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2015
DOI: 10.1149/2.0101508jes
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A One-Dimensional Pt Degradation Model for Polymer Electrolyte Fuel Cells

Abstract: A one-dimensional model is developed and validated to study platinum degradation and the subsequent electrochemical surface area (ECA) loss in the cathode catalyst layer (CL) of polymer electrolyte fuel cells (PEFCs). The model includes two mechanisms of Pt degradation: Ostwald ripening on carbon support and Pt dissolution-re-precipitation through the ionomer phase. Impact of H 2 | N 2 or H 2 | Air operation, operating temperature, and relative humidity (RH) on Pt degradation during voltage cycling is explored… Show more

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Cited by 75 publications
(71 citation statements)
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“…The overall ECA evolutions and PSDs at various positions of CCL were compared with experimental data in their study. 53 The 1D Pt degradation model of Li et al 53 describes the Ostwald ripening and Pt dissolution-re-precipitation across the CCL, which is similar to the Pt degradation model proposed by Takeshita et al 54 However, by incorporating the temperature-dependent kinetic equations of Holby and Morgan 50 and developing an additional 55 The non-uniform Pt degradation causes non-uniform ECA across the PEFC CCL in the through-plane direction as introduced. This non-uniform ECA distribution of the degraded PEFC CCL could reshape the current density distributions in PEFC CCLs.…”
mentioning
confidence: 97%
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“…The overall ECA evolutions and PSDs at various positions of CCL were compared with experimental data in their study. 53 The 1D Pt degradation model of Li et al 53 describes the Ostwald ripening and Pt dissolution-re-precipitation across the CCL, which is similar to the Pt degradation model proposed by Takeshita et al 54 However, by incorporating the temperature-dependent kinetic equations of Holby and Morgan 50 and developing an additional 55 The non-uniform Pt degradation causes non-uniform ECA across the PEFC CCL in the through-plane direction as introduced. This non-uniform ECA distribution of the degraded PEFC CCL could reshape the current density distributions in PEFC CCLs.…”
mentioning
confidence: 97%
“…In a recent study, Holby and Morgan 50 applied much finer Pt particle size bins in their Pt degradation model and specifically discussed the impacts of the Pt PSD shape on the speed of Pt degradation. Based on the kinetic equations developed by Holby and Morgan, 50 Li et al 53 developed a 1D Pt degradation model to investigate the non-uniform Pt degradation and predict the non-uniform ECA loss across the CCL. The overall ECA evolutions and PSDs at various positions of CCL were compared with experimental data in their study.…”
mentioning
confidence: 99%
“…It has been observed in the literature that different amounts of Pt dissolution at inlet and outlet and different distributions of Pt causes significant spatially-varying ECSA loss [33,47]. This indicates that, in order to reliably model the spatially resolved cell degradation, other local degradation mechanisms must be considered.…”
Section: Discussionmentioning
confidence: 99%
“…It has been shown in the literature that catalyst layer structure and the Pt transport in catalyst layer (CL) give more detailed insights into the volume-specific electrochemistry and species transport, which affect the cell performance, specially in the case of low Pt loading conditions (ca. 0.025 mg/cm 2 ) [32,33], but in this work, we decided to use a reduced complexity model with a uniform distribution of Pt (loading of 0.15 mg/cm 2 ) along the CL. Further, we hypothesize that the Pt dissolution in the CL is significantly influenced by the local cell parameters such as cell voltage, oxygen, and water concentration, mainly originating from the transport in the GDL and the membrane.…”
Section: Single Cell Modelmentioning
confidence: 99%
“…At the last decade, numerous degradation models have been published [19e43]. Most of the models consider degradation phenomena in a single component of the fuel cell: either in the membrane [21,25,28,29], or in the catalyst layer [20,23,24,26,27,30], or in the gas diffusion layer [22]. There are much less models predicting durability [19,34,35,40e44] or performance [25,33e39] of a complete fuel cell or stack.…”
Section: Introductionmentioning
confidence: 99%