Title :
Model Predictive Control for Multivariate PEMFC Stack Temperature System
Author :
Fan, Yang ; Fu Yang
Author_Institution :
Coll. of Electr. Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
Abstract :
To improve availability and performance of fuel cells, the operating temperature of a low-power proton exchange membrane fuel cell (PEMFC) stack should be controlled within a specified range. This paper introduces the application of model predictive control for a PEMFC temperature, which consists of two actuators including coolant pump and coolant fan. The PEMFC system can be identified off-line, and a predictive control could ensure the desired temperature by adjusting the coolant pump and coolant fan. The simulation tests show the temperature of PEMFC system can be effectively close to the desired setpoint, and it is robust to the disturbance.
Keywords :
predictive control; proton exchange membrane fuel cells; temperature control; actuators; coolant fan; coolant pump; model predictive control; multivariate PEMFC; proton exchange membrane fuel cell stack; temperature control; Actuators; Availability; Biomembranes; Coolants; Fuel cells; Predictive control; Predictive models; Protons; Temperature control; Temperature distribution;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5449236
