DocumentCode
188526
Title
Autonomy estimation for EV based on road planning software
Author
Chrenko, Daniela ; Ravey, Alexandre ; Roche, Robin ; Bouquain, David
Author_Institution
Inst. Super. de l´Automobile et des Transp., Univ. of Burgundy, Nevers, France
fYear
2014
fDate
15-18 June 2014
Firstpage
1
Lastpage
4
Abstract
A methodology to estimate the energy consumption of an electric vehicle is presented. An approach to create a driving cycle based on data extracted from road planning software is developed; it is used to forecast the total cycle energy consumption. Results are compared to the ones obtained from the corresponding actual driving cycle. The influence of road elevation is taken into. Results match with regard to vehicle velocities, power demand and estimated energy consumption, with a maximum error of 10%. It can thus be concluded that road planning-based energy consumption estimation can be a useful tool by providing accurate information to drivers.
Keywords
electric vehicles; planning; road vehicles; traffic information systems; autonomy estimation; data extraction; driving cycle; electric vehicle; energy consumption estimation; power demand; road elevation; road planning software; total cycle energy consumption forecasting; vehicle velocities; Acceleration; Energy consumption; Estimation; Planning; Roads; Software; Vehicles; driving cycle; electric vehicle; range anxiety; road planning software;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation Electrification Conference and Expo (ITEC), 2014 IEEE
Conference_Location
Dearborn, MI
Type
conf
DOI
10.1109/ITEC.2014.6861815
Filename
6861815
Link To Document