电力建设2024，Vol.45Issue(8)：140-148,9.DOI:10.12204/j.issn.1000-7229.2024.08.013
基于递推阻尼最小二乘法的充电桩计量失准在线检测方法
Online Detection of Charging Pile Misalignment Based on Recursive Damped Least Squares Method
摘要
Abstract
The holding capacity of new energy vehicles has increased substantially,leading to a rapid expansion in the number and coverage of supporting charging facilities.During charging,metering inaccuracies may occur because of aging equipment or human factors,and the current method of manual periodic inspection of each station is costly and inefficient.To address this issue,this study utilizes the principles of energy conservation and topological relationships to analyze the operational modes of charging stations.Considering factors such as metering errors,line and fixed losses,this study distinguishes between AC and DC charging stations,establishing error estimation models for each station.Subsequently,a solution method based on recursive-damping least squares is proposed.The algorithm achieves real-time estimation of error coefficients for charging gun tables,enabling the online detection of metering inaccuracies in charging stations.Finally,the effectiveness and superiority of the proposed method are validated using both simulations and real-world data.This study provides a theoretical framework and a practical solution for addressing metering issues in electric vehicle charging stations.关键词
充电桩远程在线检测/失准检测/递推阻尼最小二乘/深度学习Key words
charging pile remote on-line detection/misalignment detection/recursive damped least squares/deep learning分类
信息技术与安全科学引用本文复制引用
焦东翔,王亚超,韩迪,李学超,袁胜利,党兆帅,杨挺..基于递推阻尼最小二乘法的充电桩计量失准在线检测方法[J].电力建设,2024,45(8):140-148,9.基金项目
This work is supported by the Science and Technology Project of State grid Jibei Electric Power Co.,Ltd.(No.520185220006). 国网冀北电力有限公司科技项目"电动汽车非车载充电机智能化现场检定关键技术研究"(520185220006) （No.520185220006）
