LEADER 03891nam 2200829z- 450 001 9910619471303321 005 20231214133045.0 010 $a3-0365-5278-2 035 $a(CKB)5670000000391561 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/93229 035 $a(EXLCZ)995670000000391561 100 $a20202210d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPower Electronics and Energy Management for Battery Storage Systems 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (174 p.) 311 $a3-0365-5277-4 330 $aThe deployment of distributed renewable generation and e-mobility systems is creating a demand for improved dynamic performance, flexibility, and resilience in electrical grids. Various energy storages, such as stationary and electric vehicle batteries, together with power electronic interfaces, will play a key role in addressing these requests thanks to their enhanced functionality, fast response times, and configuration flexibility. For the large-scale implementation of this technology, the associated enabling developments are becoming of paramount importance. These include energy management algorithms; optimal sizing and coordinated control strategies of different storage technologies, including e-mobility storage; power electronic converters for interfacing renewables and battery systems, which allow for advanced interactions with the grid; and increase in round-trip efficiencies by means of advanced materials, components, and algorithms. This Special Issue contains the developments that have been published b researchers in the areas of power electronics, energy management and battery storage. A range of potential solutions to the existing barriers is presented, aiming to make the most out of these emerging technologies. 606 $aTechnology: general issues$2bicssc 606 $aChemical engineering$2bicssc 610 $ahigh-gain non-inverting buck-boost converter 610 $acontinuous conduction mode (CCM) 610 $adiscontinuous conduction mode 610 $aelectric vehicles 610 $astationary battery energy storage system 610 $abattery automated system 610 $aonline state estimation 610 $athermal modeling 610 $afirst-order model 610 $asecond-order model 610 $aKalman filtering 610 $aimpedance network 610 $aZ-source 610 $aquasi-Z-source 610 $avoltage source inverter 610 $avoltage distortions 610 $amachine learning 610 $aKalman filter 610 $athermal modelling 610 $aonline prediction 610 $aelectromagnetic impedance spectroscopy 610 $acomputational cost 610 $aANPC converter 610 $aEV charging 610 $amultilevel converter 610 $aPWM methods 610 $aSiC MOSFETs 610 $aresidential energy storage 610 $abattery energy storage systems 610 $astandards 610 $agrid interfaceconverters 610 $aintellectual property 610 $abidirectional converters 610 $aAC-DC power converters 610 $aDC-DC powerconverters 610 $amultilevel converters 610 $apartial power converters 610 $a  615 7$aTechnology: general issues 615 7$aChemical engineering 700 $aBlinov$b Andrei$4edt$01291909 702 $aWilliamson$b Sheldon$4edt 702 $aBlinov$b Andrei$4oth 702 $aWilliamson$b Sheldon$4oth 906 $aBOOK 912 $a9910619471303321 996 $aPower Electronics and Energy Management for Battery Storage Systems$93022067 997 $aUNINA