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Guest lecture by Dr. Jussi Sihvo: Impedance-based condition diagnostics of Li-ion batteries - research and industrial applications

For students

We would like to invite you to a guest lecture by Dr. Jussi Sihvo on the topic of impedance-based diagnostics of batteries for research and industrial practice. The lecture will take place on Thursday, 14 May 2026, from 13:00 to 14:30 in room A4-7, Technická 2, Faculty of Electrical Engineering, Czech Technical University in Prague, and will also be available online.

The lecture will introduce the use of impedance-based methods, including electrochemical impedance spectroscopy, for battery diagnostics and state estimation. Dr. Sihvo will discuss how the impedance of Li-ion batteries can be measured, interpreted, and used to assess battery condition, health, and lifetime. The lecture will also present recent developments in the field, with examples from Dr. Sihvo’s own research carried out during his MSCA Postdoctoral Fellowship at Aalborg University, Denmark, and within his current Academy Research Fellow project at Tampere University, Finland.

Dr. Jussi Sihvo received his Ph.D. degree in battery modeling and system identification from Tampere University, Finland, in 2021. He subsequently spent two years at Aalborg University, Denmark, as an MSCA Postdoctoral Fellow. He is currently an Academy Research Fellow at Tampere University, where his research focuses on advanced battery management, modeling, diagnostics, and measurement methods. His expertise includes the modeling, measurement, and analysis of battery and hydrogen storage systems, with a particular focus on electrochemical impedance spectroscopy and its use in Li-ion battery health estimation, lifetime modeling, condition monitoring, and cell sorting for first- and second-life battery applications.

Dr. Sihvo’s visit builds on an existing collaboration with the Battery & Energy Storage Systems research group at CTU. This is not his first lecture at CTU, as he has previously contributed to the CTU Battery Days series. His current project, funded by the Academy of Finland and entitled “Intelligent battery management protocols: real-time impedance-based state estimation methods for lifetime maximization of Li-ion batteries and applications,” focuses on integrating impedance-based condition monitoring algorithms into battery management system architectures for real-time battery monitoring. The aim of the project is to improve battery management methods and, in turn, enhance the performance and lifetime of Li-ion batteries and their applications.

Responsible person Ing. Mgr. Radovan Suk