Battery State of Charge Estimation for Electric Vehicle Based on Neural Network

摘要：

Prediction of batterys remaining capacity is always a significant issue to which electric vehicle researchers paid close attention. Batteries of different types or the same type batteries of different model varies in prediction model of remaining capacity, the experts advice obtained from experiment is not so universal that it is significant to build and improve the prediction model of remaining capacity for batteries of different types. This article takes iron phosphate Li-ion battery as the object of study, based on charge-discharge performance test of iron phosphate Li-ion battery, introduces neural network method to build prediction model for remaining capacity of battery and verify the model with test data in the end.

关键词： Li-ion battery state of charge estimation the method of neural network

作者: Liu Rui-hao Sun Yu-kun Ji Xiao-fu

作者单位: College of Electronic and Information Engineering, Jiang Su University,Zhen Jiang,212013,P.R.China

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Computer Networks(ICICN 2011)(2011年信息与计算机网络国际会议)

会议地点: 贵阳

会议语种:英文

页码: 493-496

在线出版日期: 2011-01-26（万方平台首次上网日期，不代表论文的发表时间）