Figure 7.

Results from performing inverse modeling of the synthetic data (${\sigma }_{\text{noise}}^2=8\cdot {10}^{-5}{\text{Ah}}^2\hspace{0.17em}$) with the correct “Cycling Model”. With an increasing number of drawn samples, the parameters’ joint probability distribution converges to the correct parameterization (black line) and a reasonable 95% confidence area (red) considering the noise level. The initial prior is wide (indicated by the blue 95% prior area) and significantly biased (nonsymmetric around the true values for the parameters).