Energy Storage and Management for Electric Vehicles
Marco, James
Energy Storage and Management for Electric Vehicles - MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (238 p.)
Open Access
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.
Creative Commons
English
books978-3-03921-863-9 9783039218639 9783039218622
10.3390/books978-3-03921-863-9 doi
battery charging lithium ion battery adaptive forgetting factor operating expenses cell sorting linear programming Simulink equivalent circuit model genetic algorithm multi-parameters sorting hybrid power system electric vehicle energy storage ageing and degradation parameter estimation Simscape supercapacitors state-of-health (SOH) battery energy storage system ECE15 efficiency residential battery storage timetable optimization self-discharge dynamic programming approach state of charge estimation regenerative energy fuel cell energy storage system nonlinear battery model charging scheme Li-Sulfur batteries Matlab dynamic flow rate optimization rule-based optimal strategy second-life energy storage applications Identification hybrid vehicle recursive least square thermal modelling zinc-nickel single-flow battery Luenberger observer HPPC vehicle-to-building ?-constraint method lithium-ion battery life cycle assessment parameter identification Lipschitz nonlinear system lithium titanate oxide batteries batteries battery degradation improved artificial bee colony optimal control thermal behaviour supercapacitor models battery cycle-life extension cycle-life self-organizing maps clustering principal component analysis
Energy Storage and Management for Electric Vehicles - MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (238 p.)
Open Access
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.
Creative Commons
English
books978-3-03921-863-9 9783039218639 9783039218622
10.3390/books978-3-03921-863-9 doi
battery charging lithium ion battery adaptive forgetting factor operating expenses cell sorting linear programming Simulink equivalent circuit model genetic algorithm multi-parameters sorting hybrid power system electric vehicle energy storage ageing and degradation parameter estimation Simscape supercapacitors state-of-health (SOH) battery energy storage system ECE15 efficiency residential battery storage timetable optimization self-discharge dynamic programming approach state of charge estimation regenerative energy fuel cell energy storage system nonlinear battery model charging scheme Li-Sulfur batteries Matlab dynamic flow rate optimization rule-based optimal strategy second-life energy storage applications Identification hybrid vehicle recursive least square thermal modelling zinc-nickel single-flow battery Luenberger observer HPPC vehicle-to-building ?-constraint method lithium-ion battery life cycle assessment parameter identification Lipschitz nonlinear system lithium titanate oxide batteries batteries battery degradation improved artificial bee colony optimal control thermal behaviour supercapacitor models battery cycle-life extension cycle-life self-organizing maps clustering principal component analysis