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作 者:岳同奇 YUE Tongqi(State Grid Jiangsu Electric Vehicle Service Co.,Ltd.,Nanjing 210019,China)
机构地区:[1]国网江苏电动汽车服务有限公司,江苏南京210019
出 处:《通信电源技术》2024年第22期112-114,共3页Telecom Power Technology
摘 要:常规的车辆到电网(Vehicle-to-Grid,V2G)充电桩充放电状态在线监测方法主要使用Q-Learning学习法,易受全局收敛性变化影响,导致部分状态监测异常。因此,开展基于5G的V2G充电桩充放电状态在线监测方法研究。利用5G构建V2G充电桩充放电数据采集架构,设计V2G充电桩充放电状态在线监测算法,实现V2G充电桩充放电状态在线监测。实验结果表明,设计的V2G充电桩充放电状态在线监测方法监测值与实际值相对一致,可为提升充电桩使用安全性、降低充放电损耗做出一定贡献。The conventional online monitoring method for the charging and discharging status of Vehicle-to-Grid(V2G)charging piles mainly uses Q-Learning learning method,which is easily affected by global convergence changes,resulting in some abnormal state monitoring.Therefore,this research focuses on the online monitoring method of V2G charging pile charging and discharging status under 5G.The charging and discharging data collection architecture of V2G charging pile is constructed by 5G,and the online monitoring algorithm of charging and discharging state of V2G charging pile is designed to realize online monitoring of charging and discharging state of V2G charging pile.The experimental results show that the monitoring value of the online monitoring method of V2G charging pile charging and discharging status is relatively consistent with the actual value,which can make a contribution to improving the safety of the charging pile and reducing the charging and discharging loss.
关 键 词:5G 车辆到电网(V2G)充电桩 充放电状态
分 类 号:TN929.5[电子电信—通信与信息系统]
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