Research on Intelligent Diagnosis Strategy and Treatment Method of ev Charging Fault

被引：0
|
作者：
Gao, Hui [1 ]
Meng, Xianhai [1 ]
Qian, Kejun [2 ]
Zhang, Weiguo [3 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Nanjing 210023, Peoples R China
[2] State Grid Jiangsu Elect Power Co LTD, Suzhou Branch, Suzhou 215000, Peoples R China
[3] Guodian Nanrui Technol Co Ltd, Nanjing 211106, Peoples R China
来源：
CONFERENCE PROCEEDINGS OF 2019 5TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR) | 2019年
基金：
中国国家自然科学基金;
关键词：
electric cars; charging fault; intelligent diagnosis; thefault tree; LITHIUM-ION BATTERY; SAFETY;
D O I：
10.1109/iccar.2019.8813479
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With electric cars, large-scale development, in order to reduce the potential safety hazard in the process of electric vehicle charging, in this paper, by analyzing the power battery, charging pile, power supply equipment integration between safety mechanism, puts forward the integration of fault logic judgment business process, established a multistage equipment integration on-line fault diagnosis of the fault tree, making the integration of fault judging module and fault processing module, information mining and integrated warning index pretreatment technology is studied, which can effectively improve the electric car charging security, promote the healthy development of electric vehicles.
引用
收藏
页码：47 / 50
页数：4
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