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  1. International Journal of Intelligent Transportation Systems Research
  2. International Journal of Intelligent Transportation Systems Research : Volume 15
  3. International Journal of Intelligent Transportation Systems Research : Volume 15, Issue 3, September 2017
  4. Estimation of Required EVs Battery Capacity for Leveling Demand Energy Considering Parking Durations
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International Journal of Intelligent Transportation Systems Research : Volume 15
International Journal of Intelligent Transportation Systems Research : Volume 15, Issue 3, September 2017
Extension of Cellular Automata for Dynamic Vehicle Tracking
On Software-based Remote Vehicle Monitoring for Detection and Mapping of Slippery Road Sections
Estimation of Required EVs Battery Capacity for Leveling Demand Energy Considering Parking Durations
Safe and Environment-Friendly Forward Collision Warning Messages in the Advance Warning Area of a Construction Zone
Estimation of Scaling Factors for Traffic Counts Based on Stationary and Mobile Sources of Data
Analysis of Accident Risks from Driving Behaviors
International Journal of Intelligent Transportation Systems Research : Volume 15, Issue 2, May 2017
International Journal of Intelligent Transportation Systems Research : Volume 15, Issue 1, January 2017
International Journal of Intelligent Transportation Systems Research : Volume 14
International Journal of Intelligent Transportation Systems Research : Volume 13
International Journal of Intelligent Transportation Systems Research : Volume 12
International Journal of Intelligent Transportation Systems Research : Volume 11
International Journal of Intelligent Transportation Systems Research : Volume 10
International Journal of Intelligent Transportation Systems Research : Volume 9
International Journal of Intelligent Transportation Systems Research : Volume 8

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

Content Provider Springer Nature Link
Author Imanishi, Tomoya Nishi, Hiroaki
Copyright Year 2016
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.
Starting Page 155
Ending Page 165
Page Count 11
File Format PDF
ISSN 13488503
Journal International Journal of Intelligent Transportation Systems Research
Volume Number 15
Issue Number 3
e-ISSN 18688659
Language English
Publisher Springer US
Publisher Date 2016-07-22
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Energy management Batteries Smart grid Electric vehicles Electrical Engineering Automotive Engineering Robotics and Automation Computer Imaging, Vision, Pattern Recognition and Graphics Civil Engineering User Interfaces and Human Computer Interaction
Content Type Text
Resource Type Article
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