Vai al contenuto principale della pagina
| Autore: |
Ferreira Joao
|
| Titolo: |
Intelligent Transportation Systems for Electric Vehicles
|
| 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 ![]() |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910557464403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |