Title :
Temperature modeling of PEM Fuel cell based on fuzzy strategy
Author :
Yan Qun ; Li Qing ; Zhang Peichang ; Yu DaTai
Author_Institution :
Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fDate :
May 31 2014-June 2 2014
Abstract :
Proton Exchange Membrane Fuel cell has many perfect characters and becomes one of the most important research subjects among domestic and international fuel cell fields. Heat transfer management is one of the key technologies for PEM fuel cell. This paper built a temperature model of PEM fuel cell based on fuzzy technology, which divided the fuzzy space evenly by established rules, got the number of fuzzy rules and rules application degree, identified the consequent parameters by least square method. This model is fit for multi-variables and has simple construction and high accuracy. Finally, simulation examples show the effectiveness of the modeling.
Keywords :
heat transfer; least squares approximations; proton exchange membrane fuel cells; PEM fuel cell; fuzzy strategy; fuzzy technology; heat transfer management; least square method; proton exchange membrane fuel cell; rule application degree; temperature model; temperature modeling; Atmospheric modeling; Data models; Fuel cells; Heating; Power generation; Vectors; PEM fuel cell; T-S model; fuzzy identification; temperature system;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852572
