The traditional optimal scheduling method has poor applicability in optimal scheduling of electric vehicles (EVs) for charging route because many parameter variables are uncertain. In view of the problem, uncertain optimization is applied to optimal scheduling of the EVs for charging route. Optimal scheduling model for charging route of the EVs based on random expected value is built. For the disadvantage that the particle swarm optimization algorithm is easy to fall into local optimization and the convergence speed is slow, the simulated annealing algorithm is introduced into the hybrid intelligent algorithm to solve the model. The comparison experiments show that the hybrid intelligent algorithm can effectively reduce the driving distance which the owners reach the charging station, waiting time and charging time at the charging station.