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İsmail Erol

1 paper indexed

crossrefDrones2026-07-18

A Comparative Study of Machine Learning and Deep Learning Models for State of Charge and Remaining Useful Life Estimation on a Rotary-Wing UAV Battery

Mehmet Konar, Seda Arık Hatipoğlu, İsmail Erol, Ömer Çam, Sümeyra Tuna, Mustafa Fenerci

Battery state estimation is the main safety constraint for electric rotary-wing unmanned aerial vehicles (UAVs): mission decisions depend on both the instantaneous State of Charge (SOC) and the Remaining Useful Life (RUL). The present study compares seven machine learning and dee…

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