Remaining Useful Battery Life Prediction for UAVs based on Machine Learning * *This work has received partial funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Grant Agreement No.644128, AEROWORKS-Reference-Cited by-同舟云学术

Remaining Useful Battery Life Prediction for UAVs based on Machine Learning * *This work has received partial funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Grant Agreement No.644128, AEROWORKS

Published:2017-07 Issue:1 Volume:50 Page:4727-4732
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Mansouri Sina Sharif,Karvelis Petros,Georgoulas George,Nikolakopoulos George

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference33 articles.

1. Experimental model predictive attitude tracking control of a quadrotor helicopter subject to wind-gusts. In Control & Automation (MED), 2010 18th Mediterranean Conference on, 1461–1466;Alexis,2010

2. Model predictive quadrotor control: attitude, altitude and position experimental studies;Alexis;IET Control Theory & Applications,2012

3. Neural networks for pattern recognition;Bishop,1995

4. Fuzzy modelling for the state-of-charge estimation of lead-acid batteries;Burgos;Journal of Power Sources,2015

5. State-of-charge estimation for lithium-ion batteries using neural networks and ekf;Charkhgard;IEEE transactions on industrial electronics,2010

Cited by 67 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-driven approaches for the fast formation of lithium-ion pouch cells using operando gassing analysis;Journal of Power Sources;2024-09

2. Unraveling the Degradation Mechanisms of Lithium-Ion Batteries;Energies;2024-07-09

3. Attention Mechanism-Based Neural Network for Prediction of Battery Cycle Life in the Presence of Missing Data;Batteries;2024-06-26

4. A green smart station design for a UAV fleet management in precision agriculture;Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IX;2024-06-07

5. Semi-supervised learning for explainable few-shot battery lifetime prediction;Joule;2024-06