Mutual inductance and load identification of dual excitation WPT system

Xin Dai, Jinsheng Hu, Min Sun, Miao He

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The dual excitation WPT system has a more complex system structure and system parameters than the single excitation WPT system. In this paper, based on the LCC-S topology, a steady-state circuit model of the system is established, the mathematical relationship between system circuit parameters and system identification parameters is obtained. Identification of system mutual inductance and load parameters is achieved by using Particle Swarm Optimization. Finally, the feasibility and effectiveness of parameter identification of the dual excitation system are verified by simulation and experimental results.

Original languageEnglish
Title of host publication2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control, METMS 2022
EditorsYa Liu
PublisherSPIE
ISBN (Electronic)9781510654778
DOIs
StatePublished - 2022
Event2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control, METMS 2022 - Guilin, China
Duration: Jan 7 2022Jan 9 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12244
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control, METMS 2022
Country/TerritoryChina
CityGuilin
Period01/7/2201/9/22

Keywords

  • Particle Swarm Optimization
  • Wireless power transfer
  • dual excitation system
  • load identification
  • mutual inductance identification

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