Imperial College London

Dr Nicolò Daina

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Research Fellow



+44 (0)20 7594 6086n.daina




602Skempton BuildingSouth Kensington Campus






BibTex format

author = {Daina, N and Sivakumar, A and Polak, JW},
doi = {10.1016/j.rser.2016.10.005},
journal = {Renewable and Sustainable Energy Reviews},
pages = {447--460},
title = {Modelling electric vehicles use: a survey on the methods},
url = {},
volume = {68},
year = {2016}

RIS format (EndNote, RefMan)

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.
AU - Daina,N
AU - Sivakumar,A
AU - Polak,JW
DO - 10.1016/j.rser.2016.10.005
EP - 460
PY - 2016///
SN - 1879-0690
SP - 447
TI - Modelling electric vehicles use: a survey on the methods
T2 - Renewable and Sustainable Energy Reviews
UR -
UR -
VL - 68
ER -