Life-Prediction Methods for Lithium-Ion Batteries Derived from a Fatigue Approach

The possibility of using mechanical-fatigue life-prognostic methods for the life prediction of Li-ion batteries is evaluated. To this end, a physics-based model of a battery experiencing a single source of aging, i.e., the growth of a solid electrolyte interphase at the carbonaceous anode material, is employed as a surrogate battery. Dummy aging data sets, consisting of current microcycles at a nearly constant state of charge, are readily generated and used to evaluate the prediction capability of damage-accumulation relationships, among which is the Palmgren–Miner (PM) rule, which is well known in the field of mechanical fatigue. The PM rule is slightly more accurate than the regular damage accumulation over time. A complete methodology for predicting the aging of a battery experiencing a complex current profile is proposed in a second paper.