The charging navigation of electric vehicle is convenient for users to choose charging station reasonably, reduce their own time cost and economic cost, and alleviate the load pressure of distribution network. Based on the time-of-use price of power grid, this paper considers that the choice of charging path of electric vehicle is closely related to the driving behavior of the vehicle owner, and models the load equipment classification of electric vehicle by means of classification. According to the importance of different equipment types and the actual working condition of the electric vehicle and road terrain factors, the optimal travel path is analyzed by using genetic algorithm, and a charging navigation strategy is proposed to guide the user's driving behavior with the aim of the optimal sum of time cost and economic cost. In the 20kmtimes10km region with three charging stations, the feasibility and effectiveness of the proposed navigation strategy are verified by comparing the simulation results of three different charging navigation strategies.