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Batteries and Supercapacitors Aging

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ISBN: 9783039287147 / 9783039287154 Year: Pages: 214 DOI: 10.3390/books978-3-03928-715-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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Abstract

Electrochemical energy storage is a key element of systems in a wide range of sectors, such as electro-mobility, portable devices, and renewable energy. The energy storage systems (ESSs) considered here are batteries, supercapacitors, and hybrid components such as lithium-ion capacitors. The durability of ESSs determines the total cost of ownership, the global impacts (lifecycle) on a large portion of these applications and, thus, their viability. Understanding ESS aging is a key to optimizing their design and usability in terms of their intended applications. Knowledge of ESS aging is also essential to improve their dependability (reliability, availability, maintainability, and safety). This Special Issue includes 12 research papers and 1 review article focusing on battery, supercapacitor, and hybrid capacitor aging.

Keywords

battery --- operative dependability --- selection algorithm --- capacitance --- state-of-charge monitoring --- self-discharge --- supercapacitor --- aging --- lithium-ion capacitor --- aging model --- langmuir isotherm --- lifetime prediction --- aging mechanisms --- calendar aging --- floating aging --- autonomous devices --- lead-acid batteries --- Petri nets --- second life battery --- lithium-ion --- electrical characterization --- state-of-health (SOH) --- partial coulometric counter --- lithium-ion --- NMC --- aging --- ampere-hour throughput --- incremental capacity analysis --- accelerated ageing --- battery management system --- battery management system (BMS) --- calendar ageing --- cycling ageing --- electric vehicle --- embedded algorithm --- incremental capacity analysis --- incremental capacity analysis (ICA) --- lithium-ion battery --- lithium iron phosphate --- LFP --- LiFePO4 --- remaining capacity --- state of health (SoH) --- incremental capacity analysis --- lithium-ion --- electric vehicles --- driving cycles --- cell degradation --- lithium-ion --- batteries --- ageing --- post-mortem analysis --- lithium-ion battery --- lamination --- electrochemical impedance spectroscopy --- fast-charging capability --- lifetime --- abuse test --- lithium-ion capacitor --- safety --- temperature --- thermal runaway --- battery life testing --- capacitance --- state-of-charge determination --- state-of-health --- aging --- impedance spectroscopy --- pseudo-charge --- Li-Ion battery --- Ni-rich cathode --- degradation --- cathode-electrolyte interphase --- electro mobility --- n/a

Energy Storage and Management for Electric Vehicles

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ISBN: 9783039218622 9783039218639 Year: Pages: 238 DOI: 10.3390/books978-3-03921-863-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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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.

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 --- ?-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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MDPI - Multidisciplinary Digital Publishing Institute (2)


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2020 (2)