E-Mobility: dynamic mono-phase loads control during charging session of electric vehicles

Corzato, Gabriele and Secco, Luca and Vitella, A and Nagar, Atulya K. and Secco, Emanuele Lindo (2018) E-Mobility: dynamic mono-phase loads control during charging session of electric vehicles. AIMS Electronic and Electrical Engineering. ISSN 2578-1588 (Accepted for Publication)

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Abstract

This paper presents the primary objective of a research project which aims at enhancing the world of e-mobility by highlighting the continuous evolution and demand of the Electric Vehicle (EV) in modern cities and the consequent need for more and more innovative charging systems. Here we focused on a current and incoming EV drawback, namely the variety of EV charging methods which are currently available in the market. An adaptive solution, which is suitable for both domestic and working environments, is presented, where single-phase recharging points are applied with non-high power. The task is to provide a user-friendly support for any end-user who wants to acquaintance with the EV world. Three stages are characterizing this approach: (1) the search for new solutions for the charging of electric vehicles, (2) the finalization and achievement of the proof of concept and product, (3) a set of functional tests (i.e. the validation). The proposed product is preserved from electric blackout during the EV recharging phase within a typical daily life domestic activity: this result is achieved through a combination of smart devices, an intelligent framework and the charging point. An optimized calculation program supervises this architecture and it allows the real-time interaction and communication between all the components by carrying out a dynamic control of the loads.

Item Type: Article
Additional Information and Comments: Published by AIMS Press. Open Access under a Creative Commons Attribution License. Published version available online at http://www.aimspress.com/journal/ElectrEng
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Emanuele Secco
Date Deposited: 10 Aug 2018 08:55
Last Modified: 10 Aug 2018 08:55
URI: http://hira.hope.ac.uk/id/eprint/2588

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