TIRE LIFT-OFF PROPENSITY PREDICTIVE SYSTEM AND METHOD

• US 20160161373A1
• Filed: 12/03/2014
• Published: 06/09/2016
• Est. Priority Date: 12/03/2014
• Status: Abandoned Application

• Current Assignee: Goodyear Tire & Rubber Company
• Original Assignee: Goodyear Tire & Rubber Company
• Inventors: Singh, Kanwar Bharat, Parsons, Anthony William, Engel, Marc
• Application Number:
  US14/558,783
• Publication Number:
  US 20160161373A1
• Time in Patent Office: Days
• CPC Class Codes: B60C 11/243 Tread wear sensors, e.g. electronic sensors
• 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 23/04 mounted on the wheel or tyre
• CPC Class Codes: B60C 23/0488 Movement sensor, e.g. for sensing angular speed, acceleration or centripetal force
• CPC Class Codes: B60C 23/06 Signalling devices actuated by deformation of the tyre , e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle
• CPC Class Codes: B60C 23/061 by monitoring wheel speed measuring distance traversed on the ground by vehicles G01C22/00
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 30/04 related to roll-over prevention
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: G01M 17/02 Tyres

Abstract

A system for predicting tire lift-off propensity of a vehicle tire includes a vehicle tire-affixed tire-identification device for providing a tire-specific identification, multiple tire-affixed sensors mounted to the tire measuring tire-specific parameters and generating tire-specific parameter information, one or more vehicle-affixed sensor(s) mounted to the vehicle to measure vehicle speed and a lift-off propensity estimator generating a lift-off propensity for the vehicle tire from a database containing experimentally-derived, tire-ID specific, lift-off propensities correlated with measured tire-specific parameter information and vehicle speeds.

Claims

1. A lift-off propensity predictive system comprising:

a vehicle supported by at least one vehicle tire mounted to a hub, the vehicle tire having a tire cavity and a ground-engaging tread, and the tire having a plurality of tire-specific measureable parameters;

a tire-affixed tire-identification device for providing a tire-specific identification;

a plurality of tire-affixed sensors mounted to the tire operably measuring the tire-specific parameters and generating tire-specific parameter information;

at least one vehicle-affixed sensor mounted to the vehicle operably measuring vehicle speed;

a lift-off propensity estimator operable to generate a lift-off propensity for the one vehicle tire from a database containing experimentally-derived, tire-ID specific, lift-off propensities correlated to measured tire-specific parameter information and measured vehicle speeds.

2. The lift-off propensity predictive system for a tire according to claim 1, wherein the tire-specific parameter information is from the group:

a load estimation for the one vehicle tire;

air pressure within a cavity of the one vehicle tire; and

a wear estimation for a tread region of the one vehicle tire.

3. The lift-off propensity predictive system according to claim 2, wherein the load estimation operably calculates a load estimation based upon a vehicle-based hub accelerometer signal.

4. The lift-off propensity predictive system of claim 1, wherein the lift-off propensity substantially continuously updated during an movement of the vehicle.

5. The lift-off propensity predictive system of claim 4, wherein the updated lift-off propensity is operably utilized in at least one control system of the vehicle.

6. The lift-off propensity predictive system of claim 5, wherein the at least one control system of the vehicle comprises vehicle speed control.

7. A lift-off propensity predictive system comprising:

a vehicle supported by at least one vehicle tire mounted to a hub, the vehicle tire having a tire cavity and a ground-engaging tread, and the tire having a plurality of tire-specific measureable parameters;

a tire-affixed tire-identification device for providing a tire-specific identification;

a plurality of tire-affixed sensors mounted to the tire operably measuring the tire-specific parameters and generating tire-specific parameter information, the tire-specific parameter information including;

a load estimation for the one vehicle tire, air pressure within a cavity of the one vehicle tire and a wear estimation for a tread region of the one vehicle tire;

at least one vehicle-affixed sensor mounted to the vehicle operably measuring vehicle speed;

a lift-off propensity estimator operable to generate a lift-off propensity for the one vehicle tire from a database containing experimentally-derived, tire-ID specific, lift-off propensities correlated to measured tire-specific parameter information and measured vehicle speeds.

8. The tire slip angle estimator according to claim 7, wherein the load estimation input into the model-based tire slip angle estimator operably calculates a load estimation based upon a vehicle-based hub accelerometer signal.

9. The lift-off propensity predictive system of claim 7, wherein the lift-off propensity is substantially continuously updated during travel of the vehicle.

10. The lift-off propensity predictive system of claim 9, wherein the updated lift-off propensity is operably utilized in at least one control system of the vehicle.

11. The lift-off propensity predictive system of claim 10, wherein the at least one control system of the vehicle is a vehicle speed control system.

12. A method of making a lift-off propensity estimation comprising:

mounting at least one vehicle tire to a vehicle, the vehicle tire having a tire cavity and a ground-engaging tread, and the tire having a plurality of tire-specific measureable parameters;

affixing to the one vehicle tire a tire identification device providing a tire-specific identification;

affixing at least one vehicle-affixed sensor to the vehicle operably measuring vehicle speed;

mounting a plurality of tire-affixed sensors to the tire operably measuring the tire-specific parameters to generate tire-specific parameter information;

inputting the tire-specific parameter information and the tire-specific identification and the vehicle speed into a lift-off propensity estimator;

generating a lift-off propensity estimation from lift-off propensity estimator from a database containing experimentally-derived, tire-ID specific, lift-off propensities correlated to measured tire-specific parameter information and measured vehicle speeds.

13. The method according to claim 12, wherein further comprising including within the tire-specific parameter information a load estimation for the one vehicle tire, air pressure within a cavity of the one vehicle tire and a wear estimation for a tread region of the one vehicle tire.

14. The method according to claim 13, wherein further comprising utilizing a vehicle-based accelerometer signal to generate the load estimation for the one vehicle tire.

15. The method according to claim 12, further comprising substantially continuously updating the lift-off estimation during an operation of the vehicle to adjust for changes in the tire-specific information.

16. The method according to claim 15, further comprising using the updated lift-off estimation in at least one control system of the vehicle.

17. The method according to claim 16, wherein the at least one control system comprises a vehicle speed control system.