Determining electric vehicle charging point locations considering drivers' daily activities

González, Jairo and Álvaro, Roberto and Gamallo, Carlos and Fuentes Gomariz, Manuel and Fraile Ardanuy, José Jesús and Knapen, Luk and Janssens, Davy (2014). Determining electric vehicle charging point locations considering drivers' daily activities. "Procedia Computer Science" (n. 32); pp. 647-654. ISSN 1877-0509. https://doi.org/10.1016/j.procs.2014.05.472.

Description

Title: Determining electric vehicle charging point locations considering drivers' daily activities
Author/s:
  • González, Jairo
  • Álvaro, Roberto
  • Gamallo, Carlos
  • Fuentes Gomariz, Manuel
  • Fraile Ardanuy, José Jesús
  • Knapen, Luk
  • Janssens, Davy
Item Type: Article
Título de Revista/Publicación: Procedia Computer Science
Date: 2014
ISSN: 1877-0509
Subjects:
Freetext Keywords: Electric vehicle; charging infrastructure; optimization; activity-based mobility model
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Electrónica Física
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper the daily temporal and spatial behavior of electric vehicles (EVs) is modelled using an activity-based (ActBM) microsimulation model for Flanders region (Belgium). Assuming that all EVs are completely charged at the beginning of the day, this mobility model is used to determine the percentage of Flemish vehicles that cannot cover their programmed daily trips and need to be recharged during the day. Assuming a variable electricity price, an optimization algorithm determines when and where EVs can be recharged at minimum cost for their owners. This optimization takes into account the individual mobility constraint for each vehicle, as they can only be charged when the car is stopped and the owner is performing an activity. From this information, the aggregated electric demand for Flanders is obtained, identifying the most overloaded areas at the critical hours. Finally it is also analyzed what activities EV owners are underway during their recharging period. From this analysis, different actions for public charging point deployment in different areas and for different activities are proposed.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7270833DATA SIMUNIVERSITEIT HASSELTData Science for Simulating the Era of Electric Vehicles

More information

Item ID: 37411
DC Identifier: http://oa.upm.es/37411/
OAI Identifier: oai:oa.upm.es:37411
DOI: 10.1016/j.procs.2014.05.472
Official URL: http://www.sciencedirect.com/science/article/pii/S1877050914006723
Deposited by: Memoria Investigacion
Deposited on: 09 Sep 2015 16:12
Last Modified: 09 Sep 2015 16:12
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