1. Nonlinear model predictive control methodology for efficiency and durability improvement in a fuel cell power system
- Author
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Luna Pacho, Julio Alberto, Jemei, Samir, Yousfi-Steiner, Nadia, Husar, Attila Peter|||0000-0001-8503-3837, Serra, Maria|||0000-0002-9885-8093, Institut de Robòtica i Informàtica Industrial, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, and Universitat Politècnica de Catalunya. ACES - Control Avançat de Sistemes d'Energia
- Subjects
distributed parameter system ,Informàtica::Automàtica i control [Àrees temàtiques de la UPC] ,model predictive control ,nonlinear observer ,starvation ,PEMFC ,Control theory::Predictive control [Classificació INSPEC] ,degradation - Abstract
The main contribution of this work is the improvement of the efficiency of a PEMFC power system while guaranteeing conditions that also improve its durability. Adopting the NMPC scheme with the distributed parameter model and the nonlinear observer, the efficiency of the PEMFC-based system can be maximized guaranteeing at the same time the appropriate internal gas concentration profiles to avoid global and local hydrogen and oxygen starvation and proper membrane humidification.