IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v7y2022i6id62863.html

Application of Intelligent Solar Panel Repositioning System for Improved Charging of Battery Cells

Author

Listed:
  • Matthew Ehikhamenle

    (University of Port Harcourt, Nigeria.)

  • Praise I. Onu

    (University of Port Harcourt, Nigeria.)

Abstract

This study presents intelligent re-calibration of mechanical and power electronic systems to carryout detection of the position of highest sunlight intensity; to intelligently repositioning of the solar panel to that direction for improved charge rate over short time ranges. The study also puts forward an additional feature being the deployment of IoT technology and internet communication protocols to achieve remote battery level monitoring and supply deactivation from an inverter driven by batteries to loads. The system was tested on two premises, the charge time for fixed panel as well as the charge time for sunlight position tracking panel. It was observed that the intelligent repositioning system offered significant reduction in the overall charge time. The battery level monitoring and power supply deactivation intelligence were tested and observed to offer improvements to the overall efficiency of the system.

Suggested Citation

  • Matthew Ehikhamenle & Praise I. Onu, 2022. "Application of Intelligent Solar Panel Repositioning System for Improved Charging of Battery Cells," European Journal of Engineering and Technology Research, European Open Science, vol. 7(6), pages 64-70, October.
  • Handle: RePEc:epw:ejeng0:v:7:y:2022:i:6:id:62863
    DOI: 10.24018/ejeng.2022.7.6.2863
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/62863
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejeng/article/download/62863/12875
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejeng.2022.7.6.2863?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejeng0:v:7:y:2022:i:6:id:62863. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.