Data-Driven Sustainable EV Infrastructure for Los Angeles
Widespread adoption of electric vehicles (EVs) throughout L.A. County will reduce carbon emissions and improve local air quality, but requires the development of a reliable and efficient charging infrastructure. As EV adoption grows, EV charging introduces new challenges such as understanding the interplay between peak system loads in the electricity grid and EV charging behavior. For example, through load shifting, EV charging may be scheduled strategically to reduce peak electricity demand; however, it is unknown if these approaches are practically feasible given the expectations and behavior of EV drivers. This project establishes data-driven models of EV charging behavior to reduce costs and optimize the efficiency of EV charging. This project also provides the first large-scale evidence on EV charging behavior. The project uses data from PlugShare, the world’s largest and most widely used EV charging station locator app, which includes data from all public EV charging stations in Los Angeles.
Institute of the Environment & Sustainability, Physical Sciences (currently, Georgia Institute of Technology)
Electrical Engineering, Henry Samueli School of Engineering & Applied Sciences (currently, Georgia Institute of Technology)