Intelligent Transportation Systems for Electric Vehicles

Intelligent Transportation Systems for Electric Vehicles

The Special Issue of Energies on the subject area of "Intelligent Transportation Systems (ITS) for Electric Vehicles (EV)", covers new work on EV and associated topics like charging process, smart grids, emerging ITS for EV and applications for electromoV market penetration with an increas...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Άλλοι συγγραφείς: Ferreira, Joao (Επιμελητής έκδοσης)
Μορφή: Κεφάλαιο βιβλίου
Έκδοση: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Θέματα:
History of engineering & technology
vehicle electrification
smart grids
renewable energy sources
energy storage systems
power quality
bidirectional
power electronics.
charging behaviors
distribution locational marginal pricing
distribution networks
electric mobility
electric vehicle
operation
reconfiguration
smart city
smart grid
rapid charging
charging navigation
internet of things
electric charging behaviour
energy prices
EVs
travel simulator
charging station
prediction
probability
mobile App
EV charging process
blockchain
IoT
mobile app
particle filter
histogram of gradient
sensor fusion
neural network
support vector machine
object recognition
electric bus
emissions
urban transportation
energy mix
automatic train operation
multi-objective optimization
shark smell optimization algorithm
composite angle cosine
dual-population evolution mechanism
hardware-in-the-loop simulation
daily activity chains
electric vehicles
optimization
charging stations
intelligent transportation systems
ITS
Dispatching Service
Dispersed Generation
Distribution Grid
Electrical Vehicle
Optimal Power Flow
Power Flow
Power System
Simulation Models
shared swap charging system
operational design
battery charging rate
binary integer programming
silicon carbide
extreme fast charging
DC transformer
V2G
urban complex
peak shaving
Hybrid Electric Vehicles (HEVs)
energy management strategies (EMSs)
driving cycle prediction
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