Using Grey model to Predict lithium-Ion Battery discharge behavior

Chuan Sheng Liu, Liang-Rui Chen

Research output: Contribution to journalArticle

3 Citations (Scopus)

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).

Original languageEnglish
Pages (from-to)1040-1044
Number of pages5
JournalInternational Review of Electrical Engineering
Volume5
Issue number3
Publication statusPublished - 2010 Jan 1

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Electric potential
Engineers
Lithium-ion batteries
Battery management systems

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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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.

In: International Review of Electrical Engineering, Vol. 5, No. 3, 01.01.2010, p. 1040-1044.

Research output: Contribution to journalArticle

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