Cycle ageing analysis of a LiFePO4/graphite cell with dynamic model validations: Towards realistic lifetime predictions

By E. Sarasketa-Zabala, I. Gandiaga, E. Martinez-Laserna, L. M. Rodriguez-Martinez, I. Villarreal. 2014

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Lithium Battery State-of-Health Estimation via Differential Thermal Voltammetry With Gaussian Process Regression (2021, methodology): “Some traditional cycle aging models are established by using the cycle number, cumulative charge capacity, and current rate [13].”
Review—"Knees" in Lithium-Ion Battery Aging Trajectories (2022, neutral): “9d – e) and inconclusively observed via electrochemical impedance spectroscopy 62,79 – 81 (attribution of spectral shifts to speci ﬁ c underlying phenomena, particularly via full cell electrochemical impedance spectroscopy, is challenging).”
Temperature, Ageing and Thermal Management of Lithium-Ion Batteries (2021, methodology): “This relative cell capacity is frequently used in ageing studies [6,7] and generally referred to as the state of health (SOH) [82], normalized capacity [8] and relative, remaining or relative discharge capacity [5,83,84].”
Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019, background): “In contrast, the SOC dependence on calendar ageing lifetime is typically fitted by linear functions [100], exponential functions [99] or by the Tafel equation [95].”