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

DOI

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.

Copyright

© 2015, 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  - 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  - Proceedings of the 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  - 10.2991/icismme-15.2015.6
ID  - Lv2015/07
ER  -