DocumentCode :
2742915
Title :
Energy Optimization Strategy of Induction Motor for Electric Vehicles in High-Speed Constant Power Region
Author :
Li, Ke ; Zhang, Chenghui ; Cui, Naxin ; Wu, Jian
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
8334
Lastpage :
8338
Abstract :
The problem of poor efficiency under light load also exists in high speed constant power region of induction motor (IM) drives for electric vehicles, which directly restrict the electric vehicles´ travel distance. The operation characteristics of IM in the ECE urban drive cycle are analyzed at first. Then the losses of induction motor are discussed and so is the effect on IM´s control caused by the voltage and current constraints in the high-speed constant power region. An energy optimization strategy suitable for electric vehicle based on loss model, by the means of regulating flux level, was given. Experiments were carried out based on DSP TMS320LF2407A experimental system. The results show that the optimization strategy improves the motor efficiency in high speed region markedly, and fast optimization, small torque and speed fluctuation are achieved. It provides a sound solution for the electric vehicle´s propulsion system
Keywords :
electric vehicles; induction motor drives; machine control; power control; current constraint; electric vehicle propulsion system; energy optimization; flux level regulation; high-speed constant power region; induction motor control; induction motor drive; speed fluctuation; torque fluctuation; urban drive cycle; voltage constraint; Automotive engineering; Digital signal processing; Drives; Electric vehicles; Induction motors; Lighting control; Power engineering and energy; Power system modeling; Torque; Voltage control; constant power region; electric vehicle(EV); energy optimization; induction motor; loss model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713601
Filename :
1713601
Link To Document :
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