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

Spencer Aeschliman, Yan Zhou, Charles Macal, Zhi Zhou
2020 Zenodo  
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
more » ... find that, when drivers obey this heuristic, it generally results in lower rates of unmet charging demand for drivers below their comfortable battery state-of-charge. However, the use of public chargers increases dramatically in this scenario. Despite the lower unmet demand, such higher public charging station utilization can cause congestion, indicating a need for more investment in charging infrastructure.
doi:10.5281/zenodo.4027880 fatcat:2ud23ax4nfecxmvgs5nfm6icei