CN107655708A - A kind of method and system for identifying tire cavity mode - Google Patents
A kind of method and system for identifying tire cavity mode Download PDFInfo
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- CN107655708A CN107655708A CN201610592971.9A CN201610592971A CN107655708A CN 107655708 A CN107655708 A CN 107655708A CN 201610592971 A CN201610592971 A CN 201610592971A CN 107655708 A CN107655708 A CN 107655708A
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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
- G01M17/02—Tyres
- G01M17/025—Tyres using infrasonic, sonic or ultrasonic vibrations
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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
- G01M7/00—Vibration-testing of structures; Shock-testing of structures
- G01M7/02—Vibration-testing by means of a shake table
- G01M7/025—Measuring arrangements
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Abstract
This application discloses a kind of method and system for identifying tire cavity mode.This method includes：First distributed data of the acoustic pressure to frequency of vehicle traveling noise is determined under default test condition；Change the medium being filled with the tire of vehicle, and first distributed data of the acoustic pressure to frequency of vehicle traveling noise is determined under identical default test condition；According to the cavity mode of the first distributed data and the second distributed data identification tire.A kind of method of the identification tire cavity mode provided using the embodiment of the present application, under identical testing conditions, when testing in the tire of vehicle respectively filled with two kinds of different media of density, two group distributed datas of the acoustic pressure to frequency of noise are produced during traveling, and according to the cavity mode of this two groups of distributed data identification tires.The method for identifying tire cavity mode by establishing data model compared to prior art, the application identify the cavity mode of tire by actual test, improve the accuracy rate of identification cavity mode.
Description
Technical field
The application is related to Vehicular vibration technical field of measurement and test, more particularly to a kind of method for identifying tire cavity mode and is
System.
Background technology
At present, being reduced as far as vehicle, caused road is made an uproar in the process of moving, is most important of vehicle manufacture field
One of business, because the generation that vehicle road is made an uproar can bring the discomfort on the bodies such as headache, tinnitus to user, directly affects user's body
Test.
The reason for causing road to be made an uproar has a lot, for example, vibration of the vibration of vehicle window, roof and each part of underbody, etc., its
In, cavity mode is that vehicle road is made an uproar caused one of the main reasons.The specific generation process of cavity mode is：In vehicle traveling
During, because wheel tire constantly rolls, vibrates, cause the air in wheel tire also to vibrate therewith, and in certain sound
Standing wave is formed in voice frequency, and then produces noise, is referred to as noise of air because air standing wave produces noise by this here, also referred to as
For cavity mode.
The cavity mode of improvement tire can efficiently reduce vehicle road and make an uproar, but, it is necessary to accurate before cavity mode is improved
Really identify cavity mode.Prior art identifies that the common method of tire cavity mode is：The number emulated by establishing vehicle
Model is learned, parameter is input in the mathematical modeling, and carries out simulation calculating, finally identifies the cavity mode of tire.
Above-mentioned prior art, during tire cavity mode is identified by founding mathematical models, simulated automotive is expert at
The situation that noise is produced in journey is crossed, and the situation for producing noise during vehicle actual travel has deviation, so, causes to identify
The accuracy rate of tire cavity mode is not high.
The content of the invention
The embodiment of the present application provides a kind of method and system for identifying tire cavity mode, passes through for solving prior art
When the mode of founding mathematical models identifies the cavity mode of tire, the problem of recognition accuracy is relatively low.
This application provides a kind of method for identifying tire cavity mode, this method includes：
First distributed data of the acoustic pressure to frequency of vehicle traveling noise is determined under default test condition；
Change the medium being filled with the tire of the vehicle, and the vehicle traveling is determined under identical default test condition
Second distributed data of the acoustic pressure of noise to frequency；
According to the cavity mode of first distributed data and second distributed data identification tire.
Preferably, the evacuated mould that tire is identified according to first distributed data and second distributed data
State, specifically include：
First distributed data and the second distributed data are contrasted, judges the change of noise acoustic pressure corresponding to identical frequency noise
Change, if with being filled with the variable density of medium in the tire of the vehicle into positive correlation；
If it is, according to the identical frequency noise, the cavity mode of tire is identified.
Preferably, according to the identical frequency noise, the cavity mode of tire is identified, including：
Calculate sound pressure variations of second distributed data relative to first distributed data under identical frequency noise
Value；
The frequency noise according to corresponding to sound pressure variations value is less than or equal to predetermined threshold value, identify the cavity mode of tire.
Preferably, the evacuated mould that tire is identified according to first distributed data and second distributed data
State, specifically include：
According to first distributed data and the second distributed data, the first acoustic pressure corresponding to first distributed data is drawn
To the curve map of frequency, and the second acoustic pressure corresponding to second distributed data is drawn to the curve map of frequency；
Curve map according to first acoustic pressure to the curve map of frequency and the second acoustic pressure to frequency, identify the cavity of tire
Mode.
Preferably, the medium being filled with the tire of the vehicle is air or rare gas.
Preferably, the rare gas is helium.
Preferably, the default test condition includes：
The preset travel speed of the vehicle, predetermined acceleration, default testing time, default testing location and/or default
Running environment.
Preferably, the preset travel environment includes：
Noise acoustic pressure and/or running environment in the flatness of track, the roughness of track, running environment
Wind speed.
Correspondingly, present invention also provides a kind of system for identifying tire cavity mode, the system to include：
First test equipment, the second test equipment and server, wherein：
First test equipment, determine the acoustic pressure of vehicle traveling noise to first point of frequency under default test condition
Cloth data；
Second test equipment, change the medium being filled with the tire of the vehicle, and in identical default test condition
Second distributed data of the lower acoustic pressure for determining the vehicle traveling noise to frequency；
The server, the evacuated mould of tire is identified according to first distributed data and second distributed data
State.
Preferably, the server identifies the sky of tire according to first distributed data and second distributed data
Chamber mode, is specifically included：
First distributed data and the second distributed data are contrasted, judges the change of noise acoustic pressure corresponding to identical frequency noise
Change, if with being filled with the variable density of medium in the tire of the vehicle into positive correlation；
If it is, according to the identical frequency noise, the cavity mode of tire is identified.
Preferably, the server identifies the cavity mode of tire according to the identical frequency noise, including：
Calculate sound pressure variations of second distributed data relative to first distributed data under identical frequency noise
Value；
The frequency noise according to corresponding to sound pressure variations value is less than or equal to predetermined threshold value, identify the cavity mode of tire.
Preferably, the server identifies the sky of tire according to first distributed data and second distributed data
Chamber mode, is specifically included：
According to first distributed data and the second distributed data, the first sound corresponding to first distributed data is drawn
The curve map to frequency is pressed, and draws the second acoustic pressure corresponding to second distributed data to the curve map of frequency；
Curve map according to first acoustic pressure to the curve map of frequency and the second acoustic pressure to frequency, identify the cavity of tire
Mode.
Preferably, first test equipment and the second test equipment are noise transducer.
A kind of method of the identification tire cavity mode provided using the embodiment of the present application, under identical testing conditions,
The acoustic pressure of noise is produced when testing in the tire of vehicle respectively filled with two kinds of different media of density, during traveling to frequency
Two groups of distributed datas, and according to the cavity mode of this two groups of distributed datas identification tire.Pass through foundation compared to prior art
The method that data model identifies tire cavity mode, the application are identified the cavity mode of tire by the method for actual test, carried
The high accuracy rate of identification cavity mode.
Brief description of the drawings
, below will be to embodiment or existing in order to illustrate more clearly of the embodiment of the present application or technical scheme of the prior art
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are this Shens
Some embodiments please, for those of ordinary skill in the art, on the premise of not paying creative work, can be with root
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of the method for identification tire cavity mode that the embodiment of the present application provides；
Fig. 2 is acoustic pressure the showing to the distributed data of frequency that a kind of test vehicle that the embodiment of the present application provides travels noise
It is intended to；
Fig. 3 is acoustic pressure the showing to the distributed data of frequency that a kind of test vehicle that the embodiment of the present application provides travels noise
It is intended to；
Fig. 4 is the schematic diagram that noise-spectrum curve is tested in a kind of analysis that the embodiment of the present application provides；
Fig. 5 is the schematic diagram that noise-spectrum curve is tested in a kind of analysis that the embodiment of the present application provides；
Fig. 6 is a kind of schematic flow sheet of the method for identification tire cavity mode that the embodiment of the present application provides；
Fig. 7 is a kind of noise-spectrum curve schematic diagram of prior art test；
Fig. 8 is a kind of structural representation of the system for identification tire cavity mode that the embodiment of the present application provides.
Embodiment
To make the purpose, technical scheme and advantage of the application clearer, below in conjunction with the application specific embodiment and
Technical scheme is clearly and completely described corresponding accompanying drawing.Obviously, described embodiment is only the application one
Section Example, rather than whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing
Go out under the premise of creative work all other embodiment obtained, belong to the scope of the application protection.
Below in conjunction with accompanying drawing, the technical scheme that each embodiment of the application provides is described in detail.
This application provides a kind of method for identifying tire cavity mode, for solving prior art by establishing mathematical modulo
When the mode of type identifies the cavity mode of tire, the problem of recognition accuracy is relatively low.The idiographic flow schematic diagram of this method
As shown in figure 1, specifically include following steps：
Step 11：First distributed data of the acoustic pressure to frequency of vehicle traveling noise is determined under default test condition.
Step 12：Change the medium being filled with the tire of the vehicle, and under identical default test condition described in determination
Second distributed data of the acoustic pressure of vehicle traveling noise to frequency.
In actual applications, sound is mainly represented by two attribute characterization sound, respectively acoustic pressure and frequency, acoustic pressure
Size, the frequency of frequency representation acoustical vibration.Therefore, the acoustic pressure of caused noise during being travelled by collection vehicle
And frequency, to characterize the noise in vehicle travel process.
In step 11 and step 12, first medium first is filled with the tire of vehicle to be measured, under default test condition,
Test first distributed data of the acoustic pressure to frequency that the vehicle produces noise in motion.
Then, change the medium being filled with the tire of the vehicle, second medium is changed into from first medium, and in same test
Under the conditions of, test second distributed data of the acoustic pressure to frequency that the vehicle produces noise in motion.
Here the density of first medium and second medium differs, for example, the first medium can be conventional air, the
Second medium can be rare gas, etc..
It is identical in order to motivate when producing the acoustic pressure of noise to the distributed data of frequency when measuring vehicle traveling twice
Each mode, it is ensured that the condition tested twice is identical, i.e., the test data under identical default test condition.
Here presetting at test condition includes：The air pressure of first medium and second medium is filled with the tire of vehicle to be measured, is treated
The preset travel speed of measuring car, predetermined acceleration, testing time, default testing location and/or preset travel environment are preset, etc.
Deng.
Running environment specifically includes：In test, the flatness of vehicle running surface, the roughness of track, traveling
Wind speed of noise acoustic pressure and/or running environment in environment, etc..
" vehicle " described in the application, can be automobile, motorcycle and some other motor vehicle etc..For automobile
Speech, which can be new energy (electric energy, solar energy etc.), as the automobile or gasoline of dynamical system, diesel oil etc. is used as power
The automobile of system, restriction is not made to the type of automobile dynamic system here, in addition, described automobile can be unmanned
(or being automatic Pilot) automobile or pilot steering automobile, and for the vehicle of automobile, can be car,
SUV or lorry etc., are not also limited this here.
Step 13：According to the cavity mode of first distributed data and second distributed data identification tire.
After the first distributed data and the second distributed data is obtained, according to this two groups of distributed datas, the sky of tire is identified
Chamber mode.
In this step, identify that the method for tire cavity mode there are many kinds, for example, obtaining the first distributed data and the
After two distributed datas, the first distributed data and the second distributed data are contrasted, judges noise acoustic pressure corresponding to identical frequency noise
Change, if the Media density for being changed into second medium with first medium is changing into positive correlation, that is to say, that judges that identical is made an uproar
Noise acoustic pressure corresponding to voice frequency, if increase with the increase for the Media density being filled with the tire of vehicle, or with car
Tire in the reduction of Media density that is filled with and reduce.
If the change of noise acoustic pressure corresponding to identical frequency noise, it is changed into the Media density of second medium with first medium
Positive correlation is changing into, then the cavity mode of tire is identified according to the identical frequency noise.
Above three step is described in detail below：
Foregoing teachings are it has been noted that the first medium and the density of second medium being filled with step 11 and step 12 not phase
Together, first medium can be conventional air, and second medium can be rare gas, etc., here not to first medium and
Second medium makees specific limit.But in general, technical staff is concerned with cavity mode of the tire when being filled with air, therefore
Preferably at least a kind of medium is air.
The above-mentioned medium being filled with the tire of vehicle selects the reason for rare gas to be：The chemical property of rare gas compares
Stable, when vehicle is during traveling, during wheel fetal hair is given birth to and rolls and vibrate, rare gas is less likely to occur quick-fried
It is fried to wait chemical reaction.
Here rare gas can use helium, because helium is generally easier to obtain, and cost is cheap, heavier
What is wanted is：For density of the density of helium compared to conventional air, difference is larger, so, by corresponding to two media
Distributed data compares, and can relatively easily identify cavity mode.
It should be noted that：Here " first " and " second " in " first medium " and " second medium ", is not sequence
Number, but for distinguishing two kinds of different media.Therefore, above-mentioned " first medium " can be rare gas, " second medium "
It can be air, etc..
In foregoing teachings it has been noted that step 11 and step 12 are when measuring the first distributed data and the second distributed data,
Noise acoustic pressure corresponding to the identical frequency measured twice to reduce other factorses to cause changes, when also avoiding analyze data
Disturb, test twice will be carried out in the case where identical presets test condition.For example, ensure the speed phase of vehicle when testing twice
Ensure that the running environment of vehicle is identical when testing together, or twice, then or ensure speed, the acceleration of vehicle when testing twice
With running environment all same, etc..
In actual test, in order to improve the accuracy of identification tire cavity mode, when ensureing to test twice as much as possible
Many-sided condition of vehicle is identical, for example, when testing twice, be filled with the tire of vehicle the air pressure of medium, preset travel speed,
Predetermined acceleration and preset travel environment all same.
Above-mentioned " identical default test condition ", generally includes two following situations：
The first situation, the driving conditions (speed or acceleration etc.) of vehicle are not all phases all the time when testing twice
Together, but as long as ensureing identical in the moment tested twice, the driving conditions of vehicle.
Second case, the driving conditions of vehicle are kept all the time all identical when measuring twice, so, can be identical
Preset time or identical preset location test data.
It is described in detail below for above-mentioned second case：
If vehicle is maintained at identical driving conditions downward driving during being tested two, but if vehicle traveling accelerates
When degree is not 0, that is to say, that what vehicle was done during test is variable motion, the speed of vehicle when being tested for guarantee two
It is identical, it can measure the acoustic pressure for producing noise when vehicle traveling in the default testing time to the first distributed data of frequency, then exist
Identical presets the testing time, and second distributed data of the acoustic pressure to frequency of noise is produced when measuring vehicle traveling.
Illustrate the situation of the test below by instantiation：
As shown in Fig. 2 after the first medium of nominal pressure is filled with the tire of vehicle, travelled on the AB of road surface, it is assumed that
Since vehicle in A when timing, when vehicle has travelled time t, measure the vehicle traveling when produce noise acoustic pressure to frequency
First distributed data of rate；After the second medium of same nominal air pressure is filled with the tire of vehicle, equally also on the AB of road surface
Traveling, the timing since vehicle is in A, when vehicle has travelled time t, the acoustic pressure pair of noise is produced when measuring vehicle traveling
Second distributed data of frequency.
It is above-mentioned to travel distributed data of the acoustic pressure to frequency of noise in identical preset time, test vehicle, it is ensured that
The speed of vehicle is identical when testing twice.Ensureing the reason for car speed is identical during test twice is：The travel speed meeting of vehicle
For the noise acoustic pressure for influenceing to measure to the distributed data of frequency, the speed of vehicle is identical when ensureing to test twice, can exclude to test
When due to car speed it is different, there is the possibility of error in the data for causing to measure, and then improve identification tire cavity mode
Accuracy.
Test process as shown in Figure 2, in theory, if the vehicle twice test during, if without it
Its too big factor for influenceing car speed is present, and ensures that the driving conditions of the vehicle all the time are identical, then by identical
After time t, two cars should be located at road surface AB same position, but in practical operation, still can have an impact car speed because
Element is present, for example, track is not very smooth, or wind speed during measurement twice in environment is different, may all cause vehicle
After elapsed time t, there is deviation in the position reached twice.
Therefore, the method for testing, can be more accurate when vehicle travel conditions are identical, vehicle running surface is opposed flattened
Ground produces distributed data of the acoustic pressure to frequency of noise when measuring vehicle traveling.Because when test pavement is more smooth, influence
The relatively large factor of test result is the speed of vehicle, and measures data in identical preset time, ensure that car speed
Uniformity, so test result is more accurate.
If vehicle is in test process twice, same to ensure that driving conditions are identical, but when testing vehicle track
Flatness and/or roughness when changing, such as test pavement is uneven, at this moment can be surveyed in default testing location
The acoustic pressure for producing noise during pick-up traveling then presets testing location in identical, measures this to the first distributed data of frequency
Second distributed data of the acoustic pressure to frequency of noise is produced when vehicle travels.
Illustrate the situation of the test below by instantiation：
As shown in figure 3, after the first medium of nominal pressure is filled with the tire of vehicle, travelled on the AB of road surface, vehicle
Certain speed (initial velocity), when reaching road surface AB centre position S, produces from A ground when measuring vehicle traveling
First distributed data of the acoustic pressure of noise to frequency；After the second medium of same nominal air pressure is filled with the tire of vehicle, together
Sample is also travelled on the AB of road surface, and vehicle, from A ground, when reaching road surface AB centre position S, is surveyed with identical initial velocity
The vehicle is taken to produce second distributed data of the acoustic pressure to frequency of noise when travelling.
The method of testing is identical in vehicle travel conditions, but when track out-of-flatness or roughness vary widely,
Distributed data of the acoustic pressure to frequency of noise is produced when can relatively accurately measure vehicle traveling.It is because uneven in test pavement
When whole or roughness varies widely, influence the relatively large factor of test result be vehicle running surface flatness and/
Or roughness, and measure data in identical preset location, ensure that vehicle running surface flatness and/or roughness one
Cause property, so test result is more accurate.
In step 13, the acoustic pressure of noise is produced to the first distributed data of frequency and second point when obtaining vehicle traveling
After cloth data, the cavity mode of tire is identified for convenience, and the acoustic pressure of noise is produced to frequency when obtaining vehicle traveling
After distributed data, curve map (noise-spectrum curve figure) of the acoustic pressure to frequency can be drawn out according to the distributed data, according to this
Acoustic pressure can more intuitively identify cavity mode to the curve map of frequency.
The specific method of above-mentioned identification tire cavity mode is：Same frequency is found out in curve map from two acoustic pressures to frequency
Peak value corresponding to curve peak corresponding to rate, if the Media density for being changed into second medium with first medium is changing into positive correlation, such as
It is exactly then the cavity mode of tire corresponding to the identical frequency that fruit, which is,.
In order to clearly demonstrate the application, illustrate below by specific example it is above-mentioned according to two acoustic pressures to frequency
Curve map identifies the process of tire cavity mode：
It is illustrated in figure 4 the curve map that the acoustic pressure of air and helium is filled with the tire of vehicle to frequency, the horizontal stroke in curve
Coordinate representation is frequency noise f, and unit HZ, that ordinate represents is noise acoustic pressure n, unit dB；Solid line is to be somebody's turn to do in figure
Curve map of the first acoustic pressure corresponding to nominal pressure air to frequency is filled with the tire of vehicle, dotted line is the tire of the vehicle
In be filled with curve map of the second acoustic pressure corresponding to same pressure helium to frequency.
When frequency noise is about 210HZ, the peak difference of the curve peak (A1, A2) of corresponding two curve is away from larger, sky
The density of the density ratio helium of gas is big, then the peak value of corresponding curve peak A1 during air is filled with the tire of vehicle, than being filled with helium
Corresponding curve peak A2 peak value is big during gas, that is to say, that when frequency noise is about 210HZ, peak value corresponding to two curves
With the density of air and helium into positive correlation, then it is that curve peak corresponding to 210HZ is bent corresponding to cavity mode to identify frequency
Line peak, that is, identify cavity mode.
As shown in Figure 4, the position of significant change occurs for peak value corresponding to the curve peak in two curves, not only frequency
Curve peak corresponding to 210HZ, when frequency is 300~210HZ, the peak differences of two curve peaks (B1, B2) away from also relatively large, but
It is the peak value that corresponding curve peak B1 during air is filled with the tire of vehicle, corresponding curve peak B2 peak during than being filled with helium
It is worth small, i.e., the density of peak value and air and helium is not into positive correlation corresponding to two curves, moreover, noise frequency corresponding to two curve peaks
Rate also has larger difference.Therefore, peak of curve changes the vehicle for being probably medium caused by air is changed into helium here
The generation of one new mode, rather than caused by the cavity mode of tire.Therefore, each corresponding different shown in Fig. 4
In the peak value of frequency, can recognize that corresponding to 210Hz be tire cavity mode, and peak value is because of vehicle corresponding to other frequencies
The vibration characteristics at other positions do not change and peak change will not be produced substantially.
It is air that Fig. 4, which show first medium, noise-spectrum curve when second medium is helium, it is assumed that first medium
(air) is main study subject, then second medium (helium) is support study dies object, and the density ratio air of helium is small here.
But in actual applications, if will first medium air as main study subject, then, the density of second medium also may be used
With bigger than air, that is to say, that as long as the density of two media is variant, and in certain scope, difference is bigger,
More contribute to identify curve peak corresponding to cavity mode.
As shown in fig. 5, it is assumed that dotted line is to be filled with corresponding first acoustic pressure pair during same pressure air in the tire of the vehicle
The curve map of frequency, solid line is is filled with during nominal pressure argon gas corresponding second acoustic pressure to the curve of frequency in the tire of the vehicle
Figure, is found by comparative analysis：When frequency noise is 210HZ, the peak value of curve peak corresponding to argon gas is more than corresponding to air
The peak value of curve peak, because the density of argon gas is more than air, therefore, frequency is that curve peak corresponding to 210HZ is cavity mode pair
The curve peak answered.
Fig. 4 and Fig. 5 simply understand this programme for convenience, to identifying that the process of tire cavity mode carries out exemplary say
Bright, the acoustic pressure that actual measurement obtains likely differs from the curve shape in Fig. 4 and Fig. 5, evacuated mould to the shape of the curve of frequency
Frequency noise corresponding to state may be also different from frequency noise corresponding to cavity mode in Fig. 4 and Fig. 5, with specific reference to actual test
As a result depending on.
In addition, as Fig. 4 or Fig. 5 it can be found that as long as noise-spectrum curve corresponding to two media is obtained, by manually knowing
Curve peak corresponding to evacuated mould state is can determine that otherwise, but efficiency is not very high to the mode of manual identified sometimes.
The application is directed to the problem, there is provided a kind of method of Computer Automatic Recognition.Specifically, computer is taken turns in identification
Before the cavity mode of tire, a predetermined threshold value is set up, when computer determines the change of noise acoustic pressure corresponding to identical frequency noise
Change, with first medium be changed into second medium Media density be changing into positive correlation and then calculate the second distributed data relative to
The sound pressure variations value of first distributed data at different frequencies, the frequency according to corresponding to sound pressure variations value is less than or equal to predetermined threshold value
Rate, identify the cavity mode of tire, that is to say, that if the noise acoustic pressure difference is less than or equal to the predetermined threshold value, identify
Noise corresponding to going out the identical frequency noise is caused by cavity mode, that is, identifies cavity mode.
Method for distinguishing is known using computer, can further improve the efficiency of identification tire cavity mode, meanwhile, also may be used
The interference of subjective factor during reducing manual identified.
Certainly, in addition to the distributed data measured twice is depicted as into noise-spectrum curve figure, there are many processing point
The method of cloth data, user is helped intuitively to identify cavity mode, for example, form can be made in measure two groups of data,
Here this is not especially limited.
In order to clearly demonstrate the application, the identification tire provided below by complete example the embodiment of the present application is empty
The method of chamber mode illustrates, specific as follows：
Step S61：Under default test condition, the vehicle is tested out using test equipment (for example, sensor noise)
Caused noise data, the noise data include：Noise acoustic pressure and testing time corresponding to the frequency of noise, frequency noise, etc.
Deng.
In this step, it is necessary to twice, i.e., test equipment is tested：Test out in the tire of vehicle and be filled with first medium respectively
With distributed data of the acoustic pressure to frequency that noise is travelled during second medium.
Step S62：Test data is sent to computer by test equipment.
Step S63：Computer draws curve map of the acoustic pressure to frequency according to test data.
Step S64：Curve map of the user according to acoustic pressure to frequency, identify the cavity mode of tire.
Step S65：Curve of the computer according to acoustic pressure to frequency, or directly according to test data, identify the cavity of tire
Mode.
Step S64 and step S65 is two steps arranged side by side, is two kinds of identification tire cavity mode that the application provides
Method, a kind of is the method for manual identified cavity mode, and another kind is the method for Computer Automatic Recognition cavity mode, specific to know
Other method illustrates in foregoing teachings, to avoid repeating, just repeats no more here.
A kind of method of the identification tire cavity mode provided using the embodiment of the present application, under identical testing conditions,
The acoustic pressure of noise is produced when testing in the tire of vehicle respectively filled with two kinds of different media of density, during traveling to frequency
Two groups of distributed datas, and according to the cavity mode of this two groups of distributed datas identification tire.Pass through foundation compared to prior art
The method that data model identifies tire cavity mode, the application are identified the cavity mode of tire by the method for actual test, carried
The high accuracy rate of identification cavity mode.
In addition, the method for tire cavity mode is identified at present, except that is mentioned in background technology passes through founding mathematical models
Method beyond, conventional recognition methods also include it is following two：
The first, using sensor noise and logger, measures vehicle caused noise data, and root in the process of moving
According to the data draw out noise acoustic pressure with frequency noise change curve (i.e.：Noise-spectrum curve)；Then, to the noise-frequency
Spectral curve is analyzed, and from multiple curve peaks in curve, identifies cavity mode.
But when measuring vehicle caused noise data in the process of moving, except the cavity mode of tire can produce
Beyond raw noise, also many other the reason for producing noise, for example, the vibration of glass caused by blowing, can also be vehicle
Friction, vibration between each part, etc., therefore, from the noise-spectrum curve drawn according to these noise datas, user
None- identified goes out the cavity mode of tire.
As shown in fig. 7, when being filled with air in the tire in vehicle, include curve in the noise-spectrum curve measured
Peak A, B, C, D, E, F, each curve peak correspond to one or more noise sources, and user can not be from more in the noise-spectrum curve
In individual curve peak, the cavity mode of tire is identified.
Second, individually noise caused by the tire of vehicle is measured, specifically, to each of the tire filled with air
Individual position is tapped, and obtains induced signal, then the signal data input computer of acquisition is calculated, and is finally tapped
During noise caused by tire frequency, and relevant data of noise acoustic pressure corresponding to frequency.Pass through the side of this percussion
Formula, to replace situation of the vehicle in actual road traveling, it is clear that the noise-spectrum curve measured also has with actual conditions
Deviation.
The application by during actual travel, measuring the corresponding distributed data under two media, and according to this two
Group distributed data identifies cavity mode, utilizes one group of distributed data compared to above-mentioned, or identify tire using mode is tapped
Cavity mode, it is clear that the application provide recognition methods it is more efficient, accurate.
It is noted that new energy vehicle is because have the discharge amount of exhaust gas for reducing vehicle, and can reduce at present
The advantages that consumption of petroleum-based energy, by the extensive concern in the external world.Although new energy vehicle is compared to traditional vehicle, dynamical system
The NVH (Noise, Vibration, Harshness) that unites is reduced, but road is made an uproar, NVH proportion but rises.Therefore, the application carries
The method of the identification tire cavity mode of confession can also make an uproar for the road of reduction new-energy automobile and contribute.
Correspondingly, present invention also provides a kind of system for identifying tire cavity mode, it is equally used for solving prior art
In caused noise-spectrum curve in analyzing vehicle travel process, the problem of None- identified goes out cavity mode.The tool of the system
Body structure is as shown in figure 8, specifically include：
First test equipment 81, the second test equipment 82 and server 83, wherein：
First test equipment 81, determine the acoustic pressure of vehicle traveling noise to the of frequency under default test condition
One distributed data；
Second test equipment 82, after the medium being filled with the tire for changing the vehicle, and in identical default survey
Second distributed data of the acoustic pressure to frequency of the vehicle traveling noise is determined under the conditions of examination；
The server 83, the evacuated mould of tire is identified according to first distributed data and second distributed data
State.
The workflow of said system embodiment is：First, the first test equipment 81 determines car under default test condition
The acoustic pressure of traveling noise is to the first distributed data of frequency, secondly, changes the medium being filled with the tire of the vehicle, and second
Test equipment 82 determines second distributed data of the acoustic pressure to frequency of vehicle traveling noise under identical default test condition, most
Afterwards, server 83 identifies the cavity mode of tire according to the first distributed data and the second distributed data.
Wherein, the first test equipment 81 and the second test equipment 82, may be physically two sets of different test equipments,
Or it can also be same set of test equipment.Specifically, can be that same set of test equipment has measured the first distributed data and
Two distributed datas, or can be that two sets of different test equipments have measured the first distributed data and the second distributed data respectively,
Here it is not especially limited.
The system embodiment realizes that the mode of identification tire cavity mode has many kinds, for example, in one embodiment,
The server 83 contrasts first distributed data and the second distributed data, identifies cavity mode, specifically includes：
First distributed data and the second distributed data are contrasted, judges the change of noise acoustic pressure corresponding to identical frequency noise
Change, if with being filled with the variable density of medium in the tire of the vehicle into positive correlation；
If it is, according to the identical frequency noise, the cavity mode of tire is identified.
In another embodiment, the server 83 identifies the evacuated mould of tire according to the identical frequency noise
State, including：
Calculate sound pressure variations of second distributed data relative to first distributed data under identical frequency noise
Value；
The frequency noise according to corresponding to sound pressure variations value is less than or equal to predetermined threshold value, identify the cavity mode of tire.
In another embodiment, the server 83 is according to first distributed data and second distribution number
According to the cavity mode of identification tire, specifically include：
According to first distributed data and the second distributed data, the first acoustic pressure corresponding to first distributed data is drawn
To the curve map of frequency, and the second acoustic pressure corresponding to second distributed data is drawn to the curve map of frequency；
Curve map according to first acoustic pressure to the curve map of frequency and the second acoustic pressure to frequency, identify the cavity of tire
Mode.
In another embodiment, the test equipment 82 of the first test equipment 81 and second is noise transducer.
The beneficial effect that the system embodiment provided using the application is obtained, obtained with application preceding method embodiment
Beneficial effect is same or like, to avoid repeating, repeats no more here.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, the application can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the application can use the computer for wherein including computer usable program code in one or more
The computer program production that usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to the flow according to the method for the embodiment of the present application, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processors of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net
Network interface and internal memory.
Internal memory may include computer-readable medium in volatile memory, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only storage (ROM) or flash memory (flash RAM).Internal memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer-readable instruction, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moved
State random access memory (DRAM), other kinds of random access memory (RAM), read-only storage (ROM), electric erasable
Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read-only storage (CD-ROM),
Digital versatile disc (DVD) or other optical storages, magnetic cassette tape, the storage of tape magnetic rigid disk or other magnetic storage apparatus
Or any other non-transmission medium, the information that can be accessed by a computing device available for storage.Define, calculate according to herein
Machine computer-readable recording medium does not include temporary computer readable media (transitory media), such as data-signal and carrier wave of modulation.
It should also be noted that, term " comprising ", "comprising" or its any other variant are intended to nonexcludability
Comprising so that process, method, commodity or equipment including a series of elements not only include those key elements, but also wrapping
Include the other element being not expressly set out, or also include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including key element
Other identical element in process, method, commodity or equipment also be present.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or computer program product.
Therefore, the application can be using the embodiment in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Form.Deposited moreover, the application can use to can use in one or more computers for wherein including computer usable program code
The shape for the computer program product that storage media is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
Embodiments herein is these are only, is not limited to the application.To those skilled in the art,
The application can have various modifications and variations.All any modifications made within spirit herein and principle, equivalent substitution,
Improve etc., it should be included within the scope of claims hereof.
Claims (13)
- A kind of 1. method for identifying tire cavity mode, it is characterised in that this method includes：First distributed data of the acoustic pressure to frequency of vehicle traveling noise is determined under default test condition；Change the medium being filled with the tire of the vehicle, and the vehicle traveling noise is determined under identical default test condition Acoustic pressure to the second distributed data of frequency；According to the cavity mode of first distributed data and second distributed data identification tire.
- 2. according to the method for claim 1, it is characterised in that described according to first distributed data and described second Distributed data identifies the cavity mode of tire, specifically includes：First distributed data and the second distributed data are contrasted, judges the change of noise acoustic pressure corresponding to identical frequency noise, Whether with being filled with the variable density of medium in the tire of the vehicle into positive correlation；If it is, according to the identical frequency noise, the cavity mode of tire is identified.
- 3. according to the method for claim 2, it is characterised in that according to the identical frequency noise, identify the cavity of tire Mode, including：Calculate sound pressure variations value of second distributed data relative to first distributed data under identical frequency noise；The frequency noise according to corresponding to sound pressure variations value is less than or equal to predetermined threshold value, identify the cavity mode of tire.
- 4. according to any described method of claims 1 to 3, it is characterised in that it is described according to first distributed data and The cavity mode of the second distributed data identification tire, is specifically included：According to first distributed data and the second distributed data, the first acoustic pressure corresponding to first distributed data is drawn to frequency The curve map of rate, and the second acoustic pressure corresponding to second distributed data is drawn to the curve map of frequency；Curve map according to first acoustic pressure to the curve map of frequency and the second acoustic pressure to frequency, identify the evacuated mould of tire State.
- 5. according to the method for claim 1, it is characterised in that the medium being filled with the tire of the vehicle is air or dilute There is gas.
- 6. according to the method for claim 5, it is characterised in that the rare gas is helium.
- 7. according to the method for claim 1, it is characterised in that the default test condition includes：The air pressure of medium, preset travel speed, predetermined acceleration, the default testing time, default is filled with the tire of the vehicle Testing location and/or preset travel environment.
- 8. according to the method for claim 7, it is characterised in that the preset travel environment includes：The wind of noise acoustic pressure and/or running environment in the flatness of track, the roughness of track, running environment Speed.
- 9. a kind of system for identifying tire cavity mode, it is characterised in that the system includes：First test equipment, the second test equipment and server, wherein：First test equipment, first distribution number of the acoustic pressure to frequency of vehicle traveling noise is determined under default test condition According to；Second test equipment, after the medium being filled with the tire for changing the vehicle, under identical default test condition Determine second distributed data of the acoustic pressure to frequency of the vehicle traveling noise；The server, the cavity mode of tire is identified according to first distributed data and second distributed data.
- 10. system according to claim 9, it is characterised in that the server according to first distributed data and The cavity mode of the second distributed data identification tire, is specifically included：First distributed data and the second distributed data are contrasted, judges the change of noise acoustic pressure corresponding to identical frequency noise, Whether with being filled with the variable density of medium in the tire of the vehicle into positive correlation；If it is, according to the identical frequency noise, the cavity mode of tire is identified.
- 11. system according to claim 10, it is characterised in that the server is known according to the identical frequency noise The cavity mode of other tire, including：Calculate sound pressure variations value of second distributed data relative to first distributed data under identical frequency noise；The frequency noise according to corresponding to sound pressure variations value is less than or equal to predetermined threshold value, identify the cavity mode of tire.
- 12. according to any described system of claim 9~11, it is characterised in that the server is according to the described first distribution The cavity mode of data and second distributed data identification tire, is specifically included：According to first distributed data and the second distributed data, the first acoustic pressure corresponding to first distributed data is drawn to frequency The curve map of rate, and the second acoustic pressure corresponding to second distributed data is drawn to the curve map of frequency；Curve map according to first acoustic pressure to the curve map of frequency and the second acoustic pressure to frequency, identify the evacuated mould of tire State.
- 13. according to the method for claim 9, it is characterised in that first test equipment and the second test equipment are Noise transducer.
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| CN201610592971.9A CN107655708A (en) | 2016-07-25 | 2016-07-25 | A kind of method and system for identifying tire cavity mode |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610592971.9A CN107655708A (en) | 2016-07-25 | 2016-07-25 | A kind of method and system for identifying tire cavity mode |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109307549A (en) * | 2018-07-23 | 2019-02-05 | 重庆长安新能源汽车科技有限公司 | The determination method, apparatus and automobile of the main transmission path of tire cavity sound |
| CN112067319A (en) * | 2020-08-24 | 2020-12-11 | 安徽江淮汽车集团股份有限公司 | Tire noise testing method, device, equipment and storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104553633A (en) * | 2014-12-12 | 2015-04-29 | 重庆长安汽车股份有限公司 | Pneumatic tire with noise reduction device |
-
2016
- 2016-07-25 CN CN201610592971.9A patent/CN107655708A/en not_active Withdrawn
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104553633A (en) * | 2014-12-12 | 2015-04-29 | 重庆长安汽车股份有限公司 | Pneumatic tire with noise reduction device |
Non-Patent Citations (1)
| Title |
|---|
| A.N.GENT等: "《轮胎理论与技术》", 31 October 2013, 清华大学出版社 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109307549A (en) * | 2018-07-23 | 2019-02-05 | 重庆长安新能源汽车科技有限公司 | The determination method, apparatus and automobile of the main transmission path of tire cavity sound |
| CN109307549B (en) * | 2018-07-23 | 2020-11-10 | 重庆长安新能源汽车科技有限公司 | Method and device for determining main transmission path of tire cavity sound and automobile |
| CN112067319A (en) * | 2020-08-24 | 2020-12-11 | 安徽江淮汽车集团股份有限公司 | Tire noise testing method, device, equipment and storage medium |
| CN112067319B (en) * | 2020-08-24 | 2021-09-28 | 安徽江淮汽车集团股份有限公司 | Tire noise testing method, device, equipment and storage medium |
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