A novel nonlinearity-aware adaptive observer for estimating surface concentration and state of charge of lithium-ion batteries-Reference-Cited by-同舟云学术

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A novel nonlinearity-aware adaptive observer for estimating surface concentration and state of charge of lithium-ion batteries

Published:2024-05 Issue: Volume:602 Page:234373
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Zhuang Yi,Xu Le^ORCID,Deng Zhongwei^ORCID,Xie Yi,Li Jinwen^ORCID,Hu Xiaosong

Funder

National Key Research and Development Program of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Reference27 articles.

1. Battery capacity trajectory prediction by capturing the correlation between different vehicles;Li;Energy,2022

2. Degradation Pattern Recognition and features extrapolation for battery capacity trajectory prediction;Li;IEEE Trans. Transp. Electrific.,2023

3. Modeling, estimation, and control challenges for lithium-ion batteries;Chaturvedi,2010

4. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell;Doyle;Journal of The Electrochemical Society - J ELECTROCHEM SOC,1993

5. Dynamic aspects of solid solution cathodes for electrochemical power sources;Atlung;J. Electrochem. Soc.,1979

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved 2rc-Pngv Modeling and Adaptive Sage-Husa H∞ Filtering for Battery Power State Estimation Based on Multi-Parameter Constraints;2024

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