Abstract: A large number of electric vehicles (EVs) connected to the grid will affect the planning and operation of the power system. Hence it is of great significance to guide the charging behavior of electric vehicles in an orderly manner. Regarding this kind of problem, an electric vehicle intelligent charging navigation strategy based on real-time electricity price is proposed, where the PSO-GA algorithm is used to solve the optimal scheme. The motivation is to guide the EV charging toward an orderly way by virtue of the real-time electricity price mechanism. Furthermore, according to the different requirements of users, three charging navigation strategies are designed for different objectives, i.e., the minimization of the user's time cost, expense cost or overall cost respectively. Finally, the IEEE-33 bus system model is established in Matlab. By utilizing the Monte Carlo method, the road condition and EV space-time distribution information is simulated in a real traffic area on the map so as to verify the effectiveness of the method. The simulation results show that the method can reduce the travel cost of EV users and improve the node voltage quality of the power distribution system.