An Estimation Algorithm of Extended Kalman Filter based on improved Thevenin Model for the management of Lithium Battery System
Signal Processing
2019-10-09 v2 Adaptation and Self-Organizing Systems
Abstract
We proposed a new estimation algorithm of extended Kalman filter (EKF) based on improved Thevenin model; Experiments were carried out to verify the validity with seven 4Ah lithium cobalt acid batteries in series. The experimental results showed that when using the algorithm, the estimation error of SOC is in the scope of error allowed, and the requirement of online SOC estimation can be satisfied.
Keywords
Cite
@article{arxiv.1902.00226,
title = {An Estimation Algorithm of Extended Kalman Filter based on improved Thevenin Model for the management of Lithium Battery System},
author = {Peng Li},
journal= {arXiv preprint arXiv:1902.00226},
year = {2019}
}
Comments
Because of the author's inexperience (the first time) when this article was uploaded, due to the problems of document management software, the contents of other authors in the reference were mistakenly uploaded to the article. Although no comments were received, the author still asked to withdraw this article and sincerely apologized