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…