Show simple item record

dc.contributorCosta Castelló, Ramon
dc.contributor.authorCecilia Piñol, Andreu
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.description.abstractWater management in polymer electrolyte membrane fuel cells (PEMFCs) is one of the most challenging issues affecting PEMFC efficiency and lifetime. Liquid water active control and supervision techniques are limited by the absence of online sensors that can estimate the liquid water saturation. A promising technique that can be applied in this context are state observers. However, fuel cell models are related with nonlinearities, model uncertainty and sensor noise, which poses as major difficulties in observer design. In this project, a novel nonlinear adaptive observer algorithm will be developed to estimate online the states and unknown model parameters related to the PEMFC water dynamics. The algorithm is shown to provide an accurate estimation even in the presence of sensor noise and model inaccuracies. The convergence of the observer is proven through formal Lyapunov arguments. Moreover, the algorithm is validated through numerical simulations and experimental data.
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Energies::Tecnologia energètica::Emmagatzematge i transport de l'energia
dc.subject.lcshPEM fuel cells
dc.titleObserver for State and Parameter Estimation in PEM Fuel Cells
dc.typeMaster thesis
dc.subject.lemacPiles de combustible de membrana d'intercanvi de protons
dc.rights.accessRestricted access - confidentiality agreement
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria Industrial de Barcelona

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-ShareAlike 3.0 Spain