Tyre Models for Online Identification in ADAS Applications
Paper in proceeding, 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.
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 (M2), Vehicle Engineering and Autonomous Systems
Fredrik Bruzelius
Traffic Safety Data
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Bengt J H Jacobson
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Vehicle Dynamics
Adolfo Senatore
University of Salerno
2019 23rd International Conference on Mechatronics Technology, ICMT 2019
8932117
978-1-7281-3998-2 (ISBN)
2019 23rd International Conference on Mechatronics Technology (ICMT)
Salerno, Italy,
Salerno, Italy,
Intelligent, high-performance service brake module for heavy vehicles
VINNOVA (2016-02538), 2016-08-01 -- 2020-01-10.
Areas of Advance
Transport
Subject Categories
Vehicle Engineering
Control Engineering
DOI
10.1109/ICMECT.2019.8932117