Modeling long-term capacity degradation of lithium-ion batteries

Capacity degradation of lithium-ion batteries under long-term cyclic aging is modeled via a flexible sigmoidal-type regression set-up, where the parameters can be interpreted. Different approaches known from literature are discussed and compared with new proposal. Statistical procedures, such as parameter estimation, confidence prediction intervals presented applied to real data. The capacity model may in second-life scenarios batteries. Using some prior information or training data on complete path, fitted satisfactorily even if only short-term available. arise single battery.