Insulation Monitoring of Dynamic Wireless Charging Network Based on BP Neural Network

Author:

Wen FengORCID,Pei Wenjie,Li Qiang,Chu Zhoujian,Zhao Wenhan,Wu Shuqi,Zhang Xiang,Han Chen

Abstract

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.

Funder

China Postdoctoral Science Foundation

Basic Research Program of Jiangsu Province

Fundamental Research Funds for the Central Universities

Jiangsu Planned Projects for Postdoctoral Research Funds

Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd.

Publisher

MDPI AG

Subject

Automotive Engineering

Reference14 articles.

1. Research review and prospect of intelligent dynamic wireless charging system for electric vehicles;Su;Chin. J. Intell. Sci. Technol.,2020

2. Study on insulation monitoring of low voltage it system based on injection signal;Wang;Electrotech. Electric.,2012

3. Analysis on online supervision system of high voltage cable insulation condition of coal mine;Li;Mech. Manag. Dev.,2016

4. Design of insulation monitoring device based on improved single frequency method;Yu;China Meas. Test.,2020

5. Design of insulation monitoring device based on improved dual frequency injection method;Hu;Instrum. Tech. Sens.,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3