Based on the measured data, this paper analyzes the tracking data of multi type electric vehicles. Firstly, set conditions to preprocess the data, delete the abnormal data and use Lagrange interpolation to supplement some data; then, with the help of K-S test and J-B test, verify whether the electric vehicle cluster data conform to the regular distribution; then, Monte Carlo simulation is used to predict the charging load of electric vehicles, and the charging load distribution of multiple types of electric vehicles is formed. Finally, the daily electric load was used to analyze the impact of electric vehicle loads on the power grid. The results show that electric private cars and electric taxis have a large load dispatching potential, but the phenomenon of "peak plus peak" will occur under disorderly charging.
