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
Eleftheroglou, Nick, Mansouri, Sina Sharif, Loutas, Theodoros, Karvelis, Petros, Georgoulas, George, Nikolakopoulos, George, Zarouchas, DimitriosVolume:
254
Journal:
Applied Energy
DOI:
10.1016/j.apenergy.2019.113677
Date:
November, 2019
File:
PDF, 3.21 MB
2019