Granted Patent B2

US 12,263,704 · App. 18/053,786 · Granted Apr 1, 2025

Inventors: Kanwar Bharat Singh (Bofferdange, LU); Pieter-Jan Derluyn (Kehlen, LU)

Assignee: The Goodyear Tire & Rubber Company

B60C11/246G01P15/02

Abstract

Claims (49)

1. An irregular wear detection system for a tire supporting a vehicle, the system comprising:

a sensor unit being mounted on the tire, the sensor unit including a footprint centerline length measurement sensor to measure a centerline length of a footprint of the tire;

a processor in electronic communication with the sensor unit, the processor receiving a plurality of measured centerline lengths of the footprint of the tire over time;

an analysis module being stored on the processor, the analysis module receiving the measured centerline lengths as inputs and comparing the measured centerline lengths over time, wherein the analysis module detects irregular wear of the tire based upon the measured centerline lengths remaining the same or increasing; and

an irregular wear determination being generated by the analysis module when the measured centerline lengths remain the same or increase.

2. The irregular wear detection system for a tire supporting a vehicle of claim 1 , wherein the irregular wear detection system further comprises a comparator, the comparator receiving the irregular wear determination and inputs from at least one additional model.

3. The irregular wear detection system for a tire supporting a vehicle of claim 2 , wherein the at least one additional model includes a mileage-based model.

4. The irregular wear detection system for a tire supporting a vehicle of claim 2 , wherein the at least one additional model includes a frictional-energy model.

5. The irregular wear detection system for a tire supporting a vehicle of claim 1 , wherein the processor includes transmission means to transmit the irregular wear determination to at least one of a display device, a service center, a fleet manager and a vehicle control system.

6. The irregular wear detection system for a tire supporting a vehicle of claim 5 , wherein the processor includes transmission means to transmit a recommendation, the recommendation including at least one of checking the inflation pressure of the tire, checking the alignment of a wheel, and rotating a plurality of tires on the vehicle.

7. The irregular wear detection system for a tire supporting a vehicle of claim 1 , wherein the analysis module further comprises a denormalization filter receiving the measured centerline length, a measured pressure of the tire, a measured temperature of the tire, identification information for the tire, and tire construction data as inputs, and generating a normalized footprint length.

8. The irregular wear detection system for a tire supporting a vehicle of claim 7 , wherein the analysis module further comprises a historical footprint measurement database storing a historical log of footprint measurements, the historical footprint measurement database being in electronic communication with the processor, and wherein the normalized footprint length is correlated to the historical log of footprint measurements, and an average of the values is taken.

9. The irregular wear detection system for a tire supporting a vehicle of claim 8 , wherein the analysis module further comprises a time filter, wherein the average of the values is applied to the time filter to account for time-scale decomposition of the tire, the time filter yielding a regularized footprint length for the tire.

10. The irregular wear detection system for a tire supporting a vehicle of claim 9 , wherein the analysis module further comprises a prediction model that receives the regularized footprint length for the tire.

11. The irregular wear detection system for a tire supporting a vehicle of claim 10 , wherein the prediction model includes a non-linear regression model.

12. The irregular wear detection system for a tire supporting a vehicle of claim 1 , further comprising a vehicle-mounted collection unit to collect measurements of a speed of the vehicle and an inertia of the vehicle;

wherein the analysis module receives the speed of the vehicle and the inertia of the vehicle as inputs; and

the analysis module includes an event filter, wherein the speed of the vehicle and the inertia of the vehicle are compared to threshold values before further analysis is performed by the analysis module.

13. The irregular wear detection system for a tire supporting a vehicle of claim 12 , wherein the speed of the vehicle is calculated from global positioning system data and the inertia of the vehicle is measured with an accelerometer.

14. The irregular wear detection system for a tire supporting a vehicle of claim 1 , further comprising a peer comparator that detects an anomaly in trends among regularized footprint lengths of a plurality of similar tires.

15. A method for detecting irregular wear of a tire supporting a vehicle, the method comprising the steps of:

mounting a sensor unit on the tire, the sensor unit including a footprint centerline length measurement sensor;

measuring a centerline length of a footprint of the tire with the footprint centerline length measurement sensor;

providing a processor in electronic communication with the sensor unit;

receiving in the processor a plurality of measured centerline lengths of the footprint of the tire over time;

storing an analysis module on the processor;

receiving the measured centerline lengths in the analysis module as inputs;

comparing the measured centerline lengths over time;

detecting irregular wear of the tire based upon the measured centerline lengths remaining the same or increasing; and

generating an irregular wear determination with the analysis module when the measured centerline lengths remain the same or increase.

16. The method for detecting irregular wear of a tire supporting a vehicle of claim 15 , further comprising the steps of:

providing a comparator; and

receiving in the comparator the irregular wear determination and inputs from at least one additional model.

17. The method for detecting irregular wear of a tire supporting a vehicle of claim 16 , wherein the step of receiving in the comparator the irregular wear determination and inputs from at least one additional model includes receiving inputs from at least one of a mileage-based model and a frictional-energy model.

18. The method for detecting irregular wear of a tire supporting a vehicle of claim 15 , further comprising the steps of:

providing a denormalization filter in the analysis module;

receiving the measured centerline length, a measured tire pressure, a measured tire temperature, identification information for the tire, and tire construction data as inputs in the denormalization filter;

generating a normalized footprint length with the denormalization filter;

storing a historical log of footprint measurements on a historical footprint measurement database being in electronic communication with the processor; and

correlating the normalized footprint length to the historical log of footprint measurements, and taking an average of the values.

19. The method for estimating the wear state of a tire supporting a vehicle of claim 18 , further comprising the steps of:

providing a time filter in the analysis module;

applying the average of the values to the time filter to yield a regularized footprint length for the tire; and

inputting the regularized footprint length into a prediction model.

20. The method for estimating the wear state of a tire supporting a vehicle of claim 15 , further comprising the steps of:

providing a vehicle-mounted collection unit to collect measurements of a speed of the vehicle and an inertia of the vehicle;

receiving the speed of the vehicle and the inertia of the vehicle as inputs into the analysis module;

providing an event filter in the analysis module; and

comparing the speed of the vehicle and the inertia of the vehicle to threshold values with the event filter before performing further analysis with the analysis module.

Assignments (1)

Continuity (2)

References Cited (123)