This title appears in the Scientific Report :
2005
Please use the identifier:
http://dx.doi.org/10.1149/1.1914746 in citations.
Please use the identifier: http://hdl.handle.net/2128/2877 in citations.
Analytical and numerical analysis of PEM fuel cell performance curve
Analytical and numerical analysis of PEM fuel cell performance curve
We present a novel approach for analyzing the experimental voltage-current curves of a polymer electrolyte membrane (PEM) fuel cell. State-of-the-art numerical models involve many poorly known parameters. This makes a comparison of numerical and experimental polarization curves unreliable. We sugges...
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Personal Name(s): | Kulikovsky, A. A. |
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Wuester, T. / Egmen, A. / Stolten, D. | |
Contributing Institute: |
Energieverfahrenstechnik; IWV-3 |
Published in: | Journal of the Electrochemical Society, 152 (2005) S. A1290 - A1300 |
Imprint: |
Pennington, NJ
Electrochemical Society
2005
|
Physical Description: |
A1290 - A1300 |
DOI: |
10.1149/1.1914746 |
Document Type: |
Journal Article |
Research Program: |
Brennstoffzelle |
Series Title: |
Journal of the Electrochemical Society
152 |
Subject (ZB): | |
Link: |
Get full text OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/2877 in citations.
We present a novel approach for analyzing the experimental voltage-current curves of a polymer electrolyte membrane (PEM) fuel cell. State-of-the-art numerical models involve many poorly known parameters. This makes a comparison of numerical and experimental polarization curves unreliable. We suggest characterizing the cell by first using a simplified analytical model, which contains a minimal number of parameters and ignores three-dimensional (3D) effects. The resulting physical parameters are then used as input data for a 3D numerical simulation of the PEM fuel cell. Comparison of experimental, analytical, and numerical polarization curves enables us to estimate the contribution of 3D effects to the voltage loss. This procedure is performed using specially designed experiments, our recent analytical model, and the newest version of a numerical quasi-3D model of a cell. The results show that this approach may serve as a tool for the optimization of the flow field design. (c) 2005 The Electrochemical Society. All rights reserved. |