DocumentCode :
1406424
Title :
Stochastic Modeling for Studies of Real-World PHEV Usage: Driving Schedule and Daily Temporal Distributions
Author :
Lee, Tae-Kyung ; Bareket, Zevi ; Gordon, Timothy ; Filipi, Zoran S.
Author_Institution :
Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
Volume :
61
Issue :
4
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
1493
Lastpage :
1502
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.
Keywords :
hybrid electric vehicles; statistical analysis; daily driving mission sets; daily temporal distributions; driving distance; driving schedule; plug-in hybrid electric vehicle; real-world PHEV usage; statistical analysis; stochastic modeling; temporal distribution modeling; Electricity; Force; Gaussian distribution; Predictive models; Schedules; Stochastic processes; Vehicles; Daily driving mission; plug-in hybrid electric vehicle (PHEV); real-world driving; stochastic process; temporal distribution;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2011.2181191
Filename :
6111493
Link To Document :
بازگشت