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Energy management strategies of a fuel cell/battery hybrid system using fuzzy logics  

Jeong, Kwi-Seong (Fuel Cell Research Center, Korea Institute of Energy Research)
Lee, Won-Yong (Fuel Cell Research Center, Korea Institute of Energy Research)
Kim, Chang-Soo (Fuel Cell Research Center, Korea Institute of Energy Research)
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Abstract
Hybrid power systems with fuel cells and batteries have the potential to improve the operation efficiency and dynamic response. A proper load management strategy is important to better system efficiency and endurance in hybrid systems. In this paper, a fuzzy logic algorithm has been used to determine the fuel cell output power depending on the external required power and the battery state of charge(SoC). If the required power of the hybrid system is small and the SoC is small, then the greater part of the fuel cell power is used to charge the battery pack. If the required power is relatively big and the SoC is big, then fuel cell and battery are concurrently used to supply the required power. These IF-THEN operation rules are implemented by fuzzy logic for the energy management system of hybrid system. The strategy is evaluated by simulation. The results show that fuzzy logic can be effectively used to optimize the operational efficiency of hybrid system and to maintain the battery SoC properly.
Keywords
Fuel cell; Battery; Hybrid; Fuzzy control;
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