A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries

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Qi Zhao, Xiaoli Qin, Hongbo Zhao, Wenquan Feng

Published: 2018, Last Modified: 11 May 2024Microelectron. Reliab. 2018EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Two new health indicators were identified to assess battery capacity during operation.•A SVR model was developed to online estimate battery SOH and to predict battery RUL.•The proposed method outperformed other state-of-the-art techniques.