Socially optimal charging strategies for electric vehicles

Elena Yudovina, George Michailidis

Research output: Contribution to journalArticlepeer-review

42 Scopus citations


Electric vehicles represent a promising technology for reducing emissions and dependence on fossil fuels, and have started entering different automotive markets. In order to bolster their adoption by consumers and hence enhance their penetration rate, a charging station infrastructure needs to be deployed. This paper studies decentralized policies that assign electric vehicles to a network of charging stations with the goal to achieve little to no queueing. This objective is especially important for electric vehicles, whose charging times are fairly long. The social optimality of the proposed policies is established when each station is equipped with multiple charging slots. Further, convergence issues of the algorithm that achieves the optimal policy are examined. The results provide insight into the optimal location deployment of the charging infrastructure.

Original languageEnglish (US)
Article number6873288
Pages (from-to)837-842
Number of pages6
JournalIEEE Transactions on Automatic Control
Issue number3
StatePublished - Mar 1 2015

Bibliographical note

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© 1963-2012 IEEE.


  • Electric vehicles
  • queueing
  • scheduling algorithm


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