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Comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid

Lithium iron phosphate (LiFePO(4)) batteries have been dominant in energy storage systems. However, it is difficult to estimate the state of charge (SOC) and safety early warning of the batteries. To solve these problems, this paper developed a multiple timescale comprehensive early warning strategy...

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Detalles Bibliográficos
Autores principales: Wu, Xiaogang, Cui, Zhihao, Zhou, Gang, Wen, Tao, Hu, Fangfang, Du, Jiuyu, Ouyang, Minggao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441077/
https://www.ncbi.nlm.nih.gov/pubmed/34541471
http://dx.doi.org/10.1016/j.isci.2021.103058
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author Wu, Xiaogang
Cui, Zhihao
Zhou, Gang
Wen, Tao
Hu, Fangfang
Du, Jiuyu
Ouyang, Minggao
author_facet Wu, Xiaogang
Cui, Zhihao
Zhou, Gang
Wen, Tao
Hu, Fangfang
Du, Jiuyu
Ouyang, Minggao
author_sort Wu, Xiaogang
collection PubMed
description Lithium iron phosphate (LiFePO(4)) batteries have been dominant in energy storage systems. However, it is difficult to estimate the state of charge (SOC) and safety early warning of the batteries. To solve these problems, this paper developed a multiple timescale comprehensive early warning strategy based on the consistency deviation of the electrical and thermal characteristics of LiFePO(4) batteries. The unscented Kalman filter method was employed to estimate the battery SOC. The established comprehensive early warning strategy was verified through fault-triggered experiments at different time scales with different equivalent resistances. The results show that the comprehensive early warning strategy can realize early warning for different timescale failures of LiFePO(4) batteries under different energy storage conditions. For more dangerous severe failures that can break the safety valve, safety early warning can be realized 15 min in advance. This study provides a reference to ensure safe and reliable operations of energy storage systems.
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spelling pubmed-84410772021-09-17 Comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid Wu, Xiaogang Cui, Zhihao Zhou, Gang Wen, Tao Hu, Fangfang Du, Jiuyu Ouyang, Minggao iScience Article Lithium iron phosphate (LiFePO(4)) batteries have been dominant in energy storage systems. However, it is difficult to estimate the state of charge (SOC) and safety early warning of the batteries. To solve these problems, this paper developed a multiple timescale comprehensive early warning strategy based on the consistency deviation of the electrical and thermal characteristics of LiFePO(4) batteries. The unscented Kalman filter method was employed to estimate the battery SOC. The established comprehensive early warning strategy was verified through fault-triggered experiments at different time scales with different equivalent resistances. The results show that the comprehensive early warning strategy can realize early warning for different timescale failures of LiFePO(4) batteries under different energy storage conditions. For more dangerous severe failures that can break the safety valve, safety early warning can be realized 15 min in advance. This study provides a reference to ensure safe and reliable operations of energy storage systems. Elsevier 2021-08-28 /pmc/articles/PMC8441077/ /pubmed/34541471 http://dx.doi.org/10.1016/j.isci.2021.103058 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Xiaogang
Cui, Zhihao
Zhou, Gang
Wen, Tao
Hu, Fangfang
Du, Jiuyu
Ouyang, Minggao
Comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid
title Comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid
title_full Comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid
title_fullStr Comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid
title_full_unstemmed Comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid
title_short Comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid
title_sort comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441077/
https://www.ncbi.nlm.nih.gov/pubmed/34541471
http://dx.doi.org/10.1016/j.isci.2021.103058
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