BATTERY SOC ESTIMATION BASED ON MULTIVARIATE ADAPTIVE REGRESSION SPLINES

被引：0

作者：

Jin, Xing ^{[1
]}

Li, Bing-Yan ^{[1
]}

Zhang, Ya-Jun ^{[1
]}

机构：

[1] Chang Chun Univ Technol, Sch Elect & Elect Engn, Changchun 130012, Peoples R China

来源：

2015 12TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2015年

关键词：

Lithium iron phosphate battery; SOC; multivariate adaptive regression spline;

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：

The voltage, current and temperature are used as input variables in this paper. The SOC estimation of the lithium iron phosphate battery is achieved by the method of multivariate adaptive regression splines (MARS). The data obtained by the test is standardized, which can be then used in the train of the SOC estimation mathematical model. After that the model is verified. The simulation results show that the proposed method can improve the accuracy of SOC estimation.

引用

页码：111 / 114

页数：4