Multi-step ahead thermal warning network for energy storage system based on the core temperature detection

Abstract The energy storage system is an important part of the energy system. Lithium-ion batteries have been widely used in energy storage systems because of their high energy density and long life. However, the temperature is still the key factor hindering the further development of lithium-ion ba...

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Autores principales:	Marui Li, Chaoyu Dong, Xiaodan Yu, Qian Xiao, Hongjie Jia
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/be0f7972e46e4c90b4343483eaef67e9
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spelling	oai:doaj.org-article:be0f7972e46e4c90b4343483eaef67e92021-12-02T16:31:47ZMulti-step ahead thermal warning network for energy storage system based on the core temperature detection10.1038/s41598-021-93801-92045-2322https://doaj.org/article/be0f7972e46e4c90b4343483eaef67e92021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93801-9https://doaj.org/toc/2045-2322Abstract The energy storage system is an important part of the energy system. Lithium-ion batteries have been widely used in energy storage systems because of their high energy density and long life. However, the temperature is still the key factor hindering the further development of lithium-ion battery energy storage systems. Both low temperature and high temperature will reduce the life and safety of lithium-ion batteries. In actual operation, the core temperature and the surface temperature of the lithium-ion battery energy storage system may have a large temperature difference. However, only the surface temperature of the lithium-ion battery energy storage system can be easily measured. The estimation method of the core temperature, which can better reflect the operation condition of the lithium-ion battery energy storage system, has not been commercialized. To secure the thermal safety of the energy storage system, a multi-step ahead thermal warning network for the energy storage system based on the core temperature detection is developed in this paper. The thermal warning network utilizes the measurement difference and an integrated long and short-term memory network to process the input time series. This thermal early warning network takes the core temperature of the energy storage system as the judgment criterion of early warning and can provide a warning signal in multi-step in advance. This detection network can use real-time measurement to predict whether the core temperature of the lithium-ion battery energy storage system will reach a critical value in the following time window. And the output of the established warning network model directly determines whether or not an early emergency signal should be sent out. In the end, the accuracy and effectiveness of the model are verified by numerous testing.Marui LiChaoyu DongXiaodan YuQian XiaoHongjie JiaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Marui Li Chaoyu Dong Xiaodan Yu Qian Xiao Hongjie Jia Multi-step ahead thermal warning network for energy storage system based on the core temperature detection
description	Abstract The energy storage system is an important part of the energy system. Lithium-ion batteries have been widely used in energy storage systems because of their high energy density and long life. However, the temperature is still the key factor hindering the further development of lithium-ion battery energy storage systems. Both low temperature and high temperature will reduce the life and safety of lithium-ion batteries. In actual operation, the core temperature and the surface temperature of the lithium-ion battery energy storage system may have a large temperature difference. However, only the surface temperature of the lithium-ion battery energy storage system can be easily measured. The estimation method of the core temperature, which can better reflect the operation condition of the lithium-ion battery energy storage system, has not been commercialized. To secure the thermal safety of the energy storage system, a multi-step ahead thermal warning network for the energy storage system based on the core temperature detection is developed in this paper. The thermal warning network utilizes the measurement difference and an integrated long and short-term memory network to process the input time series. This thermal early warning network takes the core temperature of the energy storage system as the judgment criterion of early warning and can provide a warning signal in multi-step in advance. This detection network can use real-time measurement to predict whether the core temperature of the lithium-ion battery energy storage system will reach a critical value in the following time window. And the output of the established warning network model directly determines whether or not an early emergency signal should be sent out. In the end, the accuracy and effectiveness of the model are verified by numerous testing.
format	article
author	Marui Li Chaoyu Dong Xiaodan Yu Qian Xiao Hongjie Jia
author_facet	Marui Li Chaoyu Dong Xiaodan Yu Qian Xiao Hongjie Jia
author_sort	Marui Li
title	Multi-step ahead thermal warning network for energy storage system based on the core temperature detection
title_short	Multi-step ahead thermal warning network for energy storage system based on the core temperature detection
title_full	Multi-step ahead thermal warning network for energy storage system based on the core temperature detection
title_fullStr	Multi-step ahead thermal warning network for energy storage system based on the core temperature detection
title_full_unstemmed	Multi-step ahead thermal warning network for energy storage system based on the core temperature detection
title_sort	multi-step ahead thermal warning network for energy storage system based on the core temperature detection
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/be0f7972e46e4c90b4343483eaef67e9
work_keys_str_mv	AT maruili multistepaheadthermalwarningnetworkforenergystoragesystembasedonthecoretemperaturedetection AT chaoyudong multistepaheadthermalwarningnetworkforenergystoragesystembasedonthecoretemperaturedetection AT xiaodanyu multistepaheadthermalwarningnetworkforenergystoragesystembasedonthecoretemperaturedetection AT qianxiao multistepaheadthermalwarningnetworkforenergystoragesystembasedonthecoretemperaturedetection AT hongjiejia multistepaheadthermalwarningnetworkforenergystoragesystembasedonthecoretemperaturedetection
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Multi-step ahead thermal warning network for energy storage system based on the core temperature detection

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