Using Grey model to Predict lithium-Ion Battery discharge behavior

Chuan Sheng Liu, Liang Rui Chen

研究成果: Article

3 引文 (Scopus)

摘要

In this paper, the study of Li-ion battery discharge voltage predicting using Grey model is presented. A test-bed for the battery discharge predicting is designed and devised. By utilizing this test-bed, the discharge condition for discharging Li-ion battery can be easily set and the data of the discharged Li-ion battery can be simultaneously obtained. Experimental results show that the GM(1,1) Grey model can precisely predict the Li-ion battery voltage curve as theory predicts. The result is greatly helpful for engineers to design a Grey-Predicted Battery Monitoring System (GP-BMS).

原文English
頁(從 - 到)1040-1044
頁數5
期刊International Review of Electrical Engineering
5
發行號3
出版狀態Published - 2010 一月 1

指紋

Electric potential
Engineers
Lithium-ion batteries
Battery management systems

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

引用此文

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abstract = "In this paper, the study of Li-ion battery discharge voltage predicting using Grey model is presented. A test-bed for the battery discharge predicting is designed and devised. By utilizing this test-bed, the discharge condition for discharging Li-ion battery can be easily set and the data of the discharged Li-ion battery can be simultaneously obtained. Experimental results show that the GM(1,1) Grey model can precisely predict the Li-ion battery voltage curve as theory predicts. The result is greatly helpful for engineers to design a Grey-Predicted Battery Monitoring System (GP-BMS).",
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Using Grey model to Predict lithium-Ion Battery discharge behavior. / Liu, Chuan Sheng; Chen, Liang Rui.

於: International Review of Electrical Engineering, 卷 5, 編號 3, 01.01.2010, p. 1040-1044.

研究成果: Article

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