CN114034490A - Method for rapidly identifying drive axle squeaking - Google Patents
Method for rapidly identifying drive axle squeaking Download PDFInfo
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- CN114034490A CN114034490A CN202111192161.1A CN202111192161A CN114034490A CN 114034490 A CN114034490 A CN 114034490A CN 202111192161 A CN202111192161 A CN 202111192161A CN 114034490 A CN114034490 A CN 114034490A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/02—Gearings; Transmission mechanisms
- G01M13/021—Gearings
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/02—Gearings; Transmission mechanisms
- G01M13/028—Acoustic or vibration analysis
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Abstract
A method for rapidly identifying the drive axle squeaking is mainly used for identifying the specific frequency of a rotating part in a drive axle, and comprises the following steps: s1, converting auditory to visual: collecting audio under a howling condition; extracting audio, and analyzing the audio into a frequency color chart; s2, inputting relevant parameters of the whole vehicle into software, calculating the gear frequency under the howling working condition, and drawing a graph; and S3, comparing the frequency color chart with the drawn graph, and judging whether the driving axle gear squeal exists or not. The noise generated by the drive axle is converted into the visual map, so that the sense of hearing is converted into the sense of vision, the problem of the drive axle howling is more intuitive, and the drive axle howling is further quickly identified.
Description
Technical Field
The invention relates to a drive axle squeaking identification method which is mainly used for identifying the specific frequency of a rotating part in a drive axle, converting noise generated by the drive axle into a visual map, converting auditory sense into visual sense and enabling the problem of the squeaking of the drive axle to be more visual.
Background
With the upgrading of the consumption market, the requirements of customers are higher and higher, and each vehicle enterprise pays particular attention to NVH. At present, each large host factory mainly adopts a microphone and a vibration sensor to collect squeal information of a driving axle of the whole automobile, and then commercial software is used for identifying and extracting relevant noise and frequency. In the aspect of subjective evaluation, due to the fact that the sensitivities of drivers to the drive axle howling are inconsistent, the evaluation scores of the drive axle howling are inconsistent, and quantitative indexes are urgently needed to be unified. Although commercial software is already mature, it is very expensive, and the host factory generally has only a few sets of resources, which are often not enough in the actual development process. Moreover, the existing commercial software generally needs to be applied for use, sensors are arranged, testing by professionals and the like, so that the time period of the whole process is long.
Therefore, a method for rapidly identifying the drive axle howling is explored, and the method has high commercial value and practical value.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for quickly identifying the drive axle howling.
The technical scheme adopted by the invention is as follows:
a method for rapidly identifying a drive axle howling comprises the following steps:
s1, converting auditory to visual: collecting audio under a howling condition; extracting audio, and analyzing the audio into a frequency color chart;
s2, inputting relevant parameters of the whole vehicle into software, calculating the gear frequency under the howling working condition, and drawing a graph;
and S3, comparing the frequency color chart with the drawn graph, and judging whether the driving axle gear squeal exists or not.
In the method for rapidly identifying the drive axle howling, in step S1, the process of extracting the audio and analyzing the audio into a frequency color chart is as follows: the audio is led into a computer, the audio data is read, and then the matlab software is used for writing a program to convert the audio data into a pure data file; reserving data of 1 channel, and deleting repeated data to obtain a final digitized audio; after the audio is digitized, Fourier transform is carried out on the audio data to obtain frequency domain data, and a frequency map is drawn by utilizing a color map function of matlab software, so that the sound is converted into a visual graph.
In the method for rapidly identifying the axle squeal, in step S2, the gear frequency under the squeal condition is calculated from the vehicle parameters:
v =2 × pi R (n/i)1/i2/i3/i4) 0.06 formula 1
Wherein V is the speed of the whole vehicle and the unit km/h; r is the tire radius, in m; n is the engine speed r/min; i.e. i1Is the speed ratio of the torque converter of the automatic gearbox, if not, is 1; i.e. i2The gear-changing speed ratio of the gearbox is 1 if the gear-changing speed ratio is not available; i.e. i3Is the transfer gear speed ratio, if not, is 1; i.e. i4Is the rear axle speed ratio, otherwise 1;
f=（n/i1/i2/i3/60）*z1formula 2
Wherein f is the frequency of the drive axle howling; z is a radical of1Is the number of teeth of the driving gear of the drive axle;
according to the speed V of the whole vehicle and the frequency f of the drive axle howling, a relation graph of V and f can be drawn.
If an acceleration howling exists in a certain speed range, recording the audio of the full-throttle acceleration working condition in the speed range in the audio recording process, and clearly analyzing the fluctuation of the frequency f1 by analyzing into a map without recording a speed segment outside the interval; in the step S3, the frequency f2 of the drive axle howling in the speed range is obtained through whole vehicle parameter calculation, and if the frequencies of f1 and f2 are the same, the drive axle howling is determined; not the same is not transaxle howling.
The invention has the beneficial effects that:
1. the method for rapidly identifying the drive axle howling has high commercial value and practical value. The microphone of the equipment such as a mobile phone can be used for replacing the microphone of the professional equipment, the audio under the howling working condition is collected, then the drive axle howling is identified through programming, and the pressure of the professional equipment is relieved. The existing commercial software generally needs to be applied for use, a sensor is arranged, a professional tests and the like, and the whole process time period is long.
2. The method for rapidly identifying the drive axle howling is mainly used for identifying the specific frequency of the howling in the drive axle, converting the noise generated by the drive axle into a visual map through quantization indexes, converting the auditory sense into the visual sense and enabling the problem of the howling of the drive axle to be more visual. The problem of inconsistent subjective driving scores is reduced.
3. The method for rapidly identifying the drive axle howling can be used for complaining of after-sales customers on the noise of the rear axle, accurately identifying whether the noise is the noise of the drive axle or not, and avoiding the problem that a company sends professionals and professional equipment to go to the identification.
Drawings
FIG. 1 is a general flow chart of a drive axle howling identification method of the present invention;
FIG. 2 illustrates the steps of the auditory-to-visual conversion process of the axle howling recognition method of the present invention;
FIG. 3 shows a howling frequency line of a certain car at 60-80 km/h;
FIG. 4 is a diagram of a rear axle acceleration and deceleration squeal frequency map for a pickup project;
fig. 5 shows frequency maps of fundamental frequency howling and high frequency howling of a drive bridge before a certain pickup project.
Detailed Description
In order to make the technical idea and advantages of the invention for achieving the object of the invention more clearly understood, the following describes the technical solution/howling recognition process of the invention in detail with reference to the accompanying drawings. It should be understood that the following examples are only for illustrating and explaining preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention as claimed in the claims.
Example 1
The general flow chart of the method for rapidly identifying the drive axle howling is shown in figure 1, and the method comprises the following steps:
s1, converting auditory to visual: collecting audio under a howling condition; extracting audio, and analyzing the audio into a frequency color chart;
s2, inputting relevant parameters of the whole vehicle into software, calculating the gear frequency under the howling working condition, and drawing a graph;
and S3, comparing the frequency color chart with the drawn graph, and judging whether the driving axle gear squeal exists or not.
As shown in fig. 2, in step S1, the recorded MP 3-formatted audio is imported into a computer, and then the matlab software program is used to convert the audio data into a pure data file; for the reason of recording equipment, the recorded data is often multiple channels, such as 2 channels or 4 channels, and only 1 channel of data needs to be reserved, 1 channel of data is reserved, and repeated data is deleted to obtain the final digitized audio; after the audio is digitized, the digitized audio can be converted into a frequency signal from a time domain signal by utilizing a Fourier transform function on matlab software and is stored; and performing Fourier transform on the audio data by using the stored frequency domain value and then using a color map function of matlab software to obtain frequency domain data, and finally drawing the frequency data into a color map/drawing a frequency map. Thereby converting the sound into a visual pattern.
In step S1, if there is an acceleration howling in a certain speed range, in the process of recording audio, recording the audio of the full throttle acceleration condition in the speed range, without recording the speed segment outside the interval, by analyzing into a map, the fluctuation of the frequency f1 can be clearly analyzed;
in the step S2, the frequency f2 of the drive axle howling in the speed range is obtained through whole vehicle parameter calculation, and if the frequencies of f1 and f2 are the same, the drive axle howling is determined; not the same is not transaxle howling.
As shown in FIG. 3, is a howling frequency line of a certain car of 60-80 km/h; in step S2, the vehicle speed V of the entire vehicle and the frequency f of the axle howling are plotted through the entire vehicle calculation, and it is found through calculation that the frequency of the axle howling is f2 when the vehicle speed V of the entire vehicle is 60KM/h-80KM/h, and the howling frequency in fig. 3 is 280-380 Hz.
By executing steps S1, S2, S3, the frequency f2 of a rear bridge and a front bridge of a pickup is analyzed as shown in fig. 4 and 5; the theoretical frequency f1 is calculated to be all matched, so that the drive axle howling is judged.
FIG. 4 shows that the rear axle of a pickup project accelerates and decelerates howling, the howling obviously exists near the f1 (500 Hz) acceleration and deceleration, and the howling is matched with the theoretical calculation f1, so that the howling of the rear axle gear can be identified.
FIG. 5 shows that for a pickup project, fundamental frequency howling and high frequency howling of the drive axle exist obviously near f1 (400 + 500 Hz) plus and minus, and howling also exists at f1 (3500 + 4500 Hz) which is 8 times the plus and minus frequency, and the calculated theoretical frequency f2 is matched to determine that the drive axle gear howling exists.
The method for rapidly identifying the drive axle howling can replace the microphone of the professional equipment with the microphone of the equipment such as a mobile phone and the like, and relieves the pressure of the professional equipment. And a sensor does not need to be arranged, a professional tests and the like, and the time period of the whole process is short. By means of the quantization indexes, noise generated by the drive axle is converted into a visual map, hearing is converted into vision, and the problem of drive axle squeaking is more visual. The problem of inconsistent subjective driving scores is reduced, and the method has high commercial value and practical value.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be construed as limiting the invention. Other modifications of the invention will occur to those skilled in the art without the benefit of this disclosure and it is intended to cover within the scope of the invention any modifications that fall within the spirit and scope of the invention or the equivalents thereof which may be substituted by one of ordinary skill in the art without departing from the scope of the invention.
Claims (4)
1. A method for rapidly identifying a drive axle howling is characterized by comprising the following steps: the method comprises the following steps:
s1, converting auditory to visual: collecting audio under a howling condition; extracting audio, and analyzing the audio into a frequency color chart;
s2, inputting relevant parameters of the whole vehicle into software, calculating the gear frequency under the howling working condition, and drawing a graph;
and S3, comparing the frequency color chart with the drawn graph, and judging whether the driving axle gear squeal exists or not.
2. The method for rapidly identifying drive axle howling according to claim 1, wherein: in step S1, the process of extracting audio and analyzing the audio into a frequency color map is as follows: the audio is led into a computer, the audio data is read, and then the matlab software is used for writing a program to convert the audio data into a pure data file; reserving data of 1 channel, and deleting repeated data to obtain a final digitized audio; after the audio is digitized, Fourier transform is carried out on the audio data to obtain frequency domain data, and a frequency map is drawn by utilizing a color map function of matlab software, so that the sound is converted into a visual graph.
3. Method for fast identification of drive axle howling according to claims 1 and 2, characterized in that: in step S2, the calculation formulas 1 and 2 for calculating the gear frequency under the howling condition from the vehicle parameters are as follows:
v =2 × pi R (n/i)1/i2/i3/i4) 0.06 formula 1
Wherein V is the speed of the whole vehicle and the unit km/h; r is the tire radius, in m; n is the engine speed r/min; i.e. i1Is the speed ratio of the torque converter of the automatic gearbox, if not, is 1; i.e. i2The gear-changing speed ratio of the gearbox is 1 if the gear-changing speed ratio is not available; i.e. i3Is the transfer gear speed ratio, if not, is 1; i.e. i4Is the rear axle speed ratio, otherwise 1;
f=（n/i1/i2/i3/60）*z1formula 2
Wherein f is the frequency of the drive axle howling; z is a radical of1Is the number of teeth of the driving gear of the drive axle;
and drawing a relation graph of the V and the f according to the vehicle speed V of the whole vehicle and the frequency f of the drive axle howling.
4. Method for fast identification of drive axle howling according to claims 1, 2 and 3, characterized in that: in step S2, if there is an acceleration howling in a certain speed range, in the process of recording audio, recording the audio of the full throttle acceleration condition in the speed range, without recording the speed segment outside the interval, by analyzing into a map, the fluctuation of the frequency f1 can be clearly analyzed; in the step S3, the frequency f2 of the drive axle howling in the speed range is obtained through whole vehicle parameter calculation, and if the frequencies of f1 and f2 are the same, the drive axle howling is determined; not the same is not transaxle howling.
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