DocumentCode :
3174404
Title :
Adherence control for electric vehicles on varying road conditions
Author :
Geamanu, Marcel Stefan ; Mounier, Hugues ; Niculescu, Silviu-Iulian ; Cela, Arben ; LeSolliec, Guenael
Author_Institution :
Lab. des Signaux et Syst. (L2S), Supelec, Gif-sur-Yvette, France
fYear :
2013
fDate :
25-28 June 2013
Firstpage :
1404
Lastpage :
1410
Abstract :
The present paper describes a torque saturation control technique applied on vehicular control, operating on time-varying tire-road adherence conditions and with noise perturbation. The method is based on an instantaneous estimation of the maximum available friction using the Dugoff tire model. The novelty lies in the modeling of the road conditions, which are regarded as continuous variables. A “dynamic” Pacejka model is built around the classical Pacejka model, giving a more realistic approach of the tire-road interaction. The implemented estimation method has to adapt to all the parameter changes, to produce a reliable maximum friction on which the control will be applied. The complex modeling of the road conditions will be enlarged with a noise perturbation, to test our method´s robustness, which represents the objective of the present work. At the same time, the vehicle is considered to be equipped with “in-wheel” electrical motors, which provide a quick transmission of the torque directly at the wheel.
Keywords :
electric motors; electric vehicles; machine control; time-varying systems; tyres; Dugoff tire; adherence control; dynamic Pacejka model; electric vehicles; electrical motors; instantaneous estimation; noise perturbation; time-varying conditions; tire-road conditions; torque saturation control; varying road conditions; vehicular control; Estimation; Friction; Roads; Tires; Torque; Vehicles; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2013 21st Mediterranean Conference on
Conference_Location :
Chania
Print_ISBN :
978-1-4799-0995-7
Type :
conf
DOI :
10.1109/MED.2013.6608904
Filename :
6608904
Link To Document :
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