Intelligent data-driven prognostic methodologies for the real-time remaining useful life until the end-of-discharge estimation of the Lithium-Polymer batteries of unmanned aerial vehicles with uncertainty quantification

•Methodologies for the real-time remaining useful life of Li-Po batteries estimation.•Actual UAV flight data (battery discharge voltage) are utilized.•Uncertainty quantification accompanies every point prediction.•Prognostic performance metrics highlights the pros and cons of each methodology.