In order to prevent the impact of electric vehicles′charging uncertainty on the distribution network, a joint modeling method for charging demand considering large-scale and multi-type electric vehicle access is proposed based on dynamic traffic information. This paper starts from the characteristics of electric vehicles as forms of transportation, combining the driving characteristics of different types of electric vehicles with traffic information, and establishes the corresponding operation spatio-temporal model. Considering the two modes of fast charging and slow charging, this paper studies the charging behavior of various electric vehicles, in order to construct corresponding charging demand models. Combined with the user′s daily mileage, the basic operation cycle is proposed, and the Monte Carlo simulation method is used to calculate the distribution of the comprehensive charging demand of multiple types of electric vehicles under different working days. The simulation results verify the feasibility of the modeling method and show that the access of multiple types of electric vehicles will bring multiple peaks of power demand to the distribution network as a whole.