Battery Management System for Future Electric Vehicles |
Autore | Söffker Dirk |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (154 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
state of charge (SOC)
joint estimation lithium-ion battery variational Bayesian approximation dual extended Kalman filter (DEKF) measurement statistic uncertainty electric vehicles renewable energy sources microgrid economic dispatching capacity allocation cooperative optimization SOC second-order RC model model parameter optimization AUKF small-signal modeling battery energy storage system battery management system control stability dynamic response wireless power state-of-charge electric vehicle LiFePO4 batteries state of charge (SoC) Butler-Volmer equation Arrhenius Peukert coulomb efficiency back propagation neural network (BPNN) torque and battery distribution particle swarm optimization air-cooled BTMS compact lithium ion battery module ANN battery electric vehicles battery management hybrid energy storage |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557625603321 |
Söffker Dirk | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Energy Storage Systems for Electric Vehicles |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (550 p.) |
Disciplina | 621.3124240284 |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
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 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557375603321 |
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|