Memorias de investigación
Artículos en revistas:
Determining electric vehicle charging point locations considering drivers? daily activities
Año:2014
Áreas de investigación
  • Ingeniería eléctrica
Datos
Descripción
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.
Internacional
Si
JCR del ISI
No
Título de la revista
Procedia Computer Science
ISSN
1877-0509
Factor de impacto JCR
Información de impacto
Volumen
DOI
Determining electric vehicle charging point locati
Número de revista
32
Desde la página
647
Hasta la página
654
Mes
SIN MES
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Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Dinámicos, Aprendizaje y Control (SISDAC)
  • Departamento: Electrónica Física