State of Charge Estimation for Li-ion Batteries based on double Extended Kalman Filtering Method
Zhou Lv, Zhide Li, Yuhan Dong
Available Online July 2015.
- https://doi.org/10.2991/icismme-15.2015.6How to use a DOI?
- state of charge; double extended Kalman filtering; Ampere-hour method.
- 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.
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 -