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http://dx.doi.org/10.5370/JEET.2017.12.5.1891

Efficiency Improvement of Synchronous Boost Converter with Dead Time Control for Fuel Cell-Battery Hybrid System  

Kim, Do-Yun (Dept. of vehicle components company, LG Electronics)
Won, Il-Kuen (Dept. of Electrical and Computer Engineering, Sungkyunkwan University)
Lee, Jung-Hyo (Dept. of Electrical Engineering, Kunsan National University)
Won, Chung-Yuen (Dept. of Electrical and Computer Engineering, Sungkyunkwan University)
Publication Information
Journal of Electrical Engineering and Technology / v.12, no.5, 2017 , pp. 1891-1901 More about this Journal
Abstract
In this paper, optimal control of the fuel cell and design of a high-efficiency power converter is implemented to build a high-priced fuel cell system with minimum capacity. Conventional power converter devices use a non-isolated boost converter for high efficiency while the battery is charged, and reduce its conduction loss by using MOSFETs instead of diodes. However, the efficiency of the boost converter decreases, since overshoot occurs because there is a moment when the body diode of the MOSFET is conducted during the dead time and huge loss occurs when the dead time for the maximum-power-flowing state is used in the low-power-flowing state. The method proposed in this paper is to adjust the dead time of boost and rectifier switches by predicting the power flow to meet the maximum efficiency in every load condition. After analyzing parasite components, the stability and efficiency of the high-efficiency boost converter is improved by predictive compensation of the delay component of each part, and it is proven by simulation and experience. The variation in switching delay times of each switch of the full-bridge converter is compensated by falling time compensation, a control method of PWM, and it is also proven by simulation and experience.
Keywords
Predictive control of dead time; Synchronous boost converter; High-efficiency fuel cell converter;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
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