| Citation: | YU Haiyang, ZHANG Lu, REN Yilonget al. Influential factors analysis of electric vehicle charging behavior based on trip chain[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(9): 1732-1740. doi: 10.13700/j.bh.1001-5965.2018.0566(in Chinese)
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With the rapid development of electric vehicles, large-scale electric vehicle charging behavior will bring tremendous influence on the planning and operation of electric power systems. It is more and more urgent to study the charging behavior of electric vehicles and its influential factors, and predict the potential charging behavior in real time. Based on the historical data of private electric vehicles in Beijing, this paper introduces the concept of trip chain to comprehensively analyze the data of electric vehicle charging process and discharge process. This research considers the various potential influential factors on electric vehicles' charging behavior in the actual situation and determines the factors that significantly affect charging behavior through logistic regression analysis. Finally, the charging behavior forecasting model for electric vehicle is established based on the single and multiple significant influential factors. The results show that the model based on multiple significant influential factors has higher accuracy and better prediction effect in sunny days. This research will help optimize the charging behavior of electric vehicles, thus improving the charging efficiency of electric vehicles.
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