El Mejdoubi, A. and Oukaour, A. and Chaoui, H. and Gualous, H. and Sabor, J. and Slamani, Y. (2016) State-of-Charge and State-of-Health Lithium-Ion Batteries' Diagnosis According to Surface Temperature Variation. IEEE Transactions on Industrial Electronics, 63 (4). pp. 2391-2402.

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Abstract

This paper presents a hybrid state-of-charge (SOC) and state-of-health (SOH) estimation technique for lithium-ion batteries according to surface temperature variation (STV). The hybrid approach uses an adaptive observer to estimate the SOH while an extended Kalman filter (EKF) is used to predict the SOC. Unlike other estimation methods, the closed-loop estimation strategy takes into account the STV and its stability is guaranteed by Lyapunov direct method. In order to validate the proposed method, experiments have been carried out under different operating temperature conditions and various discharge currents. Results highlight the effectiveness of the approach in estimating SOC and SOH for different aging conditions. © 1982-2012 IEEE.

Item Type: Article
Uncontrolled Keywords: Atmospheric temperature; Charging (batteries); Electric batteries; Estimation; Extended Kalman filters; Health; Ions; Kalman filters; Lithium; Lithium alloys; Lithium compounds; Lithium-ion batteries; Secondary batteries; Surface properties; Temperature; Temperature distribution, Adaptive observer; Lyapunov stability; Parameters estimation; State of charge; State of health, Battery management systems
Subjects: Engineering
Divisions: SCIENTIFIC PRODUCTION > Engineering
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:47
URI: http://eprints.umi.ac.ma/id/eprint/3263

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