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Published October 2019 | public
Book Section - Chapter

ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research

Abstract

Smart electric vehicle charging has recently garnered significant attention in the research community due to need to charge vast numbers of electric vehicles (EVs) economically, as well as the potential of providing grid services using EVs. However, research into practical online charging algorithms has been hampered by the lack of a widely available, realistic simulation environment in which to evaluate algorithms and test assumptions. To meet this need, we have developed ACN-Sim, a data-driven, open-source simulator based on our experience building and operating real-world charging systems. ACN-Sim provides a modular, extensible architecture which models the complexity of real charging systems, including battery charging behavior and unbalanced three-phase infrastructure. In addition, ACN-Sim integrates with a broader ecosystem of research tools for EV charging, including ACN-Data, an open dataset of EV charging sessions to provide realistic simulation scenarios, and ACN-Live, a framework for field-testing charging algorithms.

Additional Information

© 2019 IEEE. This material is based upon work supported by NSF through grants CCF 1637598, ECCS 1619352, and CPS including grant 1739355, as well fellowship support through the NSF Graduate Research Fellowship Program 1745301 and Resnick Sustainability Institute. We would like to thank the team at PowerFlex, especially Cheng Jin, Ted Lee and George Lee, as well as Rand Lee, James Anderson, Umar Hashmi, and Jorn Reniers for providing data, expertise and ideas to this project.

Additional details

Created:
August 19, 2023
Modified:
October 18, 2023