Online Model Parameter and State of Charge Estimation of Li-Ion Battery Using Unscented Kalman Filter Considering Effects of Temperatures and C-Rates

• Published in: IEEE transactions on energy conversion Vol. 37; no. 4; pp. 2498 - 2511
• Main Authors: Hossain, Monowar, Haque, Md Enamul, Arif, Mohammad Taufiqul
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Equivalent circuits; Estimation; first-order linear time-invariant system; Integrated circuit modeling; Kalman filters; Li-ion battery; Lithium-ion batteries; Mathematical models; Matlab; Operating temperature; Parameters; real-time model parameters; Real-time systems; Rechargeable batteries; State of charge; temperature and C-rate effects; Temperature effects; Temperature measurement; unscented Kalman filter
• ISSN: 0885-8969; 1558-0059
• DOI: 10.1109/TEC.2022.3178600

This paper proposed a technique for online modeling and state of charge (SoC) estimation of Li-ion batteries considering the effects of operating temperatures and C-rates. The proposed battery model, which is updated in real-time, is incorporated with the unscented Kalman filter (UKF) for accurate a...