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author:

Huang, Zonghou (Huang, Zonghou.) [1] (Scholars:黄宗侯) | Jin, Kaiqiang (Jin, Kaiqiang.) [2] | Yang, Fuqiang (Yang, Fuqiang.) [3] (Scholars:阳富强) | Wang, Qingsong (Wang, Qingsong.) [4] | Hou, Yanan (Hou, Yanan.) [5] | Qin, Peng (Qin, Peng.) [6]

Indexed by:

EI

Abstract:

Jet fire is a typical behavior of Li-ion batteries during thermal runaway (TR), which is one of the main factors causing fire accidents in battery systems, but its dynamic dominant mechanism is still unclear. Therefore, this paper experimentally investigated the dynamic evolution of jet fire of lithium iron phosphate (LFP) and lithium nickel‑cobalt-manganate (NCM) batteries with the same capacity. A novel method based on image recognition algorithm and nonlinear fitting was proposed to reveal the dominant mechanism of jet fire and to further divide its process into stages. Besides, the effect of the state of charge (SOC)on the dynamics of jet fire was quantified. The results show the jet fire of 50%SOC NCM battery goes through five stages successively: buoyancy dominant, buoyancy-momentum co-dominant, momentum dominant, buoyancy- momentum co-dominant and buoyancy dominant, which is one more momentum dominant stage than that of 50 % SOC LFP batteries. For both 50 % SOC NCM and LFP batteries, the time ratio of buoyancy-momentum co-dominant during TR are the highest, reaching 85.1 % and 79.1 %, respectively. The outlet kinetic energy of 50%SOC LFP battery is greater than that of buoyancy work during TR process, while the proportion of time that the kinetic energy on fire is greater than that of buoyancy work in NCM battery is 47.49 %, and the time ratio of pure momentum-dominated is 5.98 %. Furthermore, the effect of gas outlet momentum on the fire increases with the increase of SOC. This paper can provide a theoretical direction for reducing the fire hazard of LIBs. © 2025

Keyword:

Buoyancy Charging time Electric accidents Fire hazards Health hazards Kinetic parameters Kinetic theory of gases Lithium-ion batteries State of charge

Community:

  • [ 1 ] [Huang, Zonghou]College of Environment and Safety Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Huang, Zonghou]Sichuan Key Technology Engineering Research Center for All-electric Navigable Aircraft, Sichuan, Guanghan; 618307, China
  • [ 3 ] [Jin, Kaiqiang]State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei; 230026, China
  • [ 4 ] [Yang, Fuqiang]College of Environment and Safety Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Wang, Qingsong]State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei; 230026, China
  • [ 6 ] [Hou, Yanan]College of Geological Engineering and Surveying, Chang'an University, Xi'an; 710000, China
  • [ 7 ] [Qin, Peng]School of Electrical Engineering and Automation, Hefei University of Technology, Hefei; 230026, China

Reprint 's Address:

  • [hou, yanan]college of geological engineering and surveying, chang'an university, xi'an; 710000, china

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Source :

Journal of Energy Storage

Year: 2025

Volume: 125

8 . 9 0 0

JCR@2023

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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