Degradations analysis and aging modeling for health assessment and prognostics of PEMFC

摘要: Applying prognostics to Proton Exchange Membrane Fuel Cell (PEMFC) stacks is a good solution help taking actions extending their lifetime. However, it requires great understanding of the degradation mechanisms and failures occurring within stack. This task not simple when applied PEMFC due different levels (stack - cells components), scales multiple causes that lead degradation. To overcome this problem, work proposes methodology dedicated setting framework modeling aging for prognostics. based on deep literature review analyses stacks. analysis allows defining proper vocabulary PEMFC׳s health management clear limited perform Then degradations used select critical components stack, define failure thanks proposal new fault trees. The impact these power loss during included model finally validated four datasets with mission profiles both assessment