TY - JOUR
T1 - Modelling electric vehicles use
T2 - a survey on the methods
AU - Daina, Nicolò
AU - Sivakumar, Aruna
AU - Polak, John W.
N1 - Funding Information:
This work was partially supported by the Grantham institute for Climate Change at Imperial College , the UK Engineering and Physical Sciences Research Council under awards EP/L001039/1 and EP/I038837/1 . The authors would like to thank Dr. Dimitrios Papadaskalopoulos for its insightful comments on the manuscript.
Publisher Copyright: © 2016 The Authors
PY - 2017/2/1
Y1 - 2017/2/1
N2 - 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.
AB - 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.
KW - activity based models
KW - charging behaviour
KW - electric vehicles use
KW - alternative fuel vehicles
KW - electric car
KW - modelling techniques
UR - http://www.scopus.com/inward/record.url?scp=84992699360&partnerID=8YFLogxK
U2 - 10.1016/j.rser.2016.10.005
DO - 10.1016/j.rser.2016.10.005
M3 - Review article
AN - SCOPUS:84992699360
SN - 1364-0321
VL - 68
SP - 447
EP - 460
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
IS - Part 1
ER -
