Intelligent Sensing Method of Electric Vehicle Charging Based on Big Data of Charging Facilities

Abstract

At present, the development of electric vehicles will cause the impact of power grid operation and vehicle operation scheduling difficulties. Aiming at this problem, this paper proposes an intelligent charging scheduling method based on charging path planning to solve the charging scheduling problem of electric vehicles. This paper analyzes the operation conditions of power grid from the perspective of electric vehicle charging demand, and proposes a method to optimize the charging path from the aspects of electric vehicle, traffic network, charging station and distribution network. In this method, the multi-objective optimization function and constraints are established to solve the problem, and the optimal path planning is obtained. The simulation results show that the proposed method can effectively relieve the charging scheduling pressure.