Abstract：The spatiotemporal behavior of electric vehicles (EVs) includes spatiotemporal transfer behavior and charging behavior. The accurate modeling of the spatiotemporal behavior of EVs has become the key to the effective interaction between large-scale EVs and power grid. The idea of activity-based analysis to understand the travel behavior as the activity derived behavior was applied in the paper, and the transfer relationship between different activity chains was established. Based on the cumulative prospect theory, the bounded rationality psychology of users in the choice of travel mode, travel path and departure time was described. Considering the dynamic characteristics of traffic network and the charging characteristics of EVs, the spatiotemporal distribution characteristics of EVs on each activity chain were studied. Finally, the Dupius network, a typical traffic network, was used to study the spatiotemporal transfer and charging behavior characteristics of EVs with different users’psychologies, proportions of EVs and service capabilities of charging stations. The simulation results show that the proposed method can more reasonably describe the users' choice psychology and the spatiotemporal behavior, and it is found that the proportion of EVs and the service capacity of charging station have great effect on them.
吴赋章, 杨军, 林洋佳, 徐箭, 孙元章. 考虑用户有限理性的电动汽车时空行为特性[J]. 电工技术学报, 2020, 35(7): 1563-1574.
Wu Fuzhang, Yang Jun, Lin Yangjia, Xu Jian, Sun Yuanzhang. Research on Spatiotemporal Behavior of Electric Vehicles Considering the Users’Bounded Rationality. Transactions of China Electrotechnical Society, 2020, 35(7): 1563-1574.
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2020, Vol. 35 
