An electrochemistry-based impedance model for lithium-ion batteries

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Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (2016, background): “Its characterization, assessment, and prognosis, however, is particularly challenging in electric vehicle applications, since: 1) various degradation processes with distinct spatiotemporal dynamics arise, such as material stress and fatigue, electrode delamination, electrolyte decomposition, solid e”
A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors (2018, background): “Furthermore, equipped with fractional-order differentiation, the models contain only a few parameters that have the potential to maintain physical meanings [70, 71].”