Data-Driven Analysis of a NEVI-Compliant EV Charging Station in the Northern Region of the U.S.

This study presents a data-driven analysis of a Level-3 EV charging station on a major interstate highway in a northern rural region of the United States, focusing on adherence to the National Electric Vehicle Infrastructure (NEVI) formula program. Utilizing two years of 15-minute smart meter data, this paper presents the power demand dynamics and characteristics of this EV charging station. This study investigates charging trends and behaviors over various time frames, including monthly, seasonal, and weekday periods. The Charging Behavior (CB) index, a novel metric, is developed to quantify and compare charging behavior patterns. Besides, this study investigates the correlation between the power demand of the charging station and the corresponding traffic counts. The result shows that the correlation is particularly relevant in seasonal variations in northern rural areas. The findings from this comprehensive analysis are vital for stakeholders in the power sector, aiding in the strategic planning and optimization of EV charging infrastructure under NEVI compliance, especially in remote regions that have the four-season climate. The study's insights are also crucial for researchers focusing on the sustainable integration of EV infrastructure into existing power grids, addressing both operational planning and demand management.