Robust and Model-Free SoC Estimation for UAV Batteries via Feature-Selection-Augmented Deep Learning
This study presents a model-free, feature-selection-based deep-learning approach for accurate and robust State of Charge (SoC) estimation of lithium-polymer (Li-Po) batteries in mission- and safety-critical unmanned aerial vehicle (UAV) applications. SoC estimation is challenging because it is not directly measurable a...