Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

SOC estimation of Lithium-ion battery based on Kalman filter algorithm

Authors
Ding-xuan Yu, Yan-xia Gao
Corresponding Author
Ding-xuan Yu
Available Online March 2013.
DOI
10.2991/iccsee.2013.580How to use a DOI?
Keywords
Kalman filter, Lithium-ion battery, SOC
Abstract

This paper presents Extended Kalman-filter (EKF) algorithm which is based on a first-order Lithium-ion bat-teries model. Curve fitting According to the OCV(open circuit voltage) SOC(state of charge) parameters meas-ured in experiments, descript status equation and observa-tion equation of Lithium-ion battery in detail , so that it can accurately demonstrates the characteristics of the Lithi-um-ion battery. Simulation and experiment results show the feasibility and effectiveness of the algorithm.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.580
ISSN
1951-6851
DOI
10.2991/iccsee.2013.580How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ding-xuan Yu
AU  - Yan-xia Gao
PY  - 2013/03
DA  - 2013/03
TI  - SOC estimation of Lithium-ion battery based on Kalman filter algorithm
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2316
EP  - 2319
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.580
DO  - 10.2991/iccsee.2013.580
ID  - Yu2013/03
ER  -