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dc.contributor.authorOlle Sundström
dc.contributor.authorAnna Stefanopoulou
dc.date.accessioned2017-05-09T00:24:26Z
dc.date.available2017-05-09T00:24:26Z
dc.date.copyrightMay, 2007
dc.date.issued2007
dc.identifier.issn2381-6872
dc.identifier.otherJFCSAU-28929#176_1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/136132
dc.description.abstractThis study presents a simplified model of a midsized vehicle powered by a polymer electrolyte membrane fuel cell stack together with a lead-acid battery as an energy buffer. The model is used with dynamic programming in order to find the optimal coordination of the two power sources while penalizing transient excursions in oxygen concentration in the fuel cell and the state of charge in the battery. The effects of the battery size on the overall energy losses for different drive cycles are determined, and the optimal power split policies are analyzed to quantify all the energy losses and their paths in an effort to clarify the hybridization needs for a fuel cell vehicle with constraints on dynamically varying variables. Finally, a causal nonpredictive controller is presented. The battery sizing results from the dynamic programming optimizations and the causal controller are compared.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleOptimum Battery Size for Fuel Cell Hybrid Electric Vehicle With Transient Loading Consideration—Part II
dc.typeJournal Paper
dc.journal.volume4
dc.journal.issue2
dc.journal.titleJournal of Fuel Cell Science and Technology
dc.identifier.doi10.1115/1.2713779
dc.journal.fristpage176
dc.journal.lastpage184
dc.identifier.eissn2381-6910
dc.keywordsControl equipment
dc.keywordsFuel cells
dc.keywordsCycles
dc.keywordsBatteries
dc.keywordsDynamic programming
dc.keywordsVehicles
dc.keywordsEnergy dissipation AND Hydrogen
dc.treeJournal of Fuel Cell Science and Technology:;2007:;volume( 004 ):;issue: 002
dc.contenttypeFulltext


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