2018
DOI: 10.1149/2.0371806jes
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Model-Based Analysis of PFSA Membrane Mechanical Response to Relative Humidity and Load Cycling in PEM Fuel Cells

Abstract: The hydration/dehydration cycling of the membrane during the fuel cell operation and the resulting mechanical stress are in part responsible for the mechanical failures of a polymer electrolyte membrane. To thoroughly investigate the mechanical behaviors of the membrane under in-situ cyclic conditions, in this paper, we have interfaced a comprehensive two-dimensional transient fuel cell transport model with a viscoelastic-plastic membrane mechanical model. The transport model is used to produce the spatiotempo… Show more

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Cited by 21 publications
(7 citation statements)
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References 47 publications
(83 reference statements)
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“…Therefore, this model is 98 expected to offer higher fidelity than the state of the art models for 99 the purpose of studying transient phenomena that impact performance and durability. 21 ε…”
mentioning
confidence: 99%
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“…Therefore, this model is 98 expected to offer higher fidelity than the state of the art models for 99 the purpose of studying transient phenomena that impact performance and durability. 21 ε…”
mentioning
confidence: 99%
“…Therefore, this model is expected to offer higher fidelity than the state of the art models for the purpose of studying transient phenomena that impact performance and durability. 21 The rest of the paper is organized as follows: first, the model formulation is presented along with a detailed review of the literature relevant to each sub-model to justify the choices made during model development. Simulation results and discussions are provided next, followed by a brief summary and concluding remarks.…”
mentioning
confidence: 99%
“…21 Moreover, it has enabled a closer look at some of the degradation issues that limit the lifetime of the stacks. 22,23 Nevertheless, this all comes at a significant computational cost that inhibits the use of these models for on-line estimation and diagnostics. On the other hand, the available computationally efficient models typically disregard or oversimplify the underlying physics to the point that they miss many critically important phenomena, such as the twophase flow 24 and non-isothermal effects.…”
mentioning
confidence: 99%
“…This ever-increasing complexity of the models has shed some light into the transport phenomena in the porous layers of the cell that were previously unidentified [21]. Moreover, it has enabled a closer look at some of the degradation issues that limit the lifetime of the stacks [22,23]. Nevertheless, this all comes at a significant computational cost that inhibits the use of these models for on-line estimation and diagnostics.…”
Section: Introductionmentioning
confidence: 99%