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Active online multi-source monitoring and hierarchical early warning system for LiFePO4 energy storage power station
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Qingqing XU1, Jie CHEN**, 1, Baobin GAO1, Yan WANG1, Jian WANG1, Zutian CHENG2
China Safety Science Journal | 2025, 35(7) : 184 - 191
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China Safety Science Journal | 2025, 35(7): 184-191
Safety engineering technology
Active online multi-source monitoring and hierarchical early warning system for LiFePO4 energy storage power station
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Qingqing XU1, Jie CHEN**, 1, Baobin GAO1, Yan WANG1, Jian WANG1, Zutian CHENG2
Affiliations
  • 1School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo Henan 454003, China
  • 2Henan Electric Power Survey & Design Institute, POWERCHINA, Zhengzhou Henan 451450, China
Published: 2025-07-28 doi: 10.16265/j.cnki.issn1003-3033.2025.07.0708
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In order to enhance the accident monitoring effect and early warning efficiency of lithium-ion battery energy storage power stations and reduce the probability of fire occurrence, aiming at the problems existing in prefabricated cabin LiFePO4 (LFP) battery energy storage power stations, such as passive monitoring delay, inaccurate monitoring of a single parameter, and ambiguous classification of disaster risks, an active online multi-source monitoring and hierarchical early warning system for LFP energy storage power stations was designed. Firstly, the thermal runaway and fire occurrence process of the energy storage power station was analyzed. The characteristic index set of each level was constructed, which is specific: internal temperature (single), internal pressure-sound (battery Pack), H2 and CO concentration (battery cluster), smoke characteristic image (battery chamber), and plan a detailed monitoring implementation path. Then, based on the four-level early warning corresponding to the four levels, formulate the early warning strategy and clarify the early warning process. Experimental results demonstrated that: This monitoring and early warning system can effectively achieve the early warning of LFP energy storage power stations. Under 2C overcharging conditions, it can give an early warning of the thermal runaway of 32 Ah battery cells 38.9 min in advance. The combustion of the 344 Ah battery module was warned 53.2 min in advance under the condition of 0.5C overcharging. This study proves that this system can provide an effective guarantee for the safe operation of energy storage power stations.

LiFePO4 (LFP) battery  /  energy storage power station  /  multi-source monitoring  /  hierarchical early warning  /  thermal runaway  /  fire
Qingqing XU, Jie CHEN, Baobin GAO, Yan WANG, Jian WANG, Zutian CHENG. Active online multi-source monitoring and hierarchical early warning system for LiFePO4 energy storage power station[J]. China Safety Science Journal, 2025 , 35 (7) : 184 -191 . DOI: 10.16265/j.cnki.issn1003-3033.2025.07.0708
Year 2025 volume 35 Issue 7
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doi: 10.16265/j.cnki.issn1003-3033.2025.07.0708
  • Receive Date:2025-03-24
  • Online Date:2026-07-09
  • Published:2025-07-28
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  • Received:2025-03-24
  • Revised:2025-05-16
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Affiliations
    1School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo Henan 454003, China
    2Henan Electric Power Survey & Design Institute, POWERCHINA, Zhengzhou Henan 451450, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
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种数
Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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