전기전자학회논문지 (Journal of IKEEE)

  • 제24권2호
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  • Pages.610-618
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  • 2020
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  • 1226-7244(pISSN)
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  • 2288-243X(eISSN)
한국전기전자학회 (Institute of Korean Electrical and Electronics Engineers)
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규칙기반 알고리즘을 이용한 수소연료전지/배터리 하이브리드 철도차량 모델링

Modeling of Hybrid Railway Vehicles with Hydrogen Fuel-Cell/Battery using a Rule-Based Algorithm

  • Oh, Yoon-Gi (Dept. of Electrical and Computer Engineering, Ajou University) ;
  • Han, Byeol (Dept. of Electrical and Computer Engineering, Ajou University) ;
  • Oh, Yong-Kuk (Korea Railroad Research Institute) ;
  • Ryu, Joon-Hyoung (Korea Railroad Research Institute) ;
  • Lee, Kyo-Beum (Dept. of Electrical and Computer Engineering, Ajou University)
  • 투고 : 2020.06.08
  • 심사 : 2020.06.17
  • 발행 : 2020.06.30
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초록

본 논문에서는 규칙기반 알고리즘을 이용한 수소연료전지/배터리 하이브리드 철도차량 모델링을 제시한다. 모터의 운전영역에 따른 토크 곡선을 계산하여 견인 시스템의 구동 전력을 결정하고 철도차량의 각 운전 모드에 적용하여 전기 시스템을 모델링 한다. 전기 시스템의 전력은 규칙기반 알고리즘을 이용한 에너지 관리시스템(Energy Management System, EMS)으로 결정한다. 배터리의 충전상태(State Of Charge, SOC)에 따라 운전 영역을 세분화하여 수소 소비량을 효율적으로 관리한다. 제안하는 철도차량 모델링의 타당성은 MATLAB/Simulink 시뮬레이션을 통해 검증한다.

This paper presents the modeling of hybrid railway vehicles with hydrogen Fuel-Cells (FCs)/battery using a rule-based algorithm. The driving power of traction system is determined with the speed-torque curve by operation area of the electric machine and the electrical systems are modeled. The demanded power of electrical systems is set with the energy management system (EMS). The consumption of hydrogen is effectively managed with the subdivided operation region depending on the state of charge (SOC). The validity of the modeling is verified using MATLAB/Simulink.

키워드

참고문헌

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