A Mathematical Model for the Lithium-Ion Negative Electrode Solid Electrolyte Interphase

307 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning (2020, background): “The conventional approach to battery forecasting relies on modelling microscopic degradation mechanisms, such as the growth of the solid-electrolyte interphase 5,6 , lithium plating 7,8 and active material loss 9,10 .”