Electrical Power and Energy Systems for Transportation Applications

© 2017 MDPI; under CC BY-NC-ND license

three-phase inverter; three-limb transformer; three-limb inductor; magnetic coupling; PID control; instantaneous symmetrical components; energy recovery; battery testing system; micro-grid; energy management; electric taxis; temporal scale; spatial scale; particle swarm optimization; electric vehicles; controlled charging; distribution grids; impact assessment; wind power; interconnected power system; catastrophe theory; small signal stability region boundary; power router; matrix converter; smart-grid; three-phase switching; power electronics; state of charge; lithium-ion battery; electric vehicles; nonlinear predictive filter; wound-field doubly salient machine; electrical actuation; fault-tolerant; multiphase; electric vehicles charging; agent-based modelling and simulation; distribution network; coordinated charging; load flow analysis; stochastic modelling; DC microgrid; plug-in electric vehicle; self-consumption; modeling; simulation; Energetic Macroscopic Representation; Maximum Control Structure; electric buses; fast charging; vehicle simulation; batteries; electrical grid; DC distribution system; relay protection; resistive superconductive fault current limiter; transient current; lithium-ion battery; capacity fade; electrochemical model; battery management system; electric vehicles; uncertainty estimation; Markov Chain Monte Carlo; metamodel; clutch unit; dynamics analysis; electromagnetic design; finite element method (FEM); permanent magnet; bi-stable operation; in-cylinder air motion; tumble; piston configuration; scavenging system; CFD; available transfer capability; credibility theory; random fuzzy simulation; bootstrap method; batteries; electric vehicles; public transport; layout process; multi-terminal DC (MTDC); improved droop control; power sharing; offshore wind farm; voltage source converter (VSC); eddy current brake; hybrid excitation; finite element method; three-level pulse-width modulation (PWM) scheme; battery grouping; fractional joint Kalman filter; equal-number; modified K-means clustering; model stability analysis; parametric sensitivity analysis; measurement uncertainty; parameters variation; influencing factors weight; leaf spring rotary engine; combustion characteristics; numerical model; corrosive sulfur; pulse electroacoustic (PEA); stimulated current (TSC); scanning electron microscopy (SEM); copper sulfide; thermal aging; oil-paper; high-voltage direct (HVDC) transformer; surface temperature; spatial distribution; infrared thermography; NMC; LFP; LTO; thermal management; electric vehicle; energy consumption; real-world data; prediction; n/a