A method, apparatus, and electronic device for analyzing brake noise in commercial vehicles.

Abstract

This invention relates to a method, device, and electronic device for analyzing brake noise in commercial vehicles, belonging to the field of automotive brake testing technology. The method includes: acquiring first vehicle speed, first engine speed, and first noise data in the driver's cab before braking; based on the first vehicle speed, first engine speed, and first noise data, constructing a correlation between vehicle speed, engine speed, and noise data as the vehicle speed gradually decreases after braking begins; determining the mechanism of brake abnormality based on the correlation, and determining the location of the brake noise based on the mechanism of brake abnormality. This invention solves the technical problem that the existing method of troubleshooting brake components one by one to resolve brake noise is not applicable to mechanical and aerodynamic noise caused by auxiliary braking.

Description

Technical Field

[0001] This invention relates to the field of automotive braking testing technology, and in particular to a method, apparatus, and electronic device for analyzing abnormal braking noises in commercial vehicles. Background Technology

[0002] Commercial vehicles currently widely use disc or drum brakes and are equipped with auxiliary braking devices such as engine braking, exhaust braking, and hydraulic retarders. During actual use, abnormal braking noises sometimes occur. Such noises may indicate that the braking system is not functioning properly and can negatively impact the driving experience. Many factors can cause abnormal braking noises, such as brake malfunctions and motion interference during braking.

[0003] For this type of problem, the conventional testing and analysis method generally involves checking the brakes: 1. Checking for abnormal wear of the friction pads. 2. Deformation of the brake disc or brake drum. 3. Loose brake backing plate or brake caliper. 4. Checking for interference between the cab and chassis moving components. Troubleshooting usually involves subjective evaluation to determine the location of the abnormal noise, followed by checking whether the parts and assembly are consistent with the design specifications.

[0004] This method is not applicable to the troubleshooting and analysis of all braking noise problems, especially mechanical and aerodynamic noise caused by auxiliary braking. Summary of the Invention

[0005] In view of this, it is necessary to provide a method, device and electronic device for analyzing abnormal braking noise in commercial vehicles, so as to solve the technical problem that the existing method of checking each brake component to solve abnormal braking noise is not applicable to mechanical noise and aerodynamic noise caused by auxiliary braking.

[0006] To address the aforementioned problems, this invention provides a method for analyzing brake noise in commercial vehicles, comprising:

[0007] Acquire the first vehicle speed, first engine speed, and first noise data in the driver's cab before braking;

[0008] Based on the first vehicle speed, first rotational speed, and first noise data, the correlation between vehicle speed, rotational speed, and noise data is constructed during the process of vehicle speed gradually decreasing after braking is initiated.

[0009] Based on the aforementioned correlation, the mechanism of brake abnormality is determined, and based on the mechanism of brake abnormality, the location of brake noise is determined.

[0010] In one possible implementation, the first vehicle speed is a preset maximum vehicle speed; the step of constructing the correlation between vehicle speed, rotational speed, and noise data during the gradual decrease of vehicle speed after braking initiation, based on the first vehicle speed, first rotational speed, and first noise data, includes:

[0011] Using vehicle speed as a baseline, a dataset of rotational speed, noise, and vehicle speed is obtained as the vehicle speed gradually decreases from the initial speed to a standstill.

[0012] In one possible implementation, the correlation between vehicle speed, rotational speed, and noise data during the gradual decrease in vehicle speed after braking initiation includes:

[0013] The dataset is preprocessed to obtain the target dataset;

[0014] Based on the target dataset, plot a curve showing the change of vehicle speed, engine speed, and noise over time, and determine the time point at which the abnormal braking noise occurs based on the curve.

[0015] Perform a Fourier transform on the noise data to obtain the noise spectrum.

[0016] The relationship between noise frequency and vehicle speed and rotational speed is determined based on the noise intensity at different frequencies.

[0017] Based on the time point of occurrence of the braking noise, the frequency components of the noise are determined according to the relationship between the noise frequency and vehicle speed and rotational speed.

[0018] In one possible implementation, determining the mechanism of braking abnormality based on the correlation, and determining the location of braking noise based on the mechanism of braking abnormality, includes:

[0019] The source of the noise anomaly is determined by comparing the frequency components of the noise with those of the frequency components under a preset normal state.

[0020] Based on the source of the noise anomaly, determine the braking part that is causing the noise anomaly.

[0021] In one possible implementation, the braking activation includes simultaneously activating the service brake and auxiliary activation; determining the source of the noise anomaly based on a comparison of the noise's frequency components with those of a preset normal state includes:

[0022] When the driving brake noise data is normal but the noise data is abnormal after the auxiliary brake intervenes, determine whether the retarder participates in braking.

[0023] If involved, the working chamber pressure signal of the retarder body is obtained;

[0024] The source of the noise anomaly was determined by the correlation between vehicle speed, engine speed, braking status signal and working chamber pressure signal; among which the braking status signal is the activation of the retarder braking.

[0025] In one possible implementation, the braking activation includes simultaneously activating the service brake and auxiliary activation; determining the source of the noise anomaly based on a comparison of the noise's frequency components with those of a preset normal state includes:

[0026] By using the controlled variable method, each braking component of the auxiliary braking system was activated one by one to identify the location in the auxiliary braking system that caused abnormal noise.

[0027] In one possible implementation, the correlation between vehicle speed, rotational speed, and noise data during the gradual decrease in vehicle speed after braking initiation includes:

[0028] A pre-defined statistical method was used to determine the correlation between vehicle speed, rotational speed, and noise data.

[0029] Secondly, the present invention also provides a commercial vehicle brake noise analysis device, comprising:

[0030] The acquisition module is used to acquire the first vehicle speed, first rotational speed, and first noise data in the cab before braking;

[0031] The relationship determination module is used to construct the correlation between vehicle speed, rotational speed and noise data during the process of gradually decreasing vehicle speed after braking starts, based on the first vehicle speed, first rotational speed and first noise data.

[0032] The anomaly determination module is used to determine the mechanism of braking anomaly based on the correlation, and to determine the location of braking noise based on the mechanism of braking anomaly.

[0033] Thirdly, the present invention also provides an electronic device, comprising: a processor and a memory;

[0034] The memory stores a computer-readable program that can be executed by the processor;

[0035] When the processor executes the computer-readable program, it implements the steps in the commercial vehicle brake noise analysis method as described above.

[0036] Fourthly, the present invention also provides a computer-readable storage medium storing one or more programs that can be executed by one or more processors to implement the steps in the commercial vehicle brake noise analysis method as described above.

[0037] The beneficial effects of this invention are as follows: First, it acquires the first vehicle speed, first rotational speed, and first noise data in the driver's cab before braking. Then, based on these data, it constructs a correlation between vehicle speed, rotational speed, and noise data as the vehicle speed gradually decreases after braking begins. This determines the relationship between vehicle speed, rotational speed, and noise after activating various braking components. Through this correlation, the dynamic changes during braking can be systematically analyzed, and the mechanism of braking anomalies can be determined based on this correlation. Furthermore, the location of abnormal braking noise can be determined based on this mechanism. By quantitatively identifying the location of abnormal noise through the correlation between vehicle speed, rotational speed, and noise, the accuracy and reliability of identification are improved, avoiding errors from subjective judgment. Based on the correlation, the mechanism of braking anomalies can be accurately determined, and the specific location of abnormal braking noise can be further determined. This provides a clear basis for fault diagnosis and repair. Attached Figure Description

[0038] Figure 1 A flowchart illustrating an embodiment of the commercial vehicle brake noise analysis method provided by the present invention;

[0039] Figure 2 The flowchart of an embodiment of the method for analyzing abnormal braking noise in commercial vehicles provided by the present invention is shown in step S101.

[0040] Figure 3 A schematic diagram of time-frequency domain noise signals at each measuring point in the commercial vehicle braking noise analysis method provided by the present invention;

[0041] Figure 4 A schematic diagram of the time-domain noise sound pressure level signal at the measuring point in the commercial vehicle braking noise analysis method provided by this invention;

[0042] Figure 5 This is a schematic diagram of an embodiment of the commercial vehicle brake noise analysis device provided by the present invention;

[0043] Figure 6 This is a schematic diagram of the operating environment of an embodiment of the electronic device provided by the present invention. Detailed Implementation

[0044] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not intended to limit the scope of the present invention.

[0045] A specific embodiment of the present invention discloses a method for analyzing brake noise in commercial vehicles. Please refer to [link / reference]. Figure 1 ,include:

[0046] S101. Acquire the first vehicle speed, first engine speed and first noise data in the cab before braking;

[0047] S102. Based on the first vehicle speed, first rotational speed and first noise data, construct the correlation between vehicle speed, rotational speed and noise data during the process of vehicle speed gradually decreasing after braking starts;

[0048] S103. Based on the aforementioned correlation, determine the mechanism of the braking abnormality, and based on the mechanism of the braking abnormality, determine the location of the braking noise.

[0049] In this embodiment, the first vehicle speed, first rotational speed, and first noise data in the driver's cab before braking are first acquired. Then, based on these data, a correlation is established between vehicle speed, rotational speed, and noise data as the vehicle speed gradually decreases after braking begins. This determines the relationship between vehicle speed, rotational speed, and noise after activating various braking components. Through this correlation, the dynamic changes during braking can be systematically analyzed, and the mechanism of braking anomalies can be determined based on this correlation. Furthermore, the location of abnormal braking noise can be determined based on this mechanism. By quantitatively identifying the location of abnormal noise through the correlation between vehicle speed, rotational speed, and noise, the accuracy and reliability of identification are improved, avoiding errors from subjective judgment. Based on the correlation, the mechanism of braking anomalies can be accurately determined, and the specific location of abnormal braking noise can be further determined. This provides a clear basis for fault diagnosis and repair.

[0050] It should be noted that the first vehicle speed can be the vehicle speed before braking at any time period without braking, and the magnitude of the speed is not limited. The first rotational speed and the first noise data in the driver's cab are the rotational speed and noise data corresponding to the first vehicle speed at the same time. In this embodiment, the first vehicle speed is the maximum vehicle speed set before braking begins. Starting from the maximum vehicle speed, the full dataset of rotational speed, noise, and vehicle speed is obtained as the vehicle speed gradually decreases from the first vehicle speed to a standstill, thereby obtaining more comprehensive and accurate noise data.

[0051] In one specific embodiment, sensors are installed at selected test locations before acquiring vehicle speed, RPM, and noise data. Potential sources of abnormal braking noise include engine brakes, exhaust brakes, force retarder, and wheel-side brakes.

[0052] The steps for selecting test sites and installing test sensors include:

[0053] 1. Install a sensor for testing near-ear noise in the driver's cab next to the driver's seat, with the sensor head facing the driver's ear;

[0054] 2. Install a sensor for testing near-ear noise in the driver's cab next to the passenger seat, with the sensor head facing the passenger's ear;

[0055] 3. A sensor located in the middle of the cylinder head at the top of the engine for testing engine braking noise;

[0056] 4. Install a sensor on the side of the liquid retarder for testing retarder noise;

[0057] 5. Install sensors on the bridge to test the near-field noise of the wheel-side brakes, with the sensor heads facing the brakes;

[0058] 6. Install an oil pressure sensor in the oil chamber of the hydraulic retarder.

[0059] After the vehicle reaches its maximum speed, the accelerator is released, and the service brake and auxiliary brake are engaged sequentially. Vehicle speed, engine speed, and cabin noise data are recorded under the original vehicle condition, service brake condition, and auxiliary brake condition, respectively. Comprehensive analysis of the test data determines the relationship between noise, engine speed, vehicle speed, and cabin acceleration when brake noise occurs, thus identifying the mechanism causing the brake noise.

[0060] In some embodiments, the correlation between vehicle speed, engine speed, and noise data during the gradual decrease in vehicle speed after braking initiation is described in the following reference. Figure 2 ,include:

[0061] S201. Preprocess the dataset to obtain the target dataset;

[0062] S202. Based on the target dataset, plot a curve of vehicle speed-rotation speed-noise over time, and determine the time point when the abnormal braking noise occurs based on the curve.

[0063] S203. Perform a Fourier transform on the noise data to obtain the noise spectrum.

[0064] S204. Determine the relationship between noise frequency and vehicle speed and rotational speed based on the noise intensity at different frequencies;

[0065] S205. Based on the time point of occurrence of abnormal braking noise, determine the frequency components of the noise according to the relationship between noise frequency and vehicle speed and rotational speed.

[0066] In this embodiment, the collected data undergoes denoising and smoothing to reduce the impact of noise on the analysis results and ensure data synchronization and consistency. The changing trends of vehicle speed, engine speed, and noise data along the time axis are observed, and their synchronous changes over time are analyzed. The noise data is then converted to the frequency domain using Fourier transform to analyze the relationship between the frequency components of the noise and vehicle speed and engine speed. Finally, statistical methods such as regression analysis and correlation analysis are used to establish mathematical models or functional relationships between vehicle speed, engine speed, and noise data. This helps to understand and predict noise changes at different vehicle speeds and engine speeds, thereby providing a basis for the design and optimization of the braking system.

[0067] In some embodiments, determining the mechanism of braking abnormality based on the correlation, and determining the location of braking noise based on the mechanism of braking abnormality, includes:

[0068] The source of the noise anomaly is determined by comparing the frequency components of the noise with those of the frequency components under a preset normal state.

[0069] Based on the source of the noise anomaly, determine the braking part that is causing the noise anomaly.

[0070] In this embodiment, the noise contribution of different locations when braking noise occurs is determined by comprehensively analyzing the test data. The contribution is determined by comparing the noise signal with that under normal conditions.

[0071] In some embodiments, the braking activation includes simultaneously activating the service brake and auxiliary activation; determining the source of the noise anomaly based on a comparison of the noise frequency components with the frequency components under a preset normal state includes:

[0072] When the driving brake noise data is normal but the noise data is abnormal after the auxiliary brake intervenes, determine whether the retarder participates in braking.

[0073] If involved, the working chamber pressure signal of the retarder body is obtained;

[0074] The source of the noise anomaly was determined by the correlation between vehicle speed, engine speed, braking status signal and working chamber pressure signal; among which the braking status signal is the activation of the retarder braking.

[0075] In this embodiment, the vehicle starts normally, the service brake works, but an abnormal noise occurs after the auxiliary brake engages. The pressure in the working chamber of the hydraulic retarder needs to be tested, along with near-field noise at different locations (sampling frequency 24000Hz). The vehicle speed decreases sequentially from its maximum value at 10km / h intervals (89→0km / h), and the retarder operates at fixed gears (A, 1, 2, 3) respectively. Simultaneously, engine braking engages according to braking demand. Data acquisition equipment obtains test data for different braking states collected by test sensors. This test data includes vehicle speed signals, engine speed signals, braking status signals, hydraulic pressure sensor signals, and noise sensor signals at each measuring point. Multiple sets of test data are obtained through repeated cyclic testing. Finally, the test data are comprehensively analyzed to determine the noise contribution at different locations when the abnormal braking noise occurs, the relationship between the retarder hydraulic pressure signal and the noise, and to determine the cause of the abnormal braking noise. Figure 3 As shown.

[0076] In some embodiments, the braking activation includes simultaneously activating the service brake and auxiliary activation; determining the source of the noise anomaly based on a comparison of the noise frequency components with the frequency components under a preset normal state includes:

[0077] By using the controlled variable method, each braking component of the auxiliary braking system was activated one by one to identify the location in the auxiliary braking system that caused abnormal noise.

[0078] In this embodiment, after the auxiliary braking A gear is activated, the retarder engages first. When the retarder cannot meet the braking demand, engine braking begins to intervene. After the vehicle speed drops to the target speed, engine braking disengages first. Analysis of the time-frequency domain results shows that the retarder's near-field noise is relatively stable. As the vehicle speed increases and engine braking begins to intervene, the retarder load decreases, and the noise decreases accordingly. The main contributor is the high-frequency aerodynamic noise generated by the brake rocker arm opening the exhaust valve after engine braking is activated. In the cab, due to the relatively low overall noise level and the predominance of low to mid-frequency noise, high-frequency energy is not significant. After disengaging braking A gear, the sound disappears. The noise energy at the top of the engine increases significantly in the 5000Hz-15000Hz range after engine braking intervention (producing abnormal noise). Analysis of the sound pressure level data shows that after activating braking A gear, the retarder's near-field noise increases by approximately 3 dB(A) after engine braking intervention, the engine top noise increases by approximately 1 dB(A), and the cab noise increases slightly (<1 dB(A)). (2) When the auxiliary braking third gear is engaged, the engine braking starts working first, and the retarder intervenes according to the braking demand. When the third braking gear is engaged and the retarder is working normally, the noise energy of the retarder near field and the top of the engine is significantly increased in the range of 5000Hz-15000Hz. After disengaging from the third gear, the high-frequency energy is significantly reduced. When the braking third gear is engaged, the high-frequency energy is not obvious in the cab due to the relatively low overall noise. The noise of the retarder near field increases by about 9dB(A), the noise of the top of the engine increases by about 4dB(A), and the noise in the cab increases slightly (<1dB(A)). When the braking third gear is engaged and the shielded hydraulic retarder is working, the noise energy of the top of the engine is significantly increased in the range of 5000Hz-15000Hz. After disengaging from the third gear, the high-frequency energy is significantly reduced. In the cab, the high-frequency energy is not obvious due to the relatively low overall noise (compared to the outside of the vehicle). The noise of the retarder near field increases by about 4dB(A), the noise of the top of the engine increases by about 3dB(A), and the noise value in the cab does not change much. In summary, the abnormal noise in this embodiment is caused by high-frequency aerodynamic noise generated during engine braking. Furthermore, the fault mechanism is improved and optimized.

[0079] By performing the above tests and data collection actions, the collected signal data such as noise, oil pressure, braking, vehicle speed, and engine speed are comprehensively analyzed. Figure 3 , 4 By comparing the near-field noise from the engine, hydraulic retarder, and wheel ends using Fourier transform analysis, the main noise source can be identified. If the engine noise contributes significantly during braking, the abnormal noise originates from an abnormal engine operating condition; if the retarder noise contributes significantly during braking, the abnormal noise originates from an abnormal retarder operating condition. Similar abnormal noises can be investigated using this testing method and system.

[0080] Based on the above-described method for analyzing brake noise in commercial vehicles, this invention also provides a device for analyzing brake noise in commercial vehicles. Please refer to [link / reference]. Figure 5 ,include:

[0081] The acquisition module 510 is used to acquire the first vehicle speed, the first rotational speed and the first noise data in the cab before braking;

[0082] The relationship determination module 520 is used to construct the correlation between vehicle speed, rotational speed and noise data during the process of vehicle speed gradually decreasing after braking starts, based on the first vehicle speed, first rotational speed and first noise data.

[0083] The anomaly determination module 530 is used to determine the mechanism of braking anomaly based on the correlation relationship, and to determine the location of braking noise based on the mechanism of braking anomaly.

[0084] like Figure 6 As shown, based on the above-described method for analyzing abnormal braking noise in commercial vehicles, this invention also provides an electronic device, which can be a mobile terminal, desktop computer, laptop, handheld computer, server, or other computing electronic device. This electronic device includes a processor 610, a memory 620, and a display 630. Figure 6 Only some components of the electronic device are shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0085] In some embodiments, memory 620 may be an internal storage unit of the electronic device, such as a hard drive or memory. In other embodiments, memory 620 may be an external storage device, such as a plug-in hard drive, smart media card (SMC), secure digital card (SD), flash card, etc. Furthermore, memory 620 may include both internal and external storage devices. Memory 620 is used to store application software and various types of data installed on the electronic device, such as program code installed on the electronic device. Memory 620 may also be used to temporarily store data that has been output or will be output. In one embodiment, memory 620 stores a commercial vehicle brake noise analysis program 640, which can be executed by processor 610 to implement the commercial vehicle brake noise analysis method of the embodiments of this application.

[0086] In some embodiments, processor 610 may be a central processing unit (CPU), microprocessor, or other data processing chip, used to run program code stored in memory 620 or process data, such as executing a method for analyzing abnormal braking noise in commercial vehicles.

[0087] In some embodiments, display 630 may be an LED display, a liquid crystal display, a touch-screen liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 630 is used to display information from the commercial vehicle brake noise analysis electronic device and to display a user interface for visualization. Components 610-630 of the electronic device communicate with each other via a system bus.

[0088] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware, and the program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0089] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for analyzing abnormal braking noise in commercial vehicles, characterized in that, include: Acquire the first vehicle speed, first engine speed, and first noise data in the driver's cab before braking; Based on the first vehicle speed, first rotational speed, and first noise data, a correlation relationship between vehicle speed, rotational speed, and noise data is constructed during the process of vehicle speed gradually decreasing after braking is initiated. The first noise data includes frequency components, and the braking is initiated includes simultaneously initiating the service brake and auxiliary braking. Based on the aforementioned correlation, the mechanism of braking abnormality is determined, and based on the mechanism of braking abnormality, the location of braking noise is determined, including: determining the source of noise abnormality based on the comparison between the frequency components of the noise and the frequency components under a preset normal state; and determining the braking part that generates the noise abnormality based on the source of the noise abnormality. The step of determining the source of noise anomalies based on a comparison between the frequency components of the noise and the frequency components under a preset normal state includes: When the driving brake noise data is normal but the noise data is abnormal after the auxiliary brake intervenes, determine whether the retarder participates in braking. If involved, the working chamber pressure signal of the retarder body is obtained; The source of the noise anomaly was determined based on the correlation between vehicle speed, engine speed, braking status signal, and working chamber pressure signal; among which the braking status signal is the activation of the retarder braking. By using the controlled variable method, each braking component of the auxiliary braking system was activated one by one to identify the location in the auxiliary braking system that caused abnormal noise.

2. The method for analyzing abnormal braking noise in commercial vehicles according to claim 1, characterized in that, The first vehicle speed is a preset maximum vehicle speed; the step of constructing the correlation between vehicle speed, rotational speed, and noise data during the gradual decrease of vehicle speed after braking initiation, based on the first vehicle speed, first rotational speed, and first noise data, includes: Using vehicle speed as a baseline, a dataset of rotational speed, noise, and vehicle speed is obtained as the vehicle speed gradually decreases from the initial speed to a standstill.

3. The method for analyzing abnormal braking noise in commercial vehicles according to claim 2, characterized in that, The correlation between vehicle speed, engine speed, and noise data during the gradual decrease in vehicle speed after braking is initiated includes: The dataset is preprocessed to obtain the target dataset; Based on the target dataset, plot a curve showing the change of vehicle speed, engine speed, and noise over time, and determine the time point at which the abnormal braking noise occurs based on the curve. Perform a Fourier transform on the noise data to obtain the noise spectrum. The relationship between noise frequency and vehicle speed and rotational speed is determined based on the noise intensity at different frequencies. Based on the time point of occurrence of the braking noise, the frequency components of the noise are determined according to the relationship between the noise frequency and vehicle speed and rotational speed.

4. The method for analyzing abnormal braking noise in commercial vehicles according to claim 1, characterized in that, The correlation between vehicle speed, engine speed, and noise data during the gradual decrease in vehicle speed after braking is initiated includes: A pre-defined statistical method was used to determine the correlation between vehicle speed, rotational speed, and noise data.

5. A device for analyzing abnormal braking noise in commercial vehicles, characterized in that, include: The acquisition module is used to acquire the first vehicle speed, first rotational speed, and first noise data in the cab before braking; The relationship determination module is used to construct the correlation between vehicle speed, rotational speed and noise data during the process of vehicle speed gradually decreasing after braking is initiated, based on the first vehicle speed, first rotational speed and first noise data. The first noise data includes frequency components, and the braking is initiated by simultaneously initiating the service brake and auxiliary braking. An anomaly determination module is used to determine the mechanism of braking anomaly based on the aforementioned correlation, and to determine the location of braking noise based on the mechanism of braking anomaly, including: determining the source of noise anomaly based on the comparison between the frequency components of the noise and the frequency components under a preset normal state; and determining the braking part that generates the noise anomaly based on the source of the noise anomaly. The step of determining the source of noise anomalies based on a comparison between the frequency components of the noise and the frequency components under a preset normal state includes: When the driving brake noise data is normal but the noise data is abnormal after the auxiliary brake intervenes, determine whether the retarder participates in braking. If involved, the working chamber pressure signal of the retarder body is obtained; The source of the noise anomaly was determined based on the correlation between vehicle speed, engine speed, braking status signal, and working chamber pressure signal; among which the braking status signal is the activation of the retarder braking. By using the controlled variable method, each braking component of the auxiliary braking system was activated one by one to identify the location in the auxiliary braking system that caused abnormal noise.

6. An electronic device, characterized in that, include: Processor and memory; The memory stores a computer-readable program that can be executed by the processor; When the processor executes the computer-readable program, it implements the steps in the commercial vehicle brake noise analysis method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs, which can be executed by one or more processors to implement the steps in the commercial vehicle brake noise analysis method as described in any one of claims 1-4.

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