Design of SOC online estimation system for Aviation Lithium Battery

被引：0

作者：

Yang, Dongjin ^{[1
]}

Xu, Daoming ^{[2
]}

Jiang, Lin ^{[1
]}

机构：

[1] Air Force Engn Univ, Aviat Maintenance NCO Acad, Xian, Peoples R China

[2] Air Force Early Warning Acad, Radar Sergeant Sch, Xinyang, Peoples R China

来源：

PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020) | 2020年

关键词：

Aviation lithium battery; SOC; BP neural network method; online estimation;

D O I：

10.1109/itnec48623.2020.9085166

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As an airborne emergency power supply, aviation lithium battery is the last line of defense for flight safety. In this paper, an online SOC estimation system was built based on improved BP neural network, and the initial weight and threshold of BP neural network were selected by GA-PS O algorithm. In addition, the acquisition of internal resistance parameters in the system was completed by the improved synchronous-sampling integration circuit. Through the experimental verification, the SOC online estimation system designed in this paper has high accuracy and reliability.

引用

页码：1765 / 1768

页数：4