Giacomo Galuppini

Massachusetts Institute of Technology (MIT)

University of Pavia

SCHOLARLY PAPERS

3

DOWNLOADS

213

TOTAL CITATIONS

1

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

Nonlinear Local Identifiability Analysis of Multiphase Porous Electrode Theory-Based Battery Models: A Lithium Iron Phosphate Case Study

Number of pages: 15 Posted: 24 Jan 2023
Giacomo Galuppini, Marc D. Berliner, Daniel A. Cogswell, Debbie Zhuang, Martin Z. Bazant and Richard D. Braatz
Massachusetts Institute of Technology (MIT), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Department of Chemical Engineering and Massachusetts Institute of Technology (MIT)
Downloads 90 (569,057)

Abstract:

Loading...

Lithium-ion batteries, Lithium Iron Phosphate, Multiphase Porous Electrode Theory, parameter estimation, Identifiability Analysis

2.

Efficient Computation of Safe, Fast Charging Protocols for Multiphase Lithium-Ion Batteries: A Lithium Iron Phosphate Case Study

Number of pages: 16 Posted: 18 Mar 2023
Giacomo Galuppini, Marc D. Berliner, Huada Lian, Debbie Zhuang, Martin Z. Bazant and Richard D. Braatz
Massachusetts Institute of Technology (MIT), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Department of Chemical Engineering and Massachusetts Institute of Technology (MIT)
Downloads 86 (585,188)

Abstract:

Loading...

lithium-ion batteries, Lithium Iron Phosphate, Multiphase Porous Electrode Theory, Fast charging, Charging Protocols, Optimal Control

3.

Improving Diagnostics and Prognostics of Implantable Cardioverter Defibrillator Batteries with Interpretable Machine Learning Models

Downloads 37 (864,768)
Citation 1

Improving Diagnostics and Prognostics of Implantable Cardioverter Defibrillator Batteries with Interpretable Machine Learning Models

Number of pages: 20 Posted: 25 Mar 2024
Giacomo Galuppini, Qiaohao Liang, Prabhakar A. Tamirisa, Jeffrey A. Lemmerman, Melani G. Sullivan, Michael J. M. Mazack, Partha M. Gomadam, Martin Z. Bazant and Richard D. Braatz
Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Massachusetts Institute of Technology (MIT) - Department of Chemical Engineering and Massachusetts Institute of Technology (MIT)
Downloads 21 (1,051,131)
Citation 1

Abstract:

Loading...

Batteries, Defibrillators, Machine Learning, Generalized Additive Models, Diagnostics, Prognostics.

Improving Diagnostics and Prognostics of Implantable Cardioverter Defibrillator Batteries with Interpretable Machine Learning Models

Number of pages: 19 Posted: 22 Jan 2024
Giacomo Galuppini, Qiaohao Liang, Prabhakar A. Tamirisa, Jeffrey A. Lemmerman, Melani G. Sullivan, Michael J. M. Mazack, Partha M. Gomadam, Martin Z. Bazant and Richard D. Braatz
Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Massachusetts Institute of Technology (MIT) - Department of Chemical Engineering and Massachusetts Institute of Technology (MIT)
Downloads 16 (1,111,876)

Abstract:

Loading...

Batteries, Defibrillators, Machine learning, Generalized Additive Models, Diagnostics, Prognostics