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.

monitoring

ADAS

tyre/road interaction

Intelligent vehicles

Författare

Seyed Mojtaba Sharifzadeh

Fordonsdynamik

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Fredrik Bruzelius

Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet, 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

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

8932117

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

Intelligent, högprestanda färdbromsmodul för tunga fordon

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

Styrkeområden

Transport

Ämneskategorier

Farkostteknik

Reglerteknik

DOI

10.1109/ICMECT.2019.8932117

Mer information

Senast uppdaterat

2020-07-20