Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19698

Title: A framework for electric vehicle charging strategy optimization tested for travel demand generated by an activity-based model
Authors: Usman, Muhammad
Knapen, Luk
Kochan, Bruno
Yasar, Ansar
Bellemans, Tom
Janssens, Davy
Wets, Geert
Issue Date: 2015
Citation: 2014 International Conference on Connected Vehicles and Expo (ICCVE), p. 306-311
Abstract: This paper presents the cost optimization model which plans a charging strategy for an electric vehicle. In case of time dependent electric prices an intelligent planner is required which plans the charging strategy only at cheaper moments and places to keep the vehicle charged enough to complete its scheduled travels. This model estimates the required charging energy to travel by the electric vehicle. Then using the time dependent electric prices and available power at each period of the time suggests a charging pattern for the electric vehicle which ensures the cheapest charging cost and fulfills the constraints of battery state of the charge. According to the current market share of electric vehicles, a fraction of daily agendas created by the large scale activity-based model are used to test the proposed framework. A central power tracker is introduced which keeps track of available and required power at each period of the day. It also manages the charging requests from electric vehicles. Moreover, an experiment has been set up, it makes use of wind and solar energy production data. Price signal is derived from available power as an indicator of relative cost.
URI: http://hdl.handle.net/1942/19698
DOI: 10.1109/ICCVE.2014.7297562
ISI #: 000378931500053
ISBN: 9781479967292
ISSN: 2378-1289
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2017
vabb, 2017
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
N/A833.97 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.