Tyre Models for Online Identification in ADAS Applications
Paper in proceedings, 2019

Knowledge of the tire-road friction condition is an important key for driver safety and vehicle stability systems during ice and snow road. In particular, friction information can be used to enhance the performance of Advanced Driver-Assistance Systems (ADAS) applications providing real-time forces condition. The paper deals with a method for real-time identification of tyre/road friction condition using both Pacejka model and steady state form of distributed LuGre to obtain the friction based on recursive nonlinear optimization of the curve fitting errors. Finally, the effectiveness of the method is
confirmed by real-time simulations in ice and snow conditions.

ADAS

tyre/road interaction

Intelligent vehicles

monitoring

Author

Seyed Mojtaba Sharifzadeh

Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Vehicle Dynamics

Fredrik Bruzelius

Chalmers, Mechanics and Maritime Sciences, Vehicle Safety, Traffic Safety Data

Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Bengt J H Jacobson

Vehicle Dynamics

Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Adolfo Senatore

University of Salerno

IEEE/ASME Transactions on Mechatronics

1083-4435 (ISSN)

Mechatronics Technology (ICMT), 2019 23rd International Conference on
Salerno, Italy,

Intelligent, high-performance service brake module for heavy vehicles

VINNOVA, 2016-08-01 -- 2020-01-10.

Areas of Advance

Transport

Subject Categories

Vehicle Engineering

Control Engineering

DOI

10.1109/ICMECT.2019.8932117

More information

Created

12/23/2019