Authors : Matthew Busayo Olanrewaju; Hazzan Adedapo Aderinko

Volume/Issue : Volume 11 - 2026, Issue 6 - June

Google Scholar : https://tinyurl.com/eyp4prkr

Scribd : https://tinyurl.com/yv42kkyf

DOI : https://doi.org/10.38124/ijisrt/26jun074

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : As the United Kingdom makes its transition into the mass-market phase of electric vehicle (EV) adoption, understanding real-world driver interactions with public charging infrastructure is critical for grid management and network optimization. This empirical study investigates the "black box" of State-of-Charge (SoC) driven charging behavior. It aims to challenge theoretical models that traditionally rely on simulated data or self-reported surveys by analyzing unvarnished user actions. The research analyzes a high-fidelity dataset of public charging telemetry collected over a 90-day period in 2025 across multiple UK locations. By preprocessing raw session data from arrival to departure, the study engineered specific metrics such as the SoC Delta and a "Stickiness" check to quantify charging utility and driver habits. The results of the study challenge common assumptions in academic literature and the industry about the charging behaviour of drivers.

Keywords : Electric Vehicle; State of Charge; Public Charging; Charging Behaviour.

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