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Stochastic models for tyre force estimation: An overview about recent developments and trends
Author(s)
Hartung, C.
Nuthong, C.
Svaricek, F.
Date Issued
January 1, 2010
Type
Conference Paper
Abstract
Friction forces between the road and the tires of a vehicle represent a key technology for modern vehicle control systems. Unfortunately, these forces are difficult to measure, so that these signals have to be estimated by common sensors of series production vehicles (e.g. accelerations, wheel speeds and yaw rate) and tire friction models. A lot of research effort has been done in this area and various analytical and semi-empirical models are proposed in the literature. To reduce the corresponding identification efforts of several specific model parameters, stochastic tire models are proposed as an interesting alternative. In this article, an overview of recent developments and trends in stochastic tire modeling and estimation methods is given. Furthermore, some representive results of two tire-road friction estimation methods (extended Kalman filter (EKF) and unscented Kalman filter (UKF) with field test data are presented. © 2010 IFAC.
Citation
IFAC Proceedings Volumes IFAC Papersonline, 43(7), 610-615, 2010