Research • Knowledge • Skills
Publications · external

Artificial Intelligence and Machine Learning Applications in Electric Vehicle Technology and Education

Abstract

Read abstract

The rapid integration of Artificial Intelligence (AI) and Machine Learning (ML) into electric vehicle (EV) technology is reshaping the future of the automotive industry, driving advancements in energy efficiency, autonomous systems, and overall vehicle performance. This chapter explores the transformative role of AI and ML in optimizing EV battery management, enhancing driving assistance systems, and improving energy utilization. Key technologies such as predictive analytics, real-time decision-making algorithms, and adaptive systems are examined for their contributions to energy optimization and vehicle autonomy. The chapter also delves into the challenges faced by AI-driven EV systems, including issues related to sensor reliability, real-time data processing, and regulatory considerations. As the EV market grows, AI and ML are poised to play an essential role in not only improving vehicle performance but also in the broader context of smart grid integration and sustainable transportation solutions. By investigating the latest developments and future directions, this chapter offers valuable insights into the potential of AI and ML to drive the next generation of electric vehicles.

Record information

Authors
S. Poorna Chander Rao; S Muthurajan
Publisher
RADemics Research Institute
Publication
Artificial Intelligence and Machine Learning–Enabled Pedagogical Innovations for the Future of Education
DOI
10.71443/9789349552890-08