Abnormal Sound Identification Method, Device and Storage Medium for a Vehicle and Its Differential

Abstract

This application belongs to the field of automobiles, and proposes a method, device and storage medium for identifying abnormal noises of an automobile and its differential. The method includes: collecting vibration signals and sound signals during the operation of the differential; determining the vehicle speed range when abnormal noise sound characteristics exist according to the sound signals; determining the frequency range with abnormal vibration characteristics according to the vibration signals, and determining the energy of this frequency range, where the frequency in the frequency range is the vibration frequency of the differential; according to the preset corresponding relationship, combining the determined vehicle speed range and the energy of the determined frequency range, determining the abnormal noise identification result of the differential. By increasing the energy of the frequency range determined by the abnormal vibration characteristics in the vibration signal and the vehicle speed range determined by the abnormal noise sound characteristics to determine the abnormal noise identification result, the detection signal is made more comprehensive, which is conducive to improving the accuracy of the abnormal noise identification result.

Description

Technical Field

[0001] This application belongs to the field of automobiles, and particularly relates to a method, device, and storage medium for identifying abnormal noises of automobiles and their differentials. Background Art

[0002] A differential is a mechanism that enables the left and right (or front and rear) drive wheels of an automobile to rotate at different speeds. Due to reasons such as insufficient differential lubricating oil, poor meshing between the driving gear and the driven gear, or wear of the driving gear and the driven gear, abnormal noises may occur in the differential during the driving of the automobile. If the abnormal noise of the differential cannot be identified in a timely manner, it will affect the driving experience of the vehicle owner.

[0003] Currently, the existing abnormal noise identification methods usually target the steering mechanism. By collecting the sound characteristics in the sound signal of the steering mechanism and determining the abnormal noise state of the steering mechanism based on the sound characteristics. In this abnormal noise detection method, the method of detecting abnormal noises based on sound signals may have identification deviations, resulting in low accuracy of abnormal noise identification. Summary of the Invention

[0004] In view of this, embodiments of this application provide a method, device, and storage medium for identifying abnormal noises of a vehicle and its differential to solve the problem that the existing abnormal noise detection method may have identification deviations and low accuracy of abnormal noise identification.

[0005] The first aspect of the embodiments of this application provides a method for identifying abnormal noises of a differential, the method including: collecting vibration signals and sound signals during the operation of the differential; determining the vehicle speed range when abnormal noise sound characteristics exist according to the sound signals; determining the frequency range where abnormal noise vibration characteristics exist according to the vibration signals, determining the energy of this frequency range, and the frequency in this frequency range is the vibration frequency of the differential; determining the abnormal noise identification result of the differential according to the first corresponding relationship between the preset vehicle speed range and the score, and the second corresponding relationship between the energy of the frequency range and the score, in combination with the vehicle speed range when abnormal noise sound characteristics exist and the energy of the frequency range corresponding to the vibration signal where abnormal noise vibration characteristics exist.

[0006] When identifying abnormal noises of the differential, while collecting the sound signal during the operation of the differential, the vibration signal of the differential is also collected. By comparing the sound signal with the abnormal noise sound characteristics, the vehicle speed range corresponding to the sound signal with abnormal noise can be found. Based on the frequency range with abnormal vibration characteristics in the vibration signal, the energy of this frequency range is determined. Based on the energy of the determined frequency range and the determined vehicle speed range, combined with the second corresponding relationship between the energy of the frequency range and the score, and the first corresponding relationship between the vehicle speed range and the score, the abnormal noise identification result of the differential is determined. Since the energy of the frequency range for detecting abnormal vibration characteristics is additionally introduced in this application, and the abnormal noise identification result of the differential is jointly determined based on the energy of the frequency range and the vehicle speed range, compared with the detection method of the sound signal, the detection signal is more comprehensive, which is beneficial to improving the accuracy of the identification result.

[0007] In a possible implementation manner of the first aspect, determining the frequency range with abnormal vibration characteristics according to the vibration signal and determining the energy of this frequency range includes: determining the frequency range corresponding to the predetermined multiple of the octave of the vibration signal; determining the vibration frequency when there are abnormal vibration characteristics in the vibration signal; determining the frequency range to which this vibration frequency belongs, and obtaining the energy of the determined frequency range according to the vibration frequency of the differential.

[0008] When determining the energy of the frequency range where the vibration signal with abnormal vibration characteristics is located, first determine the frequency range corresponding to the vibration signal, and then based on the frequency range where the vibration frequency with abnormal vibration characteristics in the vibration signal is located, and calculate the energy in this frequency range. By determining the energy of the frequency range with abnormal vibration characteristics, the strength of the vibration of the differential can be reflected by the magnitude of the energy.

[0009] In a possible implementation manner of the first aspect, determining the frequency range corresponding to the predetermined multiple of the octave of the vibration signal includes: determining the frequency range corresponding to the 1 / 3 octave of the vibration signal.

[0010] By using the frequency range division method of the 1 / 3 octave, the divided frequency ranges can better match the frequency bands of the sounds perceived by the human ear, which is convenient for more accurately distinguishing the identification results of abnormal noises at different levels.

[0011] In a possible implementation manner of the first aspect, collecting the vibration signal and the sound signal during the operation of the differential includes: determining one or more working conditions of the differential through the preset steering wheel position, throttle opening and vehicle speed range; collecting the vibration signal and the sound signal of the differential according to the determined working conditions.

[0012] Among them, the preset steering wheel positions may include steering wheel positions at different angles, including one or more of the positions such as turning the steering wheel fully to the left or right, turning the steering wheel one and a half turns to the left or right, turning the steering wheel one turn to the left or right, turning the steering wheel half a turn to the right or left, and going straight. Of course, it is not limited to this, and other angles can also be set according to the test needs. The throttle opening can include one or more of the openings such as 10%, 20%, 30%, 40%, 50%, 0%, etc. For new energy vehicles, it can also include the openings with and without energy recovery. The speeds of the preset multiple vehicle speed ranges can be less than a predetermined speed threshold, such as less than 30 km / h. The vehicle speed can be made within the range less than this speed threshold, and the working conditions can be determined based on the throttle opening and the steering wheel position. By detecting and identifying vehicle abnormal noises based on the determined multiple working conditions, a more comprehensive working condition evaluation and detection can be obtained, making the detection result more credible.

[0013] In a possible implementation manner of the first aspect, vibration signals and sound signals during the operation of the differential are collected, including: collecting the vibration signals of the differential through vibration sensors arranged on the differential housing, and collecting the sound signals through microphones arranged at the driving position.

[0014] By arranging vibration sensors on the housing of the differential, the vibration signals of the differential can be directly and effectively collected. The sound signals collected by the microphones arranged at the driving position can be similar to the sounds heard by the driver and passengers, so as to more truly simulate the abnormal noise identification results of the driver and passengers. Among them, the driving position includes the driver position or the non-driver position. The driving position can be the position near the human ear of the driver and passengers when they are sitting in the vehicle, for example, it can be arranged at the vehicle ceiling and near the human ear of the driver and passengers.

[0015] In a possible implementation manner of the first aspect, the first corresponding relationship between the preset vehicle speed range and the score includes: the rotation speed in the vehicle speed range is positively correlated with the score corresponding to the vehicle speed range; or, the second corresponding relationship between the energy in the frequency range and the score includes: the energy in the frequency range is negatively correlated with the score in the frequency range.

[0016] For two differential solutions with abnormal noises, if the vehicle speed ranges with abnormal noises are different, the corresponding scores are also different. Based on the positive correlation between the vehicle speed range and the score, the abnormal noise in the low vehicle speed range has a more obvious impact on the driving experience, so its score is lower. For the energy in different-sized frequency ranges, the greater the energy, the stronger the vibration, and the lower the corresponding score.

[0017] In a possible implementation of the first aspect, according to the first correspondence between the preset vehicle speed range and the score, and the second correspondence between the energy of the frequency range and the score, combining the determined vehicle speed range and the energy of the determined frequency range, to determine the abnormal sound recognition result of the differential, including: according to the first correspondence between the preset vehicle speed range and the score, determining the first score corresponding to the vehicle speed range when there is an abnormal sound feature; according to the second correspondence between the energy of the preset frequency range and the score, determining the second score corresponding to the energy of the frequency range when there is an abnormal vibration feature; according to the first score, the second score and the preset weight coefficient, determining the abnormal sound recognition result of the differential.

[0018] According to the pre-set correspondence, after determining the first score corresponding to the sound signal and the second score corresponding to the vibration signal, the weight of the attention to the sound signal or the vibration signal can be set according to the recognition result, and the abnormal sound recognition result is calculated based on the set weight.

[0019] In a possible implementation of the first aspect, the abnormal sound recognition result of the differential includes the abnormal sound recognition results of different differential schemes of the vehicle. After determining the abnormal sound recognition result of the differential, the method further includes: selecting a differential scheme according to the abnormal sound recognition results of different differential schemes.

[0020] For different differential schemes, including differential schemes composed of different half - shaft gaskets, differential gears and other components. Based on the abnormal sound recognition results of different differential schemes, it is convenient to accurately select a differential scheme that meets the requirements.

[0021] In a possible implementation of the first aspect, the abnormal sound recognition result of the differential includes the abnormal sound recognition results after replacing different components of the differential. After determining the abnormal sound recognition result of the differential, the method further includes: locating the component with abnormal sound in the differential according to the abnormal sound recognition results after replacing different components of the differential.

[0022] When there is an abnormal sound in the differential, multiple different differential schemes can be obtained by replacing components one by one. According to the abnormal sound recognition results of different differential schemes, the abnormal component can be determined, so as to facilitate the rapid fault location of the differential and improve the maintenance efficiency of the differential.

[0023] In the second aspect of the embodiments of the present application, a device for identifying abnormal noises of a differential is provided. The device includes: a signal acquisition unit for acquiring vibration signals and sound signals during the operation of the differential; a vehicle speed range determination unit for determining the vehicle speed range when abnormal noise sound characteristics exist according to the sound signals; a frequency range determination unit for determining the frequency range where abnormal vibration characteristics exist according to the vibration signals, determining the energy of the frequency range, and the frequencies in the frequency range being the vibration frequencies of the differential; and an identification result determination unit for determining the abnormal noise identification result of the differential according to a first corresponding relationship between a preset vehicle speed range and a score, and a second corresponding relationship between the energy of the frequency range and a score, in combination with the determined vehicle speed range and the energy of the determined frequency range.

[0024] In the third aspect of the embodiments of the present application, a vehicle is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method according to any one of the first aspect are implemented.

[0025] In the fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of the first aspect are implemented.

[0026] It can be understood that the beneficial effects of the above second aspect to the fourth aspect can be referred to the relevant descriptions in the above first aspect and second aspect, and will not be elaborated here. Description of the Drawings

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0028] Figure 1 It is a schematic diagram of an implementation scenario of a method for identifying abnormal noises of a differential provided by the embodiments of the present application;

[0029] Figure 2 It is a schematic diagram of an implementation process of a method for identifying abnormal noises of a differential provided by the embodiments of the present application;

[0030] Figure 3 It is a diagram showing the installation positions of microphones for collecting sound signals of abnormal noises of a differential provided by the embodiments of the present application;

[0031] Figure 4It is a schematic diagram of the rotational speed frequency generated by the vibration frequency in the vibration signal and the engine speed provided by an embodiment of the present application;

[0032] Figure 5 It is a schematic diagram of the energy corresponding to the frequency range of 1 / 3 octave provided by an embodiment of the present application;

[0033] Figure 6 It is a schematic diagram of the total score table of seven differential schemes under the first working condition provided by an embodiment of the present application;

[0034] Figure 7 It is a schematic diagram of the total score table of seven differential schemes under the second working condition provided by an embodiment of the present application;

[0035] Figure 8 It is a schematic diagram of a abnormal sound identification device for a differential provided by an embodiment of the present application;

[0036] Figure 9 It is a schematic diagram of a vehicle provided by an embodiment of the present application. Detailed implementation manners

[0037] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0038] In order to illustrate the technical solutions described in the present application, the following will be described through specific embodiments.

[0039] A differential refers to a mechanism that can make the left and right drive wheels or the front and rear drive wheels of an automobile rotate at different speeds. The differential mainly includes left and right half-axle gears, two planetary gears, and a gear carrier. When the automobile turns or travels on an uneven road surface, the differential makes the left and right wheels roll at different speeds, enabling the two drive wheels to perform pure rolling motion, reducing the probability of sliding motion of the two drive wheels, and improving the safety of automobile driving.

[0040] During the use of a differential, due to improper assembly or wear of the differential components, abnormal noises may occur in the differential. For example, improper clearances between the half-shaft gear neck of the differential and the differential housing, improper fits between the cross-shaft journal of the differential and the differential housing, improper side clearances between the spline gear of the half-shaft and the keyway of the differential half-shaft gear, improper meshing clearances between the half-shaft gear and the planetary gear of the differential, improper meshing clearances between the conical driving and driven gears of the differential, or wear of the thrust washer, etc., may all cause abnormal noises in the differential, which will not only affect the service life of the differential but also the driving experience of the passengers. Currently, the method for identifying abnormal noises usually judges whether there is an abnormal noise based on the analysis of sound signals, and cannot effectively evaluate and compare abnormal noises, which is not conducive to accurately locating the faults of the differential and screening solutions.

[0041] Based on this, the embodiment of the present application proposes a method for identifying abnormal noises of a differential, and through this method, an accurate and comprehensive abnormal noise identification result of the differential can be obtained. Figure 1 It is a schematic diagram of the implementation scenario of a method for identifying abnormal noises of a differential provided by the embodiment of the present application. As Figure 1 shown, this implementation scenario includes a vibration sensor, a microphone, and an information processing device. Among them, the vibration sensor can be set at the differential housing of the vehicle to detect the vibration signal of the differential of the vehicle. The microphone can be set at the driving position in the vehicle so that the sound signal collected by the microphone is basically the same as the sound signal heard by the passengers. The information processing device can be an in-vehicle unit or other computing devices set in the vehicle, or a server set remotely. Based on the information processing device detecting the collected sound signal and vibration signal, determine the vehicle speed range corresponding to when the abnormal noise sound characteristics are included in the sound signal, and determine the energy of the frequency range corresponding to when the abnormal noise vibration characteristics are included in the vibration signal. Based on the energy of the determined vehicle speed range and frequency range, generate an abnormal noise identification result of the differential.

[0042] Figure 2 It is a schematic diagram of the implementation process of a method for identifying abnormal noises of a differential provided by the embodiment of the present application, which is described in detail as follows:

[0043] In S201, collect the vibration signal and sound signal when the differential is running.

[0044] The vibration signal when the differential is running can be collected by the vibration sensor. Its installation position can be set at the differential housing. When the differential makes an abnormal noise, it usually vibrates together with the differential housing. Based on the vibration signal set at the differential housing, the vibration signal when the differential makes an abnormal noise due to vibration can be effectively detected.

[0045] The sound signal during the operation of the differential can be collected through a microphone. To more accurately simulate the sound signal heard by the driver and passengers, the microphone can be set at a position close to the human ear of the driver and passengers. For example, in Figure 3 In the microphone installation position diagram shown, the microphone can be set at the corresponding position A of the driver's head when driving the vehicle, such as on the inner surface of the vehicle roof, etc. Without being limited to this, it can also be set at the corresponding positions of the heads of non-driving personnel, including the corresponding positions of the heads of the passengers in the co-driver, the rear seat of the driver, the rear seat of the co-driver, the middle position in the back row, etc. Or, in possible implementation manners, the microphone can also be set at other positions far from the human ears of the driver and passengers.

[0046] In the embodiments of the present application, in order to comprehensively and accurately identify abnormal noises of the differential, multiple working conditions can be preset, and the sound signals and vibration signals are collected in sequence based on the preset multiple working conditions. The sound signals and vibration signals collected under different working conditions are identified and detected to determine the abnormal noise identification results of the vehicle under different working conditions.

[0047] Among them, the working conditions can include one or several of the steering wheel position, throttle opening, and vehicle speed range.

[0048] For example, the steering wheel position can include steering wheel positions at different angles, including one or more of positions such as turning the steering wheel fully to the left or right, turning the steering wheel one and a half turns to the left or right, turning the steering wheel one turn to the left or right, turning the steering wheel half a turn to the right or left, and going straight. Of course, without being limited to this, other angles can also be set according to the test requirements.

[0049] The throttle opening can include one or more of openings such as 10%, 20%, 30%, 40%, 50%, 0%, etc. For new energy vehicles, it can also include openings with and without energy recovery. Without being limited to the above-set opening values, other throttle openings can also be selected according to actual test or detection requirements.

[0050] It can be preset that the speed of the vehicle is less than a predetermined speed threshold, such as less than 30 km / h or less than 25 km / h. For example, within the range of less than 25 km / h, it can be divided into multiple vehicle speed ranges. Based on the divided multiple vehicle speed ranges, multiple detection working conditions are determined for the detection and identification of vehicle abnormal noises, and a more comprehensive working condition evaluation and detection can be obtained, making the detection results more reliable.

[0051] When the speed of the vehicle is less than 25 km / h, the divided vehicle speed ranges can include vehicle speed ranges such as 0 - 5 km / h, 5 - 10 km / h, 10 - 15 km / h, 15 - 20 km / h, and 20 - 25 km / h.

[0052] After presetting test parameters of working condition types such as throttle opening, steering wheel position, and speed range, different combinations can be made based on different types of test parameters to obtain working conditions composed of different types of test parameters. For example, a preset steering wheel position, such as a steering wheel position of turning one circle to the left, can be combined with different throttle openings and different speeds respectively to obtain different working conditions. Or, the working condition can also be composed of the combination of throttle opening and steering wheel position, and within the range where the vehicle speed is less than a preset speed threshold, different working conditions can be obtained.

[0053] After determining multiple working conditions according to the steering wheel position, throttle opening, and vehicle speed range, the acquisition and processing of sound signals and vibration signals can be carried out based on the determined working conditions to obtain the abnormal sound recognition results corresponding to each working condition. The abnormal sound recognition result of the differential can be obtained by synthesizing the abnormal sound recognition results under different working conditions.

[0054] In S202, determine the vehicle speed range when there is an abnormal sound feature according to the sound signal.

[0055] In the embodiments of the present application, the abnormal sound feature is the feature of the sound generated when there is an abnormal sound in the differential. This abnormal sound feature can be the time-frequency signal feature included in the sound signal.

[0056] The abnormal sound feature when there is an abnormal sound in the differential can be preset. This abnormal sound feature can include the sound signals when the differential makes abnormal sounds under different working conditions, as well as the sound signals when different components of the differential fail or are abnormal. Determine a feature library including multiple abnormal sound features through the sound signals when different components fail and the sound signals when the differential makes abnormal sounds under different working conditions.

[0057] For example, when the thrust washer of the differential is worn, when there is such a failure in the differential, control the differential to operate under different working conditions, and collect the sound signals of the differential under different working conditions. Determine the abnormal sound feature according to the generated sound signals.

[0058] When judging whether the collected sound signal includes an abnormal sound, the time-frequency characteristics and frequency-domain characteristics in the collected sound signal can be determined through time-frequency analysis, and based on the comparison of the time-domain characteristics and frequency-domain characteristics, determine whether the collected sound signal includes an abnormal sound feature.

[0059] Alternatively, a sound sample can be preset in advance. The sound sample includes sound segments with abnormal sound characteristics. The sound sample is input into a preset neural network model for sound recognition. The recognition result output by the neural network model is compared with the sound segments with abnormal sound characteristics marked in the sample. The parameters of the neural network model are adjusted according to the difference between the two until the difference between the recognition result of the sound sample output by the neural network model and the calibrated recognition result meets the preset requirements. Based on the trained neural network model, it is detected whether the collected sound signal includes abnormal sound characteristics.

[0060] Among them, the sound samples used to train the neural network model can include the sounds generated under different working conditions and when different components fail. In this way, a more comprehensive sound sample can be obtained for training, thereby improving the detection accuracy of the neural network model.

[0061] Multiple working conditions can be set, and sound signals are collected under multiple working conditions respectively. When it is detected that the sound signal has abnormal sound characteristics, the working condition that generates the sound signal can be found, and the vehicle speed range where the current vehicle is located can be obtained based on the found working condition.

[0062] In S203, according to the vibration signal, the frequency range with abnormal vibration characteristics is determined, and the energy of the frequency range is determined.

[0063] Among them, the frequency in the frequency range is the vibration frequency of the differential.

[0064] In the embodiment of the present application, the abnormal vibration characteristic is the characteristic of the vibration generated when the differential has abnormal noise. The abnormal vibration characteristic may include information such as vibration frequency and vibration amplitude.

[0065] The abnormal vibration characteristics when the differential has abnormal noise can be preset in advance. The abnormal vibration characteristics may include vibration signals when the differential has abnormal noise under different working conditions, and vibration signals when different components of the differential fail or are abnormal. Through the vibration signals when different components fail and when the differential has abnormal noise under different working conditions, a feature library including multiple abnormal vibration characteristics is determined.

[0066] For example, when the thrust washer of the differential is worn, when the differential has this fault, the differential can be controlled to operate under different working conditions, and the vibration signals of the differential under different working conditions are collected. The abnormal vibration characteristics are determined according to the vibration signals that appear.

[0067] By comparing the similarity of vibration signals, it can be determined whether the collected vibration signals have abnormal vibration characteristics. This includes comparing the similarity of vibration frequencies and comparing the similarity of vibration amplitudes, etc. By comparing the similarity of vibration signals, when the similarity between the two (the collected vibration signal and the preset abnormal vibration characteristics) is greater than the preset similarity threshold, it can be considered that the collected vibration signal includes abnormal vibration characteristics, and the vibration frequency in the vibration signal of the differential can be obtained under the current working condition. According to the obtained vibration frequency, the frequency range to which the vibration frequency belongs is searched for.

[0068] Alternatively, the vibration frequency in the collected vibration signal can also be used to generate a rotational speed-frequency diagram as shown in Figure 4 where the horizontal axis is the engine speed (or it can also be the vehicle speed), the vertical axis is the vibration frequency of the differential, and the brightness of the color corresponds to the energy of the frequency. The higher the color brightness, the greater the energy corresponding to the frequency. According to the rotational speed-frequency diagram, the vibration frequency with abnormal vibration characteristics can be intuitively determined.

[0069] The frequency ranges in the embodiments of the present application can be obtained by evenly dividing the preset frequency range, or can be obtained by dividing according to a preset octave, such as 1 / 2 octave, 1 / 3 octave, etc. Among them, the preset frequency range can be the vibration frequency range of the differential or the frequency range that can be felt by the human ear. For example, the frequency range is 20 Hz - 20000 Hz.

[0070] In order to more accurately simulate the difference in the frequencies of the vibration signals heard by the human ear, the frequency range that can be felt by the human ear can be divided according to 1 / 3 octave to obtain multiple frequency ranges that can be distinguished by the human ear.

[0071] For example, when dividing according to 1 / 3 octave, the frequency ranges related to the frequency range that can be felt by the human ear include a frequency range with a lower cut-off frequency of 17.8, an upper cut-off frequency of 22.4, and a center frequency of 20, a frequency range with a lower cut-off frequency of 22.4, an upper cut-off frequency of 28.2, and a center frequency of 25, etc.

[0072] By comparing the determined frequency range with the vibration frequency when abnormal vibration characteristics are detected in the vibration signal, the frequency range to which the vibration signal of the differential belongs can be determined.

[0073] For example Figure 4 in the rotational speed-frequency diagram as shown, according to the brightness of the color in the image, the vibration frequency with abnormal vibration characteristics is approximately in area B near 300 Hz, and the 1 / 3 octave frequency range to which it belongs is a frequency range with a lower limit frequency of 282 Hz, an upper limit frequency of 355 Hz, and a middle frequency of 315.

[0074] When it is determined that the vibration frequency in the vibration signal has abnormal noise vibration characteristics, the energy of the vibration signal in the determined frequency range can be calculated. Among them, the energy of the vibration signal in this frequency range can be determined by vibration parameters such as the vibration amplitude and vibration frequency of the sound signal generated by the vibration of the differential.

[0075] For example, in a possible implementation, according to parameters such as the vibration frequency and vibration amplitude in the frequency range, the energy of the vibration frequency existing in different frequency ranges can be calculated through a formula. It can be obtained as Figure 5 the energy diagram corresponding to the 1 / 3 octave frequency range as shown. In Figure 5 the energy diagram in, it can be seen that the frequency range determined by the abnormal noise vibration characteristics is mainly located in frequency range C of 282 - 355 Hz. Determine all the vibration frequencies existing in this frequency range, and determine the energy of this frequency range based on all the vibration frequencies.

[0076] In S204, according to the first corresponding relationship between the preset vehicle speed range and the score, and the second corresponding relationship between the energy of the frequency range and the score, combined with the determined vehicle speed range and the energy of the determined frequency range, determine the abnormal noise recognition result of the differential.

[0077] After determining the vehicle speed range when there is an abnormal noise sound characteristic and the energy of the frequency range when there is an abnormal noise vibration characteristic, according to the pre-set corresponding relationship, obtain the scores corresponding to the determined vehicle speed range and energy, and comprehensively calculate the scores of the two to obtain the total score of the differential under a certain working condition.

[0078] Among them, the corresponding relationship can include the first corresponding relationship and the second corresponding relationship. The first corresponding relationship represents the corresponding relationship between the vehicle speed range and the score, and the second corresponding relationship represents the corresponding relationship between the energy and the score. Based on the first corresponding relationship, the first score of the sound signal collected under the current working condition can be determined, that is, the first score corresponding to the vehicle speed range when there is an abnormal noise sound characteristic in the sound signal. Based on the second corresponding relationship, the second score corresponding to the vibration signal collected under the current working condition can be determined, that is, the second score corresponding to the energy of the frequency range when there is an abnormal noise vibration characteristic.

[0079] Among them, in the first corresponding relationship between the vehicle speed range and the score, the rotational speed of the vehicle speed range is positively correlated with the score corresponding to the vehicle speed range. That is, the greater the rotational speed in the vehicle speed range, the higher the score. In the second corresponding relationship between the energy of the frequency range and the score, the energy of the frequency range is negatively correlated with the score. That is, the greater the energy, the lower the score.

[0080] An example of the first corresponding relationship between the vehicle speed range and the score can be shown in the following table:

[0081] Vehicle speed range 0 - 5 km / h 5 - 10 km / h 10 - 15 km / h 15 - 20 km / h 20 - 25 km / h Code name GR1 GR2 GR3 GR4 GR5 Points deducted 3 2.5 2 1.5 1

[0082] As can be seen from the above figure, when a sound signal including abnormal sound characteristics is collected, the current vehicle speed is determined. According to the preset vehicle speed intervals, the vehicle speed interval to which the current vehicle speed belongs can be determined. Based on the vehicle speed interval to which the current vehicle speed belongs, the corresponding deduction points can be found (it is also possible to find the corresponding scores by modifying the values. For example, in the vehicle speed interval of 0 - 5 km / h, when there are abnormal sound characteristics, the score is 0, and when there are no abnormal sound characteristics, the score is 3, and the value of this score can be adjusted flexibly as needed).

[0083] After determining the deduction points for different vehicle speed intervals, the state when there are no abnormal sound characteristics in all vehicle speed intervals can be set as full marks. The throttle opening and steering wheel position of the vehicle can be adjusted to make the vehicle in different working conditions. For each working condition determined by the throttle opening and steering wheel position, the vehicle speed is gradually adjusted to make it in different vehicle speed intervals in the above table, and the deduction points for different vehicle speed intervals are determined. If there are no abnormal sound characteristics in the sound signal in a certain vehicle speed interval, the deduction point is 0. Specifically:

[0084] In the 0 - 5 kph interval: If there are abnormal sound characteristics in the collected sound signal, GR1 = 3; if not, GR1 = 0.

[0085] In the 5 - 10 kph interval: If there are abnormal sound characteristics in the collected sound signal, GR2 = 2.5; if not, GR2 = 0.

[0086] In the 10 - 15 kph interval: If there are abnormal sound characteristics in the collected sound signal, GR3 = 2; if not, GR3 = 0.

[0087] In the 15 - 20 kph interval: If there are abnormal sound characteristics in the collected sound signal, GR4 = 1.5; if not, GR4 = 0.

[0088] In the 20 - 25 kph interval: If there are abnormal sound characteristics in the collected sound signal, GR5 = 1; if not, GR5 = 0.

[0089] Subtracting the deduction points of each vehicle speed interval from the full marks, the first score corresponding to the sound signal under a certain working condition can be obtained. That is:

[0090] An example of the second correspondence relationship between the energy of the frequency interval and the score can be shown in the following table:

[0091]

[0092] As can be seen from the above table, when a vibration signal including abnormal noise vibration characteristics is collected, the frequency range to which the current vibration frequency belongs is determined, and the energy of this frequency range is determined. According to the corresponding relationship between the above energy and the score, the score of the energy of this frequency range can be determined. For example, the energy of the determined frequency range is 120, which belongs to the energy range of 119-122, and the corresponding score is 2.

[0093] After calculating the first score corresponding to the sound signal and the second score corresponding to the vibration signal, the total score can be calculated according to the preset weight coefficients.

[0094] For example, the total score can be calculated according to the following formula:

[0095] Grade Total = G1*m + G2*n

[0096] where Grade Total is the total score, G1 is the first score, G2 is the second score, and m and n are the weight coefficients.

[0097] Based on the determined total score, it can be used as the abnormal noise recognition result of the differential to evaluate the abnormal noise state of the differential. For example, the lower the total score, the greater the abnormal noise of the differential and the worse the driving experience of the driver and passengers. The higher the total score, the smaller the abnormal noise of the differential and the better the driving experience of the driver and passengers.

[0098] In order to obtain a comprehensive and accurate abnormal noise recognition result, multiple working conditions obtained by arranging and combining different state parameters of the throttle opening, steering wheel position, and vehicle speed range can be tested and calculated respectively to obtain the total scores under different working conditions. Based on the total scores under different working conditions, the abnormal noise recognition result of the vehicle's differential can be comprehensively determined. For example, through the method of screening by the score threshold, when the total score is lower than the predetermined first score threshold, an alarm or prompt message for differential failure can be generated.

[0099] In the embodiment of the present application, the differential solution can be screened according to the abnormal noise recognition result of the differential.

[0100] Components with different performances, components with different prices, or different assembly schemes can be selected to obtain multiple differential solutions. The total scores of different solutions are calculated through the preset working conditions.

[0101] For example, Figure 6Schematic diagram of the total score table for seven differential schemes under the first working condition. According to the first score for the vehicle speed range when there is a sound signal with abnormal noise characteristics for different schemes, and the second score corresponding to the energy in the frequency range of the vibration signal with abnormal vibration characteristics, the total score of the abnormal noise recognition result of the differential under the first working condition is determined.

[0102] For example, for Scheme 2, by detecting in different vehicle speed ranges, the vehicle speed range when there is a sound signal with abnormal noise characteristics is 17 - 25, that is, the sound signals in the preset vehicle speed ranges of 15 - 20 and 20 - 25 both have abnormal noise characteristics. According to the above table of the first score, the deducted scores are 1.5 and 1 respectively. Subtracting the deducted scores from the full score, that is, 10 - 1.5 - 1 = 7.5. So the first score of Scheme 2 under the first working condition is 7.5 points.

[0103] The second score of Scheme 2 under the first working condition is 4. When the weight coefficients are both 0.5, then the total score = 7.5 * 0.5 + 4 * 0.5 = 5.75. Of course, the weight coefficients can also be set to other data as needed. The sum of the weight coefficient of the first score and the weight coefficient of the second score is 1.

[0104] From Figure 6 It can be seen that under the first working condition, Scheme 7 has the highest score (10), indicating that under the first working condition, the abnormal noise of the differential is the smallest, followed by Scheme 4 (9.5). [[ID=!2]]

[0105] Figure 7 Schematic diagram of the total score table for seven differential schemes under the second working condition. Based on the first working condition, the throttle opening or the steering wheel position can be adjusted to determine the second working condition for testing. Under different working conditions, the scores of the first score and the second score may change.

[0106] For example, for Scheme 2, by detecting in different vehicle speed ranges, the vehicle speed range when there is a sound signal with abnormal noise characteristics is 8 - 25, that is, the sound signals in the preset vehicle speed ranges of 5 - 10, 10 - 15, 15 - 20, and 20 - 25 all have abnormal noise characteristics. According to the above table of the first score, the deducted scores are 2.5, 2, 1.5, and 1 respectively. Subtracting the deducted scores from the full score, that is, 10 - 2.5 - 2 - 1.5 - 1 = 3. So the first score of Scheme 3 under the first working condition is 3 points.

[0107] And through Figure 7As can be seen from the table shown, by changing the working conditions, the score of Solution 4 decreased from 9.5 points in the first working condition to 4.75 points in the second working condition. That is, in the second working condition, the abnormal noise of the differential increased significantly, reducing the usage experience of the driver and passengers. In the second working condition, the overall score of Solution 7 was 9.5. If the second scoring threshold is preset to 7, then in both the first and second working conditions, the overall score of Solution 7 is greater than the second scoring threshold. To obtain more accurate test results, more working conditions can be selected to obtain the abnormal noise recognition results of the differential, and whether the differential is qualified can be detected according to the overall score in the abnormal noise recognition results.

[0108] In a possible implementation manner, the embodiment of the present application can also use the abnormal noise recognition result of the differential for the fault location detection of the differential. By replacing the components in the differential, and when each component is replaced, the differential after replacing one component is respectively tested for the abnormal noise scoring result under the set working conditions. If the scoring of the abnormal noise of the differential increases significantly after replacing the new differential component, the replaced component can be located as the faulty component of the differential.

[0109] Among them, the set working conditions can be the working conditions when the overall score of the differential is less than the first scoring threshold. By adjusting different working conditions, the overall score of the differential can be made less than the first scoring threshold. The set working conditions can include one or more working conditions.

[0110] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution is prior or posterior, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0111] Figure 8 As shown in the schematic diagram of an abnormal noise recognition device for a differential provided by an embodiment of the present application, Figure 8 as shown, the device includes:

[0112] A signal acquisition unit 801, configured to acquire vibration signals and sound signals when the differential is operating;

[0113] A vehicle speed range determination unit 802, configured to determine the vehicle speed range when there is an abnormal noise sound feature according to the sound signal;

[0114] A frequency range determination unit 803, configured to determine the frequency range where there is an abnormal noise vibration feature according to the vibration signal, determine the energy of the frequency range, and the frequency in the frequency range is the vibration frequency of the differential;

[0115] An identification result determination unit 804, configured to determine an abnormal noise identification result of the differential according to a first correspondence between a preset vehicle speed range and a score, and a second correspondence between the energy of a frequency range and a score, in combination with the determined vehicle speed range and the energy of the determined frequency range.

[0116] Figure 9 The abnormal noise identification device of the differential shown is corresponding to Figure 2 the abnormal noise identification method of the differential shown.

[0117] Figure 9 It is a schematic diagram of a vehicle provided by an embodiment of the present application. As Figure 9 shown, the vehicle 9 of this embodiment includes: a processor 90, a memory 91, and a computer program 92 stored in the memory 91 and executable on the processor 90, such as an abnormal noise identification program for the differential. When the processor 90 executes the computer program 92, the steps in the above-mentioned embodiments of the abnormal noise identification method for each differential are implemented. Alternatively, when the processor 90 executes the computer program 92, the functions of each module / unit in the above-mentioned device embodiments are implemented.

[0118] Exemplarily, the computer program 92 may be divided into one or more modules / units. The one or more modules / units are stored in the memory 91 and executed by the processor 90 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 92 in the vehicle 9.

[0119] The vehicle may include, but is not limited to, a processor 90 and a memory 91. Those skilled in the art can understand that Figure 9 this is only an example of the vehicle 9 and does not constitute a limitation on the vehicle 9. It may include more or fewer components than shown in the figure, or combine some components, or different components. For example, the vehicle may further include input / output devices, network access devices, buses, etc.

[0120] The so-called processor 90 may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0121] The memory 91 may be an internal storage unit of the vehicle 9, such as the hard disk or memory of the vehicle 9. The memory 91 may also be an external storage device of the vehicle 9, such as a plug-in hard disk equipped on the vehicle 9, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the memory 91 may also include both the internal storage unit of the vehicle 9 and the external storage device. The memory 91 is used to store the computer program and other programs and data required by the vehicle. The memory 91 may also be used to temporarily store data that has been output or is to be output.

[0122] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiments can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.

[0123] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0124] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0125] In the embodiments provided in this application, it should be understood that the disclosed device / terminal device and method can be implemented in other ways. For example, the device / terminal device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0126] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0127] In addition, the functional units in each embodiment of this application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0128] When the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above-described embodiment methods of this application, it can also be completed by hardware related to computer program instructions. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0129] The above-described embodiments are only used to illustrate the technical solutions of this application, rather than to limit them; although this application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of this application, and should all be included in the protection scope of this application.

Claims

1. A method for identifying abnormal noises of a differential, characterized in that, The method includes: Collecting vibration signals and sound signals when the differential is operating; Determining the vehicle speed range when abnormal sound characteristics exist based on the sound signal; Determining the frequency range with abnormal vibration characteristics based on the vibration signal, and determining the energy of the frequency range, where the frequencies in the frequency range are the vibration frequencies of the differential; Determining the abnormal sound identification result of the differential based on a first correspondence between a preset vehicle speed range and a score, and a second correspondence between the energy of the frequency range and a score, in combination with the determined vehicle speed range and the energy of the determined frequency range; the first correspondence is that the rotational speed in the vehicle speed range is positively correlated with the score corresponding to the vehicle speed range; the second correspondence is that the energy of the frequency range is negatively correlated with the score of the frequency range.

2. The method according to claim 1, wherein Determining the frequency range with abnormal vibration characteristics based on the vibration signal, and determining the energy of the frequency range, includes: Determining the frequency range corresponding to a predetermined multiple of the octave of the vibration signal; Determining the vibration frequency when abnormal vibration characteristics exist in the vibration signal; Determining the frequency range to which the vibration frequency belongs, and obtaining the energy of the determined frequency range based on the vibration frequency of the differential.

3. The method according to claim 2, characterized in that Determining the frequency range corresponding to a predetermined multiple of the octave of the vibration signal, includes: Determining the frequency range corresponding to the 1 / 3 octave of the vibration signal.

4. The method according to claim 1, wherein Collecting vibration signals and sound signals when the differential is operating, includes: Determining one or more operating conditions of the differential based on a preset steering wheel position, throttle opening, and vehicle speed range; Collecting the vibration signal and sound signal of the differential according to the determined operating conditions.

5. The method according to any one of claims 1-4, characterized in that, Collecting vibration signals and sound signals when the differential is operating, includes: Collecting the vibration signal of the differential through a vibration sensor provided on the differential housing, and collecting the sound signal through a microphone provided at the driver and passenger position.

6. The method according to claim 1, wherein Determining the abnormal sound identification result of the differential based on a first correspondence between a preset vehicle speed range and a score, and a second correspondence between the energy of the frequency range and a score, in combination with the determined vehicle speed range and the energy of the determined frequency range, includes: Determining a first score corresponding to the vehicle speed range when abnormal sound characteristics exist based on the first correspondence between the preset vehicle speed range and the score; Determining a second score corresponding to the energy of the frequency range with abnormal vibration characteristics based on the second correspondence between the energy of the preset frequency range and the score; Determining the abnormal sound identification result of the differential based on the first score, the second score, and a preset weight coefficient.

7. The method according to claim 1, wherein The abnormal sound identification result of the differential includes the abnormal sound identification results of different differential schemes of the vehicle. After determining the abnormal sound identification result of the differential, the method further includes: Selecting a differential scheme based on the abnormal sound identification results of different differential schemes.

8. The method according to claim 1, characterized in that The abnormal sound identification result of the differential includes the abnormal sound identification results after replacing different components of the differential. After determining the abnormal sound identification result of the differential, the method further includes: Locate the component of the differential that makes abnormal noises based on the abnormal noise identification results after replacing different components of the differential.

9. An abnormal noise recognition device for a differential, characterized in that, The device includes: a signal acquisition unit for acquiring vibration signals and sound signals during the operation of the differential; a vehicle speed range determination unit for determining the vehicle speed range when there are abnormal noise characteristics based on the sound signals; a frequency range determination unit for determining the frequency range with abnormal vibration characteristics based on the vibration signals, determining the energy of the frequency range, and the frequency in the frequency range being the vibration frequency of the differential; an identification result determination unit for determining the abnormal noise identification result of the differential according to a first corresponding relationship between a preset vehicle speed range and a score, and a second corresponding relationship between the energy of the frequency range and a score, in combination with the determined vehicle speed range and the energy of the determined frequency range. The first corresponding relationship is that the rotational speed in the vehicle speed range is positively correlated with the score corresponding to the vehicle speed range; the second corresponding relationship is that the energy of the frequency range is negatively correlated with the score of the frequency range.

10. A vehicle, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

11. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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