Study of Battery State-of charge Estimation for Hybrid Electric Vehicles

摘要：

Aiming at the identification problem of battery state of charge (SOC) in hybrid electric vehicle, the neural network method is applied on the battery SOC estimation to build the power battery model based on radial basis function (RBF) after considering the nonlinear relationship between the battery state of charge and the observable external characteristics. Two simulation experiments were done under the situation of constant current charging and discharging mode and dynamic vehicle driving mode. The results show that the proposed SOC estimation method is feasible and of high estimation accuracy.

关键词： neural network radial basis funtion battery SOC ADVISOR

作者: Zhou Yongqin Zhang Yanming Zhao Pengshu Han Chunli

作者单位: College of Electrical & Electric Engineering Harbin University of Science and Technology Harbin,China

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 287-290

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）