Model-based prognostic algorithm for online RUL estimation of PEMFCs

The proposed work deals with the development of a simple but effective prognostic algorithm, able to predict to a certain extent the Remaining Useful Life (RUL) of a Polymer Electrolyte Membrane Fuel Cell (PEMFC). The algorithm is based on mathematical equations derived from physical analysis of the key degradation mechanisms, mainly focusing on those involving the electrochemical surface area (ECSA). Through the understanding of ECSA reduction rate, a proper formulation for voltage decay is given. This formulation allows performing quick online RUL estimation at given operating conditions, representing a useful guideline for suitable mitigation strategies choice.