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Behnam Ghalami Choobar on Muck Rack

Behnam Ghalami Choobar

As seen in: Wiley Online Library, Cell Reports Physical Science
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Articles

Changepoint detection as a light data-driven approach to battery state-of-health prediction

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By Hamid Hamed, Behnam Ghalami Choobar, Quanquan Pang, Rebecca Killick, Mohammadhossein Safari
| Cell Reports Physical Science Verified
Keywords battery health prognostics data-driven feature extraction changepoint detection physics-interpretable data-driven SOH estimation Introduction The data-driven models for state-of-health (SOH) prediction of batteries offer higher simplicity and lower computational efforts relative to the physics-based models,1 eliminating the need for a detailed knowledge of the underlying physics and chemistry of the degradation mechanisms.2 In this regard, machine learning (ML) increasingly gains...
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Toward a Synergistic Optimization of Porous Electrode Formulation and Polysulfide Regulation in Lithium-Sulfur Batteries

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By Lowie Henderick, Christophe Detavernier, Saeed Yari, Behnam Ghalami Choobar
| Wiley Online Library Verified
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description smll202307090-sup-0001-SuppMat.pdf1 MB Supporting Information References 1, , , , Nat. Mater. 2011, 11, 172. 2, , , , Angew. Chemie. Int. Ed. 2013, 52, 13186. 3, , , , , , Adv. Mater. 2017, 29, 1606823. 4, J. Power Sources 2013, 231, 153. 5, Acc. Chem. Res. 2013, 46, 1125. 6, , , , , , Adv. Energy Mater 2021, 11, 2002893. 7, , , , , , Joule 2019, 3, 361. 8, , ACS Appl. Energy Mater. 2020, 3, 8095.
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