Method for determining tire characteristic influencing variables and control device therefor

Patent metadata

Field	Value
Publication number	US-11067431-B2
Application number	US-201815905510-A
Country	US
Kind code	B2
Filing date	Feb 26, 2018
Priority date	Aug 25, 2015
Publication date	Jul 20, 2021
Grant date	Jul 20, 2021

Abstract

A method is for determining a tire characteristic influencing variable and includes: a) detecting an acceleration of a measurement point on a tire inner side of a vehicle tire, wherein a deviation, caused by contact of the vehicle tire with a roadway, of the acceleration of the measurement point within an observation window is detected, b) deriving at least one analytical characteristic variable which is characteristic of the detected acceleration, wherein the at least one analytical characteristic variable characterizes the non-periodic profile of the detected acceleration within one tire rotation, c) determining at least one tire characteristic influencing variable in a manner dependent on the at least one analytical characteristic variable, wherein a mathematical mapping yields the dependency between the analytical characteristic variable and the tire characteristic influencing variable, wherein the mathematical mapping assigns at least one tire characteristic influencing variable to the at least one derived analytical characteristic variable.

First claim

What is claimed is:

1. A method for determining a tire characteristic influencing variable, the method:
a) detecting an acceleration of a measurement point on a tire inner side of a vehicle tire by a sensor positioned on the tire inner side, wherein a deviation, caused by contact of the vehicle tire with a roadway, of the acceleration of the measurement point within an observation window is detected, where the acceleration comprises a radial acceleration and a tangential acceleration;
b) deriving at least one analytical characteristic variable by the sensor which is characteristic of the detected acceleration, wherein the at least one analytical characteristic variable characterizes a non-periodic profile of the detected acceleration within one tire rotation, the at least one analytical characteristic variable comprising a rising gradient of the radial acceleration at a rising flank and a falling gradient of the radial acceleration at a falling flank;
receiving the at least one analytical characteristic variable at a control unit by a radio signal from the sensor; and,
c) determining at least one tire characteristic influencing variable by the control unit in a manner dependent on the at least one analytical characteristic variable, wherein a mathematical mapping yields the dependency between the analytical characteristic variable and the tire characteristic influencing variable, wherein the mathematical mapping assigns at least one tire characteristic influencing variable to the at least one derived analytical characteristic variable and wherein the at least one tire characteristic influencing variable is stored in the control unit, the at least one tire characteristic influencing variable comprising a profile depth and a wheel load of the vehicle tire, the profile depth is a tread depth of the tire;
wherein a determination of the profile depth and the wheel load as at least one tire characteristic influencing variable includes using a mapping matrix (M) and a shift factor (V) having constant elements (a, b, c, d, C a , C b ) which map analytical characteristic variables (S 1 , S 2 , B 1 ) linearly onto the profile depth and the wheel load, wherein the analytical characteristic variables are dependent on the profile depth and the wheel load; and
wherein the mapping matrix and the shift factor define a linear first-order equation system, the solution of which, for the two derived analytical characteristic variables yields, a wheel load and the profile depth.

2. The method of claim 1 , wherein, for said determination of the at least one tire characteristic influencing variable as a mathematical mapping wherein the mathematical mapping maps the at least one analytical characteristic variable onto the at least one tire characteristic influencing variable, such that every value of the at least one analytical characteristic variable is assigned exactly one value of the at least one tire characteristic influencing variable.

3. The method of claim 2 , wherein a determination of a wheel load as at least one tire characteristic influencing variable includes using a calibration curve which runs within a linear tolerance band, wherein the tolerance band runs with a deviation of less than 15% around a linear approximation to the calibration curve.

4. The method of claim 2 , wherein a determination of a wheel load as at least one tire characteristic influencing variable includes using a calibration curve which runs within a linear tolerance band, wherein the tolerance band runs with a deviation of less than 5% around a linear approximation to the calibration curve.

5. The method of claim 2 , wherein a determination of a wheel load as at least one tire characteristic influencing variable includes using a calibration curve which runs linearly, and the wheel load is determined from a multiplication of the at least one analytical characteristic variable by a gradient of the calibration curve taking into consideration a tire-specific constant.

6. The method of claim 1 , wherein each analytical characteristic variable is assigned in each case one calibration curve.

7. The method of claim 1 , wherein, as at least one analytical characteristic variable, a time interval or an angular interval or a distance difference along the rolling circumference between two acceleration states of the measurement point is derived from the detected acceleration.

8. The method of claim 7 , wherein a maximum positive change of a radial acceleration within a tire contact patch region and a maximum negative change of the radial acceleration within a tire contact patch region are selected as acceleration states.

9. The method of claim 7 , wherein a radial acceleration in both acceleration states is approximately identical, and the radial acceleration in both acceleration states corresponds to a value which lies between 25% and 75% of the maximum radial acceleration 5 within the tire contact patch region, and wherein the maximum radial acceleration is determined from at least one of a profile of the detected radial acceleration weighted and averaged over multiple tire rotations and a profile of the detected radial acceleration smoothed in accordance with the floating mean value principle.

10. The method of claim 8 , wherein the derivation of the at least one analytical characteristic variable from the radial acceleration includes:
forming a characteristic curve versus a time or a traversed rolling circumference or a traversed angle of the measurement point on the vehicle tire from the detected radial acceleration;
selecting two observation points on the characteristic curve; and,
deriving a peak width of a peak in the characteristic curve from an abscissa spacing of the two observation points.

11. The method of claim 10 , wherein the derivation of the peak width includes forming a derivative of the characteristic curve formed by the radial acceleration versus the time or the traversed rolling circumference or the traversed angle of the measurement point on the vehicle tire.

12. The method of claim 7 , wherein a maximum tangential acceleration within a tire contact patch region and a minimum tangential acceleration within the tire contact patch region are selected as acceleration states, wherein the maximum and the minimum tangential acceleration are determined from at least one of a profile of the detected tangential acceleration weighted and averaged over several tire rotations and a profile of the detected tangential acceleration smoothed in accordance with the floating mean value principle.

13. The method of claim 12 , wherein the derivation of the at least one analytical characteristic variable from the tangential acceleration includes:
forming a characteristic curve versus the time or the traversed rolling circumference or the traversed angle of the measurement point on the vehicle tire from the detected tangential acceleration;
selecting two observation points on the characteristic curve; and,
deriving an x-axis spacing within the characteristic curve from an abscissa spacing of the two observation points.

14. The method of claim 7 , wherein local high points within a tire contact patch region are selected as acceleration states.

15. The method of claim 14 , wherein a further analytical characteristic variable is derived from a change in a radial acceleration versus a time or the traversed rolling circumference or a traversed angle of the measurement point on the vehicle tire.

16. The method of claim 15 , wherein, as a further analytical characteristic variable, a maximum negative change within a tire contact patch region, or a maximu

Assignees

• Continental Reifen Deutschland Gmbh

Inventors

• Cyllik Adrian
• Hahn Carsten
• Lehn Michael
• Volk Heiner

Classifications

• B60C11/246 Primary

  Tread wear monitoring systems · CPC title

• G01G19/086

  wherein the vehicle mass is dynamically estimated · CPC title

• G01G19/027 Primary

  using electrical weight-sensitive devices · CPC title