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A Review on Prognostics of Polymer Electrolyte Fuel Cells

고분자전해질 연료전지 예지 진단 기술

  • LEE, WON-YONG (Fuel Cell Research Center, Korea Institute of Energy Research) ;
  • KIM, MINJIN (Fuel Cell Research Center, Korea Institute of Energy Research) ;
  • OH, HWANYEONG (Fuel Cell Research Center, Korea Institute of Energy Research) ;
  • SOHN, YOUNG-JUN (Fuel Cell Research Center, Korea Institute of Energy Research) ;
  • KIM, SEUNG-GON (Fuel Cell Research Center, Korea Institute of Energy Research)
  • 이원용 (한국에너지기술연구원 연료전지연구실) ;
  • 김민진 (한국에너지기술연구원 연료전지연구실) ;
  • 오환영 (한국에너지기술연구원 연료전지연구실) ;
  • 손영준 (한국에너지기술연구원 연료전지연구실) ;
  • 김승곤 (한국에너지기술연구원 연료전지연구실)
  • Received : 2018.05.29
  • Accepted : 2018.08.31
  • Published : 2018.08.31

Abstract

Although fuel cell systems have advantages in terms of electric efficiency and environmental impact compared with conventional power systems, fuel cell systems have not been deployed widely due to their low reliability and high price. In order to guarantee the lifetime of 10 years, which is the commercialization goal of Polymer electrolyte fuel cells (PEFCs), it is necessary to improve durability and reliability through optimized operation and maintenance technologies. Due to the complexity of components and their degradation phenomena, it's not easy to develop and apply the diagnose and prognostic methodologies for PEFCs. The purpose of the paper is to show the current state on PEFC prognostic technology for condition based maintenance. For the prognostic of PEFCs, the model driven method, the data-driven, and the hybrid method can be applied. The methods reviewed in this paper can contribute to the development of technologies to reduce the life cycle cost of fuel cells and increase the reliability through prognostics-based health management system.

Keywords

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