Issue |
E3S Web of Conf.
Volume 469, 2023
The International Conference on Energy and Green Computing (ICEGC’2023)
|
|
---|---|---|
Article Number | 00053 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/e3sconf/202346900053 | |
Published online | 20 December 2023 |
Bi-directional Battery Charging/Discharging Converter for Grid Integration: A Step Towards Power Quality and Efficient Energy Management in Electric Vehicles
Laboratory of Energy & Electrical Systems (LESE), Superior National School of Electricity and Mechanical (ENSEM), Hassan II University of Casablanca, 20470 Casablanca, Morocco
* Corresponding author: anas.diouri-etu@etu.univh2c.ma
This paper presents the design and simulation of a bi-directional battery charging and discharging converter capable of interacting with the grid. The proposed converter enables Electric Vehicles (EVs) not only to charge their batteries from the grid but also to discharge excess energy back into the grid through the Vehicle-to-Grid (V2G) operating mode. The work discusses charger design considerations, including control strategies, and examines its potential contribution to efficient energy management and grid stability. Furthermore, a simulation study using MATLAB/Simulink validates the performance, efficiency, and dynamic response of the bi-directional converter, demonstrating its viability for real-world grid integration. The simulation shows better performance in various performance aspects, including high-power factor correction (PFC), minimized steady-state oscillations, reduced DC link voltage overshoot, increased overall efficiency, and both voltage and current Total Harmonic Distortions (THD maintained below 5%).
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.