IDEAS home Printed from https://ideas.repec.org/a/igg/jsir00/v13y2022i1p1-22.html
   My bibliography  Save this article

Wireless Power Transfer With Inductive Coupling for EVs: A Parametric Optimization-Based Approach

Author

Listed:
  • Pranjal Jog

    (Career Point University, Kota, India)

  • R. K. Kumawat

    (I. K. Gujral Punjab Technical University, Amritsar, India)

Abstract

Electric vehicles (EVs) are expected to replace the fuel-based vehicles on the road that are polluting the environment soon. Wireless charging is based on a concept that was developed 30 years ago, which works on inductive power transmission. EVs of all classes and power levels may presently be charged from a single ground source using wireless charging systems, which are efficient and adaptable. The entire system can be automated by utilizing wireless power transfer (WPT) technology. Designing a new mathematical expression that can be utilized to determine a charging system's efficiency is the main goal of the current effort. Then the physical variables and efficiency parameters involved in the WPT system are optimally tuned by a revamped Harris Hawks Optimization Algorithm, which is a conceptual improvement of the Harris Hawks Optimization (HHO) algorithm. Finally, an experimental investigation is carried out to prove the fact that proposed algorithm is capable of solving the test functions with greater accuracy and improved efficiency.

Suggested Citation

  • Pranjal Jog & R. K. Kumawat, 2022. "Wireless Power Transfer With Inductive Coupling for EVs: A Parametric Optimization-Based Approach," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 13(1), pages 1-22, January.
    • Handle: RePEc:igg:jsir00:v:13:y:2022:i:1:p:1-22
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSIR.313666
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jsir00:v:13:y:2022:i:1:p:1-22. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.