期刊
ENERGIES
卷 14, 期 14, 页码 -出版社
MDPI
DOI: 10.3390/en14144380
关键词
proton-exchange membrane fuel cell; platinum degradation; mechanistically based; transient real-time modeling; accelerated stress test
资金
- Slovenian Research Agency [P2-0401]
- CD Laboratory for Innovative Control and Monitoring of Automotive Powertrain Systems
- Austrian Research Promotion Agency [854867, 871541]
The study demonstrates the application of a mechanistically based modeling framework for LT-PEMFCs, which includes real-time fuel cell performance, platinum and carbon support degradation models, to simulate transient CO2 release rates. The results confirm the credibility of the proposed modeling framework and its prediction and extrapolation capabilities, with only a 29% increase in root mean square deviations values when using a model calibrated on all three data sets compared to one data set calibration. The analysis also enables optimal reduction of calibration parameters, speeding up the process while retaining full extrapolation capabilities.
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据