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  • 标题:Comprehensive early warning strategies based on consistency deviation of thermal–electrical characteristics for energy storage grid
  • 本地全文:下载
  • 作者:Xiaogang Wu ; Zhihao Cui ; Gang Zhou
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2021
  • 卷号:24
  • 期号:9
  • 页码:1-26
  • DOI:10.1016/j.isci.2021.103058
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryLithium iron phosphate (LiFePO4) 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 LiFePO4batteries. 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 LiFePO4batteries 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.Graphical abstractDisplay OmittedHighlights•A comprehensive early warning strategy for multiple timescales was developed•The battery electric-thermal characteristics of different time scales were obtained•The proposed warning strategy expanded the application of early warning algorithmsEnergy Resources; Energy systems; Energy management; Energy storage
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