An effective Tyre to Road Friction Estimation Applied to Heavy Vehicles
Artikel i vetenskaplig tidskrift, 2023
Knowledge about the tyre to road friction is central to many vehicle functions as well as the overall performance of the vehicle. In this paper, a new real-time algorithm is presented for estimating the coefficient of friction using available on-board sensor information. A computationally efficient algorithm is presented, that reduces resources usage compared to previously published approaches. Issues connected to heavy vehicles and friction estimation is addressed, such as wind up of hub assembly and vehicle speed sensing. The performance of the algorithm is illustrated on data sets acquired from the test track recordings in winter conditions.
Författare
Seyed Mojtaba Sharifzadeh
Fondazione Bruno Kessler (FBK)
Fredrik Bruzelius
Fondazione Bruno Kessler (FBK)
Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system
Bengt J H Jacobson
Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system
Leon Henderson
Volvo Group
Francesco Timpone
Universita degli Studi di Napoli Federico II
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
0954-4070 (ISSN) 2041-2991 (eISSN)
Vol. 237 14 3547-3558Intelligent, högprestanda färdbromsmodul för tunga fordon
VINNOVA (2016-02538), 2016-08-01 -- 2020-01-10.
Ämneskategorier
Tribologi
Energiteknik
Farkostteknik
Styrkeområden
Transport
DOI
10.1177/09544070221134197