Development of a Simple and Rapid Diagnostic Method for Polymer-Electrolyte Fuel Cells
Abstract
A simple and fast diagnostic tool has been developed for analyzing polymer-electrolyte fuel-cell degradation. The tool is based on analyzing changes in polarization curves of a cell over its lifetime. The shape of the polarization-change curve and its sensitivity to oxygen concentration are found to be unique for each degradation pathway based on analysis from a detailed 2-D numerical model of the cell. Using the polarization-change curve methodology, the primary mechanism for degradation (kinetic, ohmic, and/or transport related) can be identified. Here, the technique is applied to two sets of data to explain performance changes after two different cells undergo voltage-cycling accelerated stress test, where it is found that changes are kinetic and then ohmic or transport in nature depending on the cell type. The diagnostic tool provides a simple method for rapid determination of primary degradation mechanisms. Finally, areas for more detailed future investigations are also summarized.
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- United Technologies Research Center, East Hartford, CT (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Raytheon Technologies Research Center, East Hartford, CT (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Fuel Cell Technologies Office
- OSTI Identifier:
- 1460303
- Alternate Identifier(s):
- OSTI ID: 1883614
- Grant/Contract Number:
- AC02-05CH11231; EE0007652
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of the Electrochemical Society
- Additional Journal Information:
- Journal Volume: 165; Journal Issue: 6; Journal ID: ISSN 0013-4651
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 25 ENERGY STORAGE; 08 HYDROGEN; diagnostics; modeling; PEFC; Polymer electrolyte fuel model
Citation Formats
Pant, Lalit M., Yang, Zhiwei, Perry, Michael L., and Weber, Adam Z. Development of a Simple and Rapid Diagnostic Method for Polymer-Electrolyte Fuel Cells. United States: N. p., 2018.
Web. doi:10.1149/2.0011806jes.
Pant, Lalit M., Yang, Zhiwei, Perry, Michael L., & Weber, Adam Z. Development of a Simple and Rapid Diagnostic Method for Polymer-Electrolyte Fuel Cells. United States. https://doi.org/10.1149/2.0011806jes
Pant, Lalit M., Yang, Zhiwei, Perry, Michael L., and Weber, Adam Z. Sat .
"Development of a Simple and Rapid Diagnostic Method for Polymer-Electrolyte Fuel Cells". United States. https://doi.org/10.1149/2.0011806jes. https://www.osti.gov/servlets/purl/1460303.
@article{osti_1460303,
title = {Development of a Simple and Rapid Diagnostic Method for Polymer-Electrolyte Fuel Cells},
author = {Pant, Lalit M. and Yang, Zhiwei and Perry, Michael L. and Weber, Adam Z.},
abstractNote = {A simple and fast diagnostic tool has been developed for analyzing polymer-electrolyte fuel-cell degradation. The tool is based on analyzing changes in polarization curves of a cell over its lifetime. The shape of the polarization-change curve and its sensitivity to oxygen concentration are found to be unique for each degradation pathway based on analysis from a detailed 2-D numerical model of the cell. Using the polarization-change curve methodology, the primary mechanism for degradation (kinetic, ohmic, and/or transport related) can be identified. Here, the technique is applied to two sets of data to explain performance changes after two different cells undergo voltage-cycling accelerated stress test, where it is found that changes are kinetic and then ohmic or transport in nature depending on the cell type. The diagnostic tool provides a simple method for rapid determination of primary degradation mechanisms. Finally, areas for more detailed future investigations are also summarized.},
doi = {10.1149/2.0011806jes},
journal = {Journal of the Electrochemical Society},
number = 6,
volume = 165,
place = {United States},
year = {Sat Jan 13 00:00:00 EST 2018},
month = {Sat Jan 13 00:00:00 EST 2018}
}
Web of Science
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