The development of electric vehicles are rapidly, at the same time, the demand for charging are also increasing, so it is of great practical significance to study the charging behavior of electric vehicles(EVs). Based on the data of private electric cars in Beijing, this paper has extracted trip chains of EVs, considering a variety of potential influencing factors, and used different numbers to represent different charging behavior, then established two models: a kind of binomial logistic model (0-1/0-2 model) for single charging behavior and a kind of multiple logistic model(0-1-2 model) for non-single charging behavior. Comparing the two models, the results showed that the former model was better. This research will help to enrich researches on charging prediction considering multiple charging options, and also be good for EVs’ drivers to make better charging decisions.

CICTP