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In this paper, a multi-objective optimization design method for a Loosely Coupled Transformer (LCT), based on the NSGA-II algorithm and Finite Element Analysis (FEA), is proposed for a low-voltage and high-current wireless charging system. The method aims to simultaneously minimize the total power loss of the system and the manufacturing cost of the LCT. By establishing a system model that includes accurate Litz wire AC loss and core loss, and by jointly optimizing the key geometric parameters of the LCT coils, the Pareto optimal frontier between the total system loss and the LCT cost is successfully obtained. The optimization results demonstrate that, compared to a baseline design, the system loss can be reduced from 47 W to 44.1 W (a decrease of 6.2%) at a comparable cost, or the LCT cost can be reduced by 27% while the loss remains nearly unchanged. A 2 kW experimental platform was constructed to verify the proposed optimal design scheme.

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Multi-objective Optimization of Loosely Coupled Transformer for Low-Voltage and High-Current Wireless Charging System

  • 会议论文

  • 发表日期：

    2026年

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  • Gang Yang,
  • Jianhui Su,
  • Zhananxin Tong,
  • Jian Zhang

摘要

In this paper, a multi-objective optimization design method for a Loosely Coupled Transformer (LCT), based on the NSGA-II algorithm and Finite Element Analysis (FEA), is proposed for a low-voltage and high-current wireless charging system. The method aims to simultaneously minimize the total power loss of the system and the manufacturing cost of the LCT. By establishing a system model that includes accurate Litz wire AC loss and core loss, and by jointly optimizing the key geometric parameters of the LCT coils, the Pareto optimal frontier between the total system loss and the LCT cost is successfully obtained. The optimization results demonstrate that, compared to a baseline design, the system loss can be reduced from 47 W to 44.1 W (a decrease of 6.2%) at a comparable cost, or the LCT cost can be reduced by 27% while the loss remains nearly unchanged. A 2 kW experimental platform was constructed to verify the proposed optimal design scheme.