Self-Oscillating IPT System Based on Phase Tracking Loop

The coupling in an inductive power transfer (IPT) system make frequency tracking and power control difficult. This article presents an IPT system using a self-oscillation approach to solve this problem. In this system, the working period is divided into two stages: independent oscillating stage and power injecting stage. Based on these two stages, we established a closed loop to analyze the phase of the system. This loop is composed of three units to achieve phase tracking, power regulating and self-oscillating respectively. Self-oscillation will be realized in an IPT system by this loop. After the experiment verification, the implementation method for the system demonstrates effectiveness by tracking and compensating for system changes in a single cycle effectively.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/icecer62944.2024.10920346
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Self-Oscillating IPT System Based on Phase Tracking Loop

Mingjie Guan, Qingyuan Zhu, Junfeng Feng
Iterative Learning Control Systems
article

Self-Oscillating IPT System Based on Phase Tracking Loop

Mingjie Guan, Qingyuan Zhu, Junfeng Feng
article en

Abstract

The coupling in an inductive power transfer (IPT) system make frequency tracking and power control difficult. This article presents an IPT system using a self-oscillation approach to solve this problem. In this system, the working period is divided into two stages: independent oscillating stage and power injecting stage. Based on these two stages, we established a closed loop to analyze the phase of the system. This loop is composed of three units to achieve phase tracking, power regulating and self-oscillating respectively. Self-oscillation will be realized in an IPT system by this loop. After the experiment verification, the implementation method for the system demonstrates effectiveness by tracking and compensating for system changes in a single cycle effectively.

Xiamen University (CN), Xiamen University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province
Affordable and clean energy
Openalex Percentile: Top 64%
Iterative Learning Control Systems
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