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Energy Storage Systems for Electric Vehicles

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lithium-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

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03936-963-8

País de edición

Suiza