作者: Miassa Amira Taleb , Olivier Béthoux , Emmanuel Godoy
DOI: 10.1016/J.IJHYDENE.2016.07.056
关键词: Nonlinear programming 、 Identification (information) 、 Phase (waves) 、 State (computer science) 、 Electrical impedance 、 Series (mathematics) 、 Dielectric spectroscopy 、 Computer science 、 Proton exchange membrane fuel cell 、 Control theory
摘要: Abstract The present paper addresses the important issue of monitoring operating state Polymer Electrolyte Membrane Fuel Cell systems. system takes a model based approach. Its originality lies in adopting fuel cell fractional order impedance which permits to provide better insight into physical phenomena without increasing number parameters. This article first validates experimentally accuracy suggested model, using frequency identification method carried out by nonlinear optimization single experimental spectroscopy data. In second phase, time series is achieved least square specifically designed for models. latter verified on registered data represents basic tool offline monitoring. Subsequently it refined as recursive permitting an online monitoring; validated laboratory test bench.