电动汽车无线充电过程周边电磁环境安全评估研究

Safety evaluation of electromagnetic environment around electricvehicle during wireless charging

为提高网络电动汽车无线充电过程周边电磁场检测和安全评估能力,进行电磁信号检测算法设计,提出一种基于二阶匹配滤波和谱特征提取的电动汽车无线充电过程周边电磁信号检测和安全评估方法。构建电动汽车无线充电的周边电磁信号冲激响应模型,采用小信号区域特征分解方法进行电磁信号盲源分离,结合时频分解方法进行电磁信号特征分解,针对信号存在的色噪声干扰采用二阶匹配滤波进行信号提纯,采用谱特征分析和量化提取方法,实现对电动汽车无线充电过程周边电磁信号的准确检测,根据信号的分布强度和波束指向性,实现对周边电磁环境的安全评估。仿真结果表明,采用该方法进行电动汽车无线充电过程周边电磁环境评估的准确性较高,电磁信号检测的抗干扰能力较强,保障了电动汽车充电的环境安全。

In order to improve the capability of electromagnetic field detection and safety evaluation around the wireless charging process of network electric vehicles,the electromagnetic signal detection algorithm is designed. A method of detecting and evaluating the electromagnetic signals around the wireless charging process of electric vehicles based on second-order matched filtering and spectral feature extraction is proposed. The impulse response model of the peripheral electromagnetic signal of electric vehicle is constructed. The small signal region characteristic decomposition method is used to separate the electromagnetic signal blind source,and the time-frequency decomposition method is used to decompose the electromagnetic signal characteristic. The second order matched filter is used to purify the color noise interference,and the spectrum characteristic analysis and quantification extraction method are used to detect the electromagnetic signal around the electric vehicle wireless charging process accurately. According to the distribution intensity and beam directivity of the signal,the safety evaluation of the surrounding electromagnetic environment is realized. The simulation results show that the proposed method has high accuracy and strong anti-interference ability in the electromagnetic environment assessment around the electric vehicle’s wireless charging process,which ensures the environmental safety of the electric vehicle’s charging.