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R. Farjana

Jeonbuk National University

Korea, Republic of (South Korea)

SCHOLARLY PAPERS

1

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43

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0

Scholarly Papers (1)

1.

State-of-Charge Prediction by Machine Learning Models Using Experimental Dataset of Lithium-Ion-Batteries Based on Ionic Liquid Modified Lifsi Electrolyte

Number of pages: 7 Posted: 22 Apr 2025
Jeonbuk National University, Jeonbuk National University, Jeonbuk National University - New and Renewable Energy Material Development Center (New REC) and Jeonbuk National University
Downloads 43 (1,145,425)

Abstract:

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Discharge capacity, lithium-ion-battery, state-of-charge, Machine learning, Decision Tree