03295nam 2200829z- 450 991055762560332120240429215101.0(CKB)5400000000045159(oapen)https://directory.doabooks.org/handle/20.500.12854/69272(EXLCZ)99540000000004515920202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierBattery Management System for Future Electric VehiclesBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (154 p.)3-03943-350-4 3-03943-351-2 The 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.History of engineering & technologybicsscstate of charge (SOC)joint estimationlithium-ion batteryvariational Bayesian approximationdual extended Kalman filter (DEKF)measurement statistic uncertaintyelectric vehiclesrenewable energy sourcesmicrogrideconomic dispatchingcapacity allocationcooperative optimizationSOCsecond-order RC modelmodel parameter optimizationAUKFsmall-signal modelingbattery energy storage systembattery management systemcontrolstabilitydynamic responsewireless powerstate-of-chargeelectric vehicleLiFePO4 batteriesstate of charge (SoC)Butler-Volmer equationArrheniusPeukertcoulomb efficiencyback propagation neural network (BPNN)torque and battery distributionparticle swarm optimizationair-cooled BTMScompact lithium ion battery moduleANNbattery electric vehiclesbattery managementhybrid energy storageHistory of engineering & technologySöffker Dirkedt1280543Moulik BedatriedtSöffker DirkothMoulik BedatriothBOOK9910557625603321Battery Management System for Future Electric Vehicles3017191UNINA