东北大学学报(自然科学版) ›› 2022, Vol. 43 ›› Issue (10): 1383-1390.DOI: 10.12068/j.issn.1005-3026.2022.10.003

• 信息与控制 • 上一篇    下一篇

电动汽车弹性充电策略的研究

孙磊, 陈彦峰, 常爽爽, 邓庆绪   

  1. (东北大学 计算机科学与工程学院, 辽宁 沈阳110169)
  • 修回日期:2021-10-11 接受日期:2021-10-11 发布日期:2022-11-07
  • 通讯作者: 孙磊
  • 作者简介:孙磊(1986-),男,河南南阳人,东北大学博士研究生; 邓庆绪(1970-),男,河南南阳人,东北大学教授,博士生导师.
  • 基金资助:
    兴辽英才计划项目(XLYC1902017); NSFC-辽宁联合基金重点资助项目(U1908212).

Research on Elastic Charging Strategy of Electric Vehicles

SUN Lei, CHEN Yan-feng, CHANG Shuang-shuang, DENG Qing-xu   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Revised:2021-10-11 Accepted:2021-10-11 Published:2022-11-07
  • Contact: DENG Qing-xu
  • About author:-
  • Supported by:
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摘要: 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.

关键词: 电动汽车;充电站;里程焦虑;弹性充电;充电调度策略

Abstract: 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.

Key words: electric vehicle(EV); charging station; range anxiety; elastic charging; charging scheduling strategy

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