Micro-short circuit fault diagnosis of lithium-ion battery based on voltage curve similarity ranking volatility-Reference-Cited by-同舟云学术

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Micro-short circuit fault diagnosis of lithium-ion battery based on voltage curve similarity ranking volatility

Published:2024-01-31 Issue:11 Volume:21 Page:2415-2428
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

Chang Chun¹,Haimei Cen¹,Su Guangwei¹,Jiang Jiuchun¹²,Tian Aina¹,Yan Jiang²,Gao Yang²,Wu Tiezhou¹

Affiliation:

1. Hubei Key Laboratory for HighEfficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, China

2. Sunwoda Electronic Co. Ltd, Shenzhen, China

Funder

National Natural Science Foundation of China

Guiding Fund of Government’s Science and Technology

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15435075.2024.2310007

Reference38 articles.

1. Performance and safety protection of internal short circuit in lithium-ion battery based on a multilayer electro-thermal coupling model

2. A novel estimation method for the state of health of lithium-ion battery using prior knowledge-based neural network and Markov chain;Dai H.;IEEE Transactions on Industrial Electronics,2018

3. Variational Mode Decomposition

4. Lithium-Ion Batteries Health Prognosis Considering Aging Conditions

5. Propagation mechanisms and diagnosis of parameter inconsistency within Li-Ion battery packs

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