Degradation modeling of high temperature proton exchange membrane fuel cells using dual time scale simulation

Pohl, Elmar; Maximini, Marius; Bauschulte, Ansgar; Schloss, J. vom; Hermanns, Rte Roy

doi:10.1016/j.jpowsour.2014.11.054

Cited by 14 publications

(5 citation statements)

References 32 publications

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“…The irreversible voltage loss is the sum of the activation overpotential, ohmic overpotential, and concentration overpotential. The activation overpotential is caused by the limited rate of charge transfer and other activated processes [20]. It is noted that the activation overpotential at the anode is usually negligible compared to that of the cathode, because the cathode activation loss (due to the slow, multiple-step oxygen reduction process at the cathode side) is several magnitudes larger than the anode activation loss (due to hydrogen oxidation, which is a very fast and easily occurring electrochemical process) [21,22].…”

Section: Current Densitymentioning

confidence: 99%

“…Moreover, when the PEMFC is operating above/below the equilibrium potential, Pt ions are driven into/from the water [23]. The PEMFC actual potential decreases from its equilibrium potential because of irreversible losses [20]. Ahluwalia et al [24] proposed the solid solution theory to explain the effects of the Pt nanoparticle size, oxide coverage, and potential on the equilibrium dissolved Pt concentration based on cyclic voltammetry spectroscopy.…”

Section: Current Densitymentioning

confidence: 99%

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Analysis of the Influence of Component Degradation on Different Degradation Indexes of PEMFC

Fan,

Gao,

et al. 2023

Energies

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To study the effect of component degradation on different degradation indexes of the proton exchange membrane fuel cell (PEMFC), a novel model of the PEMFC based on component properties was established. Firstly, the four main components, namely the proton exchange membrane (PEM), catalyst layer (CL), gas diffusion layer (GDL), and bipolar plate (BP), were selected. Moreover, a model of each component reflecting their properties was established and verified. Secondly, calculations of the component properties at the initial state and 5% changed were conducted. The results showed that the effects of the different components’ degradation on the different performance and distribution indexes were different. Considering the nine indexes comprehensively, the influence of component degradation on performance degradation was as follows: GDL > PEM = CL > BP.

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Section: Current Densitymentioning

confidence: 99%

Section: Current Densitymentioning

confidence: 99%

Analysis of the Influence of Component Degradation on Different Degradation Indexes of PEMFC

Fan,

Gao,

et al. 2023

Energies

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“…Due to the simultaneous action of different intertwined mechanisms featuring different dependencies on the local values of specific operational parameters, lumped degradation models cannot adequately simulate FC degradation. This is reasoned by the fact that the whole chain of individual degradation mechanisms in the empirical modeling approach used in lumped degradation models [5][6][7] does not consider the spatial and temporal resolution of these specific operational parameters.…”

Section: Introductionmentioning

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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“…used the linear regression models to fit degradation paths and predicted SEM reliability in terms of the billing function. Pohl et al . presented a novel approach for dual time scale simulation of fuel cell degradation that reduced the simulation time by approximately 73% compared with a conventional simulation approach and without losing too much accuracy.…”

Section: Introductionmentioning

confidence: 99%

Two life prediction models for optoelectronic displays without conventional life tests

et al. 2020

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To precisely predict the life of optoelectronic displays over a short time, two life prediction models were established based on the three‐parameter Weibull right approximation method (TPWRAM). In Model I, the acceleration life under each stress was obtained using TPWRAM, the data points formed by acceleration life and acceleration stress were, respectively, fitted by three extrapolation functions and the optimal extrapolation function was determined by comparing the fitting determination coefficient and root‐mean‐square error. In Model II, after introducing an acceleration parameter, the luminance attenuation data under conventional stress were calculated directly by combining the ones obtained using TPWRAM under each acceleration stress. The luminance attenuation test data from the vacuum fluorescent display (VFD) were collected through four groups of constant‐stress accelerated degradation tests (ADT), and the two models were applied to the life prediction of VFD. The results indicated that the designed ADT scheme was feasible, Model I revealed the changing law of life with stress and simplified the process of life prediction, and Model II made it possible to obtain the luminance attenuation formula at conventional stress without conducting a conventional life test, overcoming the shortcomings of long time‐consuming traditional life tests. It was verified by comparing the life prediction values that the two models had very high precision, and both of these not only achieve the accurate estimation of optoelectronic product life without resorting to conventional life test, but also improved the method of life prediction and perfect its theoretical system.

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Degradation modeling of high temperature proton exchange membrane fuel cells using dual time scale simulation

Cited by 14 publications

References 32 publications

Analysis of the Influence of Component Degradation on Different Degradation Indexes of PEMFC

Analysis of the Influence of Component Degradation on Different Degradation Indexes of PEMFC

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

Two life prediction models for optoelectronic displays without conventional life tests

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