非侵入式电力负荷监测（non-intrusive load monitoring, NILM）技术是智能电网中实现居民电力负荷用电细节监测的重要手段。电动汽车的发展在给环境带去积极效应的同时，也给电网带来了不利影响，并且存在火灾隐患，电动汽车充电负荷监测有着重要意义。文章提出了基于带参考信号的独立成分分析（independent component analysis with reference, ICA-R）的电动汽车充电负荷提取方法，并应用信号重构对电动汽车充电负荷的幅值和时间进行估计，使用Pecan Street数据库中的数据进行实验，实验证明文中所提方法具有较高的精确度。
英文摘要:
Non-intrusive load monitoring (NILM) technology is an important means to realize the detailed monitoring of residential power load in a smart grid. The development of electric vehicles not only brings positive effects to the environment but also brings adverse effects to the grid and potential fire hazards. Therefore, it is of great significance to monitor the charging load of electric vehicles. In this paper, an electric vehicle charging load extraction method is proposed based on independent component analysis with reference (ICA-R), and signal reconstruction is applied to estimate the amplitude and charging period of the electric vehicle charging. Experiments are carried out using the data in the Pecan Street database, and the experiments prove that the proposed method has high accuracy.