Agent-based modeling of electric vehicles with time-of-use electricity rates

Spencer Aeschliman, Yan Zhou, Charles Macal & Zhi Zhou
In this study we design and simulate scenarios in which battery-electric vehicle (BEV) drivers respond to the implementation of time-of-use (TOU) pricing schemes in the Chicago area. The evolving BEV unmet charging demand pinpoints locations for the future development of charging infrastructure. The simulation is designed as an agent-based-model (ABM), and a behavioral heuristic is formulated for drivers to dictate charging behavior in response to changing charging prices. We find that, when drivers obey this...
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