activity
20202025
most citedOn-line Capacity Estimation for Lithium-ion Battery Cells via an Electrochemical Model-based Adaptive Interconnected Observer

119 citations · 124 across the 6 of their papers we have counts for

collaborators

6 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…

eess.SY2022★ 2 cited

Core-shell enhanced single particle model for LiFePO batteries

Aki Takahashi, Gabriele Pozzato, Anirudh Allam +5

In this paper, a novel electrochemical model for LiFePO battery cells that accounts for the positive particle lithium intercalation and deintercalation dynamics is proposed. St…

eess.SY2022★ 1 cited

Evaluating feasibility of batteries for second-life applications using machine learning

Aki Takahashi, Anirudh Allam, Simona Onori

This paper presents a combination of machine learning techniques to enable prompt evaluation of retired electric vehicle batteries as to either retain those batteries for a second-…

eess.SY2022★ 1 cited

Extending life of Lithium-ion battery systems by embracing heterogeneities via an optimal control-based active balancing strategy

Vahid Azimi, Anirudh Allam, Simona Onori

This paper formulates and solves a multi-objective fast charging-minimum degradation optimal control problem (OCP) for a lithium-ion battery module made of series-connected cells e…

eess.SY2020★ 119 cited

On-line Capacity Estimation for Lithium-ion Battery Cells via an Electrochemical Model-based Adaptive Interconnected Observer

Anirudh Allam, Simona Onori

Battery aging is a natural process that contributes to capacity and power fade, resulting in a gradual performance degradation over time and usage. State of Charge (SOC) and State…