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dc.contributor.authorDaniela Chrenko
dc.contributor.authorAlain Bouscayrol
dc.contributor.authorMarie-Cécile Péra
dc.contributor.authorDaniel Hissel
dc.date.accessioned2017-05-09T00:33:28Z
dc.date.available2017-05-09T00:33:28Z
dc.date.copyrightMay, 2009
dc.date.issued2009
dc.identifier.issn2381-6872
dc.identifier.otherJFCSAU-28937#024501_1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/140880
dc.description.abstractThis paper introduces a fuel cell system model based on energetic macroscopic representation (EMR). EMR is a causal graphic modeling approach to describe complex multidomain systems, which facilitates inversion-based control structure development called maximum control structure (MCS). The EMR model is derived for a commercially available fuel cell system and corresponds well with experimental results. An inversion-based control is proposed for the air supply subsystem. The control corresponds well with the unknown internal control. The application of EMR and MCS marks a promising approach: Control structure development based on experience is replaced by a systematic approach. This is especially meaningful for complex multidomain systems such as fuel cell systems.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleInversion-Based Control of a Proton Exchange Membrane Fuel Cell System Using Energetic Macroscopic Representation
dc.typeJournal Paper
dc.journal.volume6
dc.journal.issue2
dc.journal.titleJournal of Fuel Cell Science and Technology
dc.identifier.doi10.1115/1.2971133
dc.journal.fristpage24501
dc.identifier.eissn2381-6910
dc.keywordsElectromagnetic radiation
dc.keywordsFuel cells
dc.keywordsElectric potential AND Modeling
dc.treeJournal of Fuel Cell Science and Technology:;2009:;volume( 006 ):;issue: 002
dc.contenttypeFulltext


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