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dc.contributor.otherSchaltz, Erik
dc.date.accessioned2021-05-01T15:36:15Z
dc.date.available2021-05-01T15:36:15Z
dc.date.issued2020
dc.identifierONIX_20210501_9783039369621_798
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/69052
dc.description.abstractThe global electric car fleet exceeded 7 million battery electric vehicles and plug-in hybrid electric vehicles in 2019, and will continue to increase in the future, as electrification is an important means of decreasing the greenhouse gas emissions of the transportation sector. The energy storage system is a very central component of the electric vehicle. The storage system needs to be cost-competitive, light, efficient, safe, and reliable, and to occupy little space and last for a long time. It should also be produced and disposed of in an environmentally friendly manner. This leaves many research challenges, and the purpose of this book is therefore to provide a platform for sharing the latest findings on energy storage systems for electric vehicles (electric cars, buses, aircraft, ships, etc.) Research in energy storage systems requires several sciences working together, and this book therefore include contributions from many different disciplines; this covers a wide range of topics, e.g. battery-management systems, state-of-charge and state-of-health estimation, thermal-battery-management systems, power electronics for energy storage devices, battery aging modelling, battery reuse and recycling, etc.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherlithium-ion batteries
dc.subject.othernon-aqueous electrolyte
dc.subject.othernitrile-based solvents
dc.subject.otherbutyronitrile
dc.subject.otherSEI forming additives
dc.subject.otherfast charging
dc.subject.otherpower batteries
dc.subject.otherimproved second-order RC equivalent circuit
dc.subject.otherfuzzy unscented Kalman filtering algorithm
dc.subject.otherjoint estimation
dc.subject.otherelectric bus
dc.subject.otherbattery
dc.subject.otherenergy efficiency
dc.subject.otherenvironmental conditions
dc.subject.otherhybrid electric vehicles (HEVs)
dc.subject.otherbattery life
dc.subject.othermulti-objective energy management
dc.subject.otheradaptive equivalent consumption minimization strategy (A-ECMS)
dc.subject.otherpontryagin’s minimum principle (PMP)
dc.subject.otherparticle swarm optimization (PSO)
dc.subject.otherrecurrent-neural-network (RNN)
dc.subject.otherfuel cell hybrid electric vehicle
dc.subject.otherleast squares support vector machines (LSSVM)
dc.subject.otherdriving conditions identification
dc.subject.otherpower distribution
dc.subject.otherelectric vehicle
dc.subject.otherlithium-ion battery
dc.subject.otherestimation
dc.subject.otherKalman filter
dc.subject.otherstate-of-charge
dc.subject.otherstate-of-health
dc.subject.otherresistance
dc.subject.otheropen-circuit voltage
dc.subject.otherbattery capacity
dc.subject.otherbattery modelling and simulation
dc.subject.otherbattery testing cycler
dc.subject.otherbattery thermal model
dc.subject.otherlithium-ion polymer battery
dc.subject.otherSLI battery
dc.subject.otherdual-motor energy recovery
dc.subject.otherregenerative braking system
dc.subject.otherCVT speed ratio control
dc.subject.othermotor minimum loss
dc.subject.otherenergy consumption and efficiency characteristics
dc.subject.otherbraking force distribution
dc.subject.otheroil–electric–hydraulic hybrid system
dc.subject.otherlowest instantaneous energy costs
dc.subject.otherenergy management
dc.subject.otherglobal optimization
dc.subject.otherretired batteries
dc.subject.otherenergy storage applications
dc.subject.otherlayered bidirectional equalization
dc.subject.otherequalization algorithm
dc.subject.otherstate of charge
dc.subject.otheravailable capacity
dc.subject.otheradaptive model-based algorithm
dc.subject.othersquare root cubature Kalman filter
dc.subject.otherli-ion battery
dc.subject.otherperformance degradation modelling
dc.subject.otherelectrified propulsion
dc.subject.otherbattery sizing
dc.subject.otherpowertrain optimization
dc.subject.otheroptimal energy management
dc.subject.otherheat and mass transfer
dc.subject.otherthermal analysis
dc.subject.otherLithium-ion battery
dc.subject.othermicro-channel cooling plate
dc.subject.otherbattery thermal management
dc.subject.otherMeshWorks
dc.subject.otherCFD
dc.subject.otherdiffusion induced stress
dc.subject.otherhydrostatic stress influence on diffusion
dc.subject.otherelectrode particle model
dc.subject.otherbattery mechanical aging
dc.subject.othercoulomb counting
dc.subject.otheropen circuit voltage
dc.subject.otherstate of health
dc.subject.othertemperature
dc.subject.othernew energy vehicle
dc.subject.otherpower battery
dc.subject.otherbattery reusing
dc.subject.otherechelon utilization
dc.subject.otherbattery recycling
dc.subject.otherelectric vehicles
dc.subject.otherelectro-hydraulic braking
dc.subject.otherbraking intention
dc.subject.othermode switching
dc.subject.othertorque coordinated control
dc.subject.otherElectric Truck Simulator
dc.subject.otherElectric Vehicle (EV)
dc.subject.otherVehicle Routing Problem (VRP)
dc.subject.otherTraveling Salesman Problem (TSP)
dc.subject.otherleast-energy routing algorithm
dc.subject.otherEV batteries
dc.subject.othermetric evaluation
dc.subject.otherAC–AC converters
dc.subject.otherbattery chargers
dc.subject.otherpower conversion harmonics
dc.subject.otherwireless power transmission
dc.subject.otherelectrochemical–thermal model
dc.subject.otherartificial intelligence
dc.subject.otherartificial neural networks
dc.subject.otherhybrid vehicles
dc.subject.otherstate-of-charge estimation (SOC)
dc.subject.otherlinear quadratic estimator
dc.subject.otherlithium ion battery
dc.subject.otheriron phosphate
dc.subject.othercell expansion
dc.subject.otherforce
dc.subject.otherlithium-ion cobalt battery
dc.subject.otherstate of energy
dc.subject.otheradaptive EKF SOC estimation
dc.subject.otherlinear observer SOC estimation
dc.subject.otherMATLAB
dc.subject.otherSimscape
dc.subject.otherelectric buses
dc.subject.otherthermal energy storage
dc.subject.otherlatent heat storage
dc.subject.othermetallic phase change material
dc.subject.othercabin heating
dc.subject.otherfuel cell
dc.subject.otherautomated guided vehicle
dc.subject.otherhybrid energy storage system
dc.subject.othermodel-based design
dc.subject.otherwaveforms modeling
dc.subject.otherautoregressive models of nonstationary signals
dc.titleEnergy Storage Systems for Electric Vehicles
dc.typebook
oapen.identifier.doi10.3390/books978-3-03936-963-8
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783039369621
oapen.relation.isbn9783039369638
oapen.pages550
oapen.place.publicationBasel, Switzerland


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