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

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 eUAV’s remaining available flying time powered by lithium-ion polymer batteries. A series of ground tests are described that make use of an electric unmanned aerial vehicle (eUAV) to verify the performance of remaining...

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Bibliographic Details
Main Authors: Edward F. Hogge, Brian M. Bole, Sixto L. Vazquez, Chetan S. Kulkarni, Thomas H. Strom, Boyd L. Hill, Kyle M. Smalling, Cuong C. Quach
Format: Article
Language:English
Published: The Prognostics and Health Management Society 2018-01-01
Series:International Journal of Prognostics and Health Management
Subjects:
fault detection
verification and validation
aircraft avionics
battery degradation
robustness
Online Access:https://papers.phmsociety.org/index.php/ijphm/article/view/2700

Internet

https://papers.phmsociety.org/index.php/ijphm/article/view/2700

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