Hybrid stochastic-deterministic algorithms for the interpretation of Electrochemical Impedance Spectroscopy spectra of Proton Exchange Membrane Fuel Cells: data for replication

Theses documents relate to the interpretation of Electrochemical Impedance Spectrocopy (EIS) data of Proton Exchange Membrane Fuel Cells (PEMFC) by an Equivalent Electrical Circuit (EEC) approach using hybrid algorithms. The hybrid algorithms are combinations of a stochastic (Genetic Algorithm - GA, Particle Swarm Optimization - PS(O) or Simulated Annealing - SA) and a deterministic (Nelder-Mead - NM) part. More specifically, the dossier contains experimental and simulated data, as well as execution programs (Matlab) for their processing.