Mutual and Self-Inductance Variation in Misaligned Coupler of Inductive Power Transfer System: Mechanism, Influence, and Solutions

Xiaochen Zhang, Xiaona Wang, Pan Sun (), Jun Sun and Jin Cai
Additional contact information
Xiaochen Zhang: College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
Xiaona Wang: College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
Pan Sun: College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
Jun Sun: College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
Jin Cai: College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China

Energies, 2023, vol. 16, issue 13, 1-16

Abstract: This article focuses on the self- and mutual inductance variation of a coupler with ferrite in an Inductive Power Transfer (IPT) system. The mechanism of the variation was analyzed using the magnetic field splitting method, revealing that varying the reluctance leads to inductance variability. Additionally, the inductance variation trends were explored by Finite Element Analysis (FEA), based on which the input angle and voltage gain of an LCC-S type IPT system were calculated when coupler misalignment occurred. Then, an input voltage adjustment and frequency tracking compound control method was designed to neutralize the effect of inductance variability, which was validated by simulation. Finally, a prototype LCC-S type IPT system was fabricated. Experimental results reveal a 35.28% variation in self-inductance over the misalignment range, and the compound control managed to stabilize the output voltage and maintain the soft switching of the inverter with system efficiency remaining above 86% up to 94.27%. The proposed mechanism of inductance variation and compound control are instructive for solving the coupler misalignment problem in IPT systems.

Keywords: coupler misalignment; inductance variation mechanism; Inductive Power Transfer (IPT); system operation characteristic (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/13/5173/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/13/5173/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:13:p:5173-:d:1187296

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().