Andraž Kravos
University of Ljubljana
13 Papers
10 Citations
Andraž Kravos is an academic researcher from University of Ljubljana. The author has contributed to research in topics: Proton exchange membrane fuel cell & Computer science. The author has an hindex of 4, co-authored 7 publications.
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Papers
Methodology for evaluation of contributions of Ostwald ripening and particle agglomeration to growth of catalyst particles in PEM fuel cells
TL;DR: 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.
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Predictive system-level modeling framework for transient operation and cathode platinum degradation of high temperature proton exchange membrane fuel cells
TL;DR: In this article, an innovative real-time capable system-level modeling framework based on the following: (a) a mechanistic spatially and temporally resolved model of HT-PEMFC operation, and (b) a degradation modeling framework, based on interacting individual cathode platinum degradation mechanisms.
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Methodology for efficient parametrisation of electrochemical PEMFC model for virtual observers: Model based optimal design of experiments supported by parameter sensitivity analysis
TL;DR: Results reveal that application of D-optimal DoE enables enhancement of calibration parameters information resulting in up to order of magnitude lower relative standard errors on smaller data-sets and increased information and thus identifiability, inherently leads to improved robustness of the FC electrochemical model.
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Real-time capable transient model of liquid water dynamics in proton exchange membrane Fuel Cells
TL;DR: In this article , a 1D+1D system level physically motivated two-phase model of PEM fuel cells is presented, which enables consistent treatment of liquid water dynamics on the system level in all seven most influential regions of the PEMFC, namely membrane, anode and cathode channels, GDLs, and catalyst layers.
Predictive virtual modelling framework for performance and platinum degradation modelling of high temperature PEM fuel cells
TL;DR: An innovative modelling framework is presented based on a mechanistically based spatially and temporally resolved HT-PEMFC performance model and modular degradation modelling framework based on interacting partial platinum degradation mechanisms for more efficient and systematic model supported design of FCs and in-depth understanding of cause and effect chain from FC operation to its degradation.
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