Numéro |
Sci. Tech. Energ. Transition
Volume 79, 2024
Power Components For Electric Vehicles
|
|
---|---|---|
Numéro d'article | 35 | |
Nombre de pages | 11 | |
DOI | https://doi.org/10.2516/stet/2024029 | |
Publié en ligne | 11 juin 2024 |
Regular Article
Real-time simulation of a new design of a smart and fast electric vehicle charger
1
Université Tunis El Manar, Ecole Nationale d’Ingénieurs de Tunis, LR11ES15, Laboratoire des Systèmes Electriques, 1002 Tunis, Tunisia
2
Institut Supérieur des Technologies de l’Information et de la Communication, Université de Carthage, Tunis, Tunisia
3
Institut National des Sciences Appliquées et Technologie, INSAT, Université de Carthage, 1080 Tunis, Tunisia
* Corresponding author: hanen.messaoudi@enit.utm.tn
Received:
22
September
2023
Accepted:
19
April
2024
Due to the growing global adoption of electric vehicles (EVs), there is a pressing demand for the development of charging infrastructure that offers enhanced performance while reducing the charging time of EVs. Combining innovative fast and smart charging technologies can result in cost-efficient charging solutions, optimized energy exploitation, and reduced charging time for EVs. This paper proposes a new design of a smart and fast charger for EV batteries. The charger is made of a PFC-based Vienna Rectifier (VR) and an isolated Dual Active Bridge (DAB) converter. The proposed charger enables intelligent data flow between the battery and the charger thanks to the Controller Area Network (CAN) communication employed by the CHAdeMO charging protocol. To validate the effectiveness and feasibility of the proposed charger, the results of real-time simulations performed on RT-LAB platform, from OPAL-RT are presented and discussed.
Key words: Electric Vehicles / Fast battery charging / Smart CAN communication / PFC-based Vienna rectifier / Real-time simulation / RT-LAB platform
© The Author(s), published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.
Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.
Le chargement des statistiques peut être long.