NDLI: Deviations in Markov chain modeled electric vehicle charging patterns from real world data

Content Provider	IEEE Xplore Digital Library
Author	Hill, G. Blythe, P.T. Higgins, C.
Copyright Year	2012
Description	Author affiliation: Intelligent Transport Systems with the Transport Operations Research Group, Newcastle University, Newcastle upon Tyne, UK (Blythe, P.T.) \|\| Transport Operations Research Group, Newcastle University, Newcastle upon Tyne, UK (Hill, G.; Higgins, C.)
Abstract	Within this paper a Markov chain is used to simulate the charging and driving behavior of a cohort of electric vehicles. The probability transition matrix is constructed by analyzing the real world data from an ongoing Electric Vehicle (EV) trial, Switch EV. The vehicles are split into a combination of drive, park and charge states as well as low, mid and high state of charge. The Markov chain is formed from the probability of transitioning between each state for a specified time period. The Markov chain produced results from both work and home based charging regimes that correlate well with the real world results with modeled results showing the features present in real world data. From comparisons of fresh sample runs to the ideal modeled charging distribution it can be seen that the Markov chain has little systematic difference between the ideal distribution and the newly generated distribution within a short period of time. The Markov chain was used to investigate the effect on the charging pattern from a large perturbation of the vehicle state population. It is found that despite initial fluctuations to the charging pattern, which qualitatively correspond with expectations, the population distribution settles down into a typical pattern within 1–2 days.
Starting Page	1072
Ending Page	1077
File Size	546283
Page Count	6
File Format	PDF
ISBN	9781467330640
ISSN	21530009
e-ISBN	9781467330633
e-ISBN	9781467330626
DOI	10.1109/ITSC.2012.6338818
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Markov processes Sociology Statistics Data models Switches Batteries
Content Type	Text
Resource Type	Article

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