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基于IPSO-BP算法的WPT系统结构参数优化方法

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李振杰中国电源学会会员 , 白玉鸿 , 刘一琦 , 班明飞

电源学报 | 无线电能传输 2025,23(8): 174-181

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电源学报 |无线电能传输 2025 , 23 (8) : 174 -181

基于IPSO-BP算法的WPT系统结构参数优化方法

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李振杰（1988—　），男，中国电源学会会员，博士，副教授。研究方向：多场景无线电能传输技术及其应用等。E-mail：lizhenjie0725@163.com。

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李振杰（1988—　），男，中国电源学会会员，博士，副教授。研究方向：多场景无线电能传输技术及其应用等。E-mail：lizhenjie0725@163.com。

白玉鸿（1998—　），男，硕士研究生。研究方向：无线充电技术。E-mail：2022111829@nefu.edu.cn。

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白玉鸿（1998—　），男，硕士研究生。研究方向：无线充电技术。E-mail：2022111829@nefu.edu.cn。

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班明飞（1988—　），男，博士，副教授。研究方向：电动汽车技术，微电网技术等。E-mail：banmingfei@nefu.edu.cn。

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班明飞（1988—　），男，博士，副教授。研究方向：电动汽车技术，微电网技术等。E-mail：banmingfei@nefu.edu.cn。

李振杰中国电源学会会员, 白玉鸿, 刘一琦, 班明飞

作者信息

东北林业大学计算机与控制工程学院，哈尔滨　150040

通讯作者:

刘一琦（1984—　），男，通信作者，博士，教授。研究方向：电力系统。E-mail：ee_617@nefu.edu.cn。

作者简介:

李振杰（1988—　），男，中国电源学会会员，博士，副教授。研究方向：多场景无线电能传输技术及其应用等。E-mail：lizhenjie0725@163.com。

白玉鸿（1998—　），男，硕士研究生。研究方向：无线充电技术。E-mail：2022111829@nefu.edu.cn。

班明飞（1988—　），男，博士，副教授。研究方向：电动汽车技术，微电网技术等。E-mail：banmingfei@nefu.edu.cn。

Optimization Method for Structural Parameters of WPT System Based on IPSO-BP Algorithm

Zhenjie LI Member, CPSS, Yuhong BAI, Yiqi LIU, Mingfei BAN

Affiliations

College of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China

出版时间: 2025-12-30 doi: 10.13234/j.issn.2095-2805.2025.8.174

文章导航

摘要

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以提高无线电能传输WPT（wireless power transfer）系统的传输效率为目标，对WPT系统的结构参数进行优化。针对WPT系统结构参数设计领域内的传统优化方法效率低、全面性差的问题，建立SS型WPT系统的参数优化模型，确定优化参数。在此基础上，提出1种综合了正交试验、有限元仿真及改进的粒子群优化-反向传播神经网络算法的WPT系统结构参数优化方法。实验结果表明，预测结果与实验结果间的平均误差值为4.3%，该优化方法合理可行，对WPT系统的结构参数优化具有参考意义。

关键词

无线电能传输 / 粒子群优化算法 / 神经网络 / 结构参数优化

Abstract

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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.

Key words

Wireless power transfer (WPT) / particle swarm optimization algorithm / neural network / structural parameter optimization

引用本文

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

基金

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中央高校基本科研业务费专项资金资助项目(2572023CT15)
国家自然科学基金资助项目(52107001)

参考文献

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2025年第23卷第8期

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文章信息

doi: 10.13234/j.issn.2095-2805.2025.8.174

接收时间：2024-02-04
首发时间：2026-10-26
出版时间：2025-12-30

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出版历史

收稿日期：2024-02-04
修回日期：2024-03-14
录用日期：2024-03-24

基金

Fundamental Research Funds for the Central Universities(2572023CT15)

中央高校基本科研业务费专项资金资助项目(2572023CT15)

National Natural Science Foundation of China(52107001)

国家自然科学基金资助项目(52107001)

作者信息

东北林业大学计算机与控制工程学院，哈尔滨　150040

通讯作者:

刘一琦（1984—　），男，通信作者，博士，教授。研究方向：电力系统。E-mail：ee_617@nefu.edu.cn。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2025.8.174

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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