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Seçkin Açıcı

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Open access Sep 2026

Machine Learning-Based Fault Classification of Lithium-Ion Batteries Using Experimentally Measured Charging Features

Ensuring safe energy storage in lithium-ion batteries requires reliable fault diagnosis. However, classifying faults from small experimental datasets demands rigorous control over partition variability, hyperparameter bias, and measurement noise. This study evaluates five machine-learning classifiers using 110 experime...

Seçkin Açıcı, Abdulhakim Karakaya, Halil Yiğit · Applied Sciences · 0 citations