Method of tire state estimation through wheel speed signal feature extraction

• US 9,610,810 B1
• Filed: 10/21/2015
• Issued: 04/04/2017
• Est. Priority Date: 10/21/2015
• Status: Active Grant

• Current Assignee: Goodyear Tire & Rubber Company
• Original Assignee: Goodyear Tire & Rubber Company
• Inventors: Singh, Kanwar Bharat
• Primary Examiner(s): Tarcza, Thomas
• Assistant Examiner(s): Dunn, Alex C
• Application Number:
  US14/919,103
• Publication Number:
  US 20170113499A1
• Time in Patent Office: 531 Days
• CPC Class Codes: B60C 11/246 Tread wear monitoring systems
• CPC Class Codes: B60C 19/00 Tyre parts or constructions not otherwise provided for
• CPC Class Codes: B60C 2019/004 Tyre sensors other than for detecting tyre pressure
• CPC Class Codes: B60C 23/0408 transmitting the signals by non-mechanical means from the wheel or tyre to a vehicle body mounted receiver
• CPC Class Codes: B60C 23/0415 Automatically identifying wheel mounted units, e.g. after replacement or exchange of wheels
• CPC Class Codes: B60C 23/0486 comprising additional sensors in the wheel or tyre mounted monitoring device, e.g. movement sensors, microphones or earth magnetic field sensors
• CPC Class Codes: B60C 23/0488 Movement sensor, e.g. for sensing angular speed, acceleration or centripetal force
• CPC Class Codes: G06F 16/23 Updating

Abstract

A method for estimating a tire state, such as tire wear state, includes utilizing a vehicle-based sensor for measuring a wheel speed of the tire and generating a wheel speed signal, extracting through statistical analysis a first extracted feature such as slip-ratio rate from the wheel speed signal, extracting through statistical analysis a second extracted feature such as median slip-ratio from the wheel speed signal, classifying data from the first extracted feature and data from the second extracted feature using a support vector data classification algorithm and applying the algorithm to estimate the tire state.

Claims

1. A method for estimating the wear state of a tire supported by a wheel and supporting a vehicle, the method comprising:

providing a vehicle-based sensor;

measuring a wheel speed of the wheel supporting the tire with the vehicle-based sensor;

generating a wheel speed signal from the measured wheel speed;

communicating the measured wheel speed to a processor;

extracting a median slip-ratio of the tire from the wheel speed signal with a processor, the median slip-ratio operably changing with a change in the tire state;

extracting a slip-ratio rate of the tire from the wheel speed signal with a processor, the slip-ratio rate operably changing with a change in the tire state;

classifying data from the median slip-ratio and data from the slip-ratio rate with a data classifier that includes a support vector data classification algorithm;

indirectly estimating the tire wear state by applying the algorithm; and

outputting the estimated tire wear state to a vehicle operating system.

2. The method of claim 1, further comprising:

measuring at least one tire parameter;

applying the at least one tire parameter measurement to adapt the support vector data classification algorithm; and

applying the adapted algorithm to estimate the tire state.

3. The method of claim 2, further comprising using a tire-mounted device to measure the at least one tire parameter.

4. The method of claim 2, wherein the at least one tire parameter is from a tire parameter group including tire temperature, tire inflation pressure and tire construction characteristics.

5. The method of claim 1, further comprising deriving the median slip-ratio of the tire and the slip-ratio rate of the tire from a statistical analysis of the wheel speed signal.

6. A method for estimating the wear state of a tire supported by a wheel and supporting a vehicle, the method comprising:

providing a vehicle-based sensor;

measuring a wheel speed of the wheel supporting the tire with the vehicle-based sensor;

generating a wheel speed signal from the measured wheel speed;

communicating the measured wheel speed to a processor;

extracting a median slip-ratio of the tire from the wheel speed signal with a processor, the median slip-ratio operably changing with a change in the tire state;

extracting a slip-ratio rate of the tire from the wheel speed signal with a processor, the slip-ratio rate operably changing with a change in the tire state;

classifying data from the median slip-ratio and data from the slip-ratio rate with a data classifier that includes a support vector data classification algorithm;

measuring at least one tire parameter;

applying the at least one tire parameter measurement to adapt the support vector data classification algorithm;

indirectly estimating the tire wear state by applying the adapted support vector data classification algorithm; and

outputting the estimated tire wear state to a vehicle operating system.

7. The method of claim 6, further comprising using a tire-mounted device to measure the at least one tire parameter.

8. The method of claim 7, wherein the at least one tire parameter is from a tire parameter group including tire temperature, tire inflation pressure and tire construction characteristics.

9. The method of claim 6, further comprising deriving the median slip-ratio of the tire and the slip-ratio rate of the tire from a statistical analysis of the wheel speed signal.