Research on Frequency Stability and Efficiency Optimization in Magnetically Coupled Resonant Wireless Charging Systems

Xiaotong Liu

doi:10.47297/taposatWSP2633-456921.20250608

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Research on Frequency Stability and Efficiency Optimization in Magnetically Coupled Resonant Wireless Charging Systems

6卷第8期

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Research on Frequency Stability and Efficiency Optimization in Magnetically Coupled Resonant Wireless Charging Systems
Research on Frequency Stability and Efficiency Optimization in Magnetically Coupled Resonant Wireless Charging Systems
Jilin University, Changchun, Jilin, 130012, China
2025年6卷第8期页码：111-116
纸质出版：2025-08-30
DOI：10.47297/taposatWSP2633-456921.20250608
Accepted：

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(2025). Research on Frequency Stability and Efficiency Optimization in Magnetically Coupled Resonant Wireless Charging Systems. 科技理论与实践（英文版）, 6(8), 111-116.

Liu Xiaotong.Research on Frequency Stability and Efficiency Optimization in Magnetically Coupled Resonant Wireless Charging Systems[J].Theory and Practice of Science and Technology,2025,06(08):111-116.
(2025). Research on Frequency Stability and Efficiency Optimization in Magnetically Coupled Resonant Wireless Charging Systems. 科技理论与实践（英文版）, 6(8), 111-116. DOI： 10.47297/taposatWSP2633-456921.20250608.

Liu Xiaotong.Research on Frequency Stability and Efficiency Optimization in Magnetically Coupled Resonant Wireless Charging Systems[J].Theory and Practice of Science and Technology,2025,06(08):111-116. DOI： 10.47297/taposatWSP2633-456921.20250608.

摘要

Abstract

To address the issues of frequency detuning and the difficulty of simultaneously optimizing efficiency and cost in magnetic resonance wireless power transfer (MR-WPT) systems under composite interference

this paper proposes a fuzzy-PSO hybrid frequency tracking algorithm and constructs a three-dimensional topology evaluation model and a dual-objective optimization framework based on efficiency

stability

and cost. Simulation results demonstrate that the proposed hybrid algorithm reduces frequency tracking error by over 30% compared to traditional methods and improves convergence speed by 40%. The three-dimensional evaluation model identifies the optimal application scenarios for S-S

S-P

and P-P topologies. Genetic algorithm optimization achieves a 15% increase in system efficiency and a 20% reduction in cost. This study provides effective algorithmic strategies and design guidelines for the industrialization of MR-WPT systems.

关键词

Keywords

references

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