Suggested Citation:
Kwon, Kihyun, Xinwei Li, Gil Tal (2025)

Exploring New Tools for Modeling Home and Commute Charging Demand: A California Case Study

This study aims to explore a new tools to estimate commute charging demand for electric vehicles (EVs) in California. We utilize a mix of public data sources to evaluate commute patterns and estimate the out-of-home charging demand at commute destinations. We first develop a method to estimate EV commuters at destinations with high resolution. We then estimate the total number of daily charging events and energy demand (kWh/day) using a charging demand model with multiple sensitivity scenarios. We observe not only a few hotspot areas with high charging demand but also a high disparity of charging demand in urban areas, especially big cities. Second, multiple scenarios used in the charging demand model led to different outcomes for daily charging events and energy demand. Lastly, if the demand for public transit or active transportation modes increases, the demand for out-of-home charging is more affected in urban areas than in rural areas.