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

Tomoya Imanishi, Hiroaki Nishi

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)155-165
Number of pages11
JournalInternational Journal of Intelligent Transportation Systems Research
Volume15
Issue number3
DOIs
Publication statusPublished - 2017 Sep 1

Fingerprint

Electric Vehicle
Parking
Battery
Energy
Electric loads
Energy management systems
Electric charge
Fuzzy control
Electric vehicles
Grid
Energy Management
Fuzzy Control
Optimization Model
Demand
Battery electric vehicles
Charge
Technology
Optimization

Keywords

  • Batteries
  • Electric vehicles
  • Energy management
  • Smart grid

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

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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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