• DocumentCode
    1073627
  • Title

    Microprocessor-controlled new class of optimal battery chargers for photovoltaic applications

  • Author

    Masoum, Mohamad A S ; Badejani, Seyed Mahdi Mousavi ; Fuchs, Ewald F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    19
  • Issue
    3
  • fYear
    2004
  • Firstpage
    599
  • Lastpage
    606
  • Abstract
    A simple, fast and reliable technique for charging batteries by solar arrays is proposed. The operating point of a battery is carefully forced near the maximum power point of solar cells under all environmental (e.g., insolation, temperature, degradation) conditions. Optimal operation of solar arrays is achieved using the Voltage-Based Maximum Power Point Tracking (VMPPT) technique and the charger operating point is continuously adjusted by changing the charging current. An optimal solar battery charger is designed, simulated and constructed. Experimental and theoretical results are presented and analyzed. The main advantages of the proposed solar battery charger as compared with conventional ones are shorter charge time and lower cost.
  • Keywords
    battery chargers; control engineering computing; microprocessor chips; optimal control; power engineering computing; secondary cells; solar cell arrays; microprocessor; optimal battery chargers; photovoltaic applications; solar arrays; voltage-based maximum power point tracking; Batteries; Costs; Degradation; Photovoltaic cells; Photovoltaic systems; Solar power generation; Solar system; Temperature; Voltage; Water storage; Charger; MPPT; maximum power point tracking; microprocessor; photovoltaic;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2004.827716
  • Filename
    1325300