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

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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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Acknowledgments

This work was partially supported by the funds of SECOM Science and Technology Foundation, by MEXT/JSPS KAKENHI Grant (B) Number 24,360,230/25,280,033, and by the Japanese Ministry of Land, Infrastructure, transport and Tourism funds for development of advanced technology in housing and buildings construction.

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  1. Graduate School of Science and Technology, Keio University, Yokohama, Japan

    Tomoya Imanishi & Hiroaki Nishi

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  1. Tomoya Imanishi
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  2. Hiroaki Nishi
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Correspondence to Tomoya Imanishi or Hiroaki Nishi.

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Imanishi, T., Nishi, H. Estimation of Required EVs Battery Capacity for Leveling Demand Energy Considering Parking Durations. Int. J. ITS Res. 15, 155–165 (2017). https://doi.org/10.1007/s13177-016-0129-8

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  • DOI: https://doi.org/10.1007/s13177-016-0129-8

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