LEADER 03340nam  2200853z- 450 
001 9910557625603321
005 20210501
035   $a(CKB)5400000000045159
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69272
035   $a(oapen)doab69272
035   $a(EXLCZ)995400000000045159
100   $a20202105d2020      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aBattery Management System for Future Electric Vehicles
210   $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020
215   $a1 online resource (154 p.)
311 08$a3-03943-350-4 
311 08$a3-03943-351-2 
330   $aThe 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.
606   $aHistory of engineering and technology$2bicssc
610   $aair-cooled BTMS
610   $aANN
610   $aArrhenius
610   $aAUKF
610   $aback propagation neural network (BPNN)
610   $abattery electric vehicles
610   $abattery energy storage system
610   $abattery management
610   $abattery management system
610   $aButler-Volmer equation
610   $acapacity allocation
610   $acompact lithium ion battery module
610   $acontrol
610   $acooperative optimization
610   $acoulomb efficiency
610   $adual extended Kalman filter (DEKF)
610   $adynamic response
610   $aeconomic dispatching
610   $aelectric vehicle
610   $aelectric vehicles
610   $ahybrid energy storage
610   $ajoint estimation
610   $aLiFePO4 batteries
610   $alithium-ion battery
610   $ameasurement statistic uncertainty
610   $amicrogrid
610   $amodel parameter optimization
610   $an/a
610   $aparticle swarm optimization
610   $aPeukert
610   $arenewable energy sources
610   $asecond-order RC model
610   $asmall-signal modeling
610   $aSOC
610   $astability
610   $astate of charge (SoC)
610   $astate of charge (SOC)
610   $astate-of-charge
610   $atorque and battery distribution
610   $avariational Bayesian approximation
610   $awireless power
615  7$aHistory of engineering and technology
700   $aSo?ffker$b Dirk$4edt$01280543
702   $aMoulik$b Bedatri$4edt
702   $aSo?ffker$b Dirk$4oth
702   $aMoulik$b Bedatri$4oth
906   $aBOOK
912   $a9910557625603321
996   $aBattery Management System for Future Electric Vehicles$93017191
997   $aUNINA