DocumentCode :
197478
Title :
Estrategia de estimación de la condición de suelo para el control de tracción en vehículos eléctricos
Author :
Aligia, Diego A. ; Magallan, Guillermo A. ; De Angelo, C.H.
Author_Institution :
Grupo de Electron. Aplic. (GEA), Univ. Nac. de Rio Cuarto, Cordoba, Argentina
fYear :
2014
fDate :
11-13 June 2014
Firstpage :
417
Lastpage :
422
Abstract :
Design and implementation of a Luenberger nonlinear observer to estimate the road condition in a 4-wheel electric vehicle is presented in this paper. Knowledge of the road condition allows controlling the force transmitted to the road by traction wheels, thus preventing slippage even in low-traction surfaces. This is done to improve vehicle control and prevent loss of stability that may be risky. The proposed observer is based on a rotational dynamic model of the wheel and a Dugoff force model. The proposal is validated by simulation using a full vehicle model on Simulink/CarSim platform.
Keywords :
electric vehicles; force control; observers; road traffic control; road vehicles; stability; traction; vehicle dynamics; wheels; 4-wheel electric vehicle; Dugoff force model; Luenberger nonlinear observer; Simulink-CarSim platform; force control; full vehicle model; low-traction surfaces; road condition; rotational dynamic model; slippage prevention; soil condition estimation strategy; stability loss; traction control; traction wheels; vehicle control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biennial Congress of Argentina (ARGENCON), 2014 IEEE
Conference_Location :
Bariloche
Print_ISBN :
978-1-4799-4270-1
Type :
conf
DOI :
10.1109/ARGENCON.2014.6868529
Filename :
6868529
Link To Document :
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