DocumentCode :
592400
Title :
Torque vectoring for an electric vehicle using an LPV drive controller and a torque and slip limiter
Author :
Kaiser, Gail ; Qin Liu ; Hoffmann, Christian ; Korte, Matthias ; Werner, Herbert
Author_Institution :
Dept. of Gen. Vehicle Archit., Intedis GmbH, Wuerzburg, Germany
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
5016
Lastpage :
5021
Abstract :
This paper proposes a torque vectoring strategy for the propulsion of an electric vehicle with two independent electric machines at the front wheels. The torque vectoring controller includes a vehicle dynamics controller and a motor torque and wheel slip limiter. The nonlinear vehicle dynamics controller is designed as Linear Parameter-Varying (LPV) gain-scheduled controller for tracking the longitudinal velocity and the yaw rate of the vehicle. A linearly interpolated Torque and Slip Limiter (TSL) is derived to cope with saturation of the electric motors and wheel slip limitations. The TSL is based on an extension of a linear time-invariant anti-windup scheme to fit the proposed LPV controller, and uses available wheel slip information to prevent wheel spinning or blocking. A nonlinear 14-degree-of-freedom vehicle model with an advanced Dugoff tire model has been calibrated with real measurement data. This model is used to simulate the closed-loop vehicle behavior. Simulation results show good vehicle dynamics and safety properties.
Keywords :
closed loop systems; electric vehicles; nonlinear control systems; road safety; torque control; vehicle dynamics; LPV drive controller; advanced Dugoff tire model; closed-loop vehicle behavior; electric vehicle; linear parameter-varying gain-scheduled controller; linear time-invariant antiwindup scheme; linearly interpolated torque and slip limiter; longitudinal velocity tracking; motor torque; nonlinear 14-degree-of-freedom vehicle model; nonlinear vehicle dynamics controller; torque vectoring; vehicle safety; vehicle yaw rate; wheel slip limiter; Electric motors; Force; Tires; Torque; Vehicle dynamics; Vehicles; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426553
Filename :
6426553
Link To Document :
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