文献类型：期刊文献

英文题名：Research of MH-Ni battery state of charge estimation based on grey system neural network model

作者：Long, Jianxiong[1]

第一作者：龙建雄

通讯作者：Long, J.

机构：[1] College of Applied Science and Technology, Beijing Union University, Beijing 102200, China

第一机构：北京联合大学应用科技学院

年份：2011

卷号：66-68

起止页码：583-587

外文期刊名：Applied Mechanics and Materials

收录：EI(收录号：20113214223280)

语种：英文

外文关键词：Forecasting - Secondary batteries - System theory - Battery management systems - Charging (batteries)

摘要：In order to effectively achieve MH-Ni battery state of charge estimation, grey system neural network model is put forward to predict battery state of charge by using the parameters of battery pulse current response signal as input for grey system neural network. The state of charge is as the network output and the response parameters of the battery pulse current as the input. The results show that its prediction accuracy of the state of charge can be achieved to requirements of the electric vehicles in applications by this method to predict the state of charge. ? (2011) Trans Tech Publications, Switzerland.