LAPSE:2018.0576
Published Article
LAPSE:2018.0576
Lifetime Prediction of a Polymer Electrolyte Membrane Fuel Cell under Automotive Load Cycling Using a Physically-Based Catalyst Degradation Model
Manik Mayur, Mathias Gerard, Pascal Schott, Wolfgang G. Bessler
September 21, 2018
One of the bottlenecks hindering the usage of polymer electrolyte membrane fuel cell technology in automotive applications is the highly load-sensitive degradation of the cell components. The cell failure cases reported in the literature show localized cell component degradation, mainly caused by flow-field dependent non-uniform distribution of reactants. The existing methodologies for diagnostics of localized cell failure are either invasive or require sophisticated and expensive apparatus. In this study, with the help of a multiscale simulation framework, a single polymer electrolyte membrane fuel cell (PEMFC) model is exposed to a standardized drive cycle provided by a system model of a fuel cell car. A 2D multiphysics model of the PEMFC is used to investigate catalyst degradation due to spatio-temporal variations in the fuel cell state variables under the highly transient load cycles. A three-step (extraction, oxidation, and dissolution) model of platinum loss in the cathode catalyst layer is used to investigate the cell performance degradation due to the consequent reduction in the electro-chemical active surface area (ECSA). By using a time-upscaling methodology, we present a comparative prediction of cell end-of-life (EOL) under different driving behavior of New European Driving Cycle (NEDC) and Worldwide Harmonized Light Vehicles Test Cycle (WLTC).
Keywords
catalyst degradation, driving cycle, durability estimation, Modelling, polymer electrolyte membrane fuel cell (PEMFC)
Suggested Citation
Mayur M, Gerard M, Schott P, Bessler WG. Lifetime Prediction of a Polymer Electrolyte Membrane Fuel Cell under Automotive Load Cycling Using a Physically-Based Catalyst Degradation Model. (2018). LAPSE:2018.0576
Author Affiliations
Mayur M: Institute of Energy Systems Technology (INES), Offenburg University of Applied Sciences, Badstrasse 24, 77652 Offenburg, Germany [ORCID]
Gerard M: CEA LITEN, University of Grenoble Alpes, F-38054 Grenoble, France
Schott P: CEA LITEN, University of Grenoble Alpes, F-38054 Grenoble, France
Bessler WG: Institute of Energy Systems Technology (INES), Offenburg University of Applied Sciences, Badstrasse 24, 77652 Offenburg, Germany
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Journal Name
Energies
Volume
11
Issue
8
Article Number
E2054
Year
2018
Publication Date
2018-08-08
Published Version
ISSN
1996-1073
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Original Submission
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PII: en11082054, Publication Type: Journal Article
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LAPSE:2018.0576
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doi:10.3390/en11082054
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Sep 21, 2018
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CC BY 4.0
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Sep 21, 2018
 
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Original Submitter
Calvin Tsay
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