Document Type
Article
Date of Original Version
2023
Department
Computer Science and Statistics
Abstract
For a user-centered deployment of electric vehicle supply equipment (EVSE) infrastructure, it is vital to understand electric vehicle user charging behavior. This study identifies user behavioral patterns by analyzing data from more than 7000 charging stations in Canada, comparing residential vs. public Level 2, and public direct current fast (DCFC) vs. public Level 2 charging. A novel algorithm, CHAODA, was applied to identify differences between DCFC and other Level 2 charging options. Through a multivariate and holistic methodology, various patterns emerge, identifying differences in the utilization and seasonality of different EVSE types. The study provides evidence of an “EV Duck Curve” that amplifies the baseline of the power production “Duck Curve,” confirming future challenges for grid stability. Implementations of this study can support future EVSE infrastructure planning efforts and help improve the overall service of electric vehicle supply equipment and grid stability.
Publication Title, e.g., Journal
Energies
Volume
16
Issue
4
Citation/Publisher Attribution
Jonas, T., Daniels, N., & Macht, G. (2023). Electric Vehicle User Behavior: An Analysis of Charging Station Utilization in Canada. Energies, 16(4), 1592. http://dx.doi.org/10.3390/en16041592
Available at: https://doi.org/10.3390/en16041592
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comment
Noah M. Daniels is affiliated with the Department of Computer Science and Statistics.
Tim Jonas and Gretchen Macht are affiliated with the Department of Mechanical, Industrial and Systems Engineering.