Shah Muhammad Adan, Md. Mudassir Chowdhury, Muhammad Abobakar Sadiq, Daloar Hossan, Khan Jawad, Muhammad Tahir Zaman
The Artificial Intelligence (AI) integration into Electric Vehicles (EVs) is revolutionizing automotive industry by solving critical problems related to sustainable transportation. This comprehensive review examines the revolutionary impact of AI applications in EVs, focusing on four key domains: capabilities of autonomous driving, sophisticated smart charging infrastructure, state of the art in battery management systems and predictive maintenance. It describes how by analyzing current implementations and future technologies, AI native solutions ensure energy efficiency, enhanced safety protocol, optimized user experience and reduce environmental impacts. First, the paper conducts a critical exploration of ethical issues in AI, including data privacy, algorithmic bias, and accident accountability, and draws up frameworks for robust deployment of responsible AI systems. Finally, the paper also touches on the future ideas of V2G technology being used in a real life scenario, developing Level 5 autonomous vehicles and eco-driving systems and how they can possibly be implemented for higher sustainability and better human machine environment cooperation. Deep diving into technical advancements and ethical implications, they take a closer look at how AI powered EVs can quickly put the world on track for a green transportation revolution with responsible technological deployment.
Shah Muhammad Adnan Md Mudassir Chowdhury Muhammad Abobakar Sadiq Daloar Hossan Khan Jawad Muhammad Tahir Zaman “AI-Driven Smart Electric Vehicles: A Revolutionary Paradigm Shift in Susta Vol. 13 Issue 06 PP. 39-49 June 2026. https://doi.org/10.5281/zenodo.21550138.
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