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.

monitoring

ADAS

tyre/road interaction

Intelligent vehicles

Author

Seyed Mojtaba Sharifzadeh

Vehicle Dynamics

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

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

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

Vehicle Dynamics

Adolfo Senatore

University of Salerno

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

8932117

2019 23rd International Conference on Mechatronics Technology (ICMT)
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

Latest update

7/20/2020