Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles.

This paper addresses the problem of building trust in the online prediction of a battery powered UAV's remaining available flying time. A series of ground tests is described that make use of an electric unmanned aerial vehicle (eUAV) to verify the performance of remaining flying time predictions. The algorithm verification procedure described is implemented on a fully functional vehicle that is restrained to a platform for repeated run-to-functional-failure (charge depletion) experiments.