Modeling and Control of Ejector-Based Hydrogen Circulation System for Proton Exchange Membrane Fuel Cell Systems

Zecheng Xu, Bo Liu, Yuqi Tong, Zuomin Dong and Yanbiao Feng ()
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Zecheng Xu: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Bo Liu: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Yuqi Tong: State-Assigned Electric Vehicle Power Battery Testing Center, China North Vehicle Research Institute, Beijing 100072, China
Zuomin Dong: Department of Mechanical Engineering and Institute for Integrated Energy Systems, University of Victoria, Victoria, BC V8W 2Y2, Canada
Yanbiao Feng: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Energies, 2024, vol. 17, issue 11, 1-14

Abstract: Ejector-based proton exchange membrane fuel cells (PEMFCs) are of great interest due to their simplicity and feasibility. Thus, proton exchange membrane fuel cells are considered the most suitable technology for in-vehicle systems, industrial applications, etc. Despite the passive characteristics of the ejector, active control of the hydrogen supply system is needed to ensure sufficient hydrogen, maintain the stack pressure, and ensure effective entrainment. In this research, a novel semi-empirical model is proposed to accurately predict the entrainment performance of the ejector with an 80 kW fuel cell system. According to the precise semi-empirical model, the hydrogen supply system and the anode channel are modeled. Then, a fuzzy logic controller (FLC) is developed to supply sufficient and adequate gas flow and maintain the rapid dynamic response. Compared to the conventional proportional–integral–derivative controller, the fuzzy logic controller could reduce the anode pressure variability by 5% during a stepped case and 2% during a dynamic case.

Keywords: hydrogen circulation system; ejector-based circulation; ejector semi-empirical modeling; proton exchange membrane fuel cell system; fuzzy logic control; PID control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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