is converted into a frequency domain signal using Fourier transform. Higher amplitude values indicate stronger sound energy at that frequency. The frequencies corresponding to these high amplitude values are extracted to obtain the desired sound frequencies. Similarly, vibration data is converted into a frequency domain signal using Fourier transform. Higher amplitude frequencies in the frequency domain indicate stronger vibration energy at that frequency. The frequencies corresponding to these high amplitude values are extracted, representing the multiple main vibration frequencies in the vibration data. By comparing the data collected by the two microphones, the abnormal noise frequency and energy corresponding to the central microphone below the subframe are determined based on the abnormal noise frequencies detected by the in-vehicle sensors.
[0051] Furthermore, in the embodiments of this application, locating the abnormal noise location of the subframe based on the vibration data and abnormal noise frequency collected by each vibration sensor includes: determining the target sound sensor from each sound sensor based on the abnormal noise frequency; obtaining the frequency filtering range corresponding to the target sound sensor; filtering the vibration data collected by each vibration sensor according to the frequency filtering range to obtain abnormal noise filtered data; and locating the abnormal noise location of the subframe based on the abnormal noise filtered data.
[0052] Among them, the target sound sensor is the one that collects the abnormal noise frequency with the highest amplitude and clearest signal among all sound sensors; the frequency filtering range is the signal range centered on the abnormal noise frequency identified by the target sound sensor, including that frequency and a small number of surrounding frequency bands; the vibration data is the raw data collected by the acceleration sensor, reflecting the change of vibration intensity of the subframe and surrounding components over time; the filtering process is the operation of using signal processing technology to retain the signal within the frequency filtering range in the vibration data and remove all interference signals outside the range.
[0053] Understandably, by determining the target sound sensor based on the abnormal noise frequency and obtaining the corresponding frequency filtering range, the vibration data collected by each vibration sensor is filtered to obtain abnormal noise filtered data, and the abnormal noise location of the subframe is located. With the abnormal noise frequency as the core, through filtering, interference signals unrelated to the abnormal noise in the vibration data can be accurately eliminated. Quantitative data is used to confirm the frequency and energy heard by the human ear, perfectly simulating human ear perception, accurately locating the abnormal noise location, reducing troubleshooting costs, improving the accuracy of abnormal noise identification and the speed of problem solving, and improving the accuracy and timeliness of the test.
[0054] Specifically, after identifying the abnormal noise frequency and confirming the target sound sensor, the source of the abnormal noise is located through precise analysis of vibration data. First, based on the abnormal noise frequency locked by the target microphone, the corresponding frequency filtering range is defined. For example, using the core abnormal noise frequency as a benchmark, an error range of ±3~5Hz is reserved. This range ensures that signal deviations caused by operating condition fluctuations and measurement errors are not overlooked, while minimizing interference from irrelevant frequency bands. Second, for the raw vibration data collected by all vibration sensors, bandpass filtering technology is used to retain only the vibration signals within the frequency filtering range, completely eliminating irrelevant interference outside this range. The final result is filtered abnormal noise data. The core characteristic of this type of data is that it only contains vibration components directly related to the abnormal noise, avoiding interference from complex frequency superposition in the original vibration data.
[0055] After obtaining the abnormal noise filtering data, professional signal analysis tools such as spectrum analyzers and data processing software are used to extract the vibration energy values of each vibration sensor at the target abnormal noise frequency. Since vibration energy attenuates with propagation distance, and the vibration intensity of the abnormal noise source itself is much higher than the vibration transmitted from the surrounding area, the installation location of the vibration sensor with the highest energy is the core candidate point of the abnormal noise. For example, if the vibration sensor attached to the left bushing mounting point of the subframe has an energy value in the 210~220Hz frequency band that is more than three times that of sensors at other locations, it can be preliminarily determined that the abnormal noise is most likely from the left bushing and surrounding connection parts, thereby narrowing the scope of abnormal noise investigation from the entire subframe to a specific area.
[0056] Furthermore, in the embodiments of this application, locating the abnormal noise location of the subframe based on the abnormal noise filtering data includes: determining a reference frequency based on the abnormal noise filtering data; determining the energy of each vibration sensor at the reference frequency from the vibration data; determining a target vibration sensor based on the energy of each vibration sensor at the reference frequency; and determining the abnormal noise location of the subframe based on the installation position of the target vibration sensor.
[0057] Among them, the reference frequency is the frequency related to the abnormal noise of the subframe extracted from the abnormal noise filtering data; the target vibration sensor is the sensor with the largest vibration energy at the reference frequency among all vibration sensors, and its installation position is directly pointed to the area where the abnormal noise source is located.
[0058] Understandably, by determining the reference frequency from the abnormal noise filtering data, determining the energy of the vibration sensor at the reference frequency from the vibration data, and identifying the target vibration sensor and the location of the abnormal noise, the location of the abnormal noise is accurately located, reducing the cost of investigation. Quantitative data is used to confirm the frequency and energy heard by the human ear, perfectly simulating human hearing, improving the accuracy of abnormal noise identification and the speed of problem solving, and enhancing the accuracy and timeliness of the experiment.
[0059] Specifically, the abnormal noise filtering data has removed irrelevant signals such as engine vibration, road noise, and electronic interference, and only retains the vibration components related to the previously identified abnormal noise frequencies. At this time, if the vibration amplitude and energy of a certain frequency in the filtered data are the most prominent, and the frequency exists stably under different operating conditions, it is set as the reference frequency. If there are multiple sources of abnormal noise, multiple reference frequencies are set simultaneously.
[0060] After determining the reference frequency, the vibration energy value at the reference frequency needs to be extracted individually from the raw data of each vibration sensor. The vibration energy value directly reflects the intensity of vibration at the abnormal frequency at the sensor's location. During operation, signal analysis tools such as spectrum analyzers and data processing software can be used to perform frequency domain analysis on the raw data of each sensor to accurately extract the energy value corresponding to the reference frequency.
[0061] After comparing the energy values of all vibration sensors at the reference frequency, the sensor with the highest energy value is designated as the target vibration sensor. For example, if the sensor at the left bushing mounting point has a significantly higher energy value at the reference frequency of 215Hz than other locations, then this sensor is the target vibration sensor. Based on its mounting location, the location of the abnormal noise in the subframe can be preliminarily determined to be most likely in the left bushing and surrounding connection areas. If multiple reference frequencies exist, the target vibration sensor must be determined for each frequency to identify two locations of abnormal noise.
[0062] This application embodiment determines the frequency of abnormal noise in the subframe by using sound data and vibration data, and locates the location of the abnormal noise in the subframe. It can quantify the subjective description of sound by data, directly pointing to the specific component or connection point of the abnormal noise. It uses quantitative data to confirm the frequency and energy heard by the human ear, perfectly simulating human ear perception, making fault judgment more objective, improving the accuracy of abnormal noise identification and the speed of problem solving, and improving the accuracy and timeliness of the test.
[0063] To better understand the solution of this application, the subframe abnormal noise localization method or execution process of this application is described below through a specific embodiment, as follows: Figure 2 As shown: In step m1, the approximate location and environment of the abnormal noise are confirmed.
[0064] The test vehicle's condition was confirmed; it was drivable, had not undergone any preparation or other measures, and had no major defects. The area away from the abnormal noise was kept free of obstructions. Basic vehicle parameters were recorded, including the vehicle number, model, VIN number, and mileage. The test environment was the same as the environment in which the abnormal noise occurred.
[0065] In step m2, the points are placed.
[0066] The three-dimensional vibration acceleration sensor is placed at (1) the connection between the stabilizer bar and the subframe; (2) the connection between the shock absorber spring and the lower crossbeam; (3) the connection between the subframe and the brake disc connecting rod; (4) the connection between the subframe bushing and the lower base; and (5) the connection between the body and the subframe. The microphone is placed at (1) the left side of the headrest of the right rear seat in the vehicle; and (2) the center of the lower part of the rear subframe.
[0067] In step m3, set the parameters.
[0068] Connect the data acquisition unit to the test computer, sensor, and microphone respectively. Select the channel for connecting the sensor. Align the direction displayed in the LMS software with the direction of the sensor on the guide rail. Change the input mode to ICP. Input the sensitivity of the sensor in the software according to different directions. Adjust the upper limit of the detection frequency to 1024Hz. In step m4, a road test is conducted.
[0069] When reproducing the abnormal noise, the vehicle passes over the road surface where the abnormal noise previously occurred. Data collection is performed to ensure stable reproduction of the abnormal noise, and the process is repeated three times.
[0070] In step m5, the data is compared.
[0071] By comparing the data collected by the two microphones, the frequency and energy corresponding to the central microphone under the subframe are determined based on the abnormal noise frequency indicated by the in-vehicle sensors. The monitored vibration data are then filtered according to the microphone frequency filtering range to obtain abnormal noise filtered data.
[0072] In step m6, the analysis is performed.
[0073] By comparing the energy of each vibration sensor at this frequency, it was found that one vibration sensor had the highest energy, thus confirming the location of the abnormal noise.
[0074] In step m7, the location of the abnormal noise is verified.
[0075] The above method was used to further pinpoint the source of the abnormal noise within the narrowed-down area.
[0076] In step m8, the source of the abnormal noise is identified.
[0077] Use appropriate methods to verify the abnormal noise and completely pinpoint the source of the noise.
[0078] Implementation Case: During a road test of a passenger vehicle, a buzzing noise was detected in the rear chassis area. After exiting the vehicle and identifying the source, the noise was pinpointed to the vicinity of the subframe by ear. Professional noise analysis was required. First, the condition of the test vehicle was confirmed. The test vehicle was drivable, had not undergone any maintenance or other measures, and had no major defects. It was ensured that there were no obstructions in the non-noise area. Basic vehicle parameters were recorded, including the test vehicle number, model, VIN number, and mileage. The test environment was the same as the environment in which the noise occurred.
[0079] Arrange the triaxial vibration acceleration sensor at (1) the connection between the stabilizer bar and the subframe; (2) the connection between the shock absorber spring and the lower crossbeam; (3) the connection between the subframe and the brake disc connecting rod; (4) the connection between the subframe bushing and the lower base; (5) the connection between the body and the subframe. Arrange the microphone at (1) the left side of the headrest of the right rear seat in the car; (2) the center of the lower part of the rear subframe. Connect the data acquisition device to the test computer, the sensor and the microphone respectively. Select the channel to connect the sensor. Make the direction displayed by the LMS software correspond to the direction of the sensor on the guide rail. Change the input mode to ICP. Input the sensor in the software according to the different directional sensitivities of the sensor. Adjust the upper limit of the detection frequency to 1024Hz.
[0080] When reproducing the abnormal noise, the vehicle passes over the road surface where the abnormal noise previously occurred. Data collection is performed to ensure stable reproduction of the abnormal noise, and the process is repeated three times.
[0081] By comparing the data collected by the two microphones, the frequency and energy corresponding to the central microphone under the subframe are determined based on the abnormal noise frequency indicated by the in-vehicle sensors. The monitored vibration data are then filtered according to the microphone frequency filtering range to obtain abnormal noise filtered data.
[0082] By comparing the energy of each vibration sensor at this frequency, it was found that vibration sensor No. 4 had the highest energy, confirming that the abnormal noise was located below the subframe bushing.
[0083] Felt was pasted between the base and the subframe bushing to isolate them, which confirmed that the abnormal noise was caused by friction between the base and the subframe bushing.
[0084] After a road test, the abnormal noise disappeared, the measures were effective, and it was confirmed that the abnormal noise was caused by friction between the base and the subframe bushing.
[0085] In summary, the subframe abnormal noise localization method proposed in this application obtains the original test data of the test vehicle with abnormal noise, and uses this as a basis to locate the target road surface that triggers the abnormal noise. Then, by controlling the vehicle to pass through the road surface multiple times, the subframe abnormal noise scenario is reproduced. Vibration data from each vibration sensor and sound data from each sound sensor are collected simultaneously to ensure that the data accurately matches the abnormal noise scenario. Finally, by analyzing the correlation between sound data and vibration data, the core abnormal noise frequency of the subframe is determined. Then, by combining the energy distribution of each vibration sensor at the abnormal noise frequency, the specific location of the abnormal noise is located. Ultimately, the method achieves accurate investigation of subframe abnormal noise, perfectly simulates human ear perception, realizes rapid and accurate judgment of subframe abnormal noise, improves the accuracy of abnormal noise identification and the speed of problem solving, and improves the accuracy and timeliness of the test.
[0086] Next, referring to the accompanying drawings, the subframe noise locating device proposed according to the embodiments of this application is described.
[0087] Figure 3 This is a block diagram of the subframe noise locating device according to an embodiment of this application.
[0088] like Figure 3 As shown, the subframe noise locating device 300 includes: an acquisition module 301, a positioning module 302, and a determination module 303.
[0089] The system includes: an acquisition module 301 for acquiring test data of a test vehicle exhibiting subframe noise; a positioning module 302 for locating the target road surface where the subframe noise occurs based on the test data, controlling the test vehicle to pass through the target road surface at least once to reproduce the subframe noise, and acquiring vibration data collected by each vibration sensor and sound data collected by each sound sensor during the test vehicle's passage through the target road surface; and a determination module 303 for determining the subframe noise frequency based on the sound and vibration data, and locating the subframe noise location based on the vibration data and noise frequency collected by each vibration sensor.
[0090] Furthermore, in the embodiments of this application, the pre-arranged locations of each vibration sensor include multiple locations such as the connection between the stabilizer bar and the subframe, the connection between the shock absorber spring and the lower crossbeam, the connection between the subframe and the brake disc linkage, the connection between the subframe bushing and the lower base, and the connection between the vehicle body and the subframe.
[0091] Furthermore, in the embodiments of this application, the pre-arranged positions of each sound sensor include the left side of the right rear seat headrest and the center below the rear subframe. The determination module 303 is further used to identify multiple sound frequencies in the sound data; identify multiple vibration frequencies in the vibration data; and determine the abnormal noise frequency of the subframe based on the multiple sound frequencies and multiple vibration frequencies.
[0092] Furthermore, in the embodiments of this application, the determining module 303 is further configured to determine the target sound sensor from each sound sensor according to the abnormal noise frequency; obtain the frequency filtering range corresponding to the target sound sensor; filter the vibration data collected by each vibration sensor according to the frequency filtering range to obtain abnormal noise filtering data; and locate the abnormal noise position of the subframe according to the abnormal noise filtering data.
[0093] Furthermore, in the embodiments of this application, the determining module 303 is further configured to determine a reference frequency based on the abnormal noise filtering data; determine the energy of each vibration sensor at the reference frequency from the vibration data; determine a target vibration sensor based on the energy of each vibration sensor at the reference frequency; and determine the location of the abnormal noise on the subframe based on the installation location of the target vibration sensor.
[0094] It should be noted that the foregoing explanation of the subframe abnormal noise positioning method embodiment also applies to the subframe abnormal noise positioning device of this embodiment, and will not be repeated here.
[0095] In summary, the subframe abnormal noise location device proposed in this application acquires the original test data of the test vehicle with abnormal noise, and uses this as a basis to locate the target road surface that triggers the abnormal noise. Then, by controlling the vehicle to pass through the road surface multiple times, the subframe abnormal noise scenario is reproduced. Vibration data from each vibration sensor and sound data from each sound sensor are collected simultaneously to ensure that the data accurately matches the abnormal noise scenario. Finally, by analyzing the correlation between sound data and vibration data, the core abnormal noise frequency of the subframe is determined. Combined with the energy distribution of each vibration sensor at the abnormal noise frequency, the specific location of the abnormal noise is located. Ultimately, the device achieves accurate troubleshooting of subframe abnormal noise, perfectly simulating human ear perception, realizing rapid and accurate judgment of subframe abnormal noise, improving the accuracy of abnormal noise identification and the speed of problem solving, and enhancing the accuracy and timeliness of the test.
[0096] Figure 4 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle 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.
[0097] When the processor 402 executes the program, it implements the subframe abnormal noise location method provided in the above embodiments.
[0098] Furthermore, the vehicle also includes: Communication interface 403 is used for communication between memory 401 and processor 402.
[0099] The memory 401 is used to store computer programs that can run on the processor 402.
[0100] The memory 401 may include high-speed RAM (Random Access Memory) memory, and may also include non-volatile memory, such as at least one disk storage.
[0101] 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 ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.
[0102] 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.
[0103] Processor 402 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of this application.
[0104] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described subframe abnormal noise location method.
[0105] This application also provides a computer program product, including a computer program or instructions, characterized in that, when the computer program or instructions are executed, they implement the above-mentioned subframe abnormal noise location method.
[0106] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are 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.
[0107] 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.
[0108] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.
[0109] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: 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 (FPGAs), field-programmable gate arrays (FPGAs), etc.
[0110] Those skilled in the art will understand that all or part of the steps of the methods implementing 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.
[0111] 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 locating abnormal noise in a subframe, characterized in that, Includes the following steps: Obtain test data from test vehicles exhibiting abnormal noises from the subframe; Based on the test data, locate the target road surface where the abnormal noise of the subframe of the test vehicle occurs, control the test vehicle to pass through the target road surface at least once, so as to reproduce the abnormal noise of the subframe of the test vehicle, and obtain the vibration data collected by each vibration sensor and the sound data collected by each sound sensor during the process of the test vehicle passing through the target road surface. The abnormal noise frequency of the subframe is determined based on the sound data and the vibration data, and the abnormal noise location of the subframe is located based on the vibration data collected by each vibration sensor and the abnormal noise frequency.
2. The subframe abnormal noise location method according to claim 1, characterized in that, The pre-arranged locations of the various vibration sensors include the connection between the stabilizer bar and the subframe, the connection between the shock absorber spring and the lower crossbeam, the connection between the subframe and the brake disc linkage, the connection between the subframe bushing and the lower base, and multiple locations at the connection between the vehicle body and the subframe.
3. The subframe abnormal noise location method according to claim 1, characterized in that, The pre-positioned locations of the various sound sensors include the left side of the headrest of the right rear seat in the vehicle and the center of the area below the rear subframe.
4. The subframe abnormal noise location method according to claim 1, characterized in that, Determining the abnormal noise frequency of the subframe based on the sound data and the vibration data includes: Identify multiple sound frequencies in the sound data; Identify multiple vibration frequencies in the vibration data; The abnormal noise frequency of the subframe is determined based on the plurality of sound frequencies and the plurality of vibration frequencies.
5. The subframe abnormal noise location method according to claim 1, characterized in that, The step of locating the abnormal noise location of the subframe based on the vibration data collected by each vibration sensor and the abnormal noise frequency includes: The target sound sensor is determined from each sound sensor based on the abnormal noise frequency; Obtain the frequency filtering range corresponding to the target sound sensor, and filter the vibration data collected by each vibration sensor according to the frequency filtering range to obtain abnormal noise filtering data. The location of the abnormal noise on the subframe is determined based on the abnormal noise filtering data.
6. The subframe abnormal noise location method according to claim 5, characterized in that, The step of locating the location of the abnormal noise on the subframe based on the abnormal noise filtering data includes: Determine the reference frequency based on the abnormal noise filtering data; The energy of each vibration sensor at the reference frequency is determined from the vibration data; The target vibration sensor is determined based on the energy of each vibration sensor at the reference frequency, and the location of the abnormal noise in the subframe is determined based on the installation position of the target vibration sensor.
7. A subframe noise locating device, characterized in that, Includes the following steps: The acquisition module is used to acquire test data of test vehicles with abnormal noises from the subframe; The positioning module is used to locate the target road surface where the abnormal noise of the subframe of the test vehicle occurs based on the test data, control the test vehicle to pass through the target road surface at least once to reproduce the abnormal noise of the subframe of the test vehicle, and acquire vibration data collected by each vibration sensor and sound data collected by each sound sensor during the process of the test vehicle passing through the target road surface. The determination module is used to determine the abnormal noise frequency of the subframe based on the sound data and the vibration data, and to locate the abnormal noise location of the subframe based on the vibration data collected by each vibration sensor and the abnormal noise frequency.
8. A vehicle, characterized in that, The subframe of the vehicle is used for abnormal noise location using the subframe abnormal noise location method described in any one of claims 1-6.
9. A computer-readable storage medium having a computer program or instructions stored thereon, characterized in that, When the computer program or instructions are executed, they implement the subframe abnormal noise location method according to any one of claims 1-6.
10. A computer program product, comprising a computer program or instructions, characterized in that, When the computer program or instructions are executed, they implement the subframe abnormal noise location method according to any one of claims 1-6.