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

fYear

2010

fDate

28-31 March 2010

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/APPEEC.2010.5449236

Filename

5449236