Remaining useful life prediction of lithium-ion battery using an improved UPF method based on MCMC-Reference-Cited by-同舟云学术

Remaining useful life prediction of lithium-ion battery using an improved UPF method based on MCMC

Published:2017-08 Issue: Volume:75 Page:288-295
ISSN:0026-2714
Container-title:Microelectronics Reliability
language:en
Short-container-title:Microelectronics Reliability

Author:

Zhang Xin,Miao Qiang,Liu Zhiwen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Surfaces, Coatings and Films,Safety, Risk, Reliability and Quality,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference23 articles.

1. An integrated probabilistic approach to lithium-ion battery remaining useful life estimation;Liu;IEEE Trans. Instrum. Meas.,2015

2. Remaining Useful Life Prediction of the Lithium-ion Battery Using Particle Filtering;Miao,2013

3. Prognostics in battery health management;Goebel;IEEE Instrum. Meas. Mag.,2008

4. A naive Bayes model for robust remaining useful life prediction of lithium-ion battery;Ng;Appl. Energy,2014

5. Comparison of prognostic algorithms for estimating remaining useful life of batteries;Saha;Trans. Inst. Meas. Control.,2009

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