DocumentCode :
3535255
Title :
Control, analysis and comparison of different control strategies of electric motor for battery electric vehicles applications
Author :
Hegazy, O. ; Barrero, R. ; Van Mierlo, J. ; El Baghdad, Mohamed ; Lataire, P. ; Coosemans, T.
Author_Institution :
Vrije Univ. Brussel (VUB), Brussels, Belgium
fYear :
2013
fDate :
2-6 Sept. 2013
Firstpage :
1
Lastpage :
13
Abstract :
Electric motors are key components in all electric drivetrains, particularly battery electric vehicles (BEVs). Consequently, the control strategies of those electric motors play an important role in the development of high performance BEV powertrains. Therefore, this article presents the control design, analysis and comparison of different motor control strategies. In this paper, the most popular control strategies (such as Indirect Field-Oriented Control (IFOC), Hybrid IFOC and PWM voltage scheme, IFOC based on SVPWM, Direct Torque Control (DTC), and DTC based on SVPWM) are designed and analyzed in detail by using Matlab/Simulink. Furthermore, in this research, IFOC based on PWM voltage and PSO is designed to improve the motor efficiency especially at low load conditions. It is shown that the PSO algorithm has the straightforward goal of minimizing the motor losses at any operating condition by selecting the optimal flux. The simulation and experimental results are provided.
Keywords :
battery powered vehicles; electric motors; machine control; power transmission (mechanical); torque control; BEV powertrains; PWM voltage scheme; SVPWM; battery electric vehicles applications; direct torque control; electric drivetrains; electric motor; hybrid IFOC; indirect field oriented control; motor efficiency; motor losses; optimal flux; Batteries; Electric motors; Induction motors; Mechanical power transmission; Space vector pulse width modulation; Torque; Battery Electric Vehicles (BEVs); Digital Signal Processor (DSP); Direct Torque Control (DTC); Electric Motors (EMs); Indirect Field-Oriented Control (IFOC); Motor Control Strategies; Particle Swarm Optimization (PSO); Space Vector PWM (SVPWM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Applications (EPE), 2013 15th European Conference on
Conference_Location :
Lille
Type :
conf
DOI :
10.1109/EPE.2013.6631906
Filename :
6631906
Link To Document :
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