Remaining useful life prediction method of lithium-ion batteries is based on variational modal decomposition and deep learning integrated approach

• Published in: Energy (Oxford) Vol. 282; p. 128984
• Main Authors: Wang, Shuai, Ma, Hongyan, Zhang, Yingda, Li, Shengyan, He, Wei
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.11.2023
• Subjects: Echo state network; Lithium-ion battery; Long-short-term memory; Remaining useful life; Variational modal decomposition; Lithium-ion battery; Variational modal decomposition; Long-short-term memory; Remaining useful life; Echo state network

A common method based on variational modal decomposition (VMD) and an integrated depth model is proposed to address the problem that it is difficult to precisely anticipate the remaining useful life (RUL) of lithium-ion batteries (LIBs). Initially, VMD is employed to decompose the LIBs capacity data...