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Energy Storage and Management for Electric Vehicles

dc.contributor.authorMarco, James*
dc.contributor.authorTruong, Dinh Quang*
dc.contributor.authorLongo, Stefano*
dc.date.accessioned2021-02-11T12:33:01Z
dc.date.available2021-02-11T12:33:01Z
dc.date.issued2020*
dc.date.submitted2020-01-30 16:39:46*
dc.identifier43627*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/46388
dc.description.abstractThis Special Edition of Energies on “Energy Storage and Management for Electric Vehicles” draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrain. The addressed topics include design optimisation, mathematical modelling, control engineering, thermal management, and component sizing.*
dc.languageEnglish*
dc.subjectTA1-2040*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherbattery charging*
dc.subject.otherlithium ion battery*
dc.subject.otheradaptive forgetting factor*
dc.subject.otheroperating expenses*
dc.subject.othercell sorting*
dc.subject.otherlinear programming*
dc.subject.otherSimulink*
dc.subject.otherequivalent circuit model*
dc.subject.othergenetic algorithm*
dc.subject.othermulti-parameters sorting*
dc.subject.otherhybrid power system*
dc.subject.otherelectric vehicle*
dc.subject.otherenergy storage ageing and degradation*
dc.subject.otherparameter estimation*
dc.subject.otherSimscape*
dc.subject.othersupercapacitors*
dc.subject.otherstate-of-health (SOH)*
dc.subject.otherbattery energy storage system*
dc.subject.otherECE15*
dc.subject.otherefficiency*
dc.subject.otherresidential battery storage*
dc.subject.othertimetable optimization*
dc.subject.otherself-discharge*
dc.subject.otherdynamic programming approach*
dc.subject.otherstate of charge estimation*
dc.subject.otherregenerative energy*
dc.subject.otherfuel cell*
dc.subject.otherenergy storage system*
dc.subject.othernonlinear battery model*
dc.subject.othercharging scheme*
dc.subject.otherLi-Sulfur batteries*
dc.subject.otherMatlab*
dc.subject.otherdynamic flow rate optimization*
dc.subject.otherrule-based optimal strategy*
dc.subject.othersecond-life energy storage applications*
dc.subject.otherIdentification*
dc.subject.otherhybrid vehicle*
dc.subject.otherrecursive least square*
dc.subject.otherthermal modelling*
dc.subject.otherzinc–nickel single-flow battery*
dc.subject.otherLuenberger observer*
dc.subject.otherHPPC*
dc.subject.othervehicle-to-building*
dc.subject.other?-constraint method*
dc.subject.otherlithium-ion battery*
dc.subject.otherlife cycle assessment*
dc.subject.otherparameter identification*
dc.subject.otherLipschitz nonlinear system*
dc.subject.otherlithium titanate oxide batteries*
dc.subject.otherbatteries*
dc.subject.otherbattery degradation*
dc.subject.otherimproved artificial bee colony*
dc.subject.otheroptimal control*
dc.subject.otherthermal behaviour*
dc.subject.othersupercapacitor models*
dc.subject.otherbattery cycle-life extension*
dc.subject.othercycle-life*
dc.subject.otherself-organizing maps clustering*
dc.subject.otherprincipal component analysis*
dc.titleEnergy Storage and Management for Electric Vehicles*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03921-863-9*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783039218639*
oapen.relation.isbn9783039218622*
oapen.pages238*
oapen.edition1st*


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