Real time SoC monitoring of a Li-Ion battery for robotic applications

This article proposes the use of the Kalman filter applied to the determination of the state of Li-Ion bat-tery for Robotic Applications. We present in the first part the description of the Kalman filter and the identification of the parameters of the model. In the second part, the structure and the setting of the state of charge observer are represented. Then, the results of real-time experimental validations for different states of charge of the battery and different settings of the observer are presented.Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 4thInternational Confer-ence on Advanced Materials for Photonics, Sensing and Energy Conversion Energy Applications.