Browse Publications Technical Papers 960181
1996-02-01

Nonlinear Tire Force Estimation and Road Friction Identification: Field Test Results 960181

This paper examines the application of extended Kalman filtering (EKF) and Bayesian hypothesis selection to estimating vehicle motion, tire forces, and road coefficient of friction The EKF estimates vehicle state and tire forces from an incomplete, noise corrupted measurement set without requiring a-priori knowledge of road conditions or tire forces State and tire force estimates are used in the hypothesis selection procedure along with a nominal tire model to determine the most likely road coefficient of friction The paper presents results of applying these estimation techniques to field test data The methods presented have application to both off-line construction of tire models and development of vehicle control systems

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Preview Document Add to Cart
Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
JOURNAL ARTICLE

Estimation of Lateral Tire Force from Objective Measurement Data for Handling Analysis

2013-01-0060

View Details

TECHNICAL PAPER

Estimation of Friction Levels Between Tire and Road

2002-01-1198

View Details

STANDARD

Laboratory Testing Machines for Measuring the Steady State Force And Moment Properties of Passenger Car Tires

J1106_201208

View Details

X