Remaining Useful Life Prediction of Lithium Batteries Based on Extended Kalman Particle Filter-Reference-Cited by-同舟云学术

Remaining Useful Life Prediction of Lithium Batteries Based on Extended Kalman Particle Filter

Published:2021-01-24 Issue:2 Volume:16 Page:206-214
ISSN:1931-4973
Container-title:IEEJ Transactions on Electrical and Electronic Engineering
language:en
Short-container-title:IEEJ Trans Elec Electron Eng

Author:

Zhang Ning¹²,Xu Aidong¹²,Wang Kai¹²,Han Xiaojia¹²,Hong Wenhuan²,Hong Seung Ho³

Affiliation:

1. Key Laboratory of Networked Control System, Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China

2. Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang 110169 China

3. Department of Electronic Engineering Hanyang University Ansan 15588 South Korea

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23287

Reference22 articles.

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2. Ageing mechanisms in lithium‐ion batteries;Vetter J;Journal of Power Sources,2005

3. Characterisation of charge and discharge behavior of lithium ion batteries with olivine based cathode active material;Roscher MA;Journal of Power Sources,2009

4. Simulation of capacity fade in lithium‐ion batteries;Spotnitz R;Journal of Power Sources,2003

5. Overview of Remaining Useful Life Methodologies;Bagul YG;ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference,2008

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