A Study of Modeling PEM Fuel Cell System Using Multi-Variable Optimization Technique for Automotive Applications

다변수 최적화 기법을 이용한 자동차용 고분자 전해질형 연료전지 시스템 모델링에 관한 연구

  • 김한상 (서울대학교 기계항공공학부) ;
  • 민경덕 (서울대학교 기계항공공학부) ;
  • 전순일 (현대자동차 연료전지시스템개발팀) ;
  • 김수환 (현대자동차 연료전지시스템개발팀) ;
  • 임태원 (현대자동차 연료전지시스템개발팀) ;
  • 박진호 ((주)엔지비 기술개발팀)
  • Published : 2005.12.31


This study presents the integrated modeling approach to simulate the proton exchange membrane [PEM] fuel cell system for vehicle application. The fuel cell system consisting of stack and balance of plant (BOP) was simulated with MATLAB/Simulink environment to estimate the maximum system power and investigate the effect of BOP component sizing on system performance and efficiency. The PEM fuel cell stack model was established by using a semi-empirical modeling. To maximize the net efficiency of fuel cell system, multi-variable optimization code was adopted. Using this method, the optimized operating values were obtained according to various system net power levels. The fuel cell model established was co-linked to AVL CRUISE, a vehicle simulation package. Through the vehicle simulation software, the fuel economy of fuel cell powered electric vehicle for two types of driving cycles was presented and compared. It is expected that this study can be effectively employed in the basic BOP component sizing and in establishing system operation map with respect to net power level of fuel cell system.