A hybrid remaining useful life prediction method for lithium-ion batteries based on transfer learning with CDRSN-BiGRU-AM
Lei Li,
Yuanjiang Li,
Jinglin Zhang
Abstract:The prediction of the remaining useful life (RUL) of lithium-ion batteries (LIBs), which are increasingly used in a wide range of applications, has been an important study. Existing techniques are difficult to strike a balance between prediction accuracy and execution time. To realize highly accurate RUL prediction in a short time, a hybrid RUL prediction method for LIBs was developed. The method first adopts a channel-wise deep residual shrinkage network (CDRSN) for adaptive extraction of input data feature, … Show more
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