电器与能效管理技术Issue(8)：25-33,9.DOI:10.16628/j.cnki.2095-8188.2025.08.004
一种电动自行车充电负荷波形特征提取及识别方法
A Waveform Feature Extraction and Recognition Method for Electric Bicycle Charging Load
赵杰 1张延平 1丁媛媛2
作者信息
- 1. 上海红檀智能科技有限公司,上海 201306
- 2. 中国石化销售股份有限公司河南郑州石油分公司,河南郑州 450000
- 折叠
摘要
Abstract
In order to realize the identification of the electric bicycle charging load on the user side,the load current on the user side is collected in real time through the Internet of Things(IoT)circuit breaker.The disturbance time point of the current curve is quickly identified.The influence of the periodic load is filtered out,and the basic characteristics of the disturbance current curve are extracted to form the absolute value increment curve.According to the formation criteria of the initial transient pulse peak,time limit width of the charging current curve and the pulse peak,time limit width and symmetry of the current waveform at the beginning of steady-state charging,combined with the change of power increment and harmonic increment before and after charging,the charging load of the electric bicycle is identified to alarm or trip the circuit breaker,so as to ensure that the charging load of the electric bicycle is forbidden in the charging area of the non-electric bicycle.Experiments show that the proposed method is simple and effective,and can be implemented locally through the IoT circuit breaker.关键词
电动自行车/物联网断路器/充电负载识别/绝对值增量Key words
electric bicycle/Internet of Things(IoT)circuit breaker/charging load identification/absolute value increment分类
信息技术与安全科学引用本文复制引用
赵杰,张延平,丁媛媛..一种电动自行车充电负荷波形特征提取及识别方法[J].电器与能效管理技术,2025,(8):25-33,9.
