Anticipatory coordination of electric vehicle allocation to fast charging infrastructure

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Abstract

The limited range of electric vehicles (EVs) in combination with the limited capacity of current fast charging infrastructure are both causes for a limited adoption of EVs. In order to reduce the general inconvenience that EV users experience when having to wait for available fast charging stations and to lessen the danger of damaging the infrastructure by overloading it, an efficient coordination strategy is needed. This paper proposes an anticipatory, decentralised coordination strategy for on-route charging of EVs during lengthy trips in a fast-charging infrastructure. This strategy is compared to a reference strategy that uses global real-time knowledge of charging station occupation. Simulation results using a realistic scenario with real-world traffic data demonstrate that the anticipatory strategy is able to reduce the waiting times for EV users by up to 50% while at the same time decreasing the peak loads of the electricity grid caused by charging EVs by 21%. © 2014 Springer International Publishing Switzerland.

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APA

Coninx, K., Claes, R., Vandael, S., Leemput, N., Holvoet, T., & Deconinck, G. (2014). Anticipatory coordination of electric vehicle allocation to fast charging infrastructure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8473 LNAI, pp. 74–85). Springer Verlag. https://doi.org/10.1007/978-3-319-07551-8_7

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