With the large-scale growth of electric vehicles, the fluctuation of electric vehicle charging demand will bring great challenges to the safe and economic operation of power grid. However, the travel uncertainty and the difference in risk appetite of electric vehicle users make users have bounded rationality, which leads to the uncertainty of charging demand of electric vehicles. Based on the risk multi-attribute decision-making method of prospect theory, the travel route selection behavior of electric vehicle users under bounded rationality is studied. Three uncertain influencing factors for multi-attribute decision-making of electric vehicle travel are considered, analyzes the three types of interval number, the number of clear, the triangular fuzzy number attribute reference points and risk appetite coefficient correlation, establishes the electric vehicle travel decision-making model of risk type multi-attribute of variable coefficient, and the travel decision-making plan is formed based on the path synthesis prospect value. Based on the continuous average method, the traffic flow of electric vehicles in the region is dynamically allocated and updated, and the electric vehicle charging demand model based on the comprehensive prospect value is established to analyze the influence of the limited rational behavior of electric vehicle users on the daily charging demand of electric vehicles. It is verified in Nguyen-Dupius network.
