Parametric analysis of the steady state and dynamic performance of proton exchange membrane fuel cell models |
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| Affiliation: | 1. Department of Building Physics and Building Ecology, Vienna University of Technology, Karlsplatz 13, 1040 Vienna, Austria;2. Swiss Federal Institute of Technology, Wolfgang-Pauli-Strasse 15, 8093 Zuerich, Switzerland;3. Laboratory for Building Science and Technology, Empa, Überlandstrasse 129, 8600 Dübendorf, Switzerland;4. Department of Architecture, Department of Architecture, Epoka University, Tirana, Albania;1. Thermal&Fluid System R&BD Group, Korea Institute of Technology, Ipjang-Myun, Cheonan-Si, Chungnam, 331-825, Republic of Korea;2. School of Mechanical Engineering, Hoseo University, Baebang-Myun, Asan-Si, Chungnam, 336-795, Republic of Korea;1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing, China;2. College of Science, Nantong University, 9 Seyuan road, Nantong, China |
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| Abstract: | Proton exchange membrane fuel cells (PEMFCs) are devices that attract the interest for a variety of applications including portable devices, transportation and stationary power. Several models are available in the literature concerning PEMFCs with different modelling approaches. In this paper, two representative dynamic models are examined, one using an electrical equivalent and one based on semi-empirical equations. Moreover, an enhanced model based on semi – empirical equations and a simplified transfer function representation for the dynamic response is proposed. All models can be easily incorporated in power system simulation software. Scope of this paper is to present a parametric analysis method in order to determine the ability of each model to represent accurately the steady – state as well as the slow and fast dynamics of a PEMFC. The influence of each specific parameter is investigated and the tuning procedure is described. Finally, simulation results are presented and the adaptability of all models is evaluated. |
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| Keywords: | Dynamic modelling Fuel cells Measurements Proton exchange membrane fuel cell model |
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