Charging Load Prediction of Electric Private Vehicles Considering Travel Day Type and Traffic Conditions

Aiming at the influence of date types on the driving law of electric private vehicles, a charging load prediction method of electric private vehicles considering travel day types and traffic conditions was proposed. First, the travel destinations of electric private vehicles are divided into four categories and the travel habits of electric vehicles on working days and rest days are analyzed according to the private vehicle daily travel data collected by the US Department of Transportation in 2017. Secondly, a multiple linear regression model was established based on the driving time of electric private vehicles as the dependent variable. Finally, the charging load prediction of electric private vehicles is realized by combining the movement model of single electric private vehicles. The results show that the charging load of working area is most affected by date type, and the charging load of living area is least affected by date type. Moreover, traffic conditions have significant impact on the charging peaks of electric private vehicles and the charging peak time is greatly affected.