Tire wear state estimation system utilizing cornering stiffness and method

Patent metadata

Field	Value
Publication number	US-9428013-B2
Application number	US-201514700264-A
Country	US
Kind code	B2
Filing date	Apr 30, 2015
Priority date	Aug 22, 2013
Publication date	Aug 30, 2016
Grant date	Aug 30, 2016

Abstract

A tire wear state estimation system includes as inputs an axle force estimation, a measured tire inflation pressure; a tire load estimation; a tire cornering stiffness estimation; and a tire identification by which a specific tire-based correlation model correlates tire inflation pressure, the tire load estimation, the tire cornering stiffness estimation, and the vehicle-based sensor axle force estimation.

First claim

What is claimed is:

1. A tire wear state estimation system comprising:
at least one tire supporting a vehicle;
a tire pressure sensor affixed to the at least one tire for measuring a tire inflation pressure;
a tire load sensor affixed to the at least one tire for sensing a tire load;
tire cornering stiffness calculating means for calculating a tire cornering stiffness in the at least one tire;
a tire identification device affixed to the at least one tire for identifying the at least one tire; and
a tire wear estimation means for calculating an estimation of a tire wear state based upon inputs comprising the tire inflation pressure, the tire load, the tire cornering stiffness, and the tire identification;
wherein the tire cornering stiffness calculating means comprises:
at least one on-board vehicle based sensor;
a cornering stiffness estimator model operatively using vehicle information input from the at least one on-board vehicle based sensor;
wherein the tire pressure sensor comprises a tire-mounted pressure measuring device operative to measure by the tire pressure sensor a tire cavity pressure and transmit tire inflation pressure; and
wherein the cornering stiffness estimator model comprises:
an axle force estimator receiving the vehicle information input and operative to generate an axial force component estimation;
a tire slipangle estimator for generating a tire slipangle estimation based on the vehicle information input and the vehicle sideslip angle estimation; and
an axle cornering stiffness estimator for generating an axle cornering stiffness estimation based on the tire slip angle estimation and the axial force component estimation.

2. The tire wear state estimation system of claim 1 , wherein the axle cornering stiffness estimator comprises a recursive least squares algorithm with forgetting factor based on a polynomial model capturing a dependency between axle force component estimation and the tire slip angle estimation.

3. The tire wear state estimation system of claim 1 , further comprising a vehicle sideslip angle estimator operative to generate a vehicle sideslip angle estimation from the axial force component estimation, the tire slip angle estimator generating the tire slip angle estimation based on the vehicle slip angle estimation and the axial force component estimation.

4. The tire wear state estimation system of claim 1 , wherein the tire slip angle estimator comprises a sliding mode observer for non-linear systems.

5. A tire wear state estimation system comprising:
a tire supporting a vehicle;
a tire-mounted pressure sensor device affixed to the tire operative to measure a tire pressure within a tire cavity of the tire;
a tire identification device mounted to the at least one tire for providing tire-identification data;
a tire-mounted sensor-based load estimator for estimating a tire load;
a tire cornering stiffness calculation means for calculating a tire cornering stiffness; and tire wear estimation means for calculating an estimation of a tire wear state based upon inputs comprising the tire pressure, the tire load, the tire cornering stiffness, and the tire-identification data;
wherein the tire cornering stiffness calculation means comprises a cornering stiffness estimator model operatively using vehicle information input from at least one on-board vehicle based sensor generating vehicle operational information; and the cornering stiffness estimator model comprises an axle force estimator receiving the vehicle operational information and operative to generate an axial force component estimation based on the vehicle operational information.

6. The tire wear estimation system of claim 5 , wherein further comprising:
a vehicle side slip angle estimator for generating a vehicle side slip angle estimation;
a tire slip angle estimator for generating a tire slip angle estimation based on the vehicle information input and the vehicle side slip angle estimation; and
an axle cornering stiffness estimator for generating an axle cornering stiffness estimation based on the tire slip angle estimation and the axial force component estimation.

7. The tire wear state estimation system of claim 6 , wherein the axle cornering stiffness estimator comprises a recursive least squares algorithm with forgetting factor based on a polynomial model capturing a dependency between axle force component estimation and the tire slip angle estimation.

8. 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 inflation pressure within a tire cavity of the vehicle-supporting tire;
calculating a tire load on the vehicle-supporting tire using a tire-affixed load sensor;
calculating a tire cornering stiffness in the vehicle-supporting tire;
determining a tire identification; and
estimating a tire wear state based upon inputs comprising the tire inflation pressure, the tire load, the tire cornering stiffness, and the tire identification; and
wherein calculating the tire cornering stiffness comprises:
utilizing an axle force estimator receiving vehicle information input from at least one vehicle-based sensor and operative to generate an axial force component estimation;
utilizing a vehicle side slip angle estimator to generate a vehicle side slip angle estimation;
utilizing a tire slip angle estimator for generating a tire slip angle estimation based on the vehicle information input and a vehicle side slip angle estimation; and
utilizing an axle cornering stiffness estimator for generating an axle cornering stiffness estimation based on the tire slip angle estimation and the axial force component estimation.

9. The method of claim 8 , wherein further comprising utilizing in the axle cornering stiffness estimator a recursive least squares algorithm with forgetting factor based on a polynomial model capturing a dependency between axle force component estimation and the tire slip angle estimation.

Assignees

• Goodyear Tire & Rubber

Inventors

• Singh Kanwar Bharat

Classifications

• B60C11/246 Primary

  Tread wear monitoring systems · CPC title