The load of electric vehicles has characteristics such as mobility and randomness. The disorderly connection of a large number of electric vehicles will bring huge pressure to the operation of the power grid. Reasonable charging and discharging control strategies for electric vehicles are particularly important for the power grid. To analyze the influencing factors and laws of electric vehicle group charging and discharging decisions in the process of vehicle network interaction, established a decision evolution game model among different individuals within the electric vehicle group, introduced user preference influence factors to improve the replication dynamic equation, analyzed the process of the evolution of electric vehicle group strategies, and analyzed the impact of various factors on the interaction strategies of electric vehicle groups. The simulation results indicate that when considering the influence of user preferences, the proportion of electric vehicle users who choose charging strategies increases from 65% to 75%. When the sensitivity of user economic benefits increases from 0 to 2, the proportion of charging and discharging users decreases by 50% and 10% respectively, while the proportion of discharging users increases by 60%. The sensitivity of user preferences and economic benefits will increase the proportion of electric vehicle users participating in vehicle network interaction, while external environmental disturbances will not affect the final selection results of electric vehicle users. The established stochastic evolutionary game model can analyze the strategy evolution process within the electric vehicle group, providing a new method for analyzing the behavioral characteristics of the electric vehicle group during vehicle network interaction.