DocumentCode
2245985
Title
The prediction method for battery open circuit voltage based on GM (1, 1) grey model
Author
Zeyuan, Li ; Yunlong, Shang ; Naxin, Cui ; Chenghui, Zhang
Author_Institution
School of Control Science and Engineering, Shandong University, Jinan 250061, China
fYear
2015
fDate
28-30 July 2015
Firstpage
1902
Lastpage
1906
Abstract
Open circuit voltage (OCV) of batteries is an important parameter for establishing a precise mathematical model. After charge or discharge, the change process of the battery terminal voltage is very close to the exponential change. Therefore, a prediction method based on GM (1, 1) grey model is proposed to obtain a precise OCV. Simulation and experiment results show that the voltage average relative error of this prediction method is below 0.0004 V and the mean square error ratio is below 0.4. It has higher precision than the exponential function prediction method. This prediction method for the OCV based on GM (1, 1) grey model is simple, robust, and has great significance for practical application.
Keywords
Batteries; Discharges (electric); Mathematical model; Mean square error methods; Modeling; Predictive models; 1) grey model; GM (1; Open circuit voltage (OCV); batteries; state of charge (SOC);
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7259923
Filename
7259923
Link To Document