Optimization Design of a Double-Layer Heterogeneous Magnetic Core Structure for Wireless Power Transfer Using a Multi-Objective Genetic Algorithm

XU Xianfeng; YANG Xiongzheng; ZHANG Yulong; LI Xiangbo; ZHOU Xiao; XUAN Liang

doi:10.7652/xjtuxb202608012

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Optimization Design of a Double-Layer Heterogeneous Magnetic Core Structure for Wireless Power Transfer Using a Multi-Objective Genetic Algorithm

更新时间：2026-07-28

- Optimization Design of a Double-Layer Heterogeneous Magnetic Core Structure for Wireless Power Transfer Using a Multi-Objective Genetic Algorithm
- Journal of Xi'an Jiaotong University Vol. 60, Issue 8, Pages: 136-148(2026)
- 作者机构：
  
  长安大学能源与电气工程学院，710064，西安
  西南交通大学利兹学院，611756，成都
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202608012
  CLC： TM724
- Received：26 December 2025，
  
  Online First：20 March 2026，
  
  Published：10 August 2026
- 稿件说明：
移动端阅览
XU Xianfeng, YANG Xiongzheng, ZHANG Yulong, et al. Optimization Design of a Double-Layer Heterogeneous Magnetic Core Structure for Wireless Power Transfer Using a Multi-Objective Genetic Algorithm[J]. Journal of Xi'an Jiaotong University, 2026, 60(8): 136-148.
DOI：

XU Xianfeng, YANG Xiongzheng, ZHANG Yulong, et al. Optimization Design of a Double-Layer Heterogeneous Magnetic Core Structure for Wireless Power Transfer Using a Multi-Objective Genetic Algorithm[J]. Journal of Xi'an Jiaotong University, 2026, 60(8): 136-148. DOI： 10.7652/xjtuxb202608012.

摘要

针对无线电能传输磁芯层质量大、受振易碎降低传输能效等问题，充分利用铁氧体-软磁复合材料（SMC）的高磁导率与低损耗特性，提出了一种非支配排序多目标遗传算法与有限元联合仿真三目标优化框架和混合铁氧体-SMC的多材料双层磁芯结构。首先，采用Steinmetz方程建立磁性材料铁损测算模型，明确最大传输能效和电磁安全限值以确立优化目标；然后，通过参数化扫描确定磁芯层厚度，进行不同尺寸离散化网格划分编号预处理，简化1/4模型以提升优化速率；最后，以耦合系数、漏磁均值和铁损为优化目标，将SMC材料及空隙体积分数纳入约束条件进行全局寻优。研究结果表明：混合磁芯结构使得铁氧体体积减小43.13%，耦合系数提升0.26%，漏磁、铁损、磁芯层总质量和总成本分别降低约2.51%、40.60%、24.37%、10.71%；相较于传统方案，所提结构将输出功率和效率分别提升了5.93%、0.19%，且具备较强宽功率适配性，验证了优化框架与结构的可行性。该研究可为磁性材料几何构型优化提供理论参考。

Abstract

To address the issues of large mass

fragility under vibration

and resulting transmission efficiency loss of magnetic cores in wireless power transfer systems

a tri-objective optimization framework combining the non-dominated sorting genetic algorithm Ⅱ with finite element method

along with a hybrid ferrite-soft magnetic composite (SMC) double-layer magnetic core structure

was proposed. The high permeability and low-loss characteristics of both materials were fully exploited. First

a magnetic loss calculation model was established using the Steinmetz equation to define the optimization objectives under maximum transmission efficiency and electromagnetic safety constraints. Second

the magnetic core thickness was determined via parametric scanning， followed by discretized mesh generation and numbering preprocessing; a quarter-model was adopted to improve optimization efficiency. Finally

global optimization was performed with coupling coefficient

mean leakage flux

and core loss as objectives

while the volume fractions of SMC and air gap are used as constraints. The simulation results demonstrate that the proposed hybrid core structure reduces ferrite volume by 43.13%

increases the coupling coefficient by 0.26%

and decreases leakage flux

core loss

total mass

and total cost by 2.51%

40.60%

24.37%

and 10.71%

respectively. The experimental results show that output power and efficiency are improved by 5.93% and 0.19% compared with conventional designs

along with strong wide-range power adaptability

which verifies the feasibility of the proposed framework and structure. This study provides a theoretical reference for the geometric optimization of magnetic materials in wireless power transfer applications.

关键词

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