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Optimization Method for Structural Parameters of WPT System Based on IPSO-BP Algorithm
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Zhenjie LI  Member, CPSS, Yuhong BAI, Yiqi LIU, Mingfei BAN
Journal of Power Supply | 2025, 23(8) : 174 - 181
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Journal of Power Supply | 2025, 23(8): 174-181
• Wireless Power Transfer •
Optimization Method for Structural Parameters of WPT System Based on IPSO-BP Algorithm
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Zhenjie LI  Member, CPSS, Yuhong BAI, Yiqi LIU, Mingfei BAN
Affiliations
  • College of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China
Published: 2025-12-30 doi: 10.13234/j.issn.2095-2805.2025.8.174
Outline
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To improve the transmission efficiency of a wireless power transfer (WPT) system, its structural parameters were optimized. Considering the low efficiency and poor comprehensiveness of the traditional optimization methods when designing the WPT system’s structural parameters, a parameter optimization model for an SS-type WPT system was established to determine the optimization parameters. On this basis, a structural parameter optimization method for the WPT system was proposed, which integrated orthogonal experiments, finite element simulation and improved particle swarm optimization-backpropagation neural network algorithm. Experimental results show that the average error between the predicted and experimental values was 4.3%, indicating that the proposed optimization method is reasonable, feasible and of reference significance for the structural parameter optimization of WPT systems.

Wireless power transfer (WPT)  /  particle swarm optimization algorithm  /  neural network  /  structural parameter optimization
李振杰中国电源学会会员, 白玉鸿, 刘一琦, 班明飞. 基于IPSO-BP算法的WPT系统结构参数优化方法. 电源学报, 2025 , 23 (8) : 174 -181 . DOI: 10.13234/j.issn.2095-2805.2025.8.174
Zhenjie LI, Yuhong BAI, Yiqi LIU, Mingfei BAN. Optimization Method for Structural Parameters of WPT System Based on IPSO-BP Algorithm[J]. Journal of Power Supply, 2025 , 23 (8) : 174 -181 . DOI: 10.13234/j.issn.2095-2805.2025.8.174
Funding
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  • Fundamental Research Funds for the Central Universities(2572023CT15)
  • National Natural Science Foundation of China(52107001)
Appendix
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Year 2025 volume 23 Issue 8
61
6
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.8.174
  • Receive Date：2024-02-04
  • Online Date：2026-10-26
  • Published：2025-12-30
Article Data
Affiliations
History
  • Received：2024-02-04
  • Revised：2024-03-14
  • Accepted：2024-03-24
Funding
Fundamental Research Funds for the Central Universities(2572023CT15)
National Natural Science Foundation of China(52107001)
Affiliations
    College of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China
References
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