@article{JahnkeFutterLatzetal.2016, author = {Thomas Jahnke and Georg Futter and Arnulf Latz and Thomas Malkow and Georgios Papakonstantinou and Georgios Tschotridis and Pascal Schott and Mathias G{\´e}rard and Manuelle Quinaud and Matias Quiroga and Alejandro A. Franco and Kourosh Malek and Frederico Calle-Valejo and Rodrigo Ferreira de Morais and Torsten Kerber and Philippe Sautet and David Loffreda and Stephan Strahl and Maria Serra and Pierpaolo Polverino and Cesare Pianese and Manik Mayur and Wolfgang G. Bessler and Costis Kompis}, title = {Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale}, series = {Journal of Power Sources}, volume = {304}, publisher = {Elsevier}, issn = {0378-7753}, doi = {10.1016/j.jpowsour.2015.11.041}, pages = {207 -- 233}, year = {2016}, abstract = {Proton Exchange Membrane Fuel Cells (PEMFC) are energy efficient and environmentally friendly alternatives to conventional energy conversion systems in many yet emerging applications. In order to enable prediction of their performance and durability, it is crucial to gain a deeper understanding of the relevant operation phenomena, e.g., electrochemistry, transport phenomena, thermodynamics as well as the mechanisms leading to the degradation of cell components. Achieving the goal of providing predictive tools to model PEMFC performance, durability and degradation is a challenging task requiring the development of detailed and realistic models reaching from the atomic/molecular scale over the meso scale of structures and materials up to components, stack and system level. In addition an appropriate way of coupling the different scales is required. This review provides a comprehensive overview of the state of the art in modeling of PEMFC, covering all relevant scales from atomistic up to system level as well as the coupling between these scales. Furthermore, it focuses on the modeling of PEMFC degradation mechanisms and on the coupling between performance and degradation models.}, language = {en} }