DocumentCode :
2188859
Title :
Improving EV lateral dynamics control using infinity norm approach with closed-form solution
Author :
Viehweider, Alexander ; Salvucci, Valerio ; Hori, Yoichi ; Koseki, Takafumi
Author_Institution :
Dept. of Adv. Energy, Univ. of Tokyo, Chiba, Japan
fYear :
2013
fDate :
Feb. 27 2013-March 1 2013
Firstpage :
388
Lastpage :
393
Abstract :
Over-actuated EVs offer a high degree of freedoms that can be exploited for better vehicle dynamic behaviour, energy efficiency, vehicle safety and comfort. If the cost of the actuators can be brought to a reasonable level, then sophisticated control algorithm should make the most out of the over-actuation property. A key aspect in lateral dynamics control of an over actuated EV with In Wheel motors and active front and/or rear steering is the so called control allocation problem. Often such problems are solved using the 2 norm (weighted least square solution) as it is expressed in a closed form-solution and has a low fixed number of arithmetic operations suited for real time control. In this work a closed-form solution based on the infinity norm for the case of 2 to 3 control allocation problem in EV lateral dynamic control is derived, and validated by means of simulation runs considering an electric vehicle with In-Wheel-Motor traction and active front and rear steering. During a “sine with a dwell” steering command at a constant velocity the superiority of the proposed algorithm based on the infinity norm is shown.
Keywords :
electric vehicles; least squares approximations; steering systems; traction; vehicle dynamics; EV lateral dynamics control; active front steering; active rear steering; closed-form solution; control allocation problem; degree of freedoms; electric vehicle; energy efficiency; in-wheel-motor traction; infinity norm approach; over-actuated EV; real time control; sine with a dwell steering command; vehicle comfort; vehicle dynamic behaviour; vehicle safety; weighted least square solution; Actuators; Closed-form solutions; Load modeling; Resource management; Tires; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics (ICM), 2013 IEEE International Conference on
Conference_Location :
Vicenza
Print_ISBN :
978-1-4673-1386-5
Electronic_ISBN :
978-1-4673-1387-2
Type :
conf
DOI :
10.1109/ICMECH.2013.6518568
Filename :
6518568
Link To Document :
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