Title :
Drive shaft torque estimation for electric vehicles
Author :
Yuhui Wu ; Xun Gong ; Yunfeng Hu ; Hong Chen ; Yongqiang Zhao
Author_Institution :
State Key Lab. of Automotive Simulation & Control, Changchun, China
Abstract :
The drive shaft torque information is important for the vehicle longitudinal speed control and regenerative braking control. In this paper a drive shaft torque estimator based on feedback linearization theory is proposed as torque signal is seldom measured but estimated in the production vehicle. A longitude vehicle dynamics model is established in MATLAB/Simulink environment and a model-based estimator is designed to deal with the parameters drift problem and effectiveness of the observer is tested through simulation experiments under urban road driving cycle conditions.
Keywords :
electric drives; electric vehicles; linearisation techniques; regenerative braking; torque; velocity control; MATLAB; Simulink environment; drive shaft torque estimation; electric vehicles; feedback linearization theory; longitude vehicle dynamics model; model-based estimator; regenerative braking control; torque signal; urban road driving cycle condition; vehicle longitudinal speed control; Electric vehicles; Estimation; MATLAB; Shafts; Torque; drive shaft torque estimation; electric vehicle; feedback linearization;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053514