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Capacity Fade Analysis of Lithium-Ion Cells Utilizing Uncertainty Quantification Approach

Lithium-ion batteries (LIBs) have drawn attention in research due to their broad range of applications. To achieve low-cost and high reliable batteries, researchers have worked on a variety of degradation phenomena. Among them, the Solid Electrolyte Interphase (SEI) layer is the most important degradation phenomenon and causes the cell to capacity fade and internal resistance raise. In this paper, a stochastic approach, based on the sparse Jacobi polynomial chaos expansion, is utilized to investigate the effect of the uncertainty sources on the lithium-ion battery aging. Furthermore, the importance of every uncertainty source is calculated by using Sobol indices. Capacity fade and resistance raise obtain at the end of the Constant Current-Constant Voltage (CC-CV) charging. The outcome of this study shows the most important parameters affecting capacity fade and voltage drop.