Enhanced state of charge estimation for Li-ion batteries through adaptive maximum correntropy Kalman filter with open circuit voltage correction-Reference-Cited by-同舟云学术

Enhanced state of charge estimation for Li-ion batteries through adaptive maximum correntropy Kalman filter with open circuit voltage correction

Published:2023-11 Issue: Volume:283 Page:128738
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Liu Zheng^ORCID,Zhao Zhenhua,Qiu Yuan,Jing Benqin^ORCID,Yang Chunshan,Wu Huifeng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference39 articles.

1. Scientometric research and critical analysis of battery state-of-charge estimation;Yang;J Energy Storage,2023

2. Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation;Zhu;Nat Commun,2022

3. Determination of degradation modes of lithium-ion batteries considering aging-induced changes in the half-cell open-circuit potential curve of silicon-graphite;Schmitt;J Power Sources,2022

4. A novel Co-estimation framework of state-of-charge, state-of-power and capacity for lithium-ion batteries using multi-parameters fusion method;Li;Energy,2023

5. Active acoustic emission sensing for fast co-estimation of state of charge and state of health of the lithium-ion battery;Wang;J Energy Storage,2023

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