Li-ion battery parameters estimation using neural networks

被引：0
|
作者：
Boujoudar, Youness [1 ]
Hemi, Hanane [1 ]
El Moussaoui, Hassan [1 ]
El Markhi, Hassane [1 ]
Lamhamdi, Tijani [1 ]
机构：
[1] Sidi Mohamed Ben Abdellah Univ Fez, Fac Sci & Technol, Elect Engn Dept, LSSC, POB 2202, Fes, Morocco
来源：
2017 INTERNATIONAL CONFERENCE ON WIRELESS TECHNOLOGIES, EMBEDDED AND INTELLIGENT SYSTEMS (WITS) | 2017年
关键词：
Lithium-ion; battery; Neural network;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an offline parameters estimations for a Lithium-ion (Li-ion) battery. Neural Network (NN) has been used to estimate Li-ion battery parameters using an experimental charge and discharge tests at different temperatures between 24 degrees C and 40 degrees C provided by NASA [1].
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收藏
页数：4
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