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 increase of 60% p...
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Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 electronic resource (340 p.) |
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Ferreira, Joao edt Intelligent Transportation Systems for Electric Vehicles Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 1 electronic resource (340 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. English History of engineering & technology bicssc 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 3-03943-048-3 3-03943-049-1 Ferreira, Joao oth |
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English |
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eBook |
author2 |
Ferreira, Joao |
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Ferreira, Joao |
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title |
Intelligent Transportation Systems for Electric Vehicles |
spellingShingle |
Intelligent Transportation Systems for Electric Vehicles |
title_full |
Intelligent Transportation Systems for Electric Vehicles |
title_fullStr |
Intelligent Transportation Systems for Electric Vehicles |
title_full_unstemmed |
Intelligent Transportation Systems for Electric Vehicles |
title_auth |
Intelligent Transportation Systems for Electric Vehicles |
title_new |
Intelligent Transportation Systems for Electric Vehicles |
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intelligent transportation systems for electric vehicles |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
physical |
1 electronic resource (340 p.) |
isbn |
3-03943-048-3 3-03943-049-1 |
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Not Illustrated |
work_keys_str_mv |
AT ferreirajoao intelligenttransportationsystemsforelectricvehicles |
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n |
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(CKB)5400000000043155 (oapen)https://directory.doabooks.org/handle/20.500.12854/69106 (EXLCZ)995400000000043155 |
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Intelligent Transportation Systems for Electric Vehicles |
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