A Novel Harmonic Detection Algorithm for Electric Vehicle with Charging Piles

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI:10.1109/DDCLS.2018.8516082

Yong-long Peng, Jianghao Huang, Yabin Li, Peizhe Liu, Jiuhui Cao

{"title":"A Novel Harmonic Detection Algorithm for Electric Vehicle with Charging Piles","authors":"Yong-long Peng, Jianghao Huang, Yabin Li, Peizhe Liu, Jiuhui Cao","doi":"10.1109/DDCLS.2018.8516082","DOIUrl":null,"url":null,"abstract":"With the rapid development of electric vehicle, the problems of power quality on charging station have attracted much attention. Due to some traits of the charging station, the harmonic current changes gradually with time. What’s more, the traditional harmonic detection method based on ip−iq algorithm is influenced by the low-pass filter, resulting in the detecting and starting speed are relatively slow, which cannot satisfy the requests of charging station harmonic suppression. On the basis of analyzing the charging generator model based on the six-pulse rectifier, the charging station model of the charging generator based on the six-pulse rectification is established. A novel harmonic current detection algorithm based on adaptive filter of variable step size LMS / LMF algorithm is proposed and its theory is analyzed in detail. Simulation and experiment results show that the improved harmonic detection algorithm has variously improved in terms of the tracking speed and starting speed, which achieves desired effects.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"19 1","pages":"836-840"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDCLS.2018.8516082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

With the rapid development of electric vehicle, the problems of power quality on charging station have attracted much attention. Due to some traits of the charging station, the harmonic current changes gradually with time. What’s more, the traditional harmonic detection method based on ip−iq algorithm is influenced by the low-pass filter, resulting in the detecting and starting speed are relatively slow, which cannot satisfy the requests of charging station harmonic suppression. On the basis of analyzing the charging generator model based on the six-pulse rectifier, the charging station model of the charging generator based on the six-pulse rectification is established. A novel harmonic current detection algorithm based on adaptive filter of variable step size LMS / LMF algorithm is proposed and its theory is analyzed in detail. Simulation and experiment results show that the improved harmonic detection algorithm has variously improved in terms of the tracking speed and starting speed, which achieves desired effects.

查看原文本刊更多论文

一种新型充电桩电动汽车谐波检测算法

随着电动汽车的快速发展，充电站的电能质量问题备受关注。由于充电站自身的一些特性，谐波电流会随着时间的推移而逐渐变化。此外，基于ip−iq算法的传统谐波检测方法受低通滤波器的影响，导致检测和启动速度相对较慢，无法满足充电站谐波抑制的要求。在分析基于六脉冲整流的充电发电机模型的基础上，建立了基于六脉冲整流的充电发电机充电站模型。提出了一种基于变步长自适应滤波的谐波电流检测新算法LMS / LMF算法，并对其原理进行了详细分析。仿真和实验结果表明，改进后的谐波检测算法在跟踪速度和启动速度上都有不同程度的提高，达到了预期的效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)

自引率

0.00%

发文量