Insulation Monitoring of DynamicWireless Charging Network Based on BP Neural Network

被引：5

作者：

Wen, Feng ^{[1
]}

Pei, Wenjie ^{[1
]}

Li, Qiang ^{[1
]}

Chu, Zhoujian ^{[2
]}

Zhao, Wenhan ^{[2
]}

Wu, Shuqi ^{[1
]}

Zhang, Xiang ^{[1
]}

Han, Chen ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China

[2] State Grid Jiangsu Elect Power Co Ltd, Maintenance Branch Co, Nanjing 211102, Peoples R China

来源：

WORLD ELECTRIC VEHICLE JOURNAL | 2021年 / 12卷 / 03期

基金：

中国博士后科学基金;

关键词：

wireless power transfer (WPT); underground cable; insulation monitoring; neural network; signal injection;

D O I：

10.3390/wevj12030129

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The transmission cable and power conversion device need to be buried underground for dynamic wireless charging of an expressway, so cable insulation deterioration caused by aging and corrosion may occur. This paper presents an on-line insulation monitoring method based on BP neural network for dynamic wireless charging network. The sampling signal expression of the injection signal is derived, and the feasibility of this method is verified by experiments, which effectively overcomes the problem of large calculation error of insulation resistance when the cable capacitance to ground is large. The experimental results indicate that the error of the proposed method is less than 9%, which can meet the needs of insulation monitoring.

引用

页数：9