Lithium-ion battery remaining useful life prediction based on data-driven and particle filter fusion model

To improve the accuracy and stability of battery remaining useful life (RUL) prediction for lithium-ion batteries, this paper proposes a new convolutional neural network-gated recurrent unit-particle filter (CNN-GRU-PF) fusion prediction model. First, the battery capacity series is decomposed and re...

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Bibliographic Details
Published in:Green Energy and Intelligent Transportation
Main Authors: Chunling Wu, Chenfeng Xu, Liding Wang, Juncheng Fu, Jinhao Meng
Format: Article
Language:English
Published: Elsevier 2025-10-01
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2773153725000179