TY - GEN AU - Marco,James AU - Truong,Dinh Quang AU - Longo,Stefano TI - Energy Storage and Management for Electric Vehicles SN - books978-3-03921-863-9 PY - 2020/// PB - MDPI - Multidisciplinary Digital Publishing Institute KW - battery charging KW - lithium ion battery KW - adaptive forgetting factor KW - operating expenses KW - cell sorting KW - linear programming KW - Simulink KW - equivalent circuit model KW - genetic algorithm KW - multi-parameters sorting KW - hybrid power system KW - electric vehicle KW - energy storage ageing and degradation KW - parameter estimation KW - Simscape KW - supercapacitors KW - state-of-health (SOH) KW - battery energy storage system KW - ECE15 KW - efficiency KW - residential battery storage KW - timetable optimization KW - self-discharge KW - dynamic programming approach KW - state of charge estimation KW - regenerative energy KW - fuel cell KW - energy storage system KW - nonlinear battery model KW - charging scheme KW - Li-Sulfur batteries KW - Matlab KW - dynamic flow rate optimization KW - rule-based optimal strategy KW - second-life energy storage applications KW - Identification KW - hybrid vehicle KW - recursive least square KW - thermal modelling KW - zinc-nickel single-flow battery KW - Luenberger observer KW - HPPC KW - vehicle-to-building KW - ?-constraint method KW - lithium-ion battery KW - life cycle assessment KW - parameter identification KW - Lipschitz nonlinear system KW - lithium titanate oxide batteries KW - batteries KW - battery degradation KW - improved artificial bee colony KW - optimal control KW - thermal behaviour KW - supercapacitor models KW - battery cycle-life extension KW - cycle-life KW - self-organizing maps clustering KW - principal component analysis N1 - Open Access N2 - This Special Edition of Energies on "Energy Storage and Management for Electric Vehicles" draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrain. The addressed topics include design optimisation, mathematical modelling, control engineering, thermal management, and component sizing UR - https://www.mdpi.com/books/pdfview/book/1948 UR - https://directory.doabooks.org/handle/20.500.12854/46388 ER -