000			03394nam a2200121Ia 4500
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245		0	_aEnergy Storage Systems for Electric Vehicles
546			_aEnglish[eng]
650			_alithium-ion batteries||non-aqueous electrolyte||nitrile-based solvents||butyronitrile||SEI forming additives||fast charging||power batteries||improved second-order RC equivalent circuit||fuzzy unscented Kalman filtering algorithm||joint estimation||electric bus||battery||energy efficiency||environmental conditions||hybrid electric vehicles (HEVs)||battery life||multi-objective energy management||adaptive equivalent consumption minimization strategy (A-ECMS)||pontryagin’s minimum principle (PMP)||particle swarm optimization (PSO)||recurrent-neural-network (RNN)||fuel cell hybrid electric vehicle||least squares support vector machines (LSSVM)||driving conditions identification||power distribution||electric vehicle||lithium-ion battery||estimation||Kalman filter||state-of-charge||state-of-health||resistance||open-circuit voltage||battery capacity||battery modelling and simulation||battery testing cycler||battery thermal model||lithium-ion polymer battery||SLI battery||dual-motor energy recovery||regenerative braking system||CVT speed ratio control||motor minimum loss||energy consumption and efficiency characteristics||braking force distribution||oil–electric–hydraulic hybrid system||lowest instantaneous energy costs||energy management||global optimization||retired batteries||energy storage applications||layered bidirectional equalization||equalization algorithm||state of charge||available capacity||adaptive model-based algorithm||square root cubature Kalman filter||li-ion battery||performance degradation modelling||electrified propulsion||battery sizing||powertrain optimization||optimal energy management||heat and mass transfer||thermal analysis||Lithium-ion battery||micro-channel cooling plate||battery thermal management||MeshWorks||CFD||diffusion induced stress||hydrostatic stress influence on diffusion||electrode particle model||battery mechanical aging||coulomb counting||open circuit voltage||state of health||temperature||new energy vehicle||power battery||battery reusing||echelon utilization||battery recycling||electric vehicles||electro-hydraulic braking||braking intention||mode switching||torque coordinated control||Electric Truck Simulator||Electric Vehicle (EV)||Vehicle Routing Problem (VRP)||Traveling Salesman Problem (TSP)||least-energy routing algorithm||EV batteries||metric evaluation||AC–AC converters||battery chargers||power conversion harmonics||wireless power transmission||electrochemical–thermal model||artificial intelligence||artificial neural networks||hybrid vehicles||state-of-charge estimation (SOC)||linear quadratic estimator||lithium ion battery||iron phosphate||cell expansion||force||lithium-ion cobalt battery||state of energy||adaptive EKF SOC estimation||linear observer SOC estimation||MATLAB||Simscape||electric buses||thermal energy storage||latent heat storage||metallic phase change material||cabin heating||fuel cell||automated guided vehicle||hybrid energy storage system||model-based design||waveforms modeling||autoregressive models of nonstationary signals
700			_aSchaltz, Erik
856			_uhttps://mdpi.com/books/pdfview/book/2821
942			_cEB
999			_c33506 _d33506