The electric vehicle (EV) charging load is significantly affected by meteorological factors and shows corresponding characteristics in different regions. A regional EV charging load modeling method considering meteorological factors is proposed to ascertain EV charging demand more accurately. First, a correlation model of on-board air conditioning power consumption and battery capacity with temperature is established to analyze the charging demand of EV under different meteorological conditions. Secondly, a spatial and temporal distribution model framework of regional EV charging load under suitable meteorological conditions is established. The influence of meteorological factors on EV charging demand is introduced, and a regional EV charging load modeling method is proposed considering meteorological factors. This describes the relationship between EV charging load and meteorological changes. Finally, a simulation is carried out based on the typical daily meteorological data of Shanghai. The results show that the EV charging load is significantly affected by meteorological factors, and the proposed modeling method can effectively reflect the regional EV charging load changes under different meteorological conditions. This work is supported by the National Natural Science Foundation of China (No. 51807168).