Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms

被引：0
|
作者：
Pu, Zilong [1 ,2 ]
Yang, Miaomiao [1 ,2 ]
Jiao, Mingzhi [1 ,2 ,3 ]
Zhao, Duan [1 ,2 ]
Huo, Yu [1 ,2 ]
Wang, Zhi [3 ,4 ,5 ]
机构：
[1] School of Information and Control Engineering, China University of Mining and Technology, Xuzhou,221116, China
[2] The State and Local Joint Engineering Laboratory of Perception Mine, China University of Mining and Technology, Xuzhou,221116, China
[3] School of Safety Engineering, China University of Mining and Technology, Xuzhou,221116, China
[4] Civil Aircraft Fire Science and Safety Engineering Key Laboratory of Sichuan Province, Guanghan,618300, China
[5] China Academy of Safety Science and Technology, Beijing,100012, China
来源：
Batteries | 2024年 / 10卷 / 11期
关键词：
This research was funded by the Department of Science and Technology of Anhui Province (2022CSJGG0703); National Natural Science Foundation of China (No. 52204253); the Opening Foundation of Civil Aircraft Fire Science and Safety Engineering Key Laboratory of Sichuan Province (MZ2023KF06); the Fundamental Research Funds for the Central Universities (2021ZDPY0208). Dr. Zhi Wang is funded by the Jiangsu Provincial Double-Innovation Doctor Program (No. 140923027); and the China Postdoctoral Science Foundation (2023M733766);
D O I：
10.3390/batteries10110390
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