Multi‐Objective Optimization of the Composite Shielding Layer for EV Wireless Charging Magnetic Couplers Using NSGA‐II

ABSTRACT The research, development, and application of wireless charging technology for electric vehicles have emerged as a prominent research focus. However, traditional magnetic couplers have inherent defects: They are prone to magnetic saturation and inductance attenuation under high‐current operating conditions and suffer from the drawbacks of heavy weight and high brittleness that cause material cracking. To address the above issues, this paper proposes a magnetic coupler for electric vehicle wireless charging with a checkerboard‐structured composite magnetic shielding layer composed of flexible ferrite sheets and nanocrystalline ribbons and performs multi‐objective parametric optimization on its composite shielding layer structure in combination with the Non‐dominated Sorting Genetic Algorithm II (NSGA‐II). For the problem that ferromagnetic material loss compromises the efficiency of wireless charging systems, this paper investigates the influence regularities of the shape and thickness parameters of the magnetic shielding structure on system loss and inductance attenuation characteristics. Verified by simulations and experiments, the proposed magnetic coupler achieves a DC–DC transmission efficiency of 91.29% at an output power of 3.3 kW. Under the constant voltage mode with 330 V output, the maximum efficiency of the proposed shielding structure reaches 91.49%, which is approximately 1.27% higher than that of magnetic couplers equipped with traditional ferrite shielding layers, while reducing shielding layer volume by 18.7% and weight by 18.3%.

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Publication Details

Journal
International Journal of Circuit Theory and Applications
Published
2026-08-14
DOI
https://doi.org/10.1002/cta.70605
Primary Topic
Wireless Power Transfer Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi‐Objective Optimization of the Composite Shielding Layer for EV Wireless Charging Magnetic Couplers Using NSGA‐II

Zhihao Wei, C. Wang, Entong Man, Changyu Jian et al.
International Journal of Circuit Theory and Applications
Wireless Power Transfer Systems
article

Multi‐Objective Optimization of the Composite Shielding Layer for EV Wireless Charging Magnetic Couplers Using NSGA‐II

Zhihao Wei, C. Wang, Entong Man, Changyu Jian, Feiyang Lei, Rui Li, Fang Wang
article en

Abstract

ABSTRACT The research, development, and application of wireless charging technology for electric vehicles have emerged as a prominent research focus. However, traditional magnetic couplers have inherent defects: They are prone to magnetic saturation and inductance attenuation under high‐current operating conditions and suffer from the drawbacks of heavy weight and high brittleness that cause material cracking. To address the above issues, this paper proposes a magnetic coupler for electric vehicle wireless charging with a checkerboard‐structured composite magnetic shielding layer composed of flexible ferrite sheets and nanocrystalline ribbons and performs multi‐objective parametric optimization on its composite shielding layer structure in combination with the Non‐dominated Sorting Genetic Algorithm II (NSGA‐II). For the problem that ferromagnetic material loss compromises the efficiency of wireless charging systems, this paper investigates the influence regularities of the shape and thickness parameters of the magnetic shielding structure on system loss and inductance attenuation characteristics. Verified by simulations and experiments, the proposed magnetic coupler achieves a DC–DC transmission efficiency of 91.29% at an output power of 3.3 kW. Under the constant voltage mode with 330 V output, the maximum efficiency of the proposed shielding structure reaches 91.49%, which is approximately 1.27% higher than that of magnetic couplers equipped with traditional ferrite shielding layers, while reducing shielding layer volume by 18.7% and weight by 18.3%.

International Journal of Circuit Theory and Applications
Qingdao University (CN), Qingdao Agricultural University (CN), State Grid Corporation of China (China) (CN), Qingdao University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 18%
Wireless Power Transfer Systems
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