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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.
n/a --- abuse test --- thermal runaway --- lifetime --- Li-Ion battery --- lithium-ion capacitor --- langmuir isotherm --- battery management system (BMS) --- cycling ageing --- degradation --- remaining capacity --- selection algorithm --- electric vehicle --- safety --- LFP --- state-of-charge determination --- cathode-electrolyte interphase --- state-of-health (SOH) --- incremental capacity analysis (ICA) --- lamination --- capacitance --- lead-acid batteries --- self-discharge --- fast-charging capability --- second life battery --- ampere-hour throughput --- incremental capacity analysis --- state of health (SoH) --- impedance spectroscopy --- partial coulometric counter --- Ni-rich cathode --- calendar ageing --- driving cycles --- pseudo-charge --- state-of-health --- accelerated ageing --- lithium iron phosphate --- calendar aging --- electrochemical impedance spectroscopy --- electric vehicles --- lifetime prediction --- Petri nets --- battery --- electro mobility --- floating aging --- aging mechanisms --- LiFePO4 --- autonomous devices --- temperature --- electrical characterization --- cell degradation --- lithium-ion battery --- ageing --- battery management system --- NMC --- batteries --- lithium-ion --- state-of-charge monitoring --- operative dependability --- aging model --- battery life testing --- aging --- embedded algorithm --- post-mortem analysis --- supercapacitor
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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.
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
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This book discuss the recent developments in energy harvesting and energy storage systems. Sustainable development systems are based on three pillars: economic development, environmental stewardship, and social equity. One of the guiding principles for finding the balance between these pillars is to limit the use of non-renewable energy sources.
Research & information: general --- Physics --- photovoltaic --- parameter extraction --- single-diode model --- double-diode model --- swarm intelligence --- TSA --- wind energy --- renewable resources --- Black–Scholes model --- AC-DC converter --- shunt regulator --- full bridge rectifier --- electrostatic vibration energy harvesting --- fully integrated --- IoT --- charge pump --- energy harvesting --- thermoelectric --- energy storage system (ESS) --- battery management system (BMS) --- battery efficiency --- state of charge (SoC) --- state of health (SoH) --- on-chip integration --- power management --- supercapacitor --- storage unit --- unbalanced distribution networks --- linear loads --- non-linear loads --- total harmonic distortion --- harmonic power flow --- proton exchange membrane fuel cell --- parameter identification --- optimization --- energy storage --- arithmetic optimization --- microgrid --- PLL --- RTDS --- direct power control --- fuzzy logic --- voltage source inverter --- IoMT devices --- energy autonomous --- wearables --- energy-storage --- energy management --- fog edge computing --- task offloading --- deep learning --- reinforced learning --- IoMT --- sooty tern optimization --- distributed generation --- equilibrium optimization technique --- wind turbines --- photovoltaics --- biomass generators --- n/a --- Black-Scholes model
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This book discuss the recent developments in energy harvesting and energy storage systems. Sustainable development systems are based on three pillars: economic development, environmental stewardship, and social equity. One of the guiding principles for finding the balance between these pillars is to limit the use of non-renewable energy sources.
photovoltaic --- parameter extraction --- single-diode model --- double-diode model --- swarm intelligence --- TSA --- wind energy --- renewable resources --- Black–Scholes model --- AC-DC converter --- shunt regulator --- full bridge rectifier --- electrostatic vibration energy harvesting --- fully integrated --- IoT --- charge pump --- energy harvesting --- thermoelectric --- energy storage system (ESS) --- battery management system (BMS) --- battery efficiency --- state of charge (SoC) --- state of health (SoH) --- on-chip integration --- power management --- supercapacitor --- storage unit --- unbalanced distribution networks --- linear loads --- non-linear loads --- total harmonic distortion --- harmonic power flow --- proton exchange membrane fuel cell --- parameter identification --- optimization --- energy storage --- arithmetic optimization --- microgrid --- PLL --- RTDS --- direct power control --- fuzzy logic --- voltage source inverter --- IoMT devices --- energy autonomous --- wearables --- energy-storage --- energy management --- fog edge computing --- task offloading --- deep learning --- reinforced learning --- IoMT --- sooty tern optimization --- distributed generation --- equilibrium optimization technique --- wind turbines --- photovoltaics --- biomass generators --- n/a --- Black-Scholes model
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This book discuss the recent developments in energy harvesting and energy storage systems. Sustainable development systems are based on three pillars: economic development, environmental stewardship, and social equity. One of the guiding principles for finding the balance between these pillars is to limit the use of non-renewable energy sources.
Research & information: general --- Physics --- photovoltaic --- parameter extraction --- single-diode model --- double-diode model --- swarm intelligence --- TSA --- wind energy --- renewable resources --- Black-Scholes model --- AC-DC converter --- shunt regulator --- full bridge rectifier --- electrostatic vibration energy harvesting --- fully integrated --- IoT --- charge pump --- energy harvesting --- thermoelectric --- energy storage system (ESS) --- battery management system (BMS) --- battery efficiency --- state of charge (SoC) --- state of health (SoH) --- on-chip integration --- power management --- supercapacitor --- storage unit --- unbalanced distribution networks --- linear loads --- non-linear loads --- total harmonic distortion --- harmonic power flow --- proton exchange membrane fuel cell --- parameter identification --- optimization --- energy storage --- arithmetic optimization --- microgrid --- PLL --- RTDS --- direct power control --- fuzzy logic --- voltage source inverter --- IoMT devices --- energy autonomous --- wearables --- energy-storage --- energy management --- fog edge computing --- task offloading --- deep learning --- reinforced learning --- IoMT --- sooty tern optimization --- distributed generation --- equilibrium optimization technique --- wind turbines --- photovoltaics --- biomass generators --- photovoltaic --- parameter extraction --- single-diode model --- double-diode model --- swarm intelligence --- TSA --- wind energy --- renewable resources --- Black-Scholes model --- AC-DC converter --- shunt regulator --- full bridge rectifier --- electrostatic vibration energy harvesting --- fully integrated --- IoT --- charge pump --- energy harvesting --- thermoelectric --- energy storage system (ESS) --- battery management system (BMS) --- battery efficiency --- state of charge (SoC) --- state of health (SoH) --- on-chip integration --- power management --- supercapacitor --- storage unit --- unbalanced distribution networks --- linear loads --- non-linear loads --- total harmonic distortion --- harmonic power flow --- proton exchange membrane fuel cell --- parameter identification --- optimization --- energy storage --- arithmetic optimization --- microgrid --- PLL --- RTDS --- direct power control --- fuzzy logic --- voltage source inverter --- IoMT devices --- energy autonomous --- wearables --- energy-storage --- energy management --- fog edge computing --- task offloading --- deep learning --- reinforced learning --- IoMT --- sooty tern optimization --- distributed generation --- equilibrium optimization technique --- wind turbines --- photovoltaics --- biomass generators
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