Journal of Northeastern University(Natural Science) ›› 2022, Vol. 43 ›› Issue (10): 1383-1390.DOI: 10.12068/j.issn.1005-3026.2022.10.003

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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
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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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