Name
Abstract | ||
|---|---|---|
This research stresses upon the importance of electric mobility in modern age as sales of Electric Vehicles (EV) have crossed one million cars and current number of charging stations are rapidly growing. In this context, we propose a novel smart connection called DriWe between the EV, the charging point and the environment to improve and consolidate the development of smart grids vs the charging enhancement. In DriWe, performance of the monophasic environment is optimized, providing support to the owner of the EV in order to (i) always achieve maximum power, (ii) easily reach the charging facilities through a special application that can be installed in tablet, smartphone or pc, and identify the various charge points (iii) guarantee the absence of electric blackout, thanks to a combination and an interaction of three elements: smart device, an intelligent framework, namely a DriWe cloud server and charge point. A dynamic load control method based on an Application Programming Interface (API) with a 10 s frame rate update, is applied. The program runs within the end-user smart phone, acquires data from DriWe cloud server, and allows to coordinate the recharge column by allowing the Electric Vehicle (EV) supply equipment's control and variation. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-94965-9_11 | Lecture Notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering |
Keywords | DocType | Volume |
Electric Vehicles,Smart charging,Dynamic control,Charging station | Conference | 245 |
ISSN | Citations | PageRank |
1867-8211 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriele Corzato | 1 | 0 | 0.34 |
| Luca Secco | 2 | 0 | 0.34 |
| Arslan Rasheed | 3 | 0 | 0.34 |
| Atulya K. Nagar | 4 | 689 | 104.26 |
| E L Secco | 5 | 0 | 2.03 |