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