Reprint
Intelligent Transportation Systems for Electric Vehicles
Edited by
September 2020
340 pages
- ISBN978-3-03943-048-2 (Hardback)
- ISBN978-3-03943-049-9 (PDF)
This is a Reprint of the Special Issue Intelligent Transportation Systems for Electric Vehicles that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
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.
Format
- Hardback
License and Copyright
© 2020 by the authors; CC BY-NC-ND license
Keywords
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; renewable energy sources; smart city; smart grid; electric vehicle; rapid charging; charging navigation; internet of things; electric charging behaviour; electric mobility; energy prices; EVs; travel simulator; electric vehicle; charging station; prediction; probability; mobile App; electric vehicle; 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; electric vehicle; operational design; battery charging rate; binary integer programming; silicon carbide; extreme fast charging; DC transformer; electric vehicle; electric vehicle; V2G; urban complex; peak shaving; smart grid; Hybrid Electric Vehicles (HEVs); energy management strategies (EMSs); driving cycle prediction; optimization