Life prediction of lithium-ion batteries based on stacked denoising autoencoders-Reference-Cited by-同舟云学术

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Life prediction of lithium-ion batteries based on stacked denoising autoencoders

Published:2021-04 Issue: Volume:208 Page:107396
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Xu Fan,Yang Fangfang,Fei Zicheng,Huang Zhelin,Tsui Kwok-Leung

Funder

City University of Hong Kong

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference47 articles.

1. Battery health prognosis for electric vehicles using sample entropy and sparse bayesian predictive modeling;Hu;IEEE Trans. Ind Electron,2016

2. State-of charge balance using adaptive droop control for distributed energy storage systems in DC microgrid applications;Lu;IEEE Trans Ind Electron,2014

3. Performance and cost of materials for lithium-based rechargeable automotive batteries;Schmuch;Nat Energy,2018

4. Prognostics of Li(NiMnCo)O2-based lithium-ion batteries using a novel battery degradation model;Yang;Microelectron Reliab,2017

5. A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries;Yang;Energy,2018

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