Eleftheroglou, N. (author), Zarouchas, D. (author), Loutas, Theodoros (author), Mansouri, Sina Sharif (author), Georgoulas, George (author), Karvelis, Petros (author), Nikolakopoulos, George (author), Benedictus, R. (author) This paper examines diagnostics and prognostics of Lithium-Polymer (Li-Po) batteries for unmanned aerial vehicles (UAVs). Several discharge voltage histories obtained during actual indoor flights constitute the training data for a data-driven approach, utilizing the Non-Homogenous Hidden Semi Markov model (NHHSMM). NHHSMM is a suitable candidate...
conference paper 2019