Estimation of Power Battery SOC Based on Improved BP Neural Network

被引：0

作者：

Dong, Chao ^{[1
]}

Wang, Guanlan ^{[1
]}

机构：

[1] Tianjin Univ Technol, Tianjin Key Lab Control Theory & Applicat Complic, Tianjin, Peoples R China

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2014) | 2014年

关键词：

power battery; BP neural network; SOC;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the limitations and shortcomings of BP neural network in estimating the battery state of charge(State of Charge, SOC), such as slow convergence speed and poor generalization, this paper puts forward an improved BP neural network method of battery SOC estimation. Train the improved BP neural network with the experimental data. It compares the trained neural network of SOC with the real values, and uses Matlab to simulate in order to verify the correctness of the algorithm.

引用

页码：2022 / 2027

页数：6

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