Lithium-ion cell inconsistency analysis based on three-parameter Weibull probability model

Designing Hierarchical Porous ZnO/ZnFe2O4 Hybrid Nanofibers with Robust Core/Shell Heterostructure as Competitive Anodes for Efficient Lithium Storage

“…[ 49,50 ] Finally, the hierarchical porous core/shell structure maintains good mechanical/structural integrity by providing elastic buffer space and a robust substrate to inhibit the structural damage during repeated cycling. [ 51,52 ]…”

Parameter estimation of three-parameter Weibull probability model based on outlier detection

“…In addition to the Weibull model, two other statistical distributions have been used to describe the material data: the normal distribution and the lognormal distribution. 7–9 Comparatively, the two-parameter Weibull distribution is mostly used because: (a) it is more accurate in describing glass strength data than the normal distribution, 2 and (b) it is always more conservative in the tail of the distribution than the lognormal distribution. 3 Conservative estimates are preferred for engineering design applications considering the safety margin.…”

“…It quantitatively describes the distribution characteristics of battery capacity, internal resistance, voltage and other parameters. 2,3 Since lithium-ion batteries are nonlinear systems, the parameter distribution is not always symmetrical. 4 When the mean value deviates from the midpoint of the maximum and minimum values, the eigenvalues of the normal model cannot capture this asymmetry.…”