Parameter extraction of polymer electrolyte membrane fuel cell based on quasi-dynamic model and periphery signals

Liangfei Xu, Chuan Fang, Junming Hu, Siliang Cheng, Jianqiu Li, Minggao Ouyang and Werner Lehnert

Energy, 2017, vol. 122, issue C, 675-690

Abstract: It is important to extract parameters of a polymer electrolyte membrane fuel cell (PEMFC) using periphery signals. The main contribution of this work is to introduce a simple yet effective method for parameter-extraction basing on a quasi-dynamic model for a single PEMFC and periphery signals. The model includes filling-and-emptying sub-models, which set up relations between periphery signals and internal states, and a static water transferring sub-model for the membrane. The parameter-extraction method with 5 steps for 9 key parameters is proposed, drawing on experiments and algorithms of nonlinear least square (NLS) and neural networks (NN). Comparison of the identified parameters to data in literature shows that, the results in our study are reasonable.

Keywords: Polymer electrolyte membrane fuel cell; Filling-and-emptying; Water transfer; Parameter extraction; Periphery signals; Frequency (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:122:y:2017:i:c:p:675-690

DOI: 10.1016/j.energy.2017.01.078

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