Multi‐objective optimization of inductive power transfer system with reconfigurable topology for misalignment tolerance

Abstract At present, most of the analyses or studies about inductive power transfer (IPT) with constant current (CC) output and constant voltage (CV) output are carried out without considering misalignment conditions or different gaps. An IPT system satisfying battery charging demand and anti‐misalignment requirements simultaneously is infrequent. This paper proposes a multi‐objective particle swarm optimization method of IPT reconfigurable topology to realize CC and CV modes at varying resistance conditions and wide coupling ranges. The output characteristics of an inductor–capacitor–capacitor (LCC)–LCC compensation circuit have been explored, and it is found that the secondary‐side compensated capacitors have a greater impact on the output power, which can be used to improve power regulation ability accompanied by coupling varying. Eight optimization compensated parameters of the reconfigurable topology are obtained from the Pareto front to achieve the required CC and CV charging outputs. By switching the compensated capacitors, the selected parameters can make the current and voltage fluctuation less than 9.3% and 7.9%, respectively, during the coupling charging range from 0.3 to 0.22. Moreover, primary zero voltage switching operation is achieved to enable high efficiency. The simulation and the experimental verification are carried out to verify the validity of the proposed method.

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Publication Details

Journal
IET Power Electronics
Published
2024-10-16
DOI
https://doi.org/10.1049/pel2.12766
Citations
2
Primary Topic
Wireless Power Transfer Systems
Type
article
Field-Weighted Citation Impact
0.42

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article

Multi‐objective optimization of inductive power transfer system with reconfigurable topology for misalignment tolerance

Xu Yang, Qiujiang Liu, Junfeng Yang, Yanru Zhang
2 citations
IET Power Electronics
Wireless Power Transfer Systems
0.42
article

Multi‐objective optimization of inductive power transfer system with reconfigurable topology for misalignment tolerance

Xu Yang, Qiujiang Liu, Junfeng Yang, Yanru Zhang
article en
2 citations

Abstract

Abstract At present, most of the analyses or studies about inductive power transfer (IPT) with constant current (CC) output and constant voltage (CV) output are carried out without considering misalignment conditions or different gaps. An IPT system satisfying battery charging demand and anti‐misalignment requirements simultaneously is infrequent. This paper proposes a multi‐objective particle swarm optimization method of IPT reconfigurable topology to realize CC and CV modes at varying resistance conditions and wide coupling ranges. The output characteristics of an inductor–capacitor–capacitor (LCC)–LCC compensation circuit have been explored, and it is found that the secondary‐side compensated capacitors have a greater impact on the output power, which can be used to improve power regulation ability accompanied by coupling varying. Eight optimization compensated parameters of the reconfigurable topology are obtained from the Pareto front to achieve the required CC and CV charging outputs. By switching the compensated capacitors, the selected parameters can make the current and voltage fluctuation less than 9.3% and 7.9%, respectively, during the coupling charging range from 0.3 to 0.22. Moreover, primary zero voltage switching operation is achieved to enable high efficiency. The simulation and the experimental verification are carried out to verify the validity of the proposed method.

IET Power ElectronicsVol. 17(15)
Beijing Jiaotong University (CN), Nanyang Institute of Technology (CN)
National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 37%
Wireless Power Transfer Systems
0.42
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Multi‐objective optimization of inductive power transfer system with reconfigurable topology for misalignment tolerance — Xu Yang, Qiujiang Liu, et al. · IET Power Electronics (2024) | TGRS Research Map | TGRS