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

Gabriele Corzato; Luca Secco; Alessio Vitella; Atulya Kumar Nagar; Emanuele Lindo Secco; Gabriele Corzato; Luca Secco; Alessio Vitella; Atulya Kumar Nagar; Emanuele Lindo Secco

doi:10.3934/ElectrEng.2018.2.37

AIMS Electronics and Electrical Engineering

2018, Volume 2, Issue 2: 37-47. doi: 10.3934/ElectrEng.2018.2.37

Previous Article Next Article

Research article Special Issues

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

1.
Department of Industrial Engineering, University of Padova, Via Venezia, 1, Padova, 35131, IT
2.
DriWe, Contrà progresso, 1/H, Schio (VI), 36015, IT
3.
Robotics Lab, Department of Mathematics & Computer Science, Liverpool Hope University, Hope Park, L169JD, Liverpool, UK

Received: 08 June 2018 Accepted: 06 August 2018 Published: 13 August 2018

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.
- electric vehicles,
- smart device,
- dynamic control,
- charging station
Citation: Gabriele Corzato, Luca Secco, Alessio Vitella, Atulya Kumar Nagar, Emanuele Lindo Secco. E-Mobility: dynamic mono-phase loads control during charging session of electric vehicles[J]. AIMS Electronics and Electrical Engineering, 2018, 2(2): 37-47. doi: 10.3934/ElectrEng.2018.2.37

Related Papers:

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.

References

[1]	Secco L, Alberti A, Secco EL (2017) MOB-Y: Smart Grid for sustainable MOBility with retrofit Electric Vehicles. The 3rd IEEE International Conference on Cybernetics (CYBCONF-2017).
[2]	Corzato G, Secco L, Rasheed A, et al. (2018) E-Mobility: smart grid and charging session of electric vehicles. 3rd EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications (SMARTGIFT 2018), Auckland, New Zeeland.
[3]	Irena.org., 2017. Available from:
[4]	http://www.irena.org/documentdownloads/publications/smart_grids.pdf.
[5]	4. Global EV outlook 2016, beyond one million electric cars, International Energy Agency. Available from:
[6]	https://www.iea.org/publications/freepublications/publication/Global_EV_Outlook_201pdf.
[7]	5. Abronzini U, et al. (2016) Optimal energy contrl for smart charging infrastructures with ESS and REG. 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), Toulouse, 1–6.
[8]	6. DriWe.eu, 201 Abailable from: http://www.driwe.eu.
[9]	7. Wellisch D, Lenz J, Faschingbauer A, et al. (2017) Vehicle-to-Grid AC Charging Station: An Approach for Smart Charging Development. The 20th World Congress of the International Federation of Automatic Control (IFAC).
[10]	8. Anya O, Tawfik H, Secco EL (2016) A Context-Aware Architecture for Personalized Elderly Care in Smart Environments. 1st EAI International Conference on Smart Grid Inspired Future Technologies.

Reader Comments

Your name:*

Email:*
© 2018 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)