Plenary Session Speakers
prof. Remus Teodorescu

Prof. Remus Teodorescu, Aalborg University, Denmark

Remus Teodorescu received the Dipl.Ing. degree in electrical engineering from the Polytechnical University of Bucharest, Bucharest, Romania, in 1989, Ph.D. degree in power electronics from the University of Galati, Romania, in 1994 and , Dr.HC in 2016 from Transilvania University of Brasov.

In 1998, he joined the Department of Energy Technology at Aalborg University, Denmark where he is currently a Full Professor.

Between 2013 and 2017, he has been a Visiting Professor with Chalmers University.

He is IEEE/PELS Fellow since 2012 for contributions to grid converters technology for renewable energy systems.

In 2022 he became a Villum Investigator and leader of Center of Research for Smart Battery at Aalborg University.

His main current research areas are: Modular Multilevel Converters (MMC) for HVDC/FACTS, Li-Ion battery SOH Estimation with AI and Smart Batteries.

Smart Battery, a New Technology


Lithium-ion batteries are extensively used in a wide range of applications from electric vehicles to energy storage systems. Although the performance parameters in terms of energy density and cost have already met the targets, the remaining challenges are improved safety and longer lifetime. Especially for battery packs with many cells, the degradation process is accelerated due to the difference between cells electrical characteristics leading to a limited lifetime and reliability issues. This lecture introduces the novel concept of Smart Battery that combines batteries with advanced power electronics and artificial intelligence (AI) with the purpose to develop a new generation of battery solution for transportation and grid storage with extended lifetime. The key feature is the bypass device, a half-bridge parallel to each cell, that can control individual cell-level load management without affecting the load. An advanced AI-based lifetime controller is trained to recognize the signs of stressed battery cells and decide to insert relaxation time, resulting in a pulsed current operation and extended lifetime with up to 100%. The smart battery unique architecture is capable of on-line retraining of AI lifetime controller using data streaming from cells and cloud computing. The smart battery technology is currently at proof of concept stage.