Control of proton exchange membrane fuel cell based on fuzzy logic

Zhan, Y; Zhu, J; Guo, Y; Jin, J

Control of proton exchange membrane fuel cell based on fuzzy logic

Zhan, Y Zhu, J

Guo, Y

Jin, J

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 26th Chinese Control Conference, CCC 2007, 2007, pp. 345 - 349
Issue Date:: 2007-12-01

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Field	Value	Language
dc.contributor.author	Zhan, Y	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684	en_US
dc.contributor.author	Jin, J	en_US
dc.date.issued	2007-12-01	en_US
dc.identifier.citation	Proceedings of the 26th Chinese Control Conference, CCC 2007, 2007, pp. 345 - 349	en_US
dc.identifier.isbn	7900719229	en_US
dc.identifier.isbn	9787900719225	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2858
dc.description.abstract	This paper presents a control strategy suitable for hydrogen/air proton-exchange membrane fuel cells (PEMFCs), based on the process modeling using fuzzy logic. The control approach is tested using a PEMFC stack consisting of 32 cells with parallel channels. An optimal fuzzy-PI controller is designed to mainly control the hydrogen and air/oxygen mass flows, and auxiliary variables such as the temperature, pressure, humidity of the membrane, and proportion of stoichiometry. The fuzzy logic controller possesses many advantages over the PID controllers, such as a higher performance/cost ratio. It is shown experimentally that the optimal fuzzy-PI controller can improve the voltage and current performance of the system when the load changes.	en_US
dc.relation.ispartof	Proceedings of the 26th Chinese Control Conference, CCC 2007	en_US
dc.relation.isbasedon	10.1109/CHICC.2006.4347096	en_US
dc.title	Control of proton exchange membrane fuel cell based on fuzzy logic	en_US
dc.type	Conference Proceeding
utslib.for	0902 Automotive Engineering	en_US
dc.location.activity	Zhangjiajie, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

This paper presents a control strategy suitable for hydrogen/air proton-exchange membrane fuel cells (PEMFCs), based on the process modeling using fuzzy logic. The control approach is tested using a PEMFC stack consisting of 32 cells with parallel channels. An optimal fuzzy-PI controller is designed to mainly control the hydrogen and air/oxygen mass flows, and auxiliary variables such as the temperature, pressure, humidity of the membrane, and proportion of stoichiometry. The fuzzy logic controller possesses many advantages over the PID controllers, such as a higher performance/cost ratio. It is shown experimentally that the optimal fuzzy-PI controller can improve the voltage and current performance of the system when the load changes.

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http://hdl.handle.net/10453/2858