Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering-Reference-Cited by-同舟云学术

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Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering

Published:2020-03 Issue: Volume:262 Page:114569
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Hu Lin,Hu Xiaosong,Che Yunhong,Feng Fei,Lin Xianke^ORCID,Zhang Zhiyong

Funder

NSF of China

Hunan Science Foundation for Distinguished Young Scholars of China

Chongqing Natural Science Foudation for Distinguished Young Scholars

Chinese Postdoctoral Science Foundation

Special Foundation of Chongqing Postdoctoral Science

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference46 articles.

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2. Techno-economic analysis of a more efficient hydrogen generation system prototype: a case study of PEM electrolyzer with Cr-C coated SS304 bipolar plates;Taner;Fuel Cells,2019

3. Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries;Hu;J Power Sources,2012

4. A review of equalization strategies for series battery packs: variables, objectives, and algorithms;Feng;Renew Sustain Energy Rev,2019

5. Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles;Sun;Energy,2011

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4. A Training-Free Estimation Method for the State of Charge and State of Health of Series Battery Packs under Various Load Profiles;Energies;2024-04-11

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