Estimation on state of charge of power battery based on rebound voltage

被引:0
|
作者
Chen, Lun-Qiong [1 ]
Du, Lu-Lu [2 ]
Li, Bei [1 ]
机构
[1] Changzhou Institute of Technology, School of Electronic Information and Electrical Engineering, Changzhou, China
[2] WuWei Occupational College, School of Electronic Information, Wuwei, China
关键词
Battery management systems - Charging (batteries) - Secondary batteries - Forecasting;
D O I
暂无
中图分类号
TM912 [蓄电池];
学科分类号
摘要
This paper proposed a measuring parameter rebound voltage to realize real-time accurate estimation for state of charge (SOC) of power battery. On the basis of experimental data of SOC, rebound voltage and discharge current, a method which combined the features of grey prediction model and BP neural network prediction model was used to predict the data of SOC. By comparing the prediction data with practical data, the grey neural network method can achieve less error and the prediction accuracy is improved significantly. © Sila Science. All rights reserved.
引用
收藏
页码:6531 / 6538
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