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Communication Dans Un Congrès Année : 2018

A Prediction Model of Electric Vehicle Charging Requests

A. Ruzmetov
  • Fonction : Auteur
Y. Naitmalek
  • Fonction : Auteur
J. Gaber
  • Fonction : Auteur


In the last decade, many research works have been conducted to further promote the use of electric vehicles by developing new technologies and services. However, the management of their charging planning and scheduling is still a challenging task that needs to be addressed. The main issue is to reroute vehicles to the suitable charging stations with less waiting time, fast charging process, while ensuring interesting points for their users. In this paper, a prediction model is introduced for managing and handling charging needs of electric vehicles. The aim is to predict the average charging rate and charging time of multiple requests by taking into account the inter-arrival of charging requests and the charging state of each electric vehicle. Simulations have been conducted with high number of charging requests and obtained results show the efficiency of the proposed approach by studying its impact on waiting times and the occupation of charging stations. (C) 2018 The Authors. Published by Elsevier Ltd.

Dates et versions

hal-03632407 , version 1 (06-04-2022)



Ahmed Nait-Sidi-Moh, A. Ruzmetov, M. Bakhouya, Y. Naitmalek, J. Gaber. A Prediction Model of Electric Vehicle Charging Requests. 9TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN-2018) / 8TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2018), Nov 2018, Leuven, Belgium. pp.127-134, ⟨10.1016/j.procs.2018.10.158⟩. ⟨hal-03632407⟩


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