Stochastic Evolutionary Game Analysis of Group Strategies for Electric Vehicles in Vehicle Network Interaction
[Objective]To analyze the influencing factors and patterns of electric vehicle group charging and dis-charging decisions in the process of vehicle network interaction.[Method]In order to analyze the influencing factors and laws of electric vehicle group charging and discharging decisions in the process of vehicle network interaction,a decision evolution game model among different individuals within the electric vehicle group was established and the replication dynamic equation was improved by introducing user preference influence factors,so as to analyze the process of the evolution of electric vehicle group strategies the impact of various factors on the interaction strategies of electric vehicle groups.[Result]Simulation shows that when considering the influ-ence 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 increas-es by 60%.[Conclusion]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.
car network interactioncharging and discharging strategyevolutionary gameimproved replication of dynamic equations
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