Online System Identification for Lifetime Diagnostic of Supercapacitors With Guaranteed Stability - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Control Systems Technology Année : 2016

Online System Identification for Lifetime Diagnostic of Supercapacitors With Guaranteed Stability

Résumé

In this paper, an online system identification method is introduced for lifetime diagnostic of supercapacitors. The online strategy uses a Lyapunov-based adaptation law to estimate online the supercapacitor's parameters. Therefore, the adaptive observer's stability is guaranteed by Lyapunov's direct method. State-of-health (SoH) estimation is crucial since aging introduces degradation in supercapacitors' performance, which might eventually lead to their failure. SoH is usually measured by offline time or frequency domain characterization techniques such as spectroscopy. However, these methods require interruption of the system's operation, and hence, they are not suitable for real-time applications such as electric vehicles. Unlike other online estimation strategies, only voltage and current measurements are required. Simulation and experimental results along with comparison against two different methods highlight the effectiveness of the proposed approach in estimating the SoH.
Fichier non déposé

Dates et versions

hal-02149721 , version 1 (06-06-2019)

Identifiants

Citer

Hicham Chaoui, Asmae El Mejdoubi, Amrane Oukaour, Hamid Gualous. Online System Identification for Lifetime Diagnostic of Supercapacitors With Guaranteed Stability. IEEE Transactions on Control Systems Technology, 2016, 24 (6), pp.2094-2102. ⟨10.1109/TCST.2016.2520911⟩. ⟨hal-02149721⟩
27 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More