Degradation Monitoring and Characterization in Lithium-Ion Batteries via the Asymptotic Local Approach

• Published in: IEEE transactions on control systems technology Vol. 33; no. 1; pp. 189 - 206
• Main Authors: Couto, Luis D., Reniers, Jorn, Zhang, Dong, Howey, David A., Kinnaert, Michel
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Asymptotic local approach; Batteries; Computational modeling; Data models; Degradation; Electrodes; fault diagnosis; Hydraulic models; Likelihood ratio; Lithium; lithium-ion (Li-ion); Lithium-ion batteries; modeling; Monitoring; Parameter identification; Reduced order models; Solid modeling; Solids; State observers; Statistical tests

Degradation mechanisms affecting the long-term performance of lithium-ion batteries should be monitored and characterized. Such mechanisms, such as loss of lithium inventory (LLI) or active material, can be translated into parameter variations in electrochemical battery models. Here, a reduced-order...