Prediction and optimization methods for electric vehicle charging schedules in the EDISON project

Andreas Aabrandt, Peter Bach Andersen, Anders Bro Pedersen, Shi You, Bjarne Poulsen, Niamh O'Connell, Jacob Østergaard

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Smart charging, where the charging of an electric vehicle battery is delayed or advanced in time based on energy costs, grid capacity or renewable contents, has a great potential for increasing the value of the electric vehicle to the owner, the grid and society as a whole. The Danish EDISON project has been launched to investigate various areas relevant to electric vehicle integration. As part of
EDISON an electric vehicle aggregator has been developed to demonstrate smart charging of electric vehicles. The emphasis of this paper is the mathematical methods on which the EDISON aggregator is based. This includes an analysis of the problem of EV driving prediction and charging optimization, a description of the mathematical models implemented and an evaluation of the accuracy of such models. Finally, additional optimization considerations as well as possible future extensions will be explored. This paper hopes to contribute to the field of EV integration by coupling optimized EV charging coordination with the EV utilization predictions on which the former heavily relies.
Original languageEnglish
Title of host publication2012 IEEE PES Innovative Smart Grid Technologies (ISGT)
Number of pages7
Publication date2012
ISBN (Print)9781457721588
Publication statusPublished - 2012
EventIEEE PES Conference on Innovative Smart Grid Technologies (ISGT) - Washington, D.C., United States
Duration: 16 Jan 201220 Jan 2012
Conference number: 3


ConferenceIEEE PES Conference on Innovative Smart Grid Technologies (ISGT)
CountryUnited States
CityWashington, D.C.

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