Research on Fault Diagnosis of Electric Vehicle Power Battery Based on Attribute Recognition

被引：0
|
作者：
Meng, Xianhai [1 ]
Gao, Hui [1 ]
Zhang, Weiguo [2 ]
Liang, Huamin [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Nanjing 210023, Peoples R China
[2] Guodian Nanrui Technol Co Ltd, Nanjing 211106, Peoples R China
来源：
2020 5TH ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2020) | 2020年
基金：
中国国家自然科学基金;
关键词：
Electric vehicle; Attribute recognition; Power battery; Fault diagnosis;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Along with the popularization of electric vehicles, electric vehicle power battery in the process of spontaneous combustion, a fire problem has occurred frequently, in order to reduce the electric car driving potential safety hazard in the process, in this paper, by using attribute recognition theory, this paper analyzes the reason of the electric vehicle power battery failure, using attribute recognition model of new energy in the process of the electric vehicle charging power battery fault, achieve rapid positioning of fault source, the guarantee of power battery in the process of the electric car driving safety.
引用
收藏
页码：1321 / 1325
页数：5
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