DocumentCode :
132953
Title :
Adaptive PWM algorithm using digital-signal processing based THD measurement for electric vehicle application
Author :
Jaehoon Baek ; Seung-duck Choi ; Sangshin Kwak
Author_Institution :
Samsung Adv. Inst. of Technol., Yongin, South Korea
fYear :
2014
fDate :
16-20 March 2014
Firstpage :
2459
Lastpage :
2462
Abstract :
This paper presents an advanced pulse width modulation (PWM) method with cross-correlation-based digital signal processing for electric vehicle (EV) application. The algorithm is designed to adaptively apply PWM techniques depending on motor operating conditions: space vector PWM (SVPWM) method in the high total harmonic distortion (THD) condition and the discontinuous PWM (DPWM) method in the low harmonics operating condition of an EV motor. The phase current of EV motor changes by the torque command and the THD requirements to be calculated in real time to select PWM method. Proposed simple cross-correlation-based THD calculation presents minimal computation load and short convergence time to apply a real-time adaptive PWM algorithm for EV traction inverter. Experimental verification of proposed algorithm is performed by using 80kW Permanent Magnet (IPM) Motor setup.
Keywords :
electric vehicles; harmonic distortion; permanent magnet motors; signal processing; EV application; EV motor; IPM motor; SVPWM method; THD condition; THD measurement; adaptive PWM algorithm; advanced pulse width modulation method; cross-correlation-based THD calculation; cross-correlation-based digital signal processing; discontinuous PWM method; electric vehicle application; permanent magnet motor; phase current; real-time adaptive PWM algorithm; space vector PWM method; total harmonic distortion; Current measurement; Digital signal processing; Permanent magnet motors; Signal processing algorithms; Space vector pulse width modulation; Traction motors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Power Electronics Conference and Exposition (APEC), 2014 Twenty-Ninth Annual IEEE
Conference_Location :
Fort Worth, TX
Type :
conf
DOI :
10.1109/APEC.2014.6803648
Filename :
6803648
Link To Document :
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