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dc.contributor.editorSöffker, Dirk
dc.contributor.editorMoulik, Bedatri
dc.date.accessioned2021-05-01T15:45:30Z
dc.date.available2021-05-01T15:45:30Z
dc.date.issued2020
dc.identifierONIX_20210501_9783039433506_1018
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/69272
dc.description.abstractThe future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimized for a safe and reliable operation and prolonged life. Improved charging techniques need to be developed to protect and preserve the battery. The scope of this Special Issue is to address all the above issues by promoting innovative design concepts, modeling and state estimation techniques, charging/discharging management, and hybridization with other storage components.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
dc.subject.otherstate of charge (SOC)
dc.subject.otherjoint estimation
dc.subject.otherlithium-ion battery
dc.subject.othervariational Bayesian approximation
dc.subject.otherdual extended Kalman filter (DEKF)
dc.subject.othermeasurement statistic uncertainty
dc.subject.otherelectric vehicles
dc.subject.otherrenewable energy sources
dc.subject.othermicrogrid
dc.subject.othereconomic dispatching
dc.subject.othercapacity allocation
dc.subject.othercooperative optimization
dc.subject.otherSOC
dc.subject.othersecond-order RC model
dc.subject.othermodel parameter optimization
dc.subject.otherAUKF
dc.subject.othersmall-signal modeling
dc.subject.otherbattery energy storage system
dc.subject.otherbattery management system
dc.subject.othercontrol
dc.subject.otherstability
dc.subject.otherdynamic response
dc.subject.otherwireless power
dc.subject.otherstate-of-charge
dc.subject.otherelectric vehicle
dc.subject.otherLiFePO4 batteries
dc.subject.otherstate of charge (SoC)
dc.subject.otherButler–Volmer equation
dc.subject.otherArrhenius
dc.subject.otherPeukert
dc.subject.othercoulomb efficiency
dc.subject.otherback propagation neural network (BPNN)
dc.subject.othertorque and battery distribution
dc.subject.otherparticle swarm optimization
dc.subject.otherair-cooled BTMS
dc.subject.othercompact lithium ion battery module
dc.subject.otherANN
dc.subject.otherbattery electric vehicles
dc.subject.otherbattery management
dc.subject.otherhybrid energy storage
dc.subject.othern/a
dc.titleBattery Management System for Future Electric Vehicles
dc.typebook
oapen.identifier.doi10.3390/books978-3-03943-351-3
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783039433506
oapen.relation.isbn9783039433513
oapen.pages154
oapen.place.publicationBasel, Switzerland


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