Fire risk assessment of airborne lithium battery based on entropy weight improved cloud model
Aircraft Engineering and Aerospace Technology
ISSN: 0002-2667
Article publication date: 18 January 2023
Issue publication date: 2 May 2023
Abstract
Purpose
The purpose of this paper is to combine the entropy weight method with the cloud model and establish a fire risk assessment method for airborne lithium battery.
Design/methodology/approach
In this paper, the fire risk assessment index system is established by fully considering the influence of the operation process of airborne lithium battery. Then, the cloud model based on entropy weight improvement is used to analyze the indexes in the system, and the cloud image is output to discuss the risk status of airborne lithium batteries. Finally, the weight, expectation, entropy and hyperentropy are analyzed to provide risk prevention measures.
Findings
In the risk system, bad contact of charging port, mechanical extrusion and mechanical shock have the greatest impact on the fire risk of airborne lithium battery. The fire risk of natural factors is at a low level, but its instability is 25% higher than that of human risk cases and 150% higher than that of battery risk cases.
Practical implications
The method of this paper can evaluate any type of airborne lithium battery and provide theoretical support for airborne lithium battery safety management.
Originality/value
After the fire risk assessment is completed, the risk cases are ranked by entropy weight. By summarizing the rule, the proposed measures for each prevention level are given.
Keywords
Acknowledgements
This work was supported by the National Natural Science Foundation of China – Civil Aviation Research Fund (No.U1933121), the Research Fund of Key Laboratory of Aircraft Environment Control and Life Support, MIIT, Nanjing University of Aeronautics and Astronautics (No.KLAECLS-E-202002), the Science and Technology Research Program of Chongqing Municipal Education Commission (No.KJQN201900738) and Natural Science Foundation of Chongqing, China (CSTB2022NSCQ-MSX1301).
Citation
Shao, L., He, J., Zeng, X., Hu, H., Yang, W. and Peng, Y. (2023), "Fire risk assessment of airborne lithium battery based on entropy weight improved cloud model", Aircraft Engineering and Aerospace Technology, Vol. 95 No. 6, pp. 869-877. https://doi.org/10.1108/AEAT-05-2022-0135
Publisher
:Emerald Publishing Limited
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