Electric vehicle charging equipment uses power electronics, which creates power quality disturbances to the power grid. Traditional methods such as Fourier transform are difficult to accurately separate dynamic voltage disturbances, so the article presents one way to analyze the characteristics of voltage disturbances in electric vehicle charging equipment based on Multiple Matching Synchrosqueezing Transform (MMST). Firstly, the voltage signal generated by the electric vehicle charging equipment is decomposed using MMST to obtain a set of intrinsic modal functions (IMFs). Then, the Hilbert Transform (HT) is applied to calculate the instantaneous amplitude and instantaneous frequency of each IMF component. Through this process, feature extraction and detection of voltage disturbance signals of electric vehicle charging devices are achieved. The practical effectiveness of this method is verified through simulation and experiment.