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dc.contributor.authorYuan, Y
dc.contributor.authorZhang, T
dc.contributor.authorShen, B
dc.contributor.authorYan, X
dc.contributor.authorLong, T
dc.date.accessioned2018-10-03T04:45:42Z
dc.date.available2018-10-03T04:45:42Z
dc.date.issued2018
dc.identifier.issn1996-1073
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/283103
dc.description.abstract<jats:p>Energy management strategy is a key technology of hybrid power ships. In recent years, renewable energy ship technologies have become a popular research field and one promising development direction to realize reasonable utilization of energy resource, as well as energy conservation and emission reduction. Among these technologies, the solar energy hybrid ship technology is currently attracting attention all over the word. In this paper, a 5000-car space solar energy hybrid ship is used as the research objective, and an energy management strategy that is based on fuzzy logic is proposed to distribute the ship power generation, solar energy, and battery output power according to the ship’s electrical load demand, and the fuzzification and stochasticity of solar energy. By comparing the simulation results with real ship testing results, it is identified that the proposed fuzzy logic energy management strategy can optimize the operation conditions of individual power generation sources, improve the overall performance of power system, and reduce the ship’s overall fuel consumption.</jats:p>
dc.publisherMDPI AG
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleA fuzzy logic energy management strategy for a photovoltaic/diesel/battery hybrid ship based on experimental database
dc.typeArticle
prism.issueIdentifier9
prism.publicationDate2018
prism.publicationNameEnergies
prism.volume11
dc.identifier.doi10.17863/CAM.30465
dcterms.dateAccepted2018-08-23
rioxxterms.versionofrecord10.3390/en11092211
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-01-01
dc.contributor.orcidShen, Boyang [0000-0001-8169-6588]
dc.contributor.orcidLong, Teng [0000-0003-4401-102X]
dc.identifier.eissn1996-1073
rioxxterms.typeJournal Article/Review
cam.issuedOnline2018-08-23


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International