Electric Vehicles (EVs) play a vital role in achieving sustainable transportation and reducing global carbon emissions. However, one of the primary challenges faced by EV users is the uncertainty in charging duration, which depends on multiple parameters such as charger type, battery capacity, and system efficiency. Accurate estimation of charging time enhances user confidence, improves infrastructure utilization, and supports smart grid energy management. This paper presents an analytical framework for estimating the battery charging duration of EVs across different charging stations—namely Level 1 AC, Level 2 AC, DC Fast, and Ultra-Fast chargers. The proposed model formulates charging time as a function of charger power, required energy, and conversion efficiency. Validation using recent studies indicates that Ultra-Fast chargers significantly minimize charging duration but may face constraints due to thermal effects and efficiency losses [1–4]. The findings contribute to infrastructure planning, optimization of charging algorithms, and improved energy management systems for sustainable electric mobility.