LEADER 03598nam  2201021z- 450 
001 9910372784803321
005 20231214133552.0
010   $a3-03921-863-8
035   $a(CKB)4100000010163778
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/46388
035   $a(EXLCZ)994100000010163778
100   $a20202102d2020      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aEnergy Storage and Management for Electric Vehicles
210   $cMDPI - Multidisciplinary Digital Publishing Institute$d2020
215   $a1 electronic resource (238 p.)
311   $a3-03921-862-X 
330   $aThis 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.
610   $abattery charging
610   $alithium ion battery
610   $aadaptive forgetting factor
610   $aoperating expenses
610   $acell sorting
610   $alinear programming
610   $aSimulink
610   $aequivalent circuit model
610   $agenetic algorithm
610   $amulti-parameters sorting
610   $ahybrid power system
610   $aelectric vehicle
610   $aenergy storage ageing and degradation
610   $aparameter estimation
610   $aSimscape
610   $asupercapacitors
610   $astate-of-health (SOH)
610   $abattery energy storage system
610   $aECE15
610   $aefficiency
610   $aresidential battery storage
610   $atimetable optimization
610   $aself-discharge
610   $adynamic programming approach
610   $astate of charge estimation
610   $aregenerative energy
610   $afuel cell
610   $aenergy storage system
610   $anonlinear battery model
610   $acharging scheme
610   $aLi-Sulfur batteries
610   $aMatlab
610   $adynamic flow rate optimization
610   $arule-based optimal strategy
610   $asecond-life energy storage applications
610   $aIdentification
610   $ahybrid vehicle
610   $arecursive least square
610   $athermal modelling
610   $azinc?nickel single-flow battery
610   $aLuenberger observer
610   $aHPPC
610   $avehicle-to-building
610   $a?-constraint method
610   $alithium-ion battery
610   $alife cycle assessment
610   $aparameter identification
610   $aLipschitz nonlinear system
610   $alithium titanate oxide batteries
610   $abatteries
610   $abattery degradation
610   $aimproved artificial bee colony
610   $aoptimal control
610   $athermal behaviour
610   $asupercapacitor models
610   $abattery cycle-life extension
610   $acycle-life
610   $aself-organizing maps clustering
610   $aprincipal component analysis
700   $aMarco$b James$4auth$01302964
702   $aTruong$b Dinh Quang$4auth
702   $aLongo$b Stefano$4auth
906   $aBOOK
912   $a9910372784803321
996   $aEnergy Storage and Management for Electric Vehicles$93026780
997   $aUNINA