Tyre Models for Online Identification in ADAS Applications
Paper i 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
Författare
Seyed Mojtaba Sharifzadeh
Fordonsdynamik
Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system
Fredrik Bruzelius
Trafiksäkerhetsdata
Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system
Bengt J H Jacobson
Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system
Fordonsdynamik
Adolfo Senatore
Universita degli Studi di 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, högprestanda färdbromsmodul för tunga fordon
VINNOVA (2016-02538), 2016-08-01 -- 2020-01-10.
Styrkeområden
Transport
Ämneskategorier
Farkostteknik
Reglerteknik
DOI
10.1109/ICMECT.2019.8932117