• English
    • français
  • Help
  •  | 
  • Contact
  •  | 
  • About
  •  | 
  • Login
  • HAL portal
  •  | 
  • Pages Pro
  • EN
  •  / 
  • FR
View Item 
  •   LillOA Home
  • Liste des unités
  • Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520
  • View Item
  •   LillOA Home
  • Liste des unités
  • Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Assignment Approach for Electric Vehicle ...
  • BibTeX
  • CSV
  • Excel
  • RIS

Document type :
Article dans une revue scientifique
DOI :
10.3390/wevj14020040
Title :
Assignment Approach for Electric Vehicle Charging Using Traffic Data Collected by SUMO
Author(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]
University Hassan II [Casablanca]
Hajjaji, Abdelowahed [Auteur]
Université Chouaib Doukkali [UCD]
Journal title :
World Electric Vehicle Journal
Pages :
40
Publisher :
MDPI
Publication date :
2023
English keyword(s) :
smart grids
green environment
electric vehicle
charging station
traffic conditions
SUMO
HAL domain(s) :
Informatique [cs]/Recherche opérationnelle [cs.RO]
Sciences de l'ingénieur [physics]/Autre
English abstract : [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 ...
Show more >
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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520
Source :
Harvested from HAL
Files
Thumbnail
  • document
  • Open access
  • Access the document
Thumbnail
  • Assignment%20Approach%20for%20Electric%20Vehicle%20Charging%20Using%20Traffic%20Data%20Collected%20by%20SUMO.pdf
  • Open access
  • Access the document
Thumbnail
  • pdf
  • Open access
  • Access the document
Université de Lille

Mentions légales
Université de Lille © 2017