Energy Storage and Management for Electric Vehicles

doi:10.3390/books978-3-03921-863-9

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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

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Energy Storage and Management for Electric Vehicles

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January 2020

238 pages

ISBN 978-3-03921-862-2 (Paperback)
ISBN 978-3-03921-863-9 (PDF)

https://doi.org/10.3390/books978-3-03921-863-9

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This is a Reprint of the Special Issue Energy Storage and Management for Electric Vehicles that was published in

Engineering

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.