RT Journal Article
A1 Kaveh Sarrafan
AD Department of Electrical, Computer and Telecommunications Engineering, University of Wollongong (UoW), Wollongong, NSW 2522, Australia
A1 Danny Sutanto
AD Department of Electrical, Computer and Telecommunications Engineering, University of Wollongong (UoW), Wollongong, NSW 2522, Australia
A1 Kashem M. Muttaqi
AD Department of Electrical, Computer and Telecommunications Engineering, University of Wollongong (UoW), Wollongong, NSW 2522, Australia
A1 Graham Town
AD Department of Engineering, Macquarie University, Sydney, NSW 2109, Australia

PB iet
T1 Accurate range estimation for an electric vehicle including changing environmental conditions and traction system efficiency
JN IET Electrical Systems in Transportation
VO 7
IS 2
SP 117
OP 124
AB Range anxiety is an obstacle to the acceptance of electric vehicles (EVs), caused by drivers’ uncertainty regarding their vehicle's state of charge (SoC) and the energy required to reach their destination. Most estimation methods for these variables use simplified models with many assumptions that can result in significant error, particularly if dynamic and environmental conditions are not considered. For example, the combined efficiency of the inverter drive and electric motor varies throughout the route and is not constant as assumed in most range estimation methods. This study proposes an improved method for SoC and range estimation by taking into account location-dependent environmental conditions and time-varying drive system losses. To validate the method, an EV was driven along a selected route and the measured EV battery SoC at the destination was compared with that predicted by the algorithm. The results demonstrated excellent accuracy in the SoC and range estimation, which should help alleviate range anxiety.
K1 vehicle state of charge
K1 range anxiety
K1 traction system efficiency
K1 electric motor
K1 time-varying drive system losses
K1 EVs
K1 electric vehicle
K1 EV battery SoC
K1 location-dependent environmental conditions
K1 range estimation method
K1 driver uncertainty
K1 inverter drive
DO https://doi.org/10.1049/iet-est.2015.0052
UL https://digital-library.theiet.org/;jsessionid=1ttr1ammj9p7d.x-iet-live-01content/journals/10.1049/iet-est.2015.0052
LA English
SN 2042-9738
YR 2017
OL EN