2 papers
eess.SY2026
Design of an embedded hardware platform for cell-level diagnostics in commercial battery modules
Gabriele Marini, Alessandro Colombo, Andrea Lanubile +2
While battery aging is commonly studied at the cell-level, evaluating aging and performance within battery modules remains a critical challenge. Testing cells within fully assemble…
cs.LG2024
Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries
Andrea Lanubile, Pietro Bosoni, Gabriele Pozzato +3
Accurate estimation of battery state of health is crucial for effective electric vehicle battery management. Here, we propose five health indicators that can be extracted online fr…