Stateof charge estimation framework for lithium‐ion batteries based on square root cubature Kalman filter under wide operation temperature range-Reference-Cited by-同舟云学术

Stateof charge estimation framework for lithium‐ion batteries based on square root cubature Kalman filter under wide operation temperature range

Published:2020-11-11 Issue:4 Volume:45 Page:5586-5601
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Shen Jiangwei¹,Xiong Jian¹,Shu Xing¹,Li Guang²,Zhang Yuanjian³,Chen Zheng¹²^ORCID,Liu Yonggang⁴

Affiliation:

1. Faculty of Transportation Engineering Kunming University of Science and Technology Kunming China

2. School of Engineering and Materials Science Queen Mary University of London London UK

3. School of Mechanical and Aerospace Engineering Queen's University Belfast Belfast UK

4. State Key Laboratory of Mechanical Transmissions & School of Automotive Engineering Chongqing University Chongqing China

Funder

H2020 Marie Skłodowska-Curie Actions

National Natural Science Foundation of China

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.6186

Reference37 articles.

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2. A uniform estimation framework for state of health of lithium‐ion batteries considering feature extraction and parameters optimization;Shu X;Energy,2020

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4. State estimation for advanced battery management: key challenges and future trends;Hu XS;Renew Sustain Energy Rev,2019

5. Run‐to‐run control for active balancing of lithium iron phosphate battery packs;Tang X;IEEE Trans Power Electron,2019

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