The increasing number of electric vehicles（EVs）makes the uncertainty in the microgrid continue to increase. Aiming at the uncertainty of the arrival time of aggregated EVs and the remaining power at the arrival time, a two-layer model predictive control strategy is established to perform optimal charging and discharging management for EVs connected to the microgrid to minimize the power exchange between the grid and the microgrid. In the optimization of the charging and discharging of the upper-level aggregated electric vehicles, the charging demand of the lower-level individual electric vehicles is considered. According to the urgency of the user’s charging behavior, EVs that have arrived are divided into EVs participating in optimization and EVs without participating in optimization. The simulation results show that the proposed method has better performance in the charge and discharge management of aggregated EVs. In addition, it is closer to the reality and easier to meet the needs of residents.