Capacity fade analysis of a lithium ion cell

By Q. Zhang, Ralph E. White. 2008

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A Multiscale Framework with Extended Kalman Filter for Lithium-Ion Battery SOC and Capacity Estimation (2010, methodology): “A physics-based single particle model was used to simulate the life cycling data of Li-ion cells and to study the physics of capacity fade [4,5].”
Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment (2018, background): “Other studies [16], [40] concluded that αsei can reach values up to around 16%.”
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning (2020, background): “The conventional approach to battery forecasting relies on modelling microscopic degradation mechanisms, such as the growth of the solid-electrolyte interphase 5,6 , lithium plating 7,8 and active material loss 9,10 .”
A review on lithium-ion battery ageing mechanisms and estimations for automotive applications (2013, background): “• The (secondary) loss of electrode active materials, possibly a material dissolution, structural degradation, particle isolation, and electrode delamination [45].”
Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model (2015, background): “In general, the capacity retention of a Li-ion battery is proportional to the battery life-cycles [45].”