Comprehensive digital twin for stationary battery energy storage

Comprehensive digital twin for stationary battery energy storage

Paper in proceedings outside WoS and Scopus

This work focuses on digital twin designed for stationary energy storage systems employing second-life lithium-ion batteries. The concept combines real-time monitoring of the physical system with a virtual counterpart built upon semi-empirical models, data-driven algorithms and reduced-order physical models. This hybrid modeling approach enables continuous estimation of critical battery parameters, including State-of-Charge, State-of-Health and internal temperature. By considering the higher variability of second-life cells, the proposed architecture supports advanced diagnostics, predictive maintenance strategies, and improved system performance.

This work focuses on digital twin designed for stationary energy storage systems employing second-life lithium-ion batteries. The concept combines real-time monitoring of the physical system with a virtual counterpart built upon semi-empirical models, data-driven algorithms and reduced-order physical models. This hybrid modeling approach enables continuous estimation of critical battery parameters, including State-of-Charge, State-of-Health and internal temperature. By considering the higher variability of second-life cells, the proposed architecture supports advanced diagnostics, predictive maintenance strategies, and improved system performance.

Li-ion battery, Digital twin, Equivalent Circuit Model, State-of-Health, State-of-Charge

Li-ion battery, Digital twin, Equivalent Circuit Model, State-of-Health, State-of-Charge

SEDLAŘÍK, M.; VYROUBAL, P.; TOMÍČEK, P.; MAČÁK, M.; ŠEDINA, M.; KAZDA, T.

28.07.2025

Brno University of Technology Faculty of Electrical Engineering and Communication of the Brno University of Technology

Brno

978-80-214-6356-1

131

133

3

https://www.aba-brno.cz/download/2025-ABAF-Proceeding.pdf