Method and apparatus for evaluating degree of lateral vibration of tire

Abstract

This invention provides a method and device for assessing the degree of lateral vibration of a tire. The assessment method includes: collecting temperature field data of the tire, including: the temperature distribution area of ​​the tire, and data on the change of the tire's highest temperature over time; within a preset side slip angle threshold range of the tire, extracting two consecutive values ​​from the data on the change of the highest temperature over time. n 2 time-domain data points; for 2 n A quadratic polynomial fit was performed on the time-domain data points to obtain 2 n 1 fitted data point; 2 n 2 time-domain data points and 2 n Subtracting the fitted data points, we get 2. n 2 evaluation data points, based on 2 n This invention uses several evaluation data points to determine the time-domain evaluation index data of tire lateral vibration. The maximum amplitude and frequency of the tire lateral vibration are obtained from the time-domain evaluation index data to determine the degree of tire lateral vibration; where n is a positive integer. This invention solves the problem in the prior art that the degree of tire lateral vibration cannot be evaluated during the tire six-component force test.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of finished tire six-component force detection, in particular to a method for evaluating the lateral vibration degree of a tire and an evaluation device. BACKGROUND

[0002] Tests for evaluating the performance of finished tires mainly include indoor tests and outdoor tests, and the six-component force test of a tire is an important indoor test for evaluating the performance of a tire by simulating the driving conditions of a vehicle.

[0003] The six-component force test mainly includes a cornering sweep test, a longitudinal slip test and a residual aligning torque test, etc., wherein the cornering sweep test is a very important six-component force test, and the data thereof is an important basis for product design and development, scheme screening and verification, tire modeling and verification, etc.

[0004] In the commonly used international standards for six-component force cornering sweep tests, such as SAE J670, it is required to sweep the slip angle (SA) under certain test conditions, and the sweep range of the SA is-15° to 15°. However, during the sweep process, lateral vibration phenomenon occurs in some tires when the lateral force reaches the vicinity of the peak value. Such lateral vibration reduces the average lateral force of the tire and affects the handling and driving experience of the vehicle. However, the existing six-component force cornering sweep test results do not involve the evaluation of the degree of such lateral vibration, which makes it difficult for six-component force test engineers to intuitively feedback the degree of such lateral vibration to tire design engineers through the cornering sweep test results, and thus it is difficult for tire design engineers to improve the design and improve the degree of lateral vibration of the tire through DOE (Design Of Experiment) tests, etc. SUMMARY

[0005] The main purpose of the present application is to provide a method for evaluating the degree of lateral vibration of a tire and an evaluation device to solve the problem that the degree of lateral vibration of a tire cannot be evaluated during the six-component force test of the prior art.

[0006] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a method for evaluating the degree of lateral vibration of a tire is provided, which is suitable for a six-component force test of a tire, and the method for evaluating the degree of lateral vibration of a tire comprises the following steps: collecting temperature field data of the tire, wherein the temperature field data comprises: a temperature distribution area of the tire and data of the highest temperature of the tire changing with time; extracting two n time domain data points in the data of the highest temperature changing with time within a preset slip angle threshold range of the tire; n performing quadratic polynomial fitting on the two n time domain data points to obtain two ntwo time domain data points are subtracted from two n fitting data points, to obtain two n evaluation data points, according to two n evaluation data points, to determine time domain evaluation index data of the tire lateral vibration, to obtain the maximum amplitude of the tire lateral vibration and the frequency of the vibration, to determine the degree of the tire lateral vibration; wherein n is a positive integer.

[0007] Further, according to two n evaluation data points, to obtain time domain evaluation index data of the tire lateral vibration includes: generating a time domain evaluation curve according to two n evaluation data points, wherein the abscissa of the time domain evaluation curve is time, and the ordinate is temperature; extracting the number of peak values of the time domain evaluation curve, and the range of peak and valley values; wherein the number of peak values represents the number of lateral vibrations, and the range of peak and valley values reflects the maximum vibration amplitude of the tire.

[0008] Further, the method for performing quadratic polynomial fitting on two n time domain data points to obtain two n fitting data points includes: after performing quadratic polynomial fitting on two n time domain data points, obtaining a fitting formula, and generating two n fitting data points corresponding to two n time domain data points by using the fitting formula.

[0009] Further, the method for extracting two n consecutive time domain data points from the data of the highest temperature changing with time within the preset side slip angle threshold range of the tire includes: collecting a first group of continuous data of the highest temperature changing with time in the process that the side slip angle rises from 5° to 15°; then, collecting a second group of continuous data of the highest temperature changing with time in the process that the side slip angle falls from 15° to 10°; and extracting two n consecutive time domain data points from the first group of continuous data and the second group of continuous data.

[0010] Further, the evaluation method further includes: performing Fourier transform on two n evaluation data points to obtain frequency domain evaluation index data of the tire lateral vibration.

[0011] Further, after performing Fourier transform on two n evaluation data points, a frequency domain evaluation curve is obtained, the abscissa of the frequency domain evaluation curve is frequency, and the ordinate is amplitude, the maximum peak value of the frequency domain evaluation curve is extracted, and the frequency value corresponding to the maximum peak value is extracted; wherein the maximum peak value represents a larger vibration amplitude occurring in the frequency domain, and the abscissa frequency value corresponding to the maximum peak value is the frequency of the maximum vibration amplitude occurring in the frequency domain, to obtain the frequency domain evaluation index data.

[0012] Further, the evaluation method further comprises: collecting temperature field data of the tire while the side slip angle of the tire is swept from 0°.

[0013] Further, the collecting temperature field data of the tire further comprises: collecting the temperature field data of the tire by using an infrared thermal imager; wherein, before collecting the temperature field data of the tire, collecting parameters of the infrared thermal imager are set; wherein, the collecting parameters comprise at least one of: a size of a collected picture, a collecting frequency.

[0014] According to another aspect of the present application, an evaluation device is provided, which is suitable for the above-mentioned evaluation method of the lateral vibration degree of the tire, and the evaluation device comprises: a six-component force testing device; an infrared thermal imager, which is arranged on the six-component force testing device and is signal-connected with the six-component force testing device; and a data processing unit, which is connected with the infrared thermal imager, through which data collected by the infrared thermal imager is acquired and analyzed to obtain evaluation data of the lateral vibration of the tire; wherein, the evaluation data comprises at least one of: time-domain evaluation index data of the lateral vibration of the tire, and frequency-domain evaluation index data of the lateral vibration of the tire.

[0015] Further, the six-component force testing device comprises a test object placement area, and the infrared thermal imager is opposite to the test object placement area to collect temperature field data in the test object placement area by the infrared thermal imager.

[0016] By using the technical solution of the present application, the evaluation method of the lateral vibration degree of the tire is suitable for a six-component force testing experiment of the tire, and the evaluation method of the lateral vibration degree of the tire comprises: collecting temperature field data of the tire, the temperature field data comprising: a temperature distribution area of the tire, and data of the highest temperature of the tire changing with time; extracting, in a preset side slip angle threshold range of the tire, 2n time-domain data points in the data of the highest temperature changing with time; performing quadratic polynomial fitting on the 2n time-domain data points to obtain 2n fitting data points; subtracting the 2n time-domain data points from the 2n fitting data points to obtain 2n evaluation data points; and obtaining time-domain evaluation index data of the lateral vibration of the tire according to the 2n evaluation data points, and obtaining a frequency of the lateral vibration of the tire through the time-domain evaluation index data; wherein, n is a positive integer. n n n n n n n n n ​​​​​​​​After quadratic polynomial fitting and a series of analysis are performed on the 2 time domain data points, time domain evaluation index data of the tire lateral vibration is obtained, the time domain evaluation index data can reflect the trend of the tire lateral vibration over time, so as to obtain the lateral vibration frequency and the maximum amplitude of the tire within a certain time during the tire six-component force test, and evaluate the tire lateral vibration. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings, which form a part of the specification, are included to provide a further understanding of the application and are incorporated herein for explanation by referring to the embodiments of the present application. In the drawings:

[0018] Figure 1 A flowchart of the tire lateral vibration degree evaluation method according to the present application is shown;

[0019] Figure 2 A curve diagram of the original data and the fitted data in the evaluation method according to the present application is shown;

[0020] Figure 3 An evaluation data curve diagram in the evaluation method according to the present application is shown;

[0021] Figure 4 A curve diagram after Fourier transform is performed on the evaluation data in the evaluation method according to the present application is shown;

[0022] Figure 5 A structural diagram of the evaluation device according to the present application is shown.

[0023] In the above drawings, the following reference signs are used:

[0024] 100, six-component force testing device; 200, infrared thermal imager; 300, object placement area; 400, tire. DETAILED DESCRIPTION

[0025] It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail below with reference to the drawings and in combination with the embodiments.

[0026] Reference Figures 1 to 4 The present application provides a tire lateral vibration degree evaluation method, which is suitable for tire six-component force test experiment. The tire lateral vibration degree evaluation method comprises the following steps: collecting temperature field data of the tire, the temperature field data comprising: temperature distribution area of the tire, and data of the highest temperature of the tire changing over time; within a preset side slip angle threshold range of the tire, extracting 2 n time domain data points in the data of the highest temperature changing over time; performing quadratic polynomial fitting on the 2 nn time domain data points are fitted by a quadratic polynomial to obtain 2 n n fitting data points; 2 n n time domain data points are subtracted from 2 n n fitting data points to obtain 2 n n evaluation data points; according to the 2 n n evaluation data points, time domain evaluation index data of tire lateral vibration is determined, the maximum amplitude of tire lateral vibration and the frequency of vibration are obtained through the time domain evaluation index data, so as to determine the degree of tire lateral vibration; wherein n is a positive integer.

[0027] According to the tire lateral vibration degree evaluation method provided by the application, the tire lateral vibration degree evaluation method is suitable for tire six-component force test experiment, and the tire lateral vibration degree evaluation method comprises the following steps: collecting temperature field data of the tire, the temperature field data comprising: temperature distribution area of the tire, data of maximum temperature changing with time; within a preset side slip angle threshold range of the tire, 2 n n continuous time domain data points in the data of maximum temperature changing with time are extracted; 2 n n time domain data points are fitted by a quadratic polynomial to obtain 2 n n fitting data points; 2 n n time domain data points are subtracted from 2 n n fitting data points to obtain 2 n n evaluation data points; according to the 2 n n evaluation data points, time domain evaluation index data of tire lateral vibration is determined, the maximum amplitude of tire lateral vibration and the frequency of vibration are obtained through the time domain evaluation index data, so as to determine the degree of tire lateral vibration; wherein n is a positive integer. Since the curve of maximum temperature changing with time in the temperature field data also fluctuates when the tire laterally vibrates, the 2 n n continuous time domain data points of maximum temperature changing with time are extracted, the 2 n n time domain data points are fitted by a quadratic polynomial and a series of analyses are performed, and the time domain evaluation index data of tire lateral vibration is obtained, the time domain evaluation index data can reflect the trend of tire lateral vibration changing with time, the maximum amplitude and the vibration frequency of tire lateral vibration are reflected through the time domain evaluation index data, the more the vibration frequency is, the higher the relative vibration frequency is, so that the vibration frequency of the tire within a certain time is obtained when the tire is subjected to six-component force test experiment, the lateral vibration of the tire is evaluated, and the product quality of the tire is improved according to the evaluation result of the lateral vibration of the tire.

[0028] According to the 2 n n evaluation data points, the time domain evaluation index data of tire lateral vibration is obtained, which comprises: 2 nThe evaluation data generating time domain evaluation curve has time as the abscissa and temperature as the ordinate; the number of peak values of the time domain evaluation curve is extracted; wherein, the number of peak values represents the number of transverse vibrations, and the number of peak values is used to reflect the number of transverse vibrations of the tire, so as to reflect the vibration frequency of the tire; and the range of peak-to-valley values reflects the maximum vibration amplitude. In the same time, one peak value represents one vibration, and the more the number of peak values, the more the number of vibrations, that is, the higher the actual vibration frequency.

[0029] The two n evaluation data are extracted to obtain time domain evaluation index data, and the number of peak values represents the number of transverse vibrations and reflects the vibration frequency, that is, the number of vibrations in a certain time, and the range of peak-to-valley values reflects the maximum vibration amplitude.

[0030] The two n time domain data points are fitted by a quadratic polynomial to obtain two n fitting data points. n The two n time domain data points are fitted by a quadratic polynomial to obtain a fitting formula, and the two n fitting data points corresponding to the two n time domain data points are generated by using the fitting formula. Theoretically, the fitting data points are the highest temperature time domain data under the assumption that the tire does not have transverse vibration.

[0031] In the preset side slip angle threshold range of the tire, the method for extracting the continuous two n time domain data points of the highest temperature changing with time includes: collecting a first group of continuous data of the highest temperature changing with time in the process that the side slip angle rises from 5° to 15°; then collecting a second group of continuous data of the highest temperature changing with time in the process that the side slip angle falls from 15° to 10°; and extracting the continuous two n time domain data points from the first group of continuous data and the second group of continuous data. In the sweeping process, the sweeping range of the side slip angle is -15° to 15°, and in the vicinity of the peak value of the lateral force, some tires will have transverse vibration phenomenon, so in the process that the side slip angle rises from 5° to 15°, a first group of continuous data of the highest temperature changing with time is collected; then in the process that the side slip angle falls from 15° to 10°, a second group of continuous data of the highest temperature changing with time is collected; and the continuous two n time domain data points are extracted from the first group of continuous data and the second group of continuous data.

[0032] The evaluation method further includes: performing Fourier transform on the two n evaluation data points to obtain frequency domain evaluation index data of tire transverse vibration.

[0033] two n After Fourier transform is performed on the two evaluation data points, a frequency domain evaluation curve is obtained, the abscissa of the frequency domain evaluation curve is frequency, and the ordinate is amplitude. A maximum peak value of the frequency domain evaluation curve is extracted, and a frequency value corresponding to the maximum peak value is extracted. The maximum peak value represents the maximum vibration amplitude occurring in the frequency domain, and the corresponding abscissa frequency value is the frequency of the maximum vibration amplitude occurring in the frequency domain, so as to obtain the frequency domain evaluation index data. In the frequency domain evaluation curve, multiple peak values are generated, and the maximum (most prominent) peak value in the multiple peak values is the maximum peak value.

[0034] According to the time domain evaluation index data and the frequency domain evaluation index data, the differences in lateral vibration frequency, maximum amplitude, and frequency of the maximum vibration amplitude occurring in the frequency domain of different tires can be quantitatively evaluated.

[0035] In this application, the maximum amplitude and the number of vibrations of the lateral vibration of the tire are reflected by the time domain evaluation index data. The more the number of vibrations, the higher the frequency of the vibration. Two n evaluation data points are subjected to Fourier transform to obtain the frequency domain evaluation index data of the lateral vibration of the tire. The maximum peak value represents the larger vibration amplitude in the frequency domain, and the corresponding abscissa value is the vibration frequency of the maximum vibration amplitude occurring in the frequency domain.

[0036] The evaluation method further comprises collecting temperature field data of the tire while the side slip angle of the tire is swept from 0°.

[0037] Collecting the temperature field data of the tire further comprises collecting the temperature field data of the tire by using an infrared thermal imager. Before collecting the temperature field data of the tire, the collection parameters of the infrared thermal imager are set. The collection parameters include at least one of the following: the size of the collected picture, the collection frequency.

[0038] Since the tire only occurs lateral vibration when the SA (side slip angle) reaches about 15°, in order to ensure that two n data points are obtained, the SA can be increased from the starting point of 5° to 10° according to the set collection frequency.

[0039] Two n The significance of the two evaluation data is that the highest temperature time domain data of the lateral vibration fluctuates around the fitting data assuming that the tire does not occur lateral vibration.

[0040] In specific implementation, common specification tires are taken as examples, i.e., tire A and tire B, and the specific implementation manner is as follows:

[0041] (1) An infrared thermal imager of FLIR X8580 model is used, the picture size of the infrared thermal imager is set to 640*240, and the collection frequency is set to 10 Hz.

[0042] (2) Perform a side sweep test on tire A according to SAE J670 standard and start running the six-force equipment;

[0043] (3) The six-component force device triggers the infrared thermal imager, and the infrared thermal imager starts collecting tire temperature field data synchronously when SA starts sweeping from 0°.

[0044] (4) Extract the time-domain data of the highest temperature in the temperature field of tire A collected by the infrared thermal imager. Since the curve of the highest temperature in the temperature field changing with time will also fluctuate when the tire is laterally vibrating, processing these data can reflect the degree of lateral vibration of the tire;

[0045] (5) In the time-domain data of the highest temperature, 32 consecutive data points were selected and extracted as the original data during the sweep process of SA rising from 10° to 15° and then falling to 12°. The curve is shown below. Figure 2 As shown.

[0046] (6) Figure 2 For the 32 data points selected and extracted, a quadratic polynomial fitting was performed to obtain the fitting formula. The fitting formula for tire A is y = -0.0325x. 2 +1.9061x+75.776, goodness of mind is R. 2 =0.9256, the closer the goodness of fit is to 1, the higher the goodness of fit.

[0047] (7) Using the obtained fitting formula, 32 fitting data points were generated. These fitting data points were compared with the 2 previously selected and extracted data points. 5 Each data point corresponds one-to-one. Theoretically, this data represents the highest temperature in the time domain under the assumption that the tire does not experience lateral vibration. The data curve is as follows: Figure 2 The dashed line in the middle;

[0048] (8) Subtract the selected 32 data points from the fitted 32 data points to obtain 32 evaluation data points, such as... Figure 3 As shown. The significance of these 32 evaluation data points is that the time-domain data of the highest temperature at which lateral vibration occurred fluctuates around the fitted data assuming that the tire did not experience lateral vibration;

[0049] (9) Extraction Figure 3 The peak count and peak-to-valley range of 32 evaluation data points were used to obtain time-domain evaluation index data. Tire A had 6 peak counts and a peak-to-valley range of 8.8. The peak count represents the number of lateral vibrations, reflecting the vibration frequency, i.e., how many times it vibrates within a certain time period. The peak-to-valley range reflects the maximum vibration amplitude.

[0050] (10) further Fourier transform the 32 evaluation data, transform the time domain data into the frequency domain, extract the frequency corresponding to the maximum peak value of the data curve after being transformed into the frequency domain, the maximum peak value of tire A corresponds to the frequency of 2Hz, which is the frequency corresponding to the maximum amplitude, which is the evaluation index data in the frequency domain;

[0051] (11) repeat the above steps for tire B, and the peak value number of the evaluation data of tire B is 11, the peak-valley value range is 12.0, and the maximum peak value after Fourier transform corresponds to the frequency of 9Hz. In summary, compared with tire A, the transverse vibration frequency and amplitude of tire B are higher, and the vibration frequency of the maximum amplitude in the frequency domain is higher.

[0052] As shown in Figure 5 , the application also provides an evaluation device suitable for the tire transverse vibration degree evaluation method of the above-mentioned embodiments, the evaluation device comprising: a six-component force testing device 100; an infrared thermal imager 200, the infrared thermal imager 200 is arranged on the six-component force testing device 100, and the infrared thermal imager 200 is signal connected with the six-component force testing device 100; a data processing unit connected with the infrared thermal imager 200, the data processing unit is used to acquire and analyze the data collected by the infrared thermal imager to obtain the evaluation data of the tire transverse vibration; wherein the evaluation data comprises at least one of the following: time domain evaluation index data of tire transverse vibration, frequency domain evaluation index data of tire transverse vibration.

[0053] The six-component force testing device 100 comprises a test object placement area 300, the tire 400 is placed in the test object placement area 300, and the infrared thermal imager 200 is opposite to the test object placement area 300, so as to acquire the temperature field data of the tire in the test object placement area 300 by the infrared thermal imager 200.

[0054] From the above description, it can be seen that the above-mentioned embodiments of the application achieve the following technical effects:

[0055] According to the tire transverse vibration degree evaluation method provided by the application, the tire transverse vibration degree evaluation method is suitable for tire six-component force testing experiment, and the tire transverse vibration degree evaluation method comprises the following steps: collecting temperature field data of the tire, the temperature field data comprising: temperature distribution area of the tire, data of the highest temperature of the tire changing with time; in the preset side slip angle threshold range of the tire, extracting 2 n time domain data points in the data of the highest temperature changing with time; performing quadratic polynomial fitting on the 2 n time domain data points to obtain 2 n fitting data points; subtracting the 2 n time domain data points from the 2 n fitting data points to obtain 2 n evaluation data points, and the 2 nThe time-domain evaluation index data of the tire lateral vibration is determined by the n evaluation data points, the maximum amplitude of the tire lateral vibration and the frequency of the vibration are obtained through the time-domain evaluation index data, so as to determine the degree of the tire lateral vibration; wherein n is a positive integer. Since the highest temperature in the temperature field data fluctuates with time when the tire is laterally vibrated, the continuous 2 n The time-domain evaluation index data of the tire lateral vibration is determined by the n evaluation data points, the maximum amplitude of the tire lateral vibration and the frequency of the vibration are obtained through the time-domain evaluation index data, so as to determine the degree of the tire lateral vibration; wherein n is a positive integer. Since the highest temperature in the temperature field data fluctuates with time when the tire is laterally vibrated, the continuous 2 n The time-domain evaluation index data of the tire lateral vibration is determined by the n evaluation data points, the maximum amplitude of the tire lateral vibration and the frequency of the vibration are obtained through the time-domain evaluation index data, so as to determine the degree of the tire lateral vibration; wherein n is a positive integer. Since the highest temperature in the temperature field data fluctuates with time when the tire is laterally vibrated, the continuous 2

[0056] The above only describes the preferred embodiments of the present application and is not used to limit the present application. For those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for evaluating the degree of tire lateral vibration, which is applied to a tire six-component force test, characterized by, The evaluation method of the tire lateral vibration degree comprises: Collecting temperature field data of the tire, the temperature field data comprising: temperature distribution area of the tire, data of the highest temperature of the tire changing with time; Within a preset side slip angle threshold range of the tire, 2 n consecutive time domain data points in the data of the highest temperature changing over time are extracted To 2 n quadratic polynomial fitting on the 2 n fitting data points. Subtracting 2 n of the fitting data points from 2 n of the time domain data points results in 2 n evaluation data points; According to 2 n The time domain evaluation index data of the tire lateral vibration is determined according to the evaluation data points, the maximum amplitude and the frequency of the vibration of the tire lateral vibration are obtained through the time domain evaluation index data, so as to determine the degree of the tire lateral vibration. Wherein, n is a positive integer; The method according to 2 n The method according to 2 n The method according to 2 Wherein, the number of the peak value represents the number of lateral vibration, the number of the peak value appearing reflecting the number of the tire lateral vibration, so as to reflect the vibration frequency of the tire; the range of the peak value and the valley value reflecting the maximum vibration amplitude of the tire; To 2 n The method for obtaining 2 n The method for obtaining 2 n The method for obtaining 2 n The method for obtaining 2 n The method for obtaining 2 In the preset side slip angle threshold range of the tire, the method for extracting 2 n consecutive time domain data points in the highest temperature change data over time includes: collecting a first group of consecutive data of the highest temperature change over time during the process that the side slip angle rises from 5° to 15°; then collecting a second group of consecutive data of the highest temperature change over time during the process that the side slip angle falls from 15° to 10°; and extracting 2 n consecutive time domain data points in the first group of consecutive data of the highest temperature change over time and the second group of consecutive data of the highest temperature change over time.

2. The evaluation method according to claim 1, characterized in that The evaluation method further comprises: On 2 n Fourier transform is performed on the evaluation data points to obtain frequency domain evaluation index data of the tire lateral vibration.

3. The evaluation method according to claim 2, characterized in that To 2 n After Fourier transform of the two evaluation data points, a frequency domain evaluation curve is obtained, the abscissa of the frequency domain evaluation curve is frequency, the ordinate is amplitude, the maximum peak value of the frequency domain evaluation curve is extracted, and the frequency value corresponding to the maximum peak value is extracted. Wherein, the maximum peak value represents the maximum vibration amplitude occurring in the frequency domain, and the corresponding abscissa frequency value is the frequency of the maximum vibration amplitude occurring in the frequency domain, so as to obtain the frequency domain evaluation index data.

4. The evaluation method according to any one of claims 1 to 3, characterized in that, The evaluation method further comprises: Collecting the temperature field data of the tire while the side slip angle of the tire is swept from 0°.

5. The evaluation method according to any one of claims 1 to 3, characterized in that, Collecting the temperature field data of the tire further comprises: Collecting the temperature field data of the tire by using an infrared thermal imager; wherein, before collecting the temperature field data of the tire, setting the collection parameters of the infrared thermal imager; Wherein, the collection parameters comprise at least one of the following: the size of the collected picture, the collection frequency.

6. An evaluation device adapted to the tire lateral vibration degree evaluation method according to any one of claims 1 to 5, characterized by, The evaluation device comprises: A six-component force testing device (100); An infrared thermal imager (200) is arranged on the six-component force testing device (100), and the infrared thermal imager (200) is signal connected with the six-component force testing device (100); A data processing unit is connected with the infrared thermal imager (200), through which the data collected by the infrared thermal imager is acquired and analyzed to obtain the evaluation data of the tire lateral vibration; Wherein, the evaluation data comprises at least one of the following: time domain evaluation index data of tire lateral vibration, frequency domain evaluation index data of tire lateral vibration.

7. The evaluation device according to claim 6, characterized in that, The six-component force testing device (100) comprises a measured object placement area (300), and the infrared thermal imager (200) is opposite to the measured object placement area (300) to collect the temperature field data in the measured object placement area (300) by the infrared thermal imager (200).

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