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RESEARCH PAPER · SSRN Electronic Journal · 2022

Machine Learning for Battery Research

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4 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Machine Learning for Battery ResearchOriginalMechanical Behavior and Failure Prediction of Cylindrical Lithium-Ion Batteries Under Mechanical Abuse Using Data-Driven Machine Learning1Estimation of the State of Charge/Health of Electric Vehicle Batteries Through Machine Learning Approach1Lithium-ion battery digitalization: Combining physics-based models and machine learning101Random forest-based small training dataset complementation and features selection for capacity estimation of lithium-ion batteries in electric-powered application6

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  1. Mechanical Behavior and Failure Prediction of Cylindrical Lithium-Ion Batteries Under Mechanical Abuse Using Data-Driven Machine Learning

    SSRN Electronic Journal · 2024-01-01

    Xinchun Zhang, Xiao-di Yin, Zixuan Huang, Tao Zhang, Tiejun Ci, Chunyan Li, Qinglong Wang, Marwan El Rich

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  2. Estimation of the State of Charge/Health of Electric Vehicle Batteries Through Machine Learning Approach

    Unknown journal · 2024-01-23

    Clemente Capasso, Giovanni Chianese, Ottorino Veneri, Stanislao Patalano, Ferdinando Vitolo

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  3. Lithium-ion battery digitalization: Combining physics-based models and machine learning

    Renewable and Sustainable Energy Reviews · 2024-05-21

    Mahshid Nejati Amiri, Anne Håkansson, Odne Stokke Burheim, Jacob Joseph Lamb

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  4. Random forest-based small training dataset complementation and features selection for capacity estimation of lithium-ion batteries in electric-powered application

    Applied Soft Computing · 2025-06-27

    Seunghwa Sin, Eunjin Kang, Jong‐Hoon Kim, Sein Oh, Jongbok Baek

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