Assignment Approach for Electric Vehicle Charging Using Traffic Data Collected by SUMO

Farhani, Riham; El Hillali, Yassin; Rivenq, Atika; Boughaleb, Yahia; Hajjaji, Abdelowahed

Type de document :

Article dans une revue scientifique: Article original

DOI :

10.3390/wevj14020040

Titre :

Assignment Approach for Electric Vehicle Charging Using Traffic Data Collected by SUMO

Auteur(s) :

Farhani, Riham [Auteur correspondant]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
El Hillali, Yassin [Auteur]

Université Polytechnique Hauts-de-France [UPHF]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Rivenq, Atika [Auteur]

Université Polytechnique Hauts-de-France [UPHF]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Boughaleb, Yahia [Auteur]
Ecole Nationale des Sciences Appliquées d'El Jadida [ENSAJ]
Université Hassan II de Casablanca = University of Hassan II Casablanca = جامعة الحسن الثاني (ar) [UH2MC]
Hajjaji, Abdelowahed [Auteur]
Ecole Nationale des Sciences Appliquées d'El Jadida [ENSAJ]
Université Chouaib Doukkali [UCD]

Titre de la revue :

World Electric Vehicle Journal

Pagination :

Éditeur :

MDPI

Date de publication :

2023

Mot(s)-clé(s) en anglais :

smart grids
green environment
electric vehicle
charging station
trafﬁc conditions
SUMO

Discipline(s) HAL :

Computer Science [cs]/Operations Research [math.OC]
Sciences de l'ingénieur [physics]/Autre

Résumé en anglais : [en]

Consumption habits are changing due to the development of new technologies around renewable energy, environmental awareness, and new incentive policies. Smart grids are seen as an effective way to accommodate more renewable ...
Lire la suite >Consumption habits are changing due to the development of new technologies around renewable energy, environmental awareness, and new incentive policies. Smart grids are seen as an effective way to accommodate more renewable energy, achieve better control of demand, and improve the operating conditions of the electrical system. However, electric vehicles, which are an environmentally friendly alternative, have very high market penetration and require efficient electrical management at charging stations. Among the factors that have a significant impact on electrical energy consumption are traffic conditions, which can seriously impact the efficiency of electric vehicles. Therefore, the focus is on developing charging infrastructure and reducing vehicle waiting time by optimally allocating electric vehicles to charging stations. To this end, an optimization approach is presented, based on the traffic conditions collected by the SUMO simulator. This approach enables each vehicle to be assigned to the appropriate station while maintaining its battery state of charge at a higher level.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL

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