3 citations · 4 across the 2 of their papers we have counts for
4 papers
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…
Sensitivity analysis of a mean-value exergy-based internal combustion engine model
Gabriele Pozzato, Denise Rizzo, Simona Onori
In this work, we conduct a sensitivity analysis of the mean-value internal combustion engine exergy-based model, recently developed by the authors, with respect to different drivin…
Exergy-based modeling framework for hybrid and electric ground vehicles
Federico Dettù, Gabriele Pozzato, Denise M. Rizzo +1
Exergy, or availability, is a thermodynamic concept representing the useful work that can be extracted from a system evolving from a given state to a reference state. It is also a…
Modeling Degradation for Second-life Battery: Preliminary Results
Gabriele Pozzato, Seong Beom Lee, Simona Onori
This paper presents a novel battery modeling framework based on the enhanced single particle model (ESPM) to account for degradation mechanisms of second-life batteries. While acco…