New Accelerated Testing and Lifetime Modeling Methods Promise Faster Development of More Durable MEAs

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For the successful commercialization of fuel cell technology, it is imperative that membrane electrode assembly (MEA) durability is understood and quantified. MEA lifetimes of 40,000 hours remain a key target for stationary power applications. Since it is impractical to wait 40,000 hours for durability results, it is critical to learn as much information as possible in as short a time period as possible to determine if an MEA sample will survive past its lifetime target. Consequently, 3M has utilized accelerated testing and statistical lifetime modeling tools to develop a methodology for evaluating MEA lifetime. Construction and implementation of a multi-cell ... continued below

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Pierpont, D. M.; Hicks, M. T.; Turner, P. L. & Watschke, T. M. November 1, 2005.

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For the successful commercialization of fuel cell technology, it is imperative that membrane electrode assembly (MEA) durability is understood and quantified. MEA lifetimes of 40,000 hours remain a key target for stationary power applications. Since it is impractical to wait 40,000 hours for durability results, it is critical to learn as much information as possible in as short a time period as possible to determine if an MEA sample will survive past its lifetime target. Consequently, 3M has utilized accelerated testing and statistical lifetime modeling tools to develop a methodology for evaluating MEA lifetime. Construction and implementation of a multi-cell test stand have allowed for multiple accelerated tests and stronger statistical data for learning about durability.

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  • 2005 Fuel Cell Seminar, Palm Springs, CA, November 2005

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  • Report No.: DOE/GO/13098-14
  • Grant Number: FC36-03GO13098
  • Office of Scientific & Technical Information Report Number: 883315
  • Archival Resource Key: ark:/67531/metadc876640

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Office of Scientific & Technical Information Technical Reports

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  • November 1, 2005

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  • Sept. 21, 2016, 2:29 a.m.

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  • Dec. 6, 2016, 2:01 p.m.

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Pierpont, D. M.; Hicks, M. T.; Turner, P. L. & Watschke, T. M. New Accelerated Testing and Lifetime Modeling Methods Promise Faster Development of More Durable MEAs, article, November 1, 2005; United States. (digital.library.unt.edu/ark:/67531/metadc876640/: accessed December 11, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.