Abstract
This paper designs a telematics service capable of providing electric vehicles with a reservation-based charging mechanism, aiming at improving acceptance ratio. By the telematics network, each vehicle retrieves the current reservation status of charging stations of interest and then sends a reservation request specifying its requirement on charging amount and time constraint. Receiving the request, the charging station checks if it can meet the requirement of the new request without violating the constraints of already admitted requests. In this admission test, the charging scheduler, which may work in the charging station or a remote data center, implements a genetic algorithm to respond promptly to the fast moving vehicle. The performance measurement result, obtained from a prototype implementation, shows that the proposed scheme can significantly improve the acceptance ratio for all range of the number of tasks and permissible peak load, compared with a conventional scheduling strategy.
This research was supported by the MKE (The Ministry of Knowledge Economy) Korea, under IT/SW Creative research program supervised by the NIPA (National IT Industry Promotion Agency) (NIPA-2011-(C1820-1101-0002)).
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Lee, J., Park, GL., Kim, HJ. (2011). Reservation-Based Charging Service for Electric Vehicles. In: Xiang, Y., Cuzzocrea, A., Hobbs, M., Zhou, W. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2011. Lecture Notes in Computer Science, vol 7017. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24669-2_18
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DOI: https://doi.org/10.1007/978-3-642-24669-2_18
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