Lithium-ion batteries remaining useful life prediction based on a mixture of empirical mode decomposition and ARIMA model

• Published in: Microelectronics and reliability Vol. 65; pp. 265 - 273
• Main Authors: Zhou, Yapeng, Huang, Miaohua
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2016
• Subjects: ARIMA; Empirical mode decomposition; Lithium-ion battery; Prediction; Remaining useful life; Lithium-ion battery; Empirical mode decomposition; Remaining useful life; ARIMA; Prediction

Prediction of lithium-ion batteries remaining useful life (RUL) plays an important role in battery management system (BMS) used in electric vehicles. A novel approach which combines empirical mode decomposition (EMD) and autoregressive integrated moving average (ARIMA) model is proposed for RUL prog...