DocumentCode :
175910
Title :
Optimal planning of the clutch slipping control for gear shift of 2-speed electric vehicle
Author :
Qiong Liang ; Nana Tang ; Bingzhao Gao ; Hong Chen
Author_Institution :
State Key Lab. of Automotive Simulation & Control, Jilin Univ., Changchun, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
1538
Lastpage :
1543
Abstract :
The gear shift control of 2-speed AMT (Automated Manual Transmission) of pure electric vehicle is investigated to improve the shift quality. During the inertia phase of the gear shift process, a linear-quadratic optimal controller is designed for minimizing the clutch friction work, vehicle jerk and ensuring the transmission output torque change smoothly. The optimal controller is a time-varying linear feedback form of the states. Based on the simulation results of the optimal controller, the reference trajectory of the clutch speed difference and motor torque are obtained using normalized fitting method. The fitted reference trajectories are used as feed-forward inputs in the inertia phase to accomplish the gear shift process. The control algorithm is confirmed through test on a complete power train simulation model.
Keywords :
clutches; control system synthesis; electric vehicles; feedforward; friction; gears; linear quadratic control; linear systems; power transmission (mechanical); state feedback; time-varying systems; 2-speed AMT; 2-speed electric vehicle; automated manual transmission; clutch friction work minimization; clutch slipping control; clutch speed difference reference trajectory; feed-forward inputs; gear shift control; gear shift process inertia phase; linear-quadratic optimal controller design; motor torque; normalized fitting method; optimal planning; power train simulation model; pure electric vehicle; shift quality; state time-varying linear feedback form; transmission output torque; vehicle jerk; Electric vehicles; Friction; Gears; Synchronization; Torque; Traction motors; 2-speed AMT; electric vehicle; gear shifting; optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6852411
Filename :
6852411
Link To Document :
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