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Artificial driving cycles for the evaluation of energetic needs of electric vehicles

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3 Author(s)
Daniela Chrenko ; Institut Supérieur de l'Automobile et des Transports, DRIVE ID-MOTION Laboratory, University of Burgundy, 49 rue Mlle Bourgoise, 58027 Nevers, France ; Irene Garcia Diez ; Luis Le Moyne

This article presents a novel method to simulate artificial driving cycles that have the same significant characteristics as measured driving cycles. The driving cycles are based on only two different easily accessible parameters namely mean velocity and mean positive acceleration as well as their standard variations. Those parameters allow to adapt the driving cycles to different cycle types (urban, extra urban, highway), length and duration. Other than know drive cycle simulators, the approach is based on normal distribution of velocities and accelerations, thus needing to analyze only few cycles for the initialization.

Published in:

2012 IEEE Transportation Electrification Conference and Expo (ITEC)

Date of Conference:

18-20 June 2012