AI in the Adoption of Electric Vehicles: Advantages, Challenges and Future Outlook: A Review

Electric vehicles (EVs) are generally understood as a major part of a sustainable transport system. However, they still suffer from quite a few issues, R for example, poor battery range, the requirement for a robust infrastructure, long charging times, and high purchase prices. Artificial Intelligence (AI) is very capable of solving these problems. Recent studies from 2024 to 2025 reveal that the deployment of AI in EVs, among other benefits, can lead to a reduction of maintenance costs by up to 40% and a drop in unplanned downtime by 70% through predictive analytics. Besides that, AI-enabled energy management systems have displayed the ability to lower the maximum power requirement to the grid by about 34% in case of large, scale adoption, while simultaneously optimizing battery thermal management that helps in extending battery life by almost 30%. This article is intended to shed light on the diverse ways in which AI can help accelerate the adoption of EVs. The article investigates different ways in which AI can help in maximizing energy efficiency so as to increase battery range through smart driving techniques and superior thermal management. Moreover, the article confronts the issues that hinder the use of AI in EVs such as data requirements, computational complexity, and safety precautions. In the end, it looks at the future of AI in electric cars, focusing on potential breakthroughs such as Vehicle to Grid (V2G) synchronization and its revolutionary effects on the global automotive industry.