Vehicle abnormal sound recognition system and recognition method

Abstract

This invention provides a vehicle abnormal noise identification system and method. The vehicle abnormal noise identification system includes: a data acquisition system for collecting vehicle vibration parameters and noise parameters; a data analysis system for classifying abnormal noises into order-type abnormal noises, resonance-type abnormal noises, or broadband abnormal noises based on the vibration parameters and noise parameters and according to the abnormal noise frequency characteristics; the data acquisition system for collecting corresponding abnormal noise attribute parameters based on the abnormal noise frequency characteristics; and the data analysis system for performing abnormal noise diagnosis based on the abnormal noise attribute parameters; and a data output system for outputting abnormal noise diagnostic parameters. The vehicle abnormal noise identification system according to embodiments of this invention can initially determine the abnormal noise frequency characteristics, narrow down the diagnostic range, and diagnose abnormal noises using effective investigation strategies based on the abnormal noise frequency characteristics. It is highly systematic and efficient.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and specifically to a vehicle abnormal noise identification system and identification method. Background Technology

[0002] Due to the complexity of vehicle systems, abnormal noise problems are often difficult to diagnose. Currently, the main methods for analyzing and judging vehicle abnormal noise problems are: subjective judgment, which involves using auxiliary equipment such as a stethoscope to subjectively determine the approximate location of the noise; objective testing, which involves collecting and analyzing noise data based on experience; and repeated replacement and comparison to confirm the component causing the noise. Current methods for diagnosing vehicle abnormal noises have the following problems:

[0003] (1) Lack of systematic problem investigation: Existing testing methods are effective in investigating abnormal noise problems caused by a single component, but not so effective in investigating complex and comprehensive abnormal noise problems caused by multiple systems. In other words, conventional NVH testing and analysis methods are not comprehensive or accurate enough.

[0004] (2) Limitations of experience-based judgment: Due to the complexity of vehicle systems, the structure of components, the mechanism of noise generation, and the control logic of abnormal noises are all quite complex. Relying solely on experience-based judgment has significant limitations, lacks objective data support, and cannot guide the direction of the investigation.

[0005] (3) Repeated replacement of parts is inefficient: The vehicle system has many parts, and the structure of the parts involved is complex and diverse. The method of repeatedly replacing suspicious parts to check for abnormal noise sources is inefficient. Summary of the Invention

[0006] The technical problem to be solved by the embodiments of the present invention is that existing methods for judging abnormal noises in vehicles usually require a lot of time to repeatedly disassemble, reassemble, test and compare, lack a systematic method and database as support, and have low efficiency in solving the problem.

[0007] In view of this, the present invention provides a vehicle abnormal noise recognition system.

[0008] This invention also provides a method for identifying abnormal noises in vehicles.

[0009] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0010] The vehicle noise recognition system according to a first aspect of the present invention includes:

[0011] The data acquisition system is used to collect vehicle vibration parameters and noise parameters;

[0012] The data analysis system classifies abnormal noise into order abnormal noise, resonance abnormal noise, or broadband abnormal noise based on the vibration parameters and noise parameters and the frequency characteristics of the abnormal noise.

[0013] The data acquisition system collects corresponding abnormal noise attribute parameters based on the abnormal noise frequency characteristics, and the data analysis system performs abnormal noise diagnosis based on the abnormal noise attribute parameters.

[0014] A data output system is used to output abnormal noise diagnostic parameters.

[0015] The vehicle abnormal noise recognition system according to embodiments of the present invention may further include the following technical features:

[0016] Furthermore, the data acquisition system includes a subjective evaluation table, a stethoscope, an acceleration sensor, an acoustic sensor, a CAN bus, a cylinder pressure sensor and a combustion analyzer, a speed sensor, a modal force hammer and a vibrator, and the abnormal noise attribute parameters include vibration parameters, noise parameters, subjective evaluation parameters, vehicle control parameters, engine combustion parameters, speed parameters and modal parameters.

[0017] Furthermore, the abnormal noise diagnostic parameters include the type of abnormal noise, the characteristics of the abnormal noise, the cause of the abnormal noise, and the location of the abnormal noise.

[0018] A vehicle abnormal noise identification method according to a second aspect embodiment of the present invention includes:

[0019] S10. Collect vehicle vibration and noise parameters using a data acquisition system;

[0020] S20. The data analysis system classifies abnormal noise into order abnormal noise, resonance abnormal noise, or broadband abnormal noise based on the vibration parameters and noise parameters and according to the abnormal noise frequency characteristics; the data acquisition system acquires the corresponding abnormal noise attribute parameters based on the abnormal noise frequency characteristics; the data analysis system performs abnormal noise diagnosis based on the abnormal noise attribute parameters.

[0021] S30. Use the data output system to output abnormal noise diagnostic parameters.

[0022] Furthermore, the data acquisition system includes a subjective evaluation table, a stethoscope, an acceleration sensor, an acoustic sensor, a CAN bus, a cylinder pressure sensor and a combustion analyzer, a speed sensor, a modal force hammer and a vibrator, and the abnormal noise attribute parameters include vibration parameters, noise parameters, subjective evaluation parameters, vehicle control parameters, engine combustion parameters, speed parameters and modal parameters.

[0023] Furthermore, the abnormal noise diagnostic parameters include the type of abnormal noise, the characteristics of the abnormal noise, the cause of the abnormal noise, and the location of the abnormal noise.

[0024] Further, in step S20, if the abnormal noise frequency characteristic is an order abnormal noise, then the following steps are included:

[0025] S21. Collect corresponding abnormal noise attribute parameters through the subjective evaluation table and the stethoscope. The data analysis system determines whether the abnormal noise is a powertrain system abnormal noise or a traditional system abnormal noise based on the attribute parameters.

[0026] S22. If the abnormal noise is a powertrain system noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor, the acoustic sensor, the CAN line, the cylinder pressure sensor, and the combustion analyzer. The data analysis system determines, based on the attribute parameters, whether the abnormal noise of the powertrain system is one or more of the following: abnormal noise of the engine body and its accessories, transmission gear meshing squeal, or fan noise. If the abnormal noise is a transmission system noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor, the acoustic sensor, and the speed sensor. The data analysis system determines, based on the attribute parameters, whether the abnormal noise of the powertrain system is transmission gear meshing squeal.

[0027] Further, in step S20, if the abnormal noise is a resonant abnormal noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor, the acoustic sensor, the rotation speed sensor, the modal force hammer and the exciter. The data analysis system determines whether the resonant abnormal noise is a torsional modal resonant abnormal noise or a structural modal resonant abnormal noise based on the attribute parameters.

[0028] Further, in step S20, if the abnormal noise is a wideband abnormal noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor, the acoustic sensor, the CAN line and the speed sensor. The data analysis system determines whether the wideband abnormal noise is one or more of the following: starting impact abnormal noise, gearbox knocking abnormal noise, shifting impact abnormal noise, transmission gear knocking abnormal noise or impact abnormal noise without frequency characteristics, based on the attribute parameters.

[0029] The above-described technical solution of the present invention has at least the following technical effects:

[0030] The vehicle abnormal noise identification system according to embodiments of the present invention can initially determine the frequency characteristics of abnormal noises, narrow down the diagnostic range, and diagnose abnormal noises by adopting effective investigation strategies based on the frequency characteristics of abnormal noises. It is highly systematic and efficient. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the structure of a vehicle abnormal noise recognition system according to an embodiment of the present invention;

[0032] Figure 2 This is a schematic diagram illustrating the working principle of a vehicle abnormal noise recognition system according to an embodiment of the present invention.

[0033] Figure 3 This is a schematic diagram illustrating the working principle of the data acquisition system in the vehicle abnormal noise identification system according to an embodiment of the present invention.

[0034] Figure 4 This is a schematic diagram illustrating the specific working principle of a vehicle abnormal noise recognition system according to an embodiment of the present invention;

[0035] Figure 5 This is a flowchart of a vehicle abnormal noise identification method according to an embodiment of the present invention;

[0036] Figure 6 This is a flowchart of step S20 of the vehicle abnormal noise identification method according to an embodiment of the present invention.

[0037] Figure Labels

[0038] Vehicle noise identification system 100; data acquisition system 10; data analysis system 20; data output system 30; subjective evaluation form 11; stethoscope 12; acceleration sensor 13; acoustic sensor 14; CAN cable 15; cylinder pressure sensor and combustion analyzer 16; speed sensor 17; modal force hammer and vibrator 18. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention are within the scope of protection of the present invention.

[0040] The vehicle noise recognition system 100 according to an embodiment of the present invention will now be described in detail with reference to the accompanying drawings.

[0041] The vehicle noise recognition system 100 according to an embodiment of the present invention includes a data acquisition system 10, a data analysis system 20, and a data output system 30.

[0042] Specifically, such as Figure 1 and Figure 2 As shown, the data acquisition system 10 is used to collect vehicle vibration parameters and noise parameters. The data analysis system 20 classifies abnormal noises into order abnormal noises, resonance abnormal noises, or broadband abnormal noises based on the vibration parameters and noise parameters and the frequency characteristics of the abnormal noises. The data acquisition system 10 collects the corresponding abnormal noise attribute parameters based on the frequency characteristics of the abnormal noises. The data analysis system 20 performs abnormal noise diagnosis based on the abnormal noise attribute parameters. The data output system 30 is used to output abnormal noise diagnostic parameters.

[0043] In other words, the vehicle noise identification system 100 according to an embodiment of the present invention comprises a data acquisition system 10, a data analysis system 20, and a data output system 30. For various vehicle noises, firstly, such as... Figure 4 As shown, the data acquisition system 10 collects vehicle vibration and noise parameters. The data analysis system 20, based on a database (which categorizes problems into three types: order problems, resonance problems, and broadband problems), initially determines the abnormal noise frequency characteristics as order-related, resonance-related, or broadband-related, thus narrowing down the scope of the judgment. Based on the specific abnormal noise frequency characteristics, the data acquisition system 10 further collects corresponding abnormal noise attribute parameters using different NVH testing methods and imports these parameters into the data analysis system 20. The data analysis system 20 further analyzes the abnormal noise attribute parameters and automatically determines the cause. The data output system 30 is connected to the data analysis system 20 to output the abnormal noise diagnosis results, completing the rapid diagnosis and identification of vehicle abnormal noises.

[0044] Therefore, the vehicle abnormal noise identification system 100 according to the present invention can initially determine the frequency characteristics of abnormal noise, narrow the diagnostic range, and diagnose abnormal noise by adopting an effective investigation strategy based on the frequency characteristics of abnormal noise. It is highly systematic, efficient, and accurate.

[0045] Preferably, such as Figure 3 As shown, the data acquisition system 10 includes a subjective evaluation table 11, a stethoscope 12, an acceleration sensor 13, an acoustic sensor 14, a CAN line 15, a cylinder pressure sensor and a combustion analyzer 16, a speed sensor 17, a modal force hammer and a vibrator 18. The abnormal noise attribute parameters include vibration parameters, noise parameters, subjective evaluation parameters, vehicle control parameters, engine combustion parameters, speed parameters and modal parameters.

[0046] Specifically, the data acquisition system 10 consists of multiple subsystems, each performing different NVH test and analysis functions. Among them, the subjective evaluation table 11 and stethoscope 12 are used to collect subjective evaluation parameters; the accelerometer 13 is a triaxial accelerometer used to collect vibration parameters; the acoustic sensor 14 is used to collect noise parameters; the CAN bus 15 is used to collect vehicle control parameters; the cylinder pressure sensor and combustion analyzer 16 are used to collect engine combustion parameters; the speed sensor 17 is a photoelectric or magnetoelectric sensor used to collect speed parameters; and the modal hammer and vibrator 18 are used to collect modal parameters.

[0047] In one embodiment of the present invention, such as Figure 2 As shown, the abnormal noise diagnostic parameters include the type of abnormal noise, the characteristics of the abnormal noise, the cause of the abnormal noise, and the location of the abnormal noise.

[0048] In other words, a rapid and effective investigation strategy is developed based on the frequency characteristics of abnormal noises, and NVH testing and analysis methods are used to quickly and accurately locate the type, characteristics, location, and cause of abnormal noises, thereby quickly completing the diagnosis of vehicle abnormal noises.

[0049] Therefore, the vehicle abnormal noise identification system 100 according to the present invention can initially determine the frequency characteristics of abnormal noise, narrow the diagnostic range, and diagnose abnormal noise by adopting an effective investigation strategy based on the frequency characteristics of abnormal noise. It is highly systematic and efficient.

[0050] According to one embodiment of the present invention, a vehicle abnormal noise identification method includes:

[0051] S10. Use the data acquisition system 10 to collect vehicle vibration parameters and noise parameters.

[0052] like Figure 5 As shown, to address various vehicle noises, firstly, vehicle vibration and noise parameters are collected through the data acquisition system 10.

[0053] S20, the data analysis system 20 classifies abnormal noise into order abnormal noise, resonance abnormal noise, or broadband abnormal noise based on the vibration parameters and noise parameters and the frequency characteristics of the abnormal noise; the data acquisition system 10 collects the corresponding abnormal noise attribute parameters based on the frequency characteristics of the abnormal noise; the data analysis system 20 performs abnormal noise diagnosis based on the abnormal noise attribute parameters.

[0054] In other words, the data analysis system 20 uses a database (which categorizes the problem system into three types: order problems, resonance problems, and broadband problems) to initially determine whether the abnormal noise is one or more of the following: order noise, resonance noise, or broadband noise, thus narrowing down the scope of judgment. The data acquisition system 10 then uses different NVH testing methods to collect corresponding abnormal noise attribute parameters based on the specific frequency characteristics of the abnormal noise. The data analysis system 20 further analyzes these abnormal noise attribute parameters and automatically determines the cause and location of the abnormal noise.

[0055] S30, use the data output system 30 to output abnormal noise diagnostic parameters.

[0056] In other words, based on the abnormal noise diagnosis principle diagram and flowchart, the data output system 30 outputs the abnormal noise diagnosis results, completing the rapid diagnosis and identification of vehicle abnormal noises.

[0057] Preferably, such as Figure 3 As shown, the data acquisition system 10 includes a subjective evaluation table 11, a stethoscope 12, an acceleration sensor 13, an acoustic sensor 14, a CAN line 15, a cylinder pressure sensor and a combustion analyzer 16, a speed sensor 17, a modal force hammer and a vibrator 18. The abnormal noise attribute parameters include vibration parameters, noise parameters, subjective evaluation parameters, vehicle control parameters, engine combustion parameters, speed parameters and modal parameters.

[0058] Specifically, the data acquisition system 10 consists of multiple subsystems, each performing different NVH testing and analysis methods. Among them, the subjective evaluation table 11 and stethoscope 12 are used to collect subjective evaluation parameters; the accelerometer 13 is a triaxial accelerometer used to collect vibration parameters; the acoustic sensor 14 is used to collect noise parameters; the CAN bus 15 is used to collect vehicle control parameters; the cylinder pressure sensor and combustion analyzer 16 are used to collect engine combustion parameters; the speed sensor 17 is a photoelectric or magnetoelectric sensor used to collect speed parameters; and the modal hammer and vibrator 18 are used to collect modal parameters.

[0059] Preferably, such as Figure 2 As shown, the abnormal noise diagnostic parameters include the type of abnormal noise, the characteristics of the abnormal noise, the cause of the abnormal noise, and the location of the abnormal noise.

[0060] In other words, a rapid and effective investigation strategy is developed based on the frequency characteristics of abnormal noises, and NVH testing and analysis methods are used to quickly and accurately locate the type, characteristics, location, and cause of abnormal noises, thereby quickly completing the diagnosis of vehicle abnormal noises.

[0061] According to one embodiment of the present invention, such as Figure 6 As shown, in step S20, if the abnormal noise frequency characteristic is an order abnormal noise, then the following steps are included:

[0062] S21. Collect the corresponding abnormal noise attribute parameters through the subjective evaluation table 11 and stethoscope 12. The data analysis system 20 determines whether the abnormal noise is a powertrain system abnormal noise or a traditional system abnormal noise based on the attribute parameters.

[0063] In other words, if the abnormal noise frequency characteristics are order abnormal noise, the corresponding subjective evaluation data are collected through the subjective evaluation table 11 and the stethoscope 12, and the data analysis system 20 is used to determine whether the order abnormal noise comes from the powertrain system or the transmission system, so as to further narrow down the test range.

[0064] S22. If the abnormal noise is a powertrain system noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor 13, acoustic sensor 14, CAN line 15, cylinder pressure sensor and combustion analyzer 16. The data analysis system 20 determines whether the abnormal noise of the powertrain system is one or more of the following: abnormal noise of the engine body and its accessories, gear meshing squeal of the transmission, or abnormal noise of the fan. If the abnormal noise is a transmission system noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor 13, acoustic sensor 14 and speed sensor 17. The data analysis system 20 determines whether the abnormal noise of the powertrain system is gear meshing squeal of the transmission system.

[0065] Specifically, such as Figure 4As shown, if the abnormal noise originates from the powertrain system, acceleration data, noise data, vehicle control parameters, and engine combustion data are collected sequentially via acceleration sensor 13, acoustic sensor 14, CAN line 15, cylinder pressure sensor, and combustion analyzer 16. The specific location of the abnormal noise is determined by comparing the noise level, the operating status of each component, and the frequency. If the noise level is strongly correlated with the operating frequency of the engine and its accessories, it is determined to be an abnormal noise from the engine body and its accessories; if the noise level is strongly correlated with the gear position and its working gears, it is determined to be a transmission gear meshing squealing noise; if the noise level is strongly correlated with the fan operating frequency, it is determined to be a fan noise.

[0066] If the abnormal noise originates from the transmission system, it is necessary to further collect relevant abnormal noise attribute parameters of the powertrain system to narrow down the range of abnormal noise judgment. At this time, an acceleration sensor 13, an acoustic sensor 14, and a speed sensor 17 are used, and the specific location of the abnormal noise is determined by comparing the abnormal noise order, speed, and number of meshing teeth of the working gear. If the abnormal noise order is strongly correlated with the working gear of the transmission system, then the resonance abnormal noise is the meshing whistling of the transmission gear.

[0067] In one embodiment of the present invention, in step S20, if the abnormal noise is a resonant abnormal noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor 13, the mechanical sensor 14, the rotational speed sensor 17, the modal force hammer, and the exciter 18. The data analysis system 20 determines whether the resonant abnormal noise is a torsional modal resonance abnormal noise (i.e., torsional vibration) or a structural modal resonance abnormal noise based on the attribute parameters. Torsional vibration is characterized by the excitation of the torsional mode, resulting in a torsional booming sound; structural modal resonance abnormal noise is characterized by the excitation of the structural modes of the system or components, resulting in a resonant booming sound.

[0068] Preferably, in step S20, if the abnormal noise is a wideband abnormal noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor 13, acoustic sensor 14, CAN line 15 and speed sensor 17. The data analysis system 20 determines whether the wideband abnormal noise is one or more of the following: starting impact abnormal noise, gearbox knocking abnormal noise, shifting impact abnormal noise, transmission gear knocking abnormal noise or impact abnormal noise without frequency characteristics.

[0069] Specifically, the wide-band abnormal noise is further determined by using the accelerometer 13, acoustic sensor 14, CAN line 15, and speed sensor 17 to determine the specific cause and location of the abnormal noise. When the wide-band abnormal noise is an impact noise without frequency characteristics: if the abnormal noise occurs near the exhaust pipe, it is caused by the thermal expansion and contraction of the exhaust system pipeline due to the low ambient temperature and long-term outdoor parking. In this case, the abnormal noise is an exhaust impact noise that is prone to occur under cold start conditions; if the abnormal noise impact occurs near the carbon canister solenoid valve and is strongly correlated with the working state of the carbon canister solenoid valve, it can be determined as a carbon canister solenoid valve impact noise; if the abnormal noise impact occurs near the turbocharger exhaust bypass valve and is strongly correlated with the working state of the turbocharger bypass valve, it can be determined as a knocking abnormal noise from the turbocharger exhaust bypass valve.

[0070] It should be noted that when the abnormal noise is a wide-frequency abnormal noise: under starting conditions, if the impact occurs near the dual-mass flywheel and a distinct, continuous "thumping" sound is heard during starting, it can be diagnosed as a DMF dual-mass flywheel starting impact abnormal noise; if the abnormal noise impact occurs near the non-working gears of the transmission, and the abnormal noise disappears when the working meshing gears are switched, it can be diagnosed as a transmission non-working gear knocking abnormal noise; if the time of the abnormal noise impact corresponds to the time of gear shifting, and the acceleration of the transmission housing has a significant peak, it can be diagnosed as a shifting impact abnormal noise. If the abnormal noise is not related to the gear position, and the acceleration sensor 13 and acoustic sensor 14 determine that the impact occurs near the transmission system, it is due to an unreasonable gear engagement clearance inside the transmission system, resulting in a gear impact abnormal noise. The gear impact abnormal noise occurs in the transmission system, and its characteristic is that the peak value of the impact acceleration is transmitted from large to small to adjacent components. Combined with the lag of the impact time, it can be divided into transfer case impact abnormal noise, transmission impact abnormal noise, and rear axle impact abnormal noise.

[0071] In summary, the vehicle abnormal noise identification method according to the embodiments of the present invention can initially determine the frequency characteristics of abnormal noise, narrow down the diagnostic range, and diagnose abnormal noise by adopting an effective investigation strategy based on the frequency characteristics of abnormal noise. It is highly systematic and efficient.

[0072] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship also changes accordingly.

[0073] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A vehicle abnormal noise recognition system, characterized in that, include: The data acquisition system is used to collect vehicle vibration parameters and noise parameters; The data analysis system classifies abnormal noise into order abnormal noise, resonance abnormal noise, or broadband abnormal noise based on the vibration parameters and noise parameters and the frequency characteristics of the abnormal noise. The data acquisition system collects corresponding abnormal noise attribute parameters based on the abnormal noise frequency characteristics, and the data analysis system performs abnormal noise diagnosis based on the abnormal noise attribute parameters. Data output system, the data output system being used to output abnormal noise diagnostic parameters; The abnormal noise diagnostic parameters include the type of abnormal noise, the characteristics of the abnormal noise, the cause of the abnormal noise, and the location of the abnormal noise; The data acquisition system includes a subjective evaluation form, a stethoscope, an acceleration sensor, an acoustic sensor, a CAN bus, a cylinder pressure sensor and a combustion analyzer, a speed sensor, a modal force hammer and a vibrator; If the abnormal noise frequency characteristic is an order-type abnormal noise, then the corresponding abnormal noise attribute parameters are collected through the subjective evaluation table and the stethoscope. The data analysis system determines whether the order-type abnormal noise is a powertrain system abnormal noise or a traditional system abnormal noise based on the attribute parameters. If the order-type abnormal noise is a powertrain system abnormal noise, then the corresponding abnormal noise attribute parameters are collected through the acceleration sensor, the acoustic sensor, the CAN bus, the cylinder pressure sensor, and the combustion analyzer. The data analysis system determines whether the powertrain system abnormal noise is one or more of the following: engine body and accessory abnormal noise, transmission gear meshing squeal, or fan abnormal noise. If the order-type abnormal noise is a transmission system abnormal noise, then the corresponding abnormal noise attribute parameters are collected through the acceleration sensor, the acoustic sensor, and the speed sensor. The data analysis system determines whether the powertrain system abnormal noise is a transmission gear meshing squeal based on the attribute parameters. If the abnormal noise is a resonant abnormal noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor, the acoustic sensor, the rotation speed sensor, the modal force hammer and the exciter. The data analysis system determines whether the resonant abnormal noise is a torsional modal resonant abnormal noise or a structural modal resonant abnormal noise based on the attribute parameters. If the abnormal noise is a wide-band abnormal noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor, the acoustic sensor, the CAN line and the speed sensor. The data analysis system determines whether the wide-band abnormal noise is one or more of the following: starting impact abnormal noise, gearbox knocking abnormal noise, shifting impact abnormal noise, transmission gear knocking abnormal noise or impact abnormal noise without frequency characteristics, based on the attribute parameters.

2. The vehicle abnormal noise recognition system according to claim 1, characterized in that, The abnormal noise attribute parameters include vibration parameters, noise parameters, subjective evaluation parameters, vehicle control parameters, engine combustion parameters, speed parameters, and modal parameters.

3. A method for identifying abnormal noises in vehicles, characterized in that, include: S10. Collect vehicle vibration and noise parameters using a data acquisition system; S20. The data analysis system classifies abnormal noise into order abnormal noise, resonance abnormal noise, or broadband abnormal noise based on the vibration parameters and noise parameters and according to the abnormal noise frequency characteristics; the data acquisition system acquires the corresponding abnormal noise attribute parameters based on the abnormal noise frequency characteristics; the data analysis system performs abnormal noise diagnosis based on the abnormal noise attribute parameters. S30. Utilize the data output system to output abnormal noise diagnostic parameters; The abnormal noise diagnostic parameters include the type of abnormal noise, the characteristics of the abnormal noise, the cause of the abnormal noise, and the location of the abnormal noise; The data acquisition system includes a subjective evaluation form, a stethoscope, an acceleration sensor, an acoustic sensor, a CAN bus, a cylinder pressure sensor and a combustion analyzer, a speed sensor, a modal force hammer and a vibrator; In step S20, if the abnormal noise frequency characteristic is an order-type abnormal noise, the following steps are included: S21, collecting corresponding abnormal noise attribute parameters through the subjective evaluation table and the stethoscope, and the data analysis system determining whether the order-type abnormal noise is a powertrain system abnormal noise or a traditional system abnormal noise based on the attribute parameters; S22, if the order-type abnormal noise is a powertrain system abnormal noise, collecting corresponding abnormal noise attribute parameters through the acceleration sensor, the acoustic sensor, the CAN line, the cylinder pressure sensor, and the combustion analyzer, and the data analysis system determining whether the powertrain system abnormal noise is one or more of the following: engine body and accessory abnormal noise, transmission gear meshing squeal, or fan abnormal noise; if the order-type abnormal noise is a transmission system abnormal noise, collecting corresponding abnormal noise attribute parameters through the acceleration sensor, the acoustic sensor, and the speed sensor, and the data analysis system determining whether the powertrain system abnormal noise is a transmission gear meshing squeal based on the attribute parameters. In step S20, if the abnormal noise is a resonant abnormal noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor, the acoustic sensor, the rotation speed sensor, the modal force hammer and the exciter. The data analysis system determines whether the resonant abnormal noise is a torsional modal resonant abnormal noise or a structural modal resonant abnormal noise based on the attribute parameters. In step S20, if the abnormal noise is a wideband abnormal noise, the corresponding abnormal noise attribute parameters are collected by the acceleration sensor, the acoustic sensor, the CAN line and the speed sensor. The data analysis system determines whether the wideband abnormal noise is one or more of the following: starting impact abnormal noise, gearbox knocking abnormal noise, shifting impact abnormal noise, transmission gear knocking abnormal noise or impact abnormal noise without frequency characteristics, based on the attribute parameters.

4. The vehicle abnormal noise identification method according to claim 3, characterized in that, The abnormal noise attribute parameters include vibration parameters, noise parameters, subjective evaluation parameters, vehicle control parameters, engine combustion parameters, speed parameters, and modal parameters.

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