Prediction of Lithium-Ion Battery Capacity in UAVs

This article proposes a research on degradation of lithium-ion batteries. The life of these batteries can be measured by monitoring capacity degradation. A dataset made available by NASA for the present study was used. Also, 3 methods were used to predict the failure. The methods were Non-recursive...

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Bibliographic Details
Published in:	2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) pp. 1865 - 1869
Main Authors:	Costa, Erick F., Souza, Darielson A., Pinto, Vandilberto P., Araujo, Miqueias S., Peixoto, Artur M., da Costa, Erivaldo P.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-04-2019
Subjects:	Artificial neural networks Batteries Degradation Discharges (electric) ELM ANN Kalman Filter Kalman filters Least Squares Lithium Ion batteries Mathematical model Monitoring UAVs
Online Access:	Get full text
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Summary:	This article proposes a research on degradation of lithium-ion batteries. The life of these batteries can be measured by monitoring capacity degradation. A dataset made available by NASA for the present study was used. Also, 3 methods were used to predict the failure. The methods were Non-recursive Least Squares, a Kalman Filter and an ELM neural network with a very simple architecture, but the results achieved good results and can be compared to other more robust algorithms.
ISSN:	2576-3555
DOI:	10.1109/CoDIT.2019.8820714