State of Health and Aging Estimation Using Kalman Filter in Combination with ARX Model for Prediction of Lifetime Period of Li-Ion

Abstract

The state of health (SOH) is a critical factor to guarantee that a battery system will operate in a safe and reliable manner for the whole lifetime period. The estimation of the lifetime period is important for effective and failure - free working. Many factors affect the rate of the degradation of batteries. Every cell has a typical dissimilar mechanism of degradation. A method of the state of health (SOH) is discussed in this contribution. A hybrid method takes advantage of combining the autoregressive exogenous battery model (ARX) and the Kalman filter.