Reprint
Energy Storage and Management for Electric Vehicles
Edited by
January 2020
238 pages
- ISBN978-3-03921-862-2 (Paperback)
- ISBN978-3-03921-863-9 (PDF)
This book is a reprint of the Special Issue Energy Storage and Management for Electric Vehicles that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
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.
Format
- Paperback
License
© 2020 by the authors; CC BY license
Keywords
zinc–nickel single-flow battery; equivalent circuit model; self-discharge; dynamic flow rate optimization; genetic algorithm; hybrid power system; electric vehicle; rule-based optimal strategy; dynamic programming approach; thermal modelling; thermal behaviour; lithium titanate oxide batteries; optimal control; supercapacitors; batteries; fuel cell; hybrid vehicle; battery degradation; battery energy storage system; charging scheme; efficiency; electric vehicle; linear programming; lithium ion battery; operating expenses; residential battery storage; vehicle-to-building; supercapacitor models; parameter estimation; ECE15; HPPC; Simulink; Simscape; Matlab; Identification; regenerative energy; timetable optimization; energy storage system; ϵ-constraint method; improved artificial bee colony; lithium-ion battery; equivalent circuit model; recursive least square; adaptive forgetting factor; parameter identification; energy storage ageing and degradation; life cycle assessment; second-life energy storage applications; Li-Sulfur batteries; lithium-ion battery; cell sorting; multi-parameters sorting; principal component analysis; self-organizing maps clustering; battery charging; cycle-life; state-of-health (SOH); battery cycle-life extension; nonlinear battery model; state of charge estimation; lithium-ion battery; Lipschitz nonlinear system; Luenberger observer