Ali, Arshaque and Kumar, Ashneel and Mehta, Utkal V. and Cirrincione, Maurizio (2024) Intelligent Data–Driven Approach for Fractional-Order Wireless Power Transfer System. In: Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications. Routledge, USA. ISBN 9781032472065
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Abstract
Wireless Power Transfer (WPT) is an attractive concept as it allows electrical energy to be transferred from a source to a load without the use of cables. Contactless charging solutions are considered more reliable because the issues of corrosion and intrusion of foreign matter, such as
dust and moisture, are eliminated. Traditionally, integer-order capacitors and inductors have been employed in WPT systems. These integer-order classical systems, however, have disadvantages such as low efficiency, high sensitivity to parameter variations, and frequency. In this chapter, a
fractional-order wireless power system combining magnetic resonance coupling and a fractional-order capacitor (FOC) has been proposed to address the difficulties. The behaviour of a FOC was explored in simulation after it was approximated via transfer function synthesis. The incorporation of the FOC in the WPT system and the classical WPT scenarios was investigated. To further validate the findings, a low-power WPT system was developed to establish a sense of similarity between the simulation and the experimental results. According to the findings, employing the intended FOC with an order less than one enhanced the stability of the WPT system while incurring an acceptable loss in efficiency and enabled it to operate at frequencies lower than the resonance frequency.
| Item Type: | Book Chapter |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > Robotics and Automation |
| Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics |
| Depositing User: | Utkal Mehta |
| Date Deposited: | 31 Jan 2024 22:20 |
| Last Modified: | 31 Jan 2024 22:20 |
| URI: | https://repository.usp.ac.fj/id/eprint/14324 |
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