Special Session 3

Nowadays, energy storage systems are playing a strategic role in several electrical applications. The modeling of these devices and an accurate estimation of the battery State of Charge (SoC) are crucial topics if we consider that Lithium-ion (Li-ion) batteries are present in products and machines of all sizes (from small mobile devices to massive stationary applications in the grid used for stability and energy storage). Batteries performances improvement and price reduction are crucial targets not only for the decarbonization challenge but also for the development of portable human-machine interfaces. Starting from these considerations, computing key batteries parameters and predicting the Remaining Useful Life are mandatory for the effective operation of Battery Management Systems and ensure reliability, operational safety, and optimum batteries capacity utilization.

Topics of interest for this Special Session include but are not limited to:

• Tests and measurements strategy for batteries;
• Machine learning and Data-Driven techniques for batteries characterization;
• System-level reliability;
• Functional safety for the battery management system and battery packs;
• Energy storage systems integration and management;
• Battery-powered devices for extended reality;
• Battery-powered devices for portable neural interfaces.

Loredana Cristaldi (S’91–M’01–SM’06) received the M.Sc. degree in electrical engineering from the University of Catania, Catania, in 1992, and the Ph.D. degree in electrical engineering from the Politecnico di Milano, Milan, Italy, in 1995. In 1999, she joined the Dipartimento di Elettrotecnica, Politecnico di Milano as an Assistant Professor of electrical and electronic measurements.
Since 2005, she is an Associate Professor with the Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano. Her current research interests include the measurements of electric quantities under nonsinusoidal conditions, virtual instruments, and measurement methods for reliability, monitoring, and fault diagnosis.
Prof. Cristaldi is a Counsellor of the IEEE Student Branch of the Politecnico di Milano and a member of the TC 315 CEI (WG6) and TC56 CEI.

Marco Faifer (Senior Member, IEEE) received a Ph.D. degree in electrical engineering from Politecnico di Milano, Milan, Italy, in 2009.
He is currently an Associate Professor with the Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano. His scientific activity is mainly concerned with DSP techniques and the development of industrial sensors and devices for high-voltage measurements. Moreover, he develops measurement algorithms for the characterization of electrical components and materials. He also works in the field of diagnostics for electrical devices.

Emil Petkovski was born in Skopje, North Macedonia on September 8, 1994. He received the M.Sc. degree in Electrical Engineering, from Politecnico di Milano, Italy in 2020 and is currently a PhD researcher at the Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano.
His current research activities are in the field of Electrical measurements, Photovoltaic systems, data driven State of Health and End of Life prediction of Li-ion batteries and the Digital Twin paradigm.