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Intelligent Transportation Systems for Electric Vehicles



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Autore: Ferreira Joao Visualizza persona
Titolo: Intelligent Transportation Systems for Electric Vehicles Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica: 1 online resource (340 p.)
Soggetto topico: History of engineering and technology
Soggetto non controllato: automatic train operation
battery charging rate
bidirectional
binary integer programming
blockchain
charging behaviors
charging navigation
charging station
charging stations
composite angle cosine
daily activity chains
DC transformer
Dispatching Service
Dispersed Generation
Distribution Grid
distribution locational marginal pricing
distribution networks
driving cycle prediction
dual-population evolution mechanism
electric bus
electric charging behaviour
electric mobility
electric vehicle
electric vehicles
Electrical Vehicle
emissions
energy management strategies (EMSs)
energy mix
energy prices
energy storage systems
EV charging process
EVs
extreme fast charging
hardware-in-the-loop simulation
histogram of gradient
Hybrid Electric Vehicles (HEVs)
intelligent transportation systems
internet of things
IoT
ITS
mobile app
mobile App
multi-objective optimization
neural network
object recognition
operation
operational design
Optimal Power Flow
optimization
particle filter
peak shaving
power electronics
Power Flow
power quality
Power System
prediction
probability
rapid charging
reconfiguration
renewable energy sources
sensor fusion
shared swap charging system
shark smell optimization algorithm
silicon carbide
Simulation Models
smart city
smart grid
smart grids
support vector machine
travel simulator
urban complex
urban transportation
V2G
vehicle electrification
Persona (resp. second.): FerreiraJoao
Sommario/riassunto: 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 increase of 60% per year, associated challenges of the charging process and system and changes in the energy market and grid. EV is associated with sustainability and the EU has committed to reducing CO2 emissions by 37.5 percent by 2030. The charging process and open energy market with renewable energy create interesting research problems where IoT and intelligent systems play an essential role in the flexibility of the EV charging process and the EV operation.bility. Considering EV market penetration with an increase of 60% per year, associated challenges of charging process and system and the change on the Energy market and Grid. EV is associated with sustainability with the commit of EU in, aiming to reduce CO2 emissions by 37.5 percent from 2021 to 2030. Charging process and open energy market with renewable energy creates interesting research problems where IoT and Intelligent System plays an essential role in the flexibility of the EV charging process and the EV operation.
Titolo autorizzato: Intelligent Transportation Systems for Electric Vehicles  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557464403321
Lo trovi qui: Univ. Federico II
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