The AI Revolution in Battery Management: Enabling the Future of Electrified Mobility

Abstract

The rapid growth of electrified mobility is driving the need for battery management systems (BMS) that are more intelligent, adaptive, and reliable than ever before. This keynote explores how artificial intelligence (AI) is revolutionizing battery management by enabling accurate state estimation, real-time health diagnostics, predictive safety monitoring, and remaining useful life prediction. It highlights recent advances in machine learning, physics-informed AI, and digital twin technologies that are transforming conventional BMS into data-driven decision-making platforms. The talk will also discuss the integration of AI with advanced sensing, cloud connectivity, and edge computing to enhance battery performance, safety, and operational efficiency across electric vehicles and energy storage systems. Key challenges, including data quality, model interpretability, cybersecurity, and real-time implementation, will be examined alongside emerging solutions. Practical examples and recent research developments will demonstrate how AI-driven battery management can improve reliability, extend battery lifetime, and reduce lifecycle costs. The keynote concludes with a vision for next-generation intelligent battery systems that will play a pivotal role in enabling a sustainable, connected, and autonomous electrified future.

Bio: 

Sheldon S. Williamson received the B.E. (Hons.) degree in electrical engineering from the University of Mumbai, Mumbai, India, in 1999, and the M.S. and Ph.D. degrees (Hons.) in electrical engineering from the Illinois Institute of Technology, Chicago, IL, USA, in 2002 and 2006, respectively. He is currently a Professor with the Department of Electrical, Computer and Software Engineering, and the Director of the Smart Transportation Electrification and Energy Research (STEER) Group, within the Faculty of Engineering and Applied Sciences, at Ontario Tech University, in Oshawa, Ontario, Canada. His current research interests include advanced power electronics, electric energy storage systems, and motor drives for transportation electrification and autonomous e-mobility. Prof. Williamson is also an NSERC Canada Research Chair (CRC) Alumni in electric energy storage systems for transportation electrification and is a Fellow of the IEEE.