This analysis explores the various energy sources used in automotive transport, focusing on gasoline, diesel, electricity, hydrogen, and biofuels. Artificial Intelligence (AI) plays a crucial role in optimizing energy efficiency, predicting vehicle performance, and enhancing sustainability. By using AI-driven models, researchers and engineers can assess environmental impacts, forecast energy demands, and develop smart mobility solutions. The integration of AI with automotive systems also enables real-time monitoring and adaptive energy management. This synergy between AI and alternative energy sources is essential for advancing cleaner, more efficient transportation. The study aims to guide future innovation in energy usage and vehicle technologies.

AI, Automobile transport, energy sources, gasoline, diesel, CNG, LPG, biofuel, electricity, hydrogen.

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Nasri, S., Mansouri, N., Mnassri, A., Lashab, A., Vasquez, J., & Rezk, H. (2025). Global Analysis of Electric Vehicle Charging Infrastructure and Sustainable Energy Sources Solutions. World Electric Vehicle Journal, 16(4), 194.

IEA. (2025). Electricity – Global Energy Review 2025 – Analysis. International Energy Agency.

Shokati, M., Mohammadi, P., & Amirinian, A. (2024). Advancements in Electric Vehicle Charging Optimization: A Survey of Reinforcement Learning Approaches.

Maldonato, F., & Hadachi, I. (2024). Reinforcement Learning Control Strategies for Electric Vehicles and Renewable Energy Sources Virtual Power Plants.