Title :
REV-cycle: A MATLAB-based tool for large-data analysis of real-life driving cycles for electric vehicles
Author :
Gauchia, A. ; Jafari, M. ; Zhang, K. ; Gauchia, L.
Author_Institution :
Michigan Technol. Univ., Houghton, MI, USA
Abstract :
Electric vehicles are increasingly being adopted due to environmental awareness and competitive technical performance and reducing prices. Their research and development has sometimes relied on the use of standard driving cycles. However, these cycles cannot reproduce the variations of traffic flow in real world. That is why in this paper we develop a software tool able to analyze real-life driving cycles for electric vehicles. To do so, a driving trajectory process tool is used to obtain large data for vehicles driving in the same stretch of highway. To show the performance of the developed tool, sample cycles are analyzed and simulated for electric vehicles automatically in the REV-Cycle (Real Electric Vehicle Cycle analyzer) software presented.
Keywords :
data analysis; electric vehicles; driving trajectory process tool; environmental awareness; real electric vehicle cycle analyzer; real-life driving cycle data analysis; software tool; Discharges (electric); Engines; MATLAB; Mathematical model; Standards; System-on-chip; Vehicles;
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2015 IEEE
Conference_Location :
Dearborn, MI
DOI :
10.1109/ITEC.2015.7165787