Optimized Design of Shielding Structure for High Offset Tolerance WPT System Based on Fused Uncertainty Surrogate Model

Authors

  • T. H. Wang College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China
  • K. F. Zhao College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China
  • H. W. Duan College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China
  • G. Lv College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China
  • Q. Y. Yu College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China
  • S. S. Guan College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China

DOI:

https://doi.org/10.13052/2025.ACES.J.401105

Keywords:

Exponential distribution optimizer, robust optimization, transformer, uncertainty quantification, wireless power transfer

Abstract

In the practical application of wireless power transfer (WPT), an offset between the coupling mechanisms can lead to an increase in harmful leakage of magnetic fields around the system and a decrease in the efficiency of energy transfer. In this paper, we propose to use the uncertainty quantitative surrogate model to guide optimal design of the shielding structure in order to reduce the leakage magnetic field and improve energy transfer efficiency, taking into account the positional offsets of the WPT system in use. In this paper, the uncertainty of the leakage magnetic field and the energy transfer efficiency of the WPT system is quantified based on the improved Transformer surrogate model of the Kolmogorov-Arnold Network, and computational time cost is reduced by 90.97%. The multi-objective exponential distribution optimizer is combined with a surrogate model to obtain the robust optimal structure under the influence of bias. Finally, it is experimentally verified that the robust optimal structure is able to maintain both low leakage magnetic field and high energy transfer efficiency under the influence of offset. Compared with the traditional deterministic optimal structure, the mean of the energy transfer efficiency of the robust optimal structure is increased by 4.95%, and the probability of overrun is reduced to 0. Experiments demonstrate that the robust structure can improve the offset tolerance of the system more effectively and ensure the electromagnetic safety of users at the same time.

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Author Biographies

T. H. Wang, College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China

T. H. Wang received the B.S. degree in electrical engineering and the Ph.D. degree in vehicle engineering from Jilin University, Changchun, Jilin, China, in 2010 and 2016, respectively. From 2016 to 2019, he was a Post-Doctoral Researcher at the Department of Science and Technology of Instrument, Jilin University, where he is currently an Associate Professor with the College of Instrumentation and Electrical Engineering. His research interests include the uncertainty quantification of wireless power transfer of EVs and human electromagnetic exposure safety.

K. F. Zhao, College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China

K. F. Zhao received the B.S. degree in electrical engineering and automation from the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin, China, in 2023, where he is currently pursuing the M.S. degree in electrical engineering. His research interests include human electromagnetic safety protection and electromagnetic compatibility of EVs.

H. W. Duan, College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China

H. W. Duan received the B.S. degree in electrical engineering and automation from the College of Electrical Engineering, Northeast Electric Power University, Jilin, China, in 2024. He’s currently working on his M.S. degree at Jilin University, Jilin. Since 2024, he has worked on the operation and the application of micro-grid systems.

G. Lv, College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China

G. Lv received the master’s degree in electronic circuit and system from College of Electronic Science & Engineering, Jilin University, Changchun, Jilin, China, in 2008. He joined the National Automotive Quality Supervision & Inspection Center (Changchun) after graduation. He is currently head of the EMC department. He is in charge of EMC performance in vehicle approval under the direction of the Ministry of Industry and Information Technology (MIIT) and Certification and Accreditation Administration of the P.R.C. He focuses on test methods improving and National Standards edit and amendment in EMC domain. He has joined teams responsible for EMC part of “Test and evaluation of autonomous electric vehicle” subject which is released by Ministry of Science and Technology (MOST) and “Research on real-time concurrent simulation test technology of multi-source sensor information of intelligent networked vehicle” which is released by Science and Technology Department of Jilin Province.

Q. Y. Yu, College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China

Q. Y. Yu received the B.S. and the M.S. degrees from the College of Communication Engineering, Jilin University, Changchun, Jilin, China, in 2016 and 2020, respectively, where he is pursuing the Ph.D. degree. His research interests include uncertainty quantification and electromagnetic compatibility of EVs.

S. S. Guan, College of Instrumentation & Electrical Engineering Jilin University, Changchun 130026, China

S. S. Guan received the B.S. degree in precision instruments and machinery and the Ph.D. degree in measurement technology and instruments from Jilin University, Changchun, Jilin, China, in 2008 and 2012, respectively. In 2019, she was a Visiting Scholar at the Southern University of Science and Technology, Shenzhen. She is currently an Associate Professor with the College of Instrumentation and Electrical Engineering, Jilin University. Her research interests include forward modeling and inverse algorithms of EM fields, and the development of electromagnetic instruments.

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Published

2025-11-30

How to Cite

[1]
T. H. . Wang, K. F. . Zhao, H. W. . Duan, G. . Lv, . Q. Y. . Yu, and S. S. . Guan, “Optimized Design of Shielding Structure for High Offset Tolerance WPT System Based on Fused Uncertainty Surrogate Model”, ACES Journal, vol. 40, no. 11, pp. 1090–1101, Nov. 2025.

Issue

2025: Vol 40 Iss 11

Section

General Submission

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