Keynote Speaker
Advanced AI for Battery Modelling and beyond!
Remus Teodorescu
Abstract
Recently, Large Language Models (LLMs) have seen unprecedented development, marked by significant advancements in efficient foundation models, generative AI, reasoning capabilities, and intelligent agents. This progress has enabled innovations in battery conditioning monitoring, synthetic data generation, diagnostic and optimised control, enabling NVIDIA GPU AI acceleration of complex physical models using Physics-Informed Neural Networks (PINN). The presentation will present new concept of PINN with synthetic data generation and will demonstrate spatial-distribution of temperature and ion concentration AI accelerated prediction for Lithium-Ion battery cells with a discussion on possible real-time BMS implementation in order to improve the safety and sustainability of future battery systems. This achievement open the opportunity of imagining future Energy Foundation Models that could predict and optimize the rapidly increasing charging infrastructure demand in order to maintain the stability of the power gri
Remus Teodorescu received the Ph.D. degree in power electronics from the University of Galati in 1994 and Dr.HC in 2016 from Transilvania University of Brasov. In 1998, he joined the Department of Energy Technology at Aalborg University where he is currently a Full Professor. Between 2013 and 2017, he was a Visiting Professor with Chalmers University.
He is IEEE/PELS Fellow since 2012 for contributions to grid converters technology for renewable energy systems. He is current an Editor of Future Batteries Journal by Elsevier and Automotive Innovation by Springer.
He is the founder and current coordinator of the Center of Research for Smart Battery at Aalborg University focusing on improving the performance and safety of Li-Ion battery packs in transportation and energy sector by using power electronics and artificial Intelligence.
He is currently the recipient of the prestigious Villum Investigator Project: Smart Battery 2021-2027.
His main current research areas are: AI for battery modelling and management and Smart Batteries
For more information: Remus Teodorescu – Wikipedia
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