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International Journal of Intelligent Transportation Systems Research
Published in: International Journal of Intelligent Transportation Systems Research 3/2017

22-07-2016

Estimation of Required EVs Battery Capacity for Leveling Demand Energy Considering Parking Durations

Authors: Tomoya Imanishi, Hiroaki Nishi

Published in: International Journal of Intelligent Transportation Systems Research | Issue 3/2017

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Abstract

Vehicle-to-grid (V2G) is a key technology that is receiving significant attention as a method for achieving an efficient energy management system (EMS) by connecting electric vehicles (EVs) to an electric power grid. In this study, a fuzzy control method and an optimization control method were proposed as effective control methods for reducing the installation battery capacity and the electric charge in one day by leveling the electric load. As the result, the required battery capacity was 429 kWh for IEVBS model, and 480 kWh for MEVBS model using optimization control method. The control method could save at most $17.98 of an electric bill and achieve power leveling.
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Metadata
Title
Estimation of Required EVs Battery Capacity for Leveling Demand Energy Considering Parking Durations
Authors
Tomoya Imanishi
Hiroaki Nishi
Publication date
22-07-2016
Publisher
Springer US
Published in
International Journal of Intelligent Transportation Systems Research / Issue 3/2017
Print ISSN: 1348-8503
Electronic ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-016-0129-8

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