1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.SY2025
Analyzing cell-to-cell heterogeneities and cell configurations in parallel-connected battery modules using physics-based modeling
Simone Fasolato, Anirudh Allam, Simona Onori +1
In parallel-connected cells, cell-to-cell (CtC) heterogeneities can lead to current and thermal gradients that may adversely impact the battery performance and aging. Sources of Ct…
cs.LG2024★ 1 cited
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…