Stochastic modeling for studies of real-world PHEV usage: driving schedule and daily temporal distributions

Lee, T.-K. and Bareket, Z. and Gordon, T. and Filipi, Z. S. (2012) Stochastic modeling for studies of real-world PHEV usage: driving schedule and daily temporal distributions. IEEE Transactions on Vehicular Technology, 61 (4). pp. 1493-1502. ISSN 0018-9545

Full content URL: http://dx.doi.org/10.1109/TVT.2011.2181191

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Item Type:Article
Item Status:Live Archive

Abstract

Daily driving missions provide the fundamental information required to predict the impact of the plug-in hybrid electric vehicle (PHEV) on the grid. In this paper, we propose a statistical modeling approach of daily driving mission sets. The approach consists of temporal distribution modeling and the synthesis of individual representative cycles. The proposed temporal distribution model can capture departure and arrival time distributions with a small number of samples by statistically relating the distributions. Then, representative naturalistic cycles are constructed through a stochastic process and a subsequent statistical analysis with respect to driving distance. They are randomly assigned to the temporal distribution model to build up complete daily driving missions. The proposed approach enables the assessment of the impact on the grid of a large-scale deployment of PHEVs using a small number of simulations capturing real-world driving patterns and the temporal distributions of departure and arrival times. © 2012 IEEE.

Additional Information:First published online December 2011
Keywords:Arrival time, Arrival-time distributions, Daily driving mission, Driving distance, Driving pattern, Large-scale deployment, Number of samples, Plugin hybrid electric vehicles (PHEV), real-world driving, Statistical modeling, Stochastic modeling, Temporal distribution, Statistical methods, Random processes
Subjects:H Engineering > H100 General Engineering
H Engineering > H330 Automotive Engineering
Divisions:College of Science > School of Engineering
ID Code:11648
Deposited On:01 Oct 2013 18:27

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