Article ISI SCOPUS
RELIABILITY ENGINEERING & SYSTEM SAFETY  (2019)

Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms

Sierra, G; Orchard, M; Goebel, K; Kulkarni, C

Keywords: Model-based Prognostics, Multirotor unmanned aerial vehicles, Li-Po battery end-of-discharge, Bayesian parameter estimation, Efficient on-board prognostics

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Título según WOS: Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms
Título según SCOPUS: Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms
Título de la Revista: RELIABILITY ENGINEERING & SYSTEM SAFETY
Volumen: 182
Editorial: ELSEVIER SCI LTD
Fecha de publicación: 2019
Página de inicio: 166
Página final: 178
Idioma: English
DOI:

10.1016/j.ress.2018.04.030
Notas: ISI, SCOPUS