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
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;
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2014 IEEE
Conference_Location :
Dearborn, MI
DOI :
10.1109/ITEC.2014.6861815
