Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

State of Charge Estimation for Li-ion Batteries based on double Extended Kalman Filtering Method

Authors
Zhou Lv, Zhide Li, Yuhan Dong
Corresponding Author
Zhou Lv
Available Online July 2015.
DOI
https://doi.org/10.2991/icismme-15.2015.6How to use a DOI?
Keywords
state of charge; double extended Kalman filtering; Ampere-hour method.
Abstract
Lithium-ion batteries have been widely used in daily life, and their state of charge (SOC) has received considerable attention and investigation. This paper presented a model based on double extended Kalman filtering (DEKF) method, which combines the advantages of Ampere-hour method and extended Kalman filtering error cancellation. A series of charge-discharge experiments on LiFeCOPO4 batteries have been carried out with different configurations of constant currents and temperature. Experiment results show that the proposed DKEF method effectively improves the precision of SOC estimation, and can be used in large-scale industrial production.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
First International Conference on Information Sciences, Machinery, Materials and Energy
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/icismme-15.2015.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhou Lv
AU  - Zhide Li
AU  - Yuhan Dong
PY  - 2015/07
DA  - 2015/07
TI  - State of Charge Estimation for Li-ion Batteries based on double Extended Kalman Filtering Method
BT  - First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 30
EP  - 35
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.6
DO  - https://doi.org/10.2991/icismme-15.2015.6
ID  - Lv2015/07
ER  -