A Comprehensive Data Analysis of Electric Vehicle User Behaviors Toward Unlocking Vehicle-to-Grid Potential

Abstract

Electric vehicles (EVs) improve the power grid by increasing intermittent renewable energy consumption and providing financial support to EV users via vehicle-to-grid (V2G) integration. While estimating these advantages, a number of studies have neglected to consider the effect of driving and charging behavior patterns on their results. This article provides a framework that systematically evaluates EV driving and charging behaviors to improve charge management in the light of recent standards and advancements. In addition, the collected data on driving habits are analyzed in order to provide a consistent and usable dataset. By evaluating the individual and simultaneous charging demand characteristics, the V2G potential is further explored. Moreover, managerial recommendations for EV charging management are offered by improving the time step using the Bootstrap approach for more precise results than lower resolution. It is also addressed that the simultaneous use of a limited number of EVs required minimum time. According to the findings of this study, daily travel habits have a crucial influence in defining seasonal and individual charging demands. In order to continue with EV charging-related assessments with a confidence interval of more than 95%, the findings suggest that time steps of lower than ten minutes must be used. In addition, the purpose of this study is to assist researchers from academia and business with further information as they build initiatives linked to EV charging infrastructure and real-time charging management standards that account environmental aspects. INDEX TERMSBootstrap, charging behavior, distributed network, driving data, electric vehicle. ALPASLAN DEMIRCI received the B.S. and M.S. degrees in electrical engineering from Marmara University, Istanbul, Turkey, in 2007 and 2011, respectively, and the second B.S. degree in electrical and electronics engineering from Sakarya University, Turkey, in 2017. He is currently pursuing the Ph.D. degree in electrical engineering with Yıldız Technical University (YTU), Istanbul. From 2012 to 2016, he was a Lecturer at the Department of Electricity and Energy, YTU, where he is a Lecturer with the Electrical Engineering Department, since 2016. His research interests include power system optimization methods, distributed renewable energy systems, and energy economics and electric vehicles. He has published several papers related to his research areas.

Electric School Buses: Catalysts for Peak Shaving and Load Leveling in V2G Systems

“…The analysis underscores the importance of thorough assessments, considering factors such as EV charging traffic, road conditions, and energy demand trends for accurate predictions and optimal fleet deployment. In essence, this research contributes valuable insights into addressing grid congestion challenges in V2G systems and presents an innovative solution leveraging electric school buses for peak shaving and load leveling [1][2][3][4][5][6][7][8][9][10][11].…”