华东交通大学学报2024，Vol.41Issue(3)：74-81,8.
电动汽车群体互动策略的随机演化博弈分析
Stochastic Evolutionary Game Analysis of Group Strategies for Electric Vehicles in Vehicle Network Interaction
摘要
Abstract
[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.关键词
车网互动/充放电策略/演化博弈/改进复制动态方程Key words
car network interaction/charging and discharging strategy/evolutionary game/improved replication of dynamic equations分类
交通工程引用本文复制引用
程宏波,何洪,李云枭,程耀昆,朱伟铭..电动汽车群体互动策略的随机演化博弈分析[J].华东交通大学学报,2024,41(3):74-81,8.基金项目
国家自然科学基金项目(51967007) （51967007）
江西省主要学科学术和技术带头人培养项目(20232BCJ22004) （20232BCJ22004）
江西省重点研发项目(20223BBE51013) （20223BBE51013）
