Torsional mode tire wear state estimation system and method

Patent metadata

Field	Value
Publication number	US-9259976-B2
Application number	US-201313964307-A
Country	US
Kind code	B2
Filing date	Aug 12, 2013
Priority date	Aug 12, 2013
Publication date	Feb 16, 2016
Grant date	Feb 16, 2016

Abstract

A tire wear state estimation system includes a tire pressure measuring device affixed to a vehicle tire for measuring tire inflation pressure and generating tire inflation pressure data; tire torsional mode measuring means for measuring tire torsional mode frequency and generating tire torsional mode frequency data; and tire identification means for generating tire-specific torsional mode coefficients using tire-specific identification data. A tire wear estimation is made based upon the tire inflation pressure data, the torsional mode frequency data, and the tire identification derived torsional mode coefficients.

First claim

What is claimed is:

1. A tire wear state estimation system comprising:
at least one tire supporting a vehicle;
tire pressure measuring means affixed to the one tire for measuring tire inflation pressure and generating tire inflation pressure data;
tire torsional mode measuring means for measuring tire torsional mode frequency and generating tire torsional mode frequency data;
tire identification means mounted to the one tire operably utilized in generating tire-specific frequency mode coefficients using tire-specific identification data; and
tire wear estimation means for calculating an estimation of a tire wear state based upon the tire inflation pressure data and a spectral analysis of the torsional mode frequency data employing the tire-specific frequency mode coefficients.

2. The tire wear state estimation system of claim 1 , wherein the tire pressure measuring means comprises a tire-mounted pressure measuring device operative to measure by a pressure sensor a tire cavity pressure and transmit the tire inflation pressure data from the tire cavity pressure measurement.

3. The tire wear state estimation system of claim 2 , wherein the tire-specific identification data is stored within and accessible from the tire-mounted pressure measuring device.

4. The tire wear state estimation system of claim 3 , wherein the tire-specific torsional frequency mode coefficients are generated using a wheel speed signal or a hub mounted accelerometer sensor signal.

5. The tire wear state estimation system of claim 4 , wherein the measurement of the tire torsional mode frequency is from a wheel-mounted accelerometer or a tire crown-mounted accelerometer.

6. The tire wear state estimation system of claim 4 , wherein the tire wear estimation means comprises a correlation model between the tire wear state and the tire torsional mode frequency.

7. The tire wear state estimation system of claim 6 , wherein the correlation model comprises a recursive least squares algorithm based on a polynomial model capturing a dependency between a wear state of the tire, the tire inflation pressure data and the tire torsional mode frequency.

8. The tire wear state estimation system of claim 1 , wherein the tire wear estimation means comprises a correlation model between the tire wear state and the tire torsional mode frequency.

9. The tire wear state estimation system of claim 8 , wherein the correlation model comprises a recursive least squares algorithm based on a polynomial model capturing a dependency between the tire wear state, the tire inflation pressure data, and the tire torsional mode frequency.

10. A tire wear state estimation system comprising:
at least one tire for supporting a vehicle;
a tire-mounted pressure measuring device affixed to the one tire operative to measure a tire cavity pressure and transmit tire inflation pressure data from the tire cavity pressure measurement;
tire-specific identification data stored within and accessible from a tire-mounted data storage device;
tire torsional mode measuring means for measuring tire torsional mode frequency and generating tire torsional mode frequency data;
tire identification means mounted to the one tire operably utilized in generating tire-specific torsional mode frequency coefficients using the tire-specific identification data and wheel speed signal or longitudinal acceleration signal measurement of a tire torsional mode frequency; and
tire wear estimation means for calculating an estimation of a tire wear state based upon the tire inflation pressure data and a spectral analysis of the tire torsional mode frequency data utilizing the tire-specific torsional mode coefficients.

11. The tire wear state estimation system of claim 10 , wherein the measurement of the tire torsional mode frequency is from a wheel-mounted accelerometer or a tire crown-mounted accelerometer.

12. The tire wear state estimation system of claim 10 , wherein the tire wear estimation means comprises a correlation model between the tire wear state and the tire torsional mode frequency.

13. The tire wear state estimation system of claim 12 , wherein the correlation model comprises a recursive least squares algorithm based on a polynomial model capturing a dependency between a wear state of the tire, the tire inflation pressure data and the tire torsional mode frequency.

14. A method of tire wear state estimation comprising:
affixing a tire pressure measuring device to a vehicle-supporting tire, the pressure measuring device having at least one pressure sensor measuring a tire cavity inflation pressure and generating tire inflation pressure data;
measuring tire torsional mode frequency and generating tire torsional mode frequency data;
affixing a tire-specific identification device to the vehicle-supporting tire operable to provide tire-specific identification data:
generating tire-specific torsional mode coefficients based on the tire-specific identification data; and
calculating an estimation of a tire wear state based upon the tire inflation pressure data and a spectral analysis of the measured torsional mode frequency data utilizing the tire-specific frequency mode coefficients based on the tire-specific identification data.

15. The method of claim 14 , wherein further comprising generating the tire-specific torsional mode coefficients using a wheel speed signal or a longitudinal acceleration signal measurement of a tire torsional mode frequency.

16. The method of claim 15 , wherein further comprising measuring the tire torsional mode frequency from a wheel-mounted accelerometer or a tire crown-mounted accelerometer.

17. The method of claim 14 wherein calculating an estimation of the tire wear state comprises employing a correlation model between the tire wear state and the tire torsional mode frequency.

18. The method of claim 17 , wherein further comprising configuring the correlation model to comprise a recursive least squares algorithm based on a polynomial model capturing a dependency between the tire wear state, the tire inflation pressure data and the tire torsional mode frequency.

Assignees

• Goodyear Tire & Rubber

Inventors

• Singh Kanwar Bharat
• Luk Yiu Wah
• Parsons Anthony William

Classifications

• B60C11/246

  Tread wear monitoring systems · CPC title

• B60C23/0408 Primary

  transmitting the signals by non-mechanical means from the wheel or tyre to a vehicle body mounted receiver · CPC title