期刊
ENERGY
卷 122, 期 -, 页码 675-690出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2017.01.078
关键词
Polymer electrolyte membrane fuel cell; Filling-and-emptying; Water transfer; Parameter extraction; Periphery signals; Frequency
资金
- National Natural Science Foundation of China [51576113, U1564209]
- Alexander von Humboldt Foundation of Germany [CHN1154431STP]
- Ministry of Science and Technology of China [2015BAGO6B01, 2016YFE0102200]
- Tsinghua University [20151080411]
- State Key Laboratory of Automotive Safety and Energy [ZZ2016-041]
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. A dynamic experiment is carried out to verify the model. Relative errors within [-5, 5]% between simulating and experimental results are observed, showing the effectiveness of the results. Properties of internal states with respect to time and frequency are simulated. A net water transport coefficient beta epsilon [0.13, 0.21] is predicted. The normalized transfer functions of small disturbance signals from the cell current to internal states are low-frequency-pass functions. A cutoff frequency (0.0003-037 Hz) and a resonating frequency (3.55 Hz), which retain under different operation conditions, is found. (C) 2017 Elsevier Ltd. All rights reserved.
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