Abstract
The state-of-health (SOH) estimation of lithium-ion batteries (LIBs) is essential for the safe operation, intelligent maintenance, and life prediction of electric vehicles (EVs). Due to the complex operation conditions of EVs, such as the random depth-of-discharge cycling, incomplete or seldom full charging, accurate SOH estimation is still challenging in real application. In this paper, a novel SOH estimation method based on multiple small charging segments is proposed to achieve flexibility and high accuracy at the same time. With this method, any one of the small segments can be used to estimate SOH for flexibility. The multiple segments can be fused to improve the estimation accuracy. The proposed method is validated by an open-source dataset, which indicates that the SOH can be estimated with less than 2.5% maximum percentage error by any one of the small charging segments, and less than 1.5% maximum percentage error by the fusion of multiple small charging segments.
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