Estimation of Electric Vehicle Range Using Artificial Neural Networks

This paper presents a project that addresses the transportation sector's rapid growth contributes to pollution through conventional fossil fuel vehicles emitting harmful gases, leading to global warming. Electric vehicles (EVs) offer a cleaner alternative, but range anxiety hinders widespread adoption. Range prediction, crucial for EV practicality, estimates travel distance on a single charge, considering factors like battery capacity, driving conditions, and weather. Accurate models, rooted in deep knowledge of EV technology and real-world driving, are essential. Our proposed solution employs a machine learning approach, integrating physical and environmental variables to minimize range anxiety, empower informed decision-making, and enhance the overall electric vehicle experience, promoting sustainable transportation