
handle: 20.500.12010/15343
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.
Identification, thermal behaviour, principal component analysis, Energy storage system, battery cycle-life extension, energy storage system, Almacenamiento de batería residencial, hybrid vehicle, parameter identification, optimal control, lithium titanate oxide batteries, improved artificial bee colony, genetic algorithm, thermal modelling, battery energy storage system, cell sorting, Simscape, hybrid power system, Matlab, regenerative energy, supercapacitors, dynamic flow rate optimization, Li-Sulfur batteries, Dynamic flow rate optimization, linear programming, energy storage ageing and degradation, residential battery storage, self-discharge, operating expenses, Vehículos eléctricos, cycle-life, TA1-2040, ECE15, parameter estimation, dynamic programming approach, Dynamic programming approach, nonlinear battery model, adaptive forgetting factor, Algoritmo genético, batteries, second-life energy storage applications, ?-constraint method, self-organizing maps clustering, rule-based optimal strategy, lithium-ion battery, supercapacitor models, zinc–nickel single-flow battery, timetable optimization, fuel cell, life cycle assessment, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology, battery charging, T1-995, state-of-health (SOH), state of charge estimation, Luenberger observer, multi-parameters sorting, Equivalent circuit model, vehicle-to-building, recursive least square, Simulink, electric vehicle, Modelo de circuito equivalente, Lipschitz nonlinear system, General and civil engineering, Charging scheme, equivalent circuit model, efficiency, HPPC, charging scheme, lithium ion battery, battery degradation
Identification, thermal behaviour, principal component analysis, Energy storage system, battery cycle-life extension, energy storage system, Almacenamiento de batería residencial, hybrid vehicle, parameter identification, optimal control, lithium titanate oxide batteries, improved artificial bee colony, genetic algorithm, thermal modelling, battery energy storage system, cell sorting, Simscape, hybrid power system, Matlab, regenerative energy, supercapacitors, dynamic flow rate optimization, Li-Sulfur batteries, Dynamic flow rate optimization, linear programming, energy storage ageing and degradation, residential battery storage, self-discharge, operating expenses, Vehículos eléctricos, cycle-life, TA1-2040, ECE15, parameter estimation, dynamic programming approach, Dynamic programming approach, nonlinear battery model, adaptive forgetting factor, Algoritmo genético, batteries, second-life energy storage applications, ?-constraint method, self-organizing maps clustering, rule-based optimal strategy, lithium-ion battery, supercapacitor models, zinc–nickel single-flow battery, timetable optimization, fuel cell, life cycle assessment, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology, battery charging, T1-995, state-of-health (SOH), state of charge estimation, Luenberger observer, multi-parameters sorting, Equivalent circuit model, vehicle-to-building, recursive least square, Simulink, electric vehicle, Modelo de circuito equivalente, Lipschitz nonlinear system, General and civil engineering, Charging scheme, equivalent circuit model, efficiency, HPPC, charging scheme, lithium ion battery, battery degradation
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