Predictive virtual modelling framework for performance and platinum degradation modelling of high temperature PEM fuel cells

Kregar, Ambrož; Tavčar, Gregor; Kravos, Andraž; Katrašnik, Tomaž

doi:10.1016/j.egypro.2019.01.426

Cited by 10 publications

(7 citation statements)

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“…The local conditions in the catalyst layer, calculated by the HAN model, are used as the inputs to the recently developed catalyst degradation model . The model combines several verified models of individual steps in the catalyst degradation, namely the particle size dependent Pt and carbon oxidation , , Pt dissolution , and the corrosion of carbon support .…”

Section: Methodsmentioning

confidence: 99%

“…Their values differ between sources (e.g., , ) and are also known to strongly depend on the temperature (e.g., electrochemical reaction rate constants) and on the detailed material properties of catalyst components (e.g., particle detachment rate in Eq. ) , . To properly determine the values of these parameters, the model was calibrated based on the experimental data, found in literature.…”

Section: Methodsmentioning

confidence: 99%

“…Mitigation strategies to reduce the degradation rate of the catalyst range from the development of new materials, to better withstand the harsh conditions in the catalyst layer, over optimized MEA, flow field and stack design to improved control strategies for fuel cell operation, aimed at avoiding the conditions most detrimental to the fuel cell components . Nowadays, these development tasks can be supported by increasingly capable physically‐based models of both fuel cell operation and degradation, describing the entire causal chain of interconnected degradation mechanisms, e.g., , . The correct identification of individual degradation processes and their causes, however, is a crucial step in both the development of sufficiently detailed degradation models and the resulting mitigation strategies.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper we study the distinction between both processes, i.e., particle agglomeration and Ostwald ripening, using our recently developed model of fuel cell operation and degradation , . The model is calibrated based on the experimental data on the HT‐PEMFC recently published in , and used to model particle growth during long‐term fuel cell operation.…”

Section: Introductionmentioning

confidence: 99%

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Methodology for Evaluation of Contributions of Ostwald Ripening and Particle Agglomeration to Growth of Catalyst Particles in PEM Fuel Cells

2020

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The degradation of the catalyst layer represents one of the main limiting factors in a wider adoption of fuel cells. The identification of the contributions of different mechanisms of catalyst degradation, namely the Ostwald ripening and particle agglomeration, is an important step in the development of mitigation strategies for increasing fuel cell reliability and prolonging its life time. In this paper, the degradation phenomena in high temperature polymer electrolyte membrane fuel cell (HT‐PEMFC) are analyzed using a physically‐based model of fuel cell operation and catalyst degradation, describing carbon corrosion, platinum dissolution and consequent growth of catalyst particles. The model results indicate significantly different time dependence of catalyst particle growth resulting from different mechanisms: linear growth in the case of particle agglomeration and root‐like time dependence for the Ostwald ripening. Based on these results, a new analytic method is proposed, performed by the fitting of a test root‐function to the time profile of the particle size growth and using best‐fit parameters to identify the prevailing growth mechanism. Using this method on a particle growth time trace deduced from in situ cyclic voltammetry measurement during HT‐PEMFC degradation, we are able to identify the agglomeration as the main mechanism of catalyst particle grow.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Methodology for Evaluation of Contributions of Ostwald Ripening and Particle Agglomeration to Growth of Catalyst Particles in PEM Fuel Cells

2020

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“…The conjoint fuel cell operation and degradation models, used in the presented analysis, were already extensively presented in [9,26] for high-temperature PEMFC system modeling purposes. Even though some degradation phenomena are significantly different in LT-PEMFCs, such as membrane degradation because of the difference between membrane materials utilized [27], the carbon support and catalyst materials used in LT-PEMFCs are similar, and thus, a similar mechanism comprising the most significant reaction pathways can be applied here as well [2].…”

Section: Modeling Frameworkmentioning

confidence: 99%

Identifiability Analysis of Degradation Model Parameters from Transient CO2 Release in Low-Temperature PEM Fuel Cell under Various AST Protocols

et al. 2021

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The detrimental effects of the catalyst degradation on the overall envisaged lifetime of low-temperature proton-exchange membrane fuel cells (LT-PEMFCs) represent a significant challenge towards further lowering platinum loadings and simultaneously achieving a long cycle life. The elaborated physically based modeling of the degradation processes is thus an invaluable step in elucidating causal interaction between fuel cell design, its operating conditions, and degradation phenomena. However, many parameters need to be determined based on experimental data to ensure plausible simulation results of the catalyst degradation models, which proves to be challenging with the in situ measurements. To fill this knowledge gap, this paper demonstrates the application of a mechanistically based PEMFC modeling framework, comprising real-time capable fuel cell performance, and platinum and carbon support degradation models, to model transient CO2 release rates in the LT-PEMFCs with the consistent calibration of reaction rate parameters under multiple different accelerated stress tests at once. The results confirm the credibility of the physical and chemical modeling basis of the proposed modeling framework, as well as its prediction and extrapolation capabilities. This is confirmed by an increase of only 29% of root mean square deviations values when using a model calibrated on all three data sets at once in comparison to a model calibrated on only one data set. Furthermore, the unique identifiability and interconnection of individual model calibration parameters are determined via Fisher information matrix analysis. This analysis enables optimal reduction of the set of calibration parameters, which results in the speed up of both the calibration process and the general simulation time while retaining the full extrapolation capabilities of the framework.

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FCEV simulation – Electrochemical battery and fuel cell models on vehicle level

Wurzenberger

Glatz

Rašić³

et al. 2020

Proceedings

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Predictive virtual modelling framework for performance and platinum degradation modelling of high temperature PEM fuel cells

Cited by 10 publications

References 1 publication

Methodology for Evaluation of Contributions of Ostwald Ripening and Particle Agglomeration to Growth of Catalyst Particles in PEM Fuel Cells

Methodology for Evaluation of Contributions of Ostwald Ripening and Particle Agglomeration to Growth of Catalyst Particles in PEM Fuel Cells

Identifiability Analysis of Degradation Model Parameters from Transient CO2 Release in Low-Temperature PEM Fuel Cell under Various AST Protocols

FCEV simulation – Electrochemical battery and fuel cell models on vehicle level

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