activity
20202023
most citedOn-line Capacity Estimation for Lithium-ion Battery Cells via an Electrochemical Model-based Adaptive Interconnected Observer

119 citations · 144 across the 11 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

eess.SY2022

Core-shell enhanced single particle model for lithium iron phosphate batteries: model formulation and analysis of numerical solutions

Gabriele Pozzato, Aki Takahashi, Xueyan Li +3

In this paper, a core-shell enhanced single particle model for iron-phosphate battery cells is formulated, implemented, and verified. Starting from the description of the positive…

eess.SY2022

Effect of State of Charge Uncertainty on Battery Energy Storage Systems

Sonia Martin, Simona Onori, Ram Rajagopal

Battery energy storage systems (BESSs) provide many benefits to the electricity grid, including stability, backup power, and flexibility in introducing more clean energy sources. A…

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.SY2022★ 3 cited

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…