Energy Storage and Management for Electric Vehicles

Energy Storage and Management for Electric Vehicles

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 add...

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Marco, James
Truong, Dinh Quang
Longo, Stefano
Year of Publication:2020
Language:English
Physical Description:1 electronic resource (238 p.)
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ctrlnum (CKB)4100000010163778
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collection bib_alma
record_format marc
spelling Marco, James auth
Energy Storage and Management for Electric Vehicles
MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (238 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
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
3-03921-862-X
Truong, Dinh Quang auth
Longo, Stefano auth
language English
format eBook
author Marco, James
spellingShingle Marco, James
Energy Storage and Management for Electric Vehicles
author_facet Marco, James
Truong, Dinh Quang
Longo, Stefano
author_variant j m jm
author2 Truong, Dinh Quang
Longo, Stefano
author2_variant d q t dq dqt
s l sl
author_sort Marco, James
title Energy Storage and Management for Electric Vehicles
title_full Energy Storage and Management for Electric Vehicles
title_fullStr Energy Storage and Management for Electric Vehicles
title_full_unstemmed Energy Storage and Management for Electric Vehicles
title_auth Energy Storage and Management for Electric Vehicles
title_new Energy Storage and Management for Electric Vehicles
title_sort energy storage and management for electric vehicles
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (238 p.)
isbn 3-03921-863-8
3-03921-862-X
illustrated Not Illustrated
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status_str n
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is_hierarchy_title Energy Storage and Management for Electric Vehicles
author2_original_writing_str_mv noLinkedField
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