In this section, we provide a detailed explanation of the process illustrated in Figure . The same neural network described in Section 2.2.1 is utilized to predict the mean and standard deviation values of cyclic capacity loss. The sensitivity analysis of the cycle capacity loss against the features can be found in Figure . The plot illustrates the relative impact of various operational parameters on battery capacity loss due to cyclic aging. FEC, charge rate, and discharge rate show minimal effect on capacity loss, maintaining values close to zero with little spread. In contrast, temperature, SOC, and especially DOC demonstrate greater variability in capacity loss.