Modelling electric vehicles use: a survey on the methods
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Published version
Author(s)
Daina, N
Sivakumar, A
Polak, JW
Type
Journal Article
Abstract
In the literature electric vehicle use is modelled using of a variety of approaches in power systems, energy and environmental analyses as well as in travel demand analysis. This paper provides a systematic review of these diverse approaches using a twofold classification of electric vehicle use representation, based on the time scale and on substantive differences in the modelling techniques. For time of day analysis of demand we identify activity-based modelling (ABM) as the most attractive because it provides a framework amenable for integrated cross-sector analyses, required for the emerging integration of the transport and electricity network. However, we find that the current examples of implementation of AMB simulation tools for EV-grid interaction analyses have substantial limitations. Amongst the most critical there is the lack of realism how charging behaviour is represented.
Date Issued
2017-02-01
Date Acceptance
2016-10-04
Citation
Renewable and Sustainable Energy Reviews, 2017, 68 (Part 1), pp.447-460
ISSN
1364-0321
Publisher
Elsevier
Start Page
447
End Page
460
Journal / Book Title
Renewable and Sustainable Energy Reviews
Volume
68
Issue
Part 1
Copyright Statement
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
EPSRC
Identifier
https://www.sciencedirect.com/science/article/pii/S1364032116306566
Grant Number
EP/L001039/1
EP/I038837/1
EP/I038837/1
Subjects
Science & Technology
Technology
Green & Sustainable Science & Technology
Energy & Fuels
Science & Technology - Other Topics
Electric vehicles use
Activity based models
Charging behaviour
PLUG-IN HYBRID
ENERGY-SOURCES
DEMAND MANAGEMENT
POWER-SYSTEMS
FUEL VEHICLES
CHOICE
IMPACTS
MARKET
PREFERENCES
TECHNOLOGY
Energy
09 Engineering
Publication Status
Published
Date Publish Online
2016-10-18