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

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/).

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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  -