Characterization of the PEM fuel cell catalyst layer microstructure by nonlinear least-squares parameter estimation

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DOIResolve DOI: http://doi.org/10.1149/2.041205jes
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TypeArticle
Journal titleJournal of the Electrochemical Society
ISSN0013-4651
Volume159
Issue5
PagesB514B523
SubjectAgglomerate sizes; Catalyst layers; Experimental visualization; Membrane electrode assemblies; Microstructural parameters; Model parameters; Model prediction; Multi-physics; Nonlinear least squares; Operating condition; Parameter estimation algorithm; PEM fuel cell; Structural parameter; Catalysts; Mathematical models; Parameter estimation; Uncertainty analysis; Proton exchange membrane fuel cells (PEMFC)
AbstractModels of polymer electrolyte membrane fuel cells (PEMFC) have become increasingly complex, using many parameters to define the behavior of species and the performance of the cell. A framework is presented here to couple an agglomerate electrode based, multi-dimensional, multi-physics mathematical model of membrane electrode assembly (MEA) model with an optimization-based nonlinear least-squares parameter estimation algorithm. The framework is used to estimate the micro-structural parameters of the catalyst layer such as agglomerate size. The results show that a set of data over a range of operating conditions can be accurately described by using a unique set of structural parameters that match experimental visualization of the catalyst layer. Extension of this methodology can be used to systematically estimate any model parameters in order to reduce uncertainty in model predictions. © 2012 The Electrochemical Society.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Fuel Cell Innovation (IFCI-IIPC)
Peer reviewedYes
NPARC number21269249
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Record identifierb60dd874-a145-4882-aca9-3cd37547ab87
Record created2013-12-12
Record modified2016-05-09
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