• DocumentCode
    579550
  • Title

    Optimal charging of plug-in electric vehicles for a car park infrastructure

  • Author

    Ma, Tan ; Mohamed, Ahmed ; Mohammed, Osama

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
  • fYear
    2012
  • fDate
    7-11 Oct. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper proposes an intelligent workplace parking garage for plug-in hybrid electric vehicles (PHEVs). The system involves the developed smart power charging controller, a 75kW photovoltaic (PV) panel, a DC distribution bus and the AC utility grid. Stochastic models of the power demanded by PHEVs in the parking garage and output power of PV are presented. In order to limit the impact of PHEVs´ charging on the utility AC grid, a fuzzy logic power flow controller is designed. Based on their power requirements, PHEVs were classified into five charging priorities with different rates according to the developed controller. The charging rates depend on the predicted PV output power, the power demand by the PHEVs and the price of energy from the utility grid. The developed system can dramatically limit the impacts of PHEVs on the utility grid and reduce the charging cost. The system structure and the developed PHEVs smart charging algorithm are described. Moreover, a comparison between the impacts of the charging process of the PHEVs on the grid with/without the developed smart charging technique is presented and analyzed.
  • Keywords
    automotive electrics; fuzzy control; hybrid electric vehicles; load flow control; power grids; pricing; stochastic processes; AC utility grid; DC distribution bus; PHEV; PHEV smart charging algorithm; PV panel; car park infrastructure; charging rates; energy prices; fuzzy logic power flow controller; intelligent workplace parking garage; photovoltaic panel; plug-in electric vehicle optimal charging; plug-in hybrid electric vehicles; power 75 kW; smart power charging controller; stochastic models; utility AC grid; Batteries; Electric vehicles; Energy consumption; Forecasting; Hybrid electric vehicles; Load flow; Predictive models; System-on-a-chip; Charging priority levels; fuzzy logic; hybrid DC distribution system; impacts limitation; plug-in hybrid electric vehicles; solar energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting (IAS), 2012 IEEE
  • Conference_Location
    Las Vegas, NV
  • ISSN
    0197-2618
  • Print_ISBN
    978-1-4673-0330-9
  • Electronic_ISBN
    0197-2618
  • Type

    conf

  • DOI
    10.1109/IAS.2012.6374035
  • Filename
    6374035