DocumentCode :
2302234
Title :
Prediction and Control of Air Supply Flow in PEMFC
Author :
Wei Guoai ; Quan Shuhai ; Zhu Zhongni ; Pan Mu ; Qi Chengchao
Author_Institution :
Sch. of Automobile Eng., Wuhan Univ. of Technol., Wuhan, China
Volume :
2
fYear :
2010
fDate :
13-14 March 2010
Firstpage :
915
Lastpage :
918
Abstract :
Air supply flow directly affects proton exchange membrane fuel cells´ (PEMFC) performance, when air supply flow exceeded PEMFC demands, lost of heat energy increased and power consumption of air-compressor increased too, so efficiency of generating current was reduced. Whereas, when air flow was under its demands, FC stack would be damaged with output power of PEMFC increasing in some extant. But in PEMFC running, air supply flow lagged FC stack output power changing, so Elman ANN was proposed to predict it in advance, and the result as given value in air supply control system. It adopted Fuzzy-PID compound control to make air supply flow following output power of PEMFC changing. Simulation results showed that Elman ANN predicted air parameters effectively, and Fuzzy-PID compound controller improved dynamic performance of air supply control system distinctly better than traditional PID controller. It satisfied PEMFC demands in electric vehicles (EV).
Keywords :
artificial intelligence; compressors; control engineering computing; flow control; fuel cell vehicles; fuzzy control; neural nets; proton exchange membrane fuel cells; three-term control; Elman ANN; PEMFC; air compressor; air supply control system; air supply flow control; electric vehicles; fuzzy-PID compound control; heat energy lost; power consumption; proton exchange membrane fuel cell; Biomembranes; Control system synthesis; Control systems; DC generators; Energy consumption; Fuel cells; Power generation; Predictive models; Protons; Vehicle dynamics; Elman ANN; Fuzzy-PID compound control; air supply flow; prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
Type :
conf
DOI :
10.1109/ICMTMA.2010.568
Filename :
5459972
Link To Document :
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