Tire sensor-based vehicle state estimation system and method

Patent metadata

Field	Value
Publication number	US-2017010184-A1
Application number	US-201514794035-A
Country	US
Kind code	A1
Filing date	Jul 8, 2015
Priority date	Jul 8, 2015
Publication date	Jan 12, 2017
Grant date	—

Abstract

A vehicle state estimation system and method uses an observer model to make cornering stiffness estimates from tire-based sensor data and vehicle-based sensor data throughout transient and non-transient operational maneuvers of a vehicle. A cornering stiffness identifier extracts transient-state cornering stiffness estimates from the cornering stiffness estimates made by the observer model and extracts from the transient-state cornering stiffness estimates an optimal transient-state cornering stiffness estimate having a substantially highest confidence measure for use by a vehicle control system.

First claim

What is claimed is:

1 . A vehicle state estimation system comprising:
a vehicle supported by at least one tire, the vehicle operating in transient maneuver states or non-transient maneuver states throughout operational maneuvers of the vehicle; at least one tire-based sensor mounted to the at least one tire and operative to generate tire-based sensor data; at least one vehicle-based sensor mounted to the vehicle and operative to generate vehicle-based sensor data; an observer model operative to make cornering stiffness estimates from the tire-based sensor data and the vehicle-based sensor data throughout the operational maneuvers of the vehicle; and a cornering stiffness identifier operative to extract and output transient-state cornering stiffness estimates from the observer model cornering stiffness estimates throughout the operational maneuvers of the vehicle.

2 . The vehicle state estimation system of claim 1 , wherein the cornering stiffness identifier is operative to extract from the transient-state cornering stiffness estimates an optimal transient-state cornering stiffness estimate having a substantially highest confidence measure.

3 . The vehicle state estimation system of claim 2 , wherein the tire-based sensor data comprises at least a pressure measurement of tire inflation pressure and a temperature measurement of tire temperature.

4 . The vehicle state estimation system of claim 2 , wherein further comprising a tire load estimator for operatively estimating a vertical force on the at least one tire from the tire-based sensor data.

5 . The vehicle state estimation system of claim 4 , wherein further comprising an inertial parameter generator operative to output to the observer model a substantially real-time update of vehicle inertial parameters derived from the vertical force estimation.

6 . The vehicle state estimation system of claim 5 , wherein the at least one tire is mounted to an axle, and the vehicle state estimation system further comprising an axle force estimator operative to estimate from the vehicle inertial parameters and the vehicle-based sensor data an axle lateral force estimation on the axle and output the axle lateral force estimation to the observer model.

7 . The vehicle state estimation system of claim 2 , wherein the observer model comprises a discrete-time unscented Kalman filter.

8 . The vehicle state estimation system of claim 2 , wherein further comprising a vehicle sideslip angle estimator operative to generate a sideslip angle estimation.

9 . The vehicle state estimation system of claim 2 , wherein further comprising a vehicle control unit receiving as an input the optimal transient-state cornering stiffness estimate from the cornering stiffness identifier.

10 . The vehicle state estimation system of claim 9 , wherein the vehicle control unit receives as a further input a sideslip angle estimation made by the sideslip angle estimator.

11 . A vehicle state estimation system comprising:
a vehicle supported by at least one tire mounted to an axle, the vehicle operating in transient maneuver states or non-transient maneuver states throughout operational maneuvers of the vehicle; at least one tire-based sensor mounted to the at least one tire and operative to generate tire-based sensor data; at least one vehicle-based sensor mounted to the vehicle and operative to generate vehicle-based sensor data; a tire load estimator for operatively estimating a vertical force estimation on the at least one tire from the tire-based sensor data; an inertial parameter generator operative to output a substantially real-time update of vehicle inertial parameters derived from the vertical force estimation; an axle force estimator operative to estimate from the vehicle inertial parameters and the vehicle-based sensor data an axle lateral force estimation on the axle; an observer model operative to make cornering stiffness estimates from the vehicle-based sensor data, the vehicle inertial parameters, and the axle lateral force estimation on the axle throughout the operational maneuvers of the vehicle; and a cornering stiffness identifier operative to extract and output transient-state cornering stiffness estimates from the observer model cornering stiffness estimates throughout the operational maneuvers of the vehicle and wherein the cornering stiffness identifier is further operative to extract from the transient-state cornering stiffness estimates an optimal transient-state cornering stiffness estimate having a substantially highest confidence measure.

12 . The vehicle state estimation system of claim 11 , wherein the observer model comprises a discrete-time unscented Kalman filter.

13 . The vehicle state estimation system of claim 11 , wherein the system further comprises a sideslip angle estimator operative to generate a sideslip angle estimation.

14 . The vehicle state estimation system of claim 11 , wherein further comprising a vehicle control unit receiving as an input the optimal transient-state cornering stiffness estimate from the cornering stiffness identifier.

15 . The vehicle state estimation system of claim 14 , wherein the vehicle control unit receives as a further input a sideslip angle estimation made by the sideslip angle estimator.

16 . A vehicle state estimation method comprising:
supporting a vehicle by at least one tire, the vehicle operating in transient maneuver states or non-transient maneuver states throughout operational maneuvers of the vehicle; mounting at least one tire-based sensor to the at least one tire operative to generate tire-based sensor data; mounting at least one vehicle-based sensor to the vehicle operative to generate vehicle-based sensor data; generating cornering stiffness estimates from an observer model based upon the tire-based sensor data and the vehicle-based sensor data throughout the operational maneuvers of the vehicle; and extracting a plurality of extracted output transient-state cornering stiffness estimates from the observer model through a cornering stiffness identifier throughout the operational maneuvers of the vehicle.

17 . The vehicle state estimation method of claim 16 , further comprising extracting from the extracted transient-state cornering stiffness estimates an optimal transient-state cornering stiffness estimate having a substantially highest confidence measure.

18 . The vehicle state estimation method of claim 17 , further comprising:
estimating a vertical force on the at least one tire from the tire-based sensor data; generating a plurality of vehicle inertial parameters from the vertical force estimation; updating the vehicle inertial parameters in substantially real-time throughout the vehicle operational maneuvers; inputting the updated vehicle inertial parameters to the observer model.

19 . The vehicle state estimation system of claim 17 , wherein further comprising using the optimal transient-state cornering stiffness estimate in a vehicle control unit.

20 . The vehicle state estimation system of claim 19 , wherein further comprising:
generating a sideslip angle estimation with a sideslip angle estimator model; using the sideslip angle estimation by the vehicle control unit.

Assignees

• Goodyear Tire & Rubber

Inventors

• Singh Kanwar Bharat

Classifications

• B60C2019/004

  Tyre sensors other than for detecting tyre pressure · CPC title

• B60C19/00

  Tyre parts or constructions not otherwise provided for · CPC title

• G01M17/02

  Tyres · CPC title

• G01M17/00 Primary

  Testing of vehicles (testing fluid tightness G01M3/00; testing elastic properties of bodies or chassis, e.g. torsion-testing, G01M5/00; testing alignment of vehicle headlight devices G01M11/06; testing of engines G01M15/00) · CPC title

• G01M17/022 Primary

  the tyre co-operating with rotatable rolls · CPC title