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基于原边检测的MCR-WPT系统参数辨识方法

舒中宾 黎伟杰 李中启

湖南工业大学学报2026,Vol.40Issue(3):33-40,8.
湖南工业大学学报2026,Vol.40Issue(3):33-40,8.DOI:10.20271/j.cnki.1673-9833.2026.3005

基于原边检测的MCR-WPT系统参数辨识方法

Parameter Identification Method for MCR-WPT Systems Based on Primary Side Detection

舒中宾 1黎伟杰 1李中启1

作者信息

  • 1. 湖南工业大学 交通与电气工程学院,湖南 株洲 412007
  • 折叠

摘要

Abstract

In view of the complex and low identification accuracy of load and mutual inductance identification methods in magnetically coupled wireless power transfer(MCR-WPT)systems,a method has been proposed for simultaneous identification of load and mutual inductance in MCR-WPT systems.Firstly,with the influence of high-order harmonics in the system taken into consideration,a steady-state circuit model of the LCC-S topology system is established and verified,thus obtaining mathematical descriptions of the output current,mutual inductance,and load of the primary inverter.Secondly,an improved particle swarm optimization algorithm is introduced so as to construct a fitness function based on the error between the theoretical and actual values of the output current of the primary inverter,with the parameter identification of the system transformed into an issue of optimization,thereby obtaining the identification values of the system load and mutual inductance.Finally,the simulation results show that the load and mutual inductance errors identified by the proposed method are kept below 1.20%,which is very close to the actual values,verifying the feasibility of the proposed method.This proposed approach is applicable to both resonant and non-resonant MCR-WPT systems without compensation network constraints,thus enabling precise parameter identification without primary-secondary communication or auxiliary circuits.

关键词

无线电能传输/改进粒子群算法/负载辨识/互感辨识

Key words

wireless power transfer/improved particle swarm optimization/load identification/mutual inductance identification

分类

信息技术与安全科学

引用本文复制引用

舒中宾,黎伟杰,李中启..基于原边检测的MCR-WPT系统参数辨识方法[J].湖南工业大学学报,2026,40(3):33-40,8.

基金项目

国家重点研发计划基金资助项目(2022YFB3403200) (2022YFB3403200)

湖南工业大学学报

1673-9833

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