Identification and monitoring of a PEM electrolyser based on dynamical modelling

摘要: To improve the efficiency and safety of hydrogen electrolysis stations, some technological studies are still under investigation both on methods materials. As methods, control, monitoring diagnosis algorithms relevant tools. This work focuses dynamical modelling Proton Exchange Membrane (PEM) electrolyser. Our contribution consists three parts: to propose a model an analytical–dynamical PEM electrolyser, dedicated control monitoring; identify parameters adequate The proposed is deduced from physical laws electrochemical equations steady-state electric coupled with dynamic thermal model. estimation achieved using identification data fitting techniques based experimental measurements. Taking into account information given by analytical experimentation (temperature T, voltage U current I) identified. After estimating model, model-based used monitor electrolyser ensure its safety. We illustrate how our algorithm can detect isolate faults actuators, sensors or system.