An optimized Relevance Vector Machine with incremental learning strategy for lithium-ion battery remaining useful life estimation

Abstract

In most industrial fields, it needs to evaluate the performance degradation and remaining useful life (RUL) of lithium-ion battery. With the uncertainty representation of the RUL, the Relevance Vector Machine (RVM) becomes an effective approach in lithium-ion battery RUL prognostics. But, the small sample size and low precision of multi-step prediction will… (More)

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