Granted Patent B2

US 12,344,049 · App. 18/503,607 · Granted Jul 1, 2025

Inventors: Kanwar Bharat Singh (Copley, OH); Sparsh Sharma (Luxembourg, LU)

Assignee: The Goodyear Tire & Rubber Company

B60C23/0416G07C5/008

Abstract

Claims (26)

1. An auto-location system, the system locating a position of a tire supporting a vehicle, the system comprising:

a tire sensor unit being mounted on the tire, the tire sensor unit including a footprint length measurement sensor to measure a length of a footprint of the tire, and electronic memory capacity to store identification information for the tire sensor unit;

a vehicle sensor unit being mounted on the vehicle, the vehicle sensor unit measuring a lateral acceleration of the vehicle and a longitudinal acceleration of the vehicle;

a processor in electronic communication with the tire sensor unit and the vehicle sensor unit, the processor receiving the measured footprint length, the identification information, the lateral acceleration, and the longitudinal acceleration;

a virtual footprint length estimator executed on the processor, the footprint length estimator employing the lateral acceleration and the longitudinal acceleration to estimate a virtual footprint length of the tire;

a correlation module executed on the processor, the correlation module receiving the virtual footprint length and the measured footprint length to generate correlation values; and

a decision arbitrator executed on the processor, the decision arbitrator applying a set of decision rules to the correlation values to generate a wheel position indication that correlates the tire sensor unit to a position of the tire on the vehicle.

2. The auto-location system of claim 1 , wherein the virtual footprint length estimator executes a vehicle dynamics model in which the model receives the lateral acceleration and the longitudinal acceleration as inputs and generates an estimate of lateral and longitudinal load transfer of the vehicle and an estimate of tire load.

3. The auto-location system of claim 2 , wherein the virtual footprint length of the tire is estimated with a regression model once the estimate of tire load is generated.

4. The auto-location system of claim 1 , wherein the correlation module correlates a set of virtual footprint lengths with a corresponding set of measured footprint lengths for each tire on the vehicle.

5. The auto-location system of claim 1 , wherein the correlation values are stored in a correlation matrix.

6. The auto-location system of claim 1 , wherein the decision rules include a plurality of rules, and the decision arbitrator applies the decision rules in sequence.

7. The auto-location system of claim 6 , wherein the decision rules include a first rule that identifies left side positions on the vehicle and right side positions on the vehicle.

8. The auto-location system of claim 7 , wherein the decision arbitrator compares a virtual footprint length for a front left position and a virtual footprint length for a rear left position to measured footprint lengths in the correlation values.

9. The auto-location system of claim 8 , wherein tire sensor units generating measured footprint lengths that yield a positive correlation with the virtual footprint length for the front left position and the virtual footprint length for the rear left position are designated as left side positions.

10. The auto-location system of claim 7 , wherein the decision arbitrator compares a virtual footprint length for a front right position and a virtual footprint length for a rear right position to measured footprint lengths in the correlation values.

11. The auto-location system of claim 10 , wherein tire sensor units generating measured footprint lengths that yield a positive correlation with the virtual footprint length for the front right position and the virtual footprint length for the rear right position are designated as right side positions.

12. The auto-location system of claim 7 , wherein the decision rules include a second rule that differentiates between a front left position and a rear left position.

13. The auto-location system of claim 12 , wherein the decision arbitrator compares a virtual footprint length for the front left position and a virtual footprint length for the rear left position to measured footprint lengths of the left side positions.

14. The auto-location system of claim 13 , wherein the decision arbitrator executes a first estimate among the correlation values to identify the tire mounted in at least one of the front left position and the rear left position.

15. The auto-location system of claim 14 , wherein the decision arbitrator executes a second estimate among the correlation values to identify the tire mounted in at least one of the front left position and the rear left position.

16. The auto-location system of claim 7 , wherein the decision rules include a third rule that differentiates between a front right position and a rear right position.

17. The auto-location system of claim 16 , wherein the decision arbitrator compares a virtual footprint length for the front right position and a virtual footprint length for the rear right position to measured footprint lengths of the right side positions.

18. The auto-location system of claim 17 , wherein the decision arbitrator executes a first estimate among the correlation values to identify the tire mounted in at least one of the front right position and the rear right position.

19. The auto-location system of claim 18 , wherein the decision arbitrator executes a second estimate among the correlation values to identify the tire mounted in at least one of the front right position and the rear right position.

20. The auto-location system of claim 1 , wherein the processor is located in at least one of the vehicle and a cloud-based server.

Assignments (1)

Continuity (2)

References Cited (123)