CN113532718A - Identification method and equipment for stability of tire six-component detection system - Google Patents
Identification method and equipment for stability of tire six-component detection system Download PDFInfo
- Publication number
- CN113532718A CN113532718A CN202110599312.9A CN202110599312A CN113532718A CN 113532718 A CN113532718 A CN 113532718A CN 202110599312 A CN202110599312 A CN 202110599312A CN 113532718 A CN113532718 A CN 113532718A
- Authority
- CN
- China
- Prior art keywords
- tire
- data
- tires
- stability
- state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/16—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring several components of force
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/56—Investigating resistance to wear or abrasion
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Tires In General (AREA)
Abstract
The invention belongs to the field of tires, and relates to a method and equipment for identifying the stability of a six-component testing machine for an automobile tire. The method comprises the following steps: 1) selecting a sufficient number of tires with good individual consistency as control tires, and dividing the control tires into 2 groups; 2) selecting A group of tires, and sequentially selecting 1 tire in a fixed period to carry out state detection on the six-component testing machine under the test conditions of higher speed, higher load and smaller slip angle; 3) calculating the stability coefficients of lateral deflection rigidity and return rigidity by using an automatic template device, and identifying the state of the six-component force testing machine; 4) and B group of tires, sequentially selecting 1 tire in a fixed period, and monitoring the abrasive paper abrasion state at a lower speed, a lower load and a larger slip angle: and calculating the stability coefficient of the lateral force adhesion coefficient by using an automatic template device, and identifying the abrasive paper abrasion state.
Description
Technical Field
The invention belongs to the field of tires, and relates to a method and equipment for identifying the stability of a six-component testing machine for an automobile tire.
Background
The six-component testing machine for the automobile tire is used for simulating and measuring tire force and moment generated in the contact process of the tire and a road surface, is mainly used for tire benchmarking analysis and tire dynamics modeling, and has an important effect on the research of automobile safety, smoothness and operation stability. The stability of the six-component testing machine mainly comprises two aspects of equipment sensor stability and test road surface stability. The accuracy and stability of the equipment sensor can be calibrated by periodic calibration, but the calibration time and the cost are large, so the interval time of calibration is usually long, and the equipment sensor is not suitable for daily equipment state monitoring. In order to simulate the driving of a car on a test field or a road, sand paper with certain roughness is adhered to a test road surface. With the continuous use of the testing machine, the abrasive paper is in a dynamic abrasion process, so that the state stability of the six-component system cannot be effectively identified only by means of 1-2 years/time system calibration.
Due to different development requirements, the test tire specifications and test conditions are widely distributed, so that the use frequency of the test sand paper in different areas is different, as shown in the attached drawing 1. Statistically, the wear states are distributed in a step from the center to two sides, and the area of 225mm in the center of the sand paper is the most frequently used area. At present, a method for monitoring six-component force by using 10 smooth tires in GBT 397702 is generally adopted, but the method does not distinguish the state of a six-component force testing machine from the state of test sand paper, and once one control tire fails, all the control tires need to be replaced, so that the testing efficiency is influenced.
Therefore, a monitoring method of a six-component force detection system, which is fast, effective and capable of independently replacing a failed tire, is needed to be developed by selecting a proper control tire, so that the drift of a six-component force testing machine and the abrasion state of test abrasive paper can be accurately identified.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method for identifying the stability of a six-component detection system of a tire, which adopts a smooth surface control tire to respectively carry out tests in a linear region and a non-linear region of the tire lateral deviation characteristic so as to judge the data drift of six-component equipment, test sand paper failure and control tire failure, and further develops an automatic data processing template.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for identifying the stability of a six-component tire force detection system comprises the following steps:
1) selecting a sufficient number of tires with good individual consistency as control tires, and dividing the control tires into a group A and a group B;
2) selecting A group of tires, and sequentially selecting 1 tire in a fixed period to carry out state detection on the six-component testing machine under the test conditions of higher speed, higher load and smaller slip angle;
3) calculating the stability coefficients of lateral deflection rigidity and return rigidity by using an automatic template device, and identifying the state of the six-component force testing machine;
4) and B group of tires, sequentially selecting 1 tire in a fixed period, and monitoring the abrasive paper abrasion state at a lower speed, a lower load and a larger slip angle:
and calculating the stability coefficient of the lateral force adhesion coefficient by using an automatic template device, and identifying the abrasive paper abrasion state.
Preferably, the step 2) comprises the following steps:
2.1) the selected control tires are loaded with suitable tires and parked for at least 3 hours in a laboratory environment;
2.2) adjusting the tire inflation pressure to a specified air pressure, setting the camber angle to be zero, and setting a higher speed and a higher load;
2.3) respectively acquiring the slip angle SA and the lateral force F of one circle after two circles of tire running under the conditions that the slip angle is 0 degrees, 0.5 degrees, -1 degree and 1 degreeyVertical force FzSum and return moment MzAnd (4) data.
Preferably, the step 3) comprises the following steps:
3.1) calculating the lateral force and aligning moment correction values, Fy-corrAnd Mz-corr
3.2) calculating the slope of the linear fitting of the lateral force to the lateral deflection angle after correction as the lateral deflection rigidity CP of the tire and the slope of the linear fitting of the aligning moment to the lateral deflection angle after correction as the aligning rigidity ATP of the tire;
3.3) calculating the current-day lateral offset stiffness CPnAnd current day alignment of rigid ATPnComparing the stability factor epsilon in the tire historical dataCPAnd εATPSee the formula for details:
3.4) stability factor εCPAnd εATPIf the data do not exceed 2.5, the state of the equipment sensor can be judged to be stable, otherwise, the data exceed the standard and retesting is required after human factors are eliminated; if the data do not exceed the standard, judging that the state of the sensor is stable, otherwise, carrying out sensor state detection tests of other tires; if the data still exceed the standard, judging that the control tire fails on the same day and needing to be replaced; otherwise, the equipment is judged to drift, and the equipment needs to be calibrated in time.
Preferably, the step 4) comprises the following steps:
4.1) the selected control tires are loaded with suitable tires and parked for at least 3 hours in a laboratory environment;
4.2) adjusting the tire inflation pressure to a specified air pressure, setting the camber angle to be zero degree, and setting a lower speed and a lower load;
4.3) respectively acquiring the data of the slip angle SA, the lateral force Fy and the vertical force Fz of one circle after the tire runs for two circles under the conditions of 0 degree, -1 degree, -2 degree, -4 degree, -8 degree and 8 degree.
Preferably, the step 5) comprises the following steps:
5.1) calculating the coefficient of adhesion of lateral force mu, mu ═ F at each slip angley/Fz；
5.2) calculating the stability coefficient epsilon of the lateral force adhesion coefficient under each lateral deflection angleμIn detail, see formula (5)
5.3) sand paper state judgment: if the coefficient of stability εμIf the data does not exceed 2.5, the state of the abrasive paper can be judged to be stable, otherwise, the data exceeds the standard and needs to be tested again after human factors are eliminated; if the data do not exceed the standard, judging that the abrasive paper state is stable, otherwise, carrying out abrasive paper state detection tests of other tires; if the data do not exceed the standard, the control tire is judged to be invalid on the same day and needs to be replaced; otherwise, the abrasive paper is judged to be abnormal in abrasion state, and the abrasive paper needs to be replaced in time.
Furthermore, the invention also discloses equipment for identifying the stability of the tire six-component detection system, which comprises a data acquisition module and a data analysis module, wherein the data acquisition module adopts the data in the steps 2) and 4); and the data analysis module acquires the data and carries out calculation and judgment according to the methods in the steps 3) and 5).
Further, the present invention also discloses an electronic device, which includes a processor, a memory, and a computer program stored on the memory and operable on the processor, wherein the computer program, when executed by the processor, implements the following steps:
acquiring data acquired in the step 2) and the step 4);
calculating and judging according to the methods of the step 3) and the step 5), respectively.
Further, the present invention also discloses a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of:
acquiring data acquired in the step 2) and the step 4);
calculating and judging according to the methods of the step 3) and the step 5), respectively.
The invention also discloses an automatic processing template which is an excel file with a macro command, and opens a file pop-up window, so that test information reading, original data storage, data processing and equipment state judgment can be automatically realized, wherein the stability coefficient value is the maximum stability coefficient in the latest data of each tire.
The invention has the advantages of
(1) The detection method is reliable, simple in procedure and high in test efficiency.
(2) The method can effectively identify the accuracy of the test data of the six-component testing machine, particularly the drift phenomenon.
(3) The invention can effectively identify and judge the abrasion state of the test sand paper.
Drawings
Fig. 1 is a schematic diagram of a six-component test sandpaper wear area.
Fig. 2 is a flow chart of monitoring the state of the six-component equipment.
Fig. 3 is a schematic diagram of a state monitoring window of a six-component device.
Detailed Description
The technical solution of the present invention is further described below by specific embodiments.
Selecting 5 225/60R16 smooth tires with good consistency as control tires, respectively numbering A1, A2, A3, B1 and B2, mounting test rims meeting the standard regulation, and parking for at least 3 hours in a laboratory environment, wherein the parking air pressure is 270kPa +/-1 kPa.
A tire with the serial number of A start is selected in sequence every day to execute a six-component sensor state monitoring test, and the specific test steps are as follows:
1. mounting the parked tire to a six-component force testing machine, and adjusting the testing air pressure to 250kPa +/-1 kPa;
2. setting the camber angle to be 0 degrees, the test load to be 6000N and the test speed to be 80 km/h;
3. respectively collecting the tyre running for two circles under the conditions of side deflection angles of 0 degree, 0.5 degrees, 1 degree and 1 degreeSlip angle SA, lateral force FyVertical force FzSum and return moment MzData;
4. opening an automatic template file, popping up a window shown in the attached figure 2, and checking detection information;
5. clicking the 'equipment state identification' button in the form, the automatic data processing comprises the following calculations:
(a) correcting the lateral force and the aligning moment by adopting formulas (1) and (2);
(b) calculating the slope of the linear fitting of the lateral force to the lateral deflection angle after correction, namely the lateral deflection rigidity (CP) of the tire and the slope of the linear fitting of the aligning moment to the lateral deflection angle after correction, namely the aligning rigidity (ATP) of the tire;
(c) respectively calculating the cornering stiffness (CP) of the control tire on the same day by adopting the formulas (3) and (4)n) And aligning stiffness (ATP)n) Comparing the stability coefficient in the tire historical data;
(d) the larger value of the stability coefficients of the cornering stiffness and the aligning stiffness of the tires A1, A2 and A3 is used for judging that the control tire is failed or the equipment sensor drifts.
Selecting a tire with the number B beginning in sequence every three days to execute a sand paper abrasion state monitoring test, wherein the specific test steps are as follows:
1. mounting the parked tire to a six-component force testing machine, and adjusting the testing air pressure to 250kPa +/-1 kPa;
2. setting the camber angle to be 0 degrees, the test load to be 3000N, and the test speed to be 10 km/h;
3. respectively collecting the sideslip angle SA and the sideslip force F of one circle after the tire runs for two circles under the conditions of 0 degree, 1 degree, -2 degrees, 4 degrees, -8 degrees and 8 degreesyVertical force Fz；
4. Opening an automatic template file, popping up a window shown in the attached figure 2, and checking detection information;
5. clicking the 'equipment state identification' button in the form, the automatic data processing comprises the following calculations:
(a) calculating the lateral force adhesion coefficient mu under each lateral deflection angle,
(b) calculating the stability coefficient of the lateral force adhesion coefficient mu under each slip angle by adopting the formula (5)
(c) The maximum values of the lateral adhesion coefficients of the tires B1 and B2 are respectively taken to judge the control tire failure or the abnormal abrasion state of the test sand paper.
After 8 weeks of monitoring by the method, the stability coefficients of related parameters of A1, A2, A3, B1 and B2 are summarized in a table 1-a table 3, wherein the A1 tire shows that the state of the testing machine is stable, the data of the B1 tire is abnormal, the data still exceeds the standard after the B2 tire is used, and the abrasion of test sand paper is judged to be abnormal, and the sand paper needs to be replaced.
TABLE 1 stability coefficient of state detection test of six-component force testing machine
TABLE 2B 1 tire-six component force sandpaper wear monitoring test stability factor
| Number of tests | μ0 | μ1 | μ-1 | μ2 | μ-2 | μ4 | μ-4 | μ8 | μ-8 |
| 1 | 1.84 | 0.92 | 1.72 | 1.22 | 1.17 | 0.84 | 0.81 | 1.26 | 1.81 |
| 2 | 0.86 | 1.44 | 1.90 | 0.74 | 1.55 | 1.25 | 0.50 | 1.48 | 0.59 |
| 3 | 1.23 | 0.75 | 0.93 | 1.82 | 0.63 | 1.77 | 1.05 | 0.67 | 1.57 |
| 4 | 1.85 | 0.51 | 1.85 | 0.84 | 1.35 | 0.56 | 0.99 | 1.25 | 0.68 |
| 5 | 1.79 | 1.00 | 1.87 | 1.70 | 1.07 | 1.48 | 1.04 | 0.89 | 1.77 |
| 6 | 2.02 | 1.79 | 1.60 | 1.96 | 1.93 | 1.25 | 0.80 | 0.97 | 1.48 |
| 7 | 1.24 | 0.88 | 1.98 | 1.49 | 0.81 | 0.72 | 0.68 | 1.80 | 0.79 |
| 8 | 2.69 | 1.95 | 1.50 | 1.90 | 1.49 | 2.66 | 1.68 | 1.76 | 0.67 |
Table 3B 2 tire-six component force sandpaper wear monitoring test stability factor
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention, including any reference to the above-mentioned embodiments. Various modifications to these embodiments will be readily apparent to those skilled in the art. The general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method for identifying the stability of a six-component tire force detection system is characterized by comprising the following steps of:
1) selecting a sufficient number of tires with good individual consistency as control tires, and dividing the control tires into a group A and a group B;
2) selecting A group of tires, and sequentially selecting 1 tire in a fixed period to carry out state detection on the six-component testing machine under the test conditions of higher speed, higher load and smaller slip angle;
3) calculating the stability coefficients of lateral deflection rigidity and return rigidity by using an automatic template device, and identifying the state of the six-component force testing machine;
4) and B group of tires, sequentially selecting 1 tire in a fixed period, and monitoring the abrasive paper abrasion state at a lower speed, a lower load and a larger slip angle:
5) and calculating the stability coefficient of the lateral force adhesion coefficient by using an automatic template device, and identifying the abrasive paper abrasion state.
2. The method for identifying the stability of the six-component tire force detection system according to claim 1, wherein the step 2) comprises the following steps:
2.1) the selected control tires are loaded with suitable tires and parked for at least 3 hours in a laboratory environment;
2.2) adjusting the tire inflation pressure to a specified air pressure, setting the camber angle to be zero, and setting a higher speed and a higher load;
2.3) respectively acquiring the slip angle SA and the lateral force F of one circle after two circles of tire running under the conditions that the slip angle is 0 degrees, 0.5 degrees, -1 degree and 1 degreeyVertical force FzSum and return moment MzAnd (4) data.
3. The method for identifying the stability of the six-component tire force detection system according to claim 1 or 2, wherein the step 3) comprises the following steps:
3.1) calculation of lateral and aligning forcesCorrection value of moment, Fy-corrAnd Mz-c
3.2) calculating the slope of the linear fitting of the lateral force to the lateral deflection angle after correction as the lateral deflection rigidity CP of the tire and the slope of the linear fitting of the aligning moment to the lateral deflection angle after correction as the aligning rigidity ATP of the tire;
3.3) calculating the current-day lateral offset stiffness CPnAnd current day alignment of rigid ATPnComparing the stability factor epsilon in the tire historical dataCPAnd εATPSee the formula for details:
3.4) stability factor εCPAnd εATPIf the data do not exceed 2.5, the state of the equipment sensor can be judged to be stable, otherwise, the data exceed the standard and retesting is required after human factors are eliminated; if the data do not exceed the standard, judging that the state of the sensor is stable, otherwise, carrying out sensor state detection tests of other tires; if the data still exceed the standard, judging that the control tire fails on the same day and needing to be replaced; otherwise, the equipment is judged to drift, and the equipment needs to be calibrated in time.
4. The method for identifying the stability of the six-component tire force detection system according to claim 1, wherein the step 4) comprises the following steps:
4.1) the selected control tires are loaded with suitable tires and parked for at least 3 hours in a laboratory environment;
4.2) adjusting the tire inflation pressure to a specified air pressure, setting the camber angle to be zero degree, and setting a lower speed and a lower load;
4.3) respectively acquiring the slip angle SA and the lateral force F of one circle after two circles of running of the tire under the conditions of 0 degree, -1 degree, -2 degree, -4 degree, -8 degree and 8 degree of the slip angleyVertical force FzAnd (4) data.
5. The method for identifying the stability of the six-component tire force detection system according to claim 5, wherein the step 5) comprises the following steps:
5.1) calculating the coefficient of adhesion of lateral force mu, mu ═ F at each slip angley/Fz；
5.2) calculating the stability coefficient epsilon of the lateral force adhesion coefficient under each lateral deflection angleμIn detail, see formula (5)
5.3) sand paper state judgment: if the coefficient of stability εμIf the data does not exceed 2.5, the state of the abrasive paper can be judged to be stable, otherwise, the data exceeds the standard and needs to be tested again after human factors are eliminated; if the data do not exceed the standard, judging that the abrasive paper state is stable, otherwise, carrying out abrasive paper state detection tests of other tires; if the data do not exceed the standard, the control tire is judged to be invalid on the same day and needs to be replaced; otherwise, the abrasive paper is judged to be abnormal in abrasion state, and the abrasive paper needs to be replaced in time.
6. An identification device for the stability of a six-component tire force detection system, which is characterized by comprising a data acquisition module and a data analysis module, wherein the data acquisition module adopts the data in the step 2) and the step 4) of any one of claims 1-5; and the data analysis module acquires the data and carries out calculation and judgment according to the methods in the steps 3) and 5).
7. An electronic device comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of:
A. obtaining data collected in step 2) and step 4) of any one of claims 1-5;
B. calculating and judging according to the methods of the step 3) and the step 5), respectively.
8. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of:
A. obtaining data collected in step 2) and step 4) of any one of claims 1-5;
B. calculating and judging according to the methods of the step 3) and the step 5), respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110599312.9A CN113532718B (en) | 2021-05-31 | 2021-05-31 | Identification method and equipment for stability of tire six-component detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110599312.9A CN113532718B (en) | 2021-05-31 | 2021-05-31 | Identification method and equipment for stability of tire six-component detection system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113532718A true CN113532718A (en) | 2021-10-22 |
| CN113532718B CN113532718B (en) | 2023-02-10 |
Family
ID=78094904
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110599312.9A Active CN113532718B (en) | 2021-05-31 | 2021-05-31 | Identification method and equipment for stability of tire six-component detection system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113532718B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH02259445A (en) * | 1989-03-31 | 1990-10-22 | Yokohama Rubber Co Ltd:The | Method for correcting accuracy of tire uniformity machine |
| US5959201A (en) * | 1997-11-06 | 1999-09-28 | Cummins; Joseph A. | Hand-held tire pressure and soundness testing device |
| US20060169034A1 (en) * | 2005-01-31 | 2006-08-03 | Cooper Tire & Rubber Company | Method and apparatus for testing rubber tires or solid rubber wheel laboratory samples |
| US20120186324A1 (en) * | 2011-01-26 | 2012-07-26 | Bridgestone Americas Tire Operations, Llc | Engineered surfaces for laboratory tread wear testing of tires |
| CN103279675A (en) * | 2013-06-04 | 2013-09-04 | 上海理工大学 | Method for estimating tire-road adhesion coefficients and tire slip angles |
| CN103308324A (en) * | 2013-06-25 | 2013-09-18 | 吉林大学 | Intelligent comprehensive performance detection system for vehicle |
| CN104236928A (en) * | 2014-05-09 | 2014-12-24 | 吉林大学 | Method for testing tire steady-state laterodeviation mechanical properties |
| CN106250574A (en) * | 2016-02-19 | 2016-12-21 | 中策橡胶集团有限公司 | The treating method and apparatus of Tire testing data |
| CN110147628A (en) * | 2019-05-29 | 2019-08-20 | 台州学院 | Consider the tire cornering stiffness zoning method for calculating of multifactor variation |
-
2021
- 2021-05-31 CN CN202110599312.9A patent/CN113532718B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH02259445A (en) * | 1989-03-31 | 1990-10-22 | Yokohama Rubber Co Ltd:The | Method for correcting accuracy of tire uniformity machine |
| US5959201A (en) * | 1997-11-06 | 1999-09-28 | Cummins; Joseph A. | Hand-held tire pressure and soundness testing device |
| US20060169034A1 (en) * | 2005-01-31 | 2006-08-03 | Cooper Tire & Rubber Company | Method and apparatus for testing rubber tires or solid rubber wheel laboratory samples |
| US20120186324A1 (en) * | 2011-01-26 | 2012-07-26 | Bridgestone Americas Tire Operations, Llc | Engineered surfaces for laboratory tread wear testing of tires |
| CN103279675A (en) * | 2013-06-04 | 2013-09-04 | 上海理工大学 | Method for estimating tire-road adhesion coefficients and tire slip angles |
| CN103308324A (en) * | 2013-06-25 | 2013-09-18 | 吉林大学 | Intelligent comprehensive performance detection system for vehicle |
| CN104236928A (en) * | 2014-05-09 | 2014-12-24 | 吉林大学 | Method for testing tire steady-state laterodeviation mechanical properties |
| CN106250574A (en) * | 2016-02-19 | 2016-12-21 | 中策橡胶集团有限公司 | The treating method and apparatus of Tire testing data |
| CN110147628A (en) * | 2019-05-29 | 2019-08-20 | 台州学院 | Consider the tire cornering stiffness zoning method for calculating of multifactor variation |
Non-Patent Citations (1)
| Title |
|---|
| 卢荡等: "磨损对轮胎侧偏刚度和回正刚度影响的研究", 《机械工程学报》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113532718B (en) | 2023-02-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11458777B2 (en) | Tread wear monitoring system and method | |
| CN103260912B (en) | The method and system of estimation inflation pressure of tire | |
| EP2364865B1 (en) | Method and apparatus for detecting tire having decreased internal pressure, and program for detecting tire having decreased internal pressure | |
| US20070034000A1 (en) | Method for detecting decrease in inner pressure of tire using GPS speed information | |
| BR102014005211B1 (en) | DYNAMIC LOAD ESTIMATION SYSTEM TO ESTIMATE THE LOAD OF A VEHICLE, AND METHOD TO ESTIMATE A DYNAMIC LOAD ON A TIRE SUPPORTING THE VEHICLE | |
| JPH10258618A (en) | Tire inflation pressure lowering detection method of vehicle | |
| JP7408101B2 (en) | How to evaluate vehicle tire pressure | |
| CN103660811A (en) | Tire sidewall load estimation system and method | |
| CN103863029A (en) | Tire slip angle estimation system and method | |
| CN110431026A (en) | For determining method, control device and the system of the pattern depth of tyre tread | |
| US20230347901A1 (en) | Maximum friction coefficient estimation system and maximum friction coefficient estimation method | |
| CN104350369B (en) | For carrying out the apparatus and method of pressure of tire detection | |
| CN112182477B (en) | Tire lateral force identification method and device | |
| CN109918792B (en) | Computer-based dynamic simulation system and method for tire unbalance amount | |
| CN113532718A (en) | Identification method and equipment for stability of tire six-component detection system | |
| US8350688B2 (en) | System and method for indirect indication of tire pressure loss | |
| CN108388733B (en) | Ground friction force-based four-wheel layout undercarriage modeling method and device | |
| CN106232439A (en) | For the method running electric brake system | |
| US20110190975A1 (en) | Method and device for detecting loss of pressure in a tire | |
| Tielking et al. | Mechanical properties of truck tires | |
| CN205651907U (en) | Tyre pressure monitoring device and car | |
| CN116147746A (en) | Weighing method and system for vehicle and computer readable storage medium | |
| CN104866639A (en) | Method and device for acquiring resistance of automobile steering system | |
| Jonson et al. | A methodology for identification of magic formula tire model parameters from in-vehicle measurements | |
| CN102096761A (en) | Apparatus and method for supplying a person with information for statically adjusting a motor vehicle equipped with wheels fitted with tyres |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 310008 No. 1, No. 1 Street, Qiantang District, Hangzhou, Zhejiang Applicant after: Zhongce Rubber Group Co.,Ltd. Address before: No.2, 10th Street, Qiantang New District, Hangzhou, Zhejiang Province, 310008 Applicant before: ZHONGCE RUBBER GROUP Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |