电动汽车弹性充电策略的研究

Research on Elastic Charging Strategy of Electric Vehicles

为了缓解电动汽车里程焦虑问题,降低因充电时间过长对日常使用的影响,对家用电动汽车的充电策略进行了研究.针对家用汽车使用场景的离散性,提出弹性充电的方法,利用使用间隙规划充电方案,降低对行程的延误.并提出选择充电站和充电量的最优算法,根据电动汽车自身电池特性和周边充电站的资源竞争情况计算最优的充电决策.通过对真实车型数据和用车场景的模拟,验证了算法的有效性.这表明弹性充电策略能够大幅度节省行程时间,消除用户的里程焦虑.

In order to alleviate the range anxiety of electric vehicles(EVs)and reduce the impact of long charging time on daily use,the charging strategy of private EVs is studied.Aiming at the discreteness of private EV usage scenarios,an elastic charging method is proposed.It plans charging scheme to reduce delays to trips by taking advantage of usage gaps.An optimal algorithm for selecting the charging station and capacity is proposed,which makes optimal charging decisions according to the characteristics of the EV battery and the resource competition of surrounding charging stations.The effectiveness of the algorithm is verified by simulating real EV data and usage scenarios.It indicates that the elastic charging strategy can significantly save travel time and eliminate range anxiety for EV users.