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Enhancing the efficiency and lifetime of a proton exchange membrane fuel cell using nonlinear model-predictive control with nonlinear observation

Autor
Luna, J.; Usai, E.; Husar, A.; Serra, M.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on industrial electronics
Data de publicació
2017-08-01
Volum
64
Número
8
Pàgina inicial
6649
Pàgina final
6659
DOI
https://doi.org/10.1109/TIE.2017.2682787 Obrir en finestra nova
Projecte finançador
Estimación,diagnosis y control para la mejora de la eficiencia de la vida útil de las pilas de combustible tipo PEM.
Innovative cost improvements for balance of plant components of automotive PEMFC systems
Repositori
http://hdl.handle.net/2117/116537 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/document/7880649/ Obrir en finestra nova
Resum
The aim of this research is to develop and test in a simulation environment an advanced model-based control solution for a proton exchange membrane fuel cell (PEMFC) system. A nonlinear model-predictive control (NMPC) strategy is proposed to maximize the active catalytic surface area at the cathode catalyst layer to increase the available reaction area of the stack and to avoid starvation at the catalyst sites. The PEMFC stack model includes a spatial discretization that permits the control stra...
Citació
Luna, J., Usai, E., Husar, A., Serra, M. Enhancing the efficiency and lifetime of a proton exchange membrane fuel cell using nonlinear model-predictive control with nonlinear observation. "IEEE transactions on industrial electronics", 1 Agost 2017, vol. 64, núm. 8, p. 6649-6659.
Paraules clau
Control nonlinearities, Degradation, degradation, electrochemically active surface area, nonlinear model predictive control, nonlinear model-predictive control (NMPC), nonlinear observation, observability, power system control, predictive control, proton exchange membrane fuel cells, proton exchange membrane fuel cells (PEMFCs), starvation
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants