A study of Li-ion Battery Charge Forecasting Using Grey Theory

L. R. Chen, C. H. Lin, R. C. Hsu, B. G. Ku, C. S. Liu

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this paper, a study of Li-ion battery charge forecasting using Grey theory is presented. A test-bench system for the battery charge forecasting is designed and built. Using this test-bench system, the charge condition for charging Li-ion battery can be easily set and the data of the charged Li-ion battery can be obtained, simultaneously. Experimental results show that the GM(1,1) model can actually predict the Li-ion battery voltage curve when its sampling period is smaller than the safe sampling period. How the safe sampling period determined is presented, and a mathematical formula is for determining the safe sampling period successfully obtained in this paper. Finally, a test example is implemented to assess this proposed Li-ion battery charging forecast method. The experimental results are very attractive as theory predicts.

Original languageEnglish
Pages (from-to)744-749
Number of pages6
JournalINTELEC, International Telecommunications Energy Conference (Proceedings)
Publication statusPublished - 2003 Dec 1

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Sampling
Charging (batteries)
Lithium-ion batteries
Electric potential

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

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A study of Li-ion Battery Charge Forecasting Using Grey Theory. / Chen, L. R.; Lin, C. H.; Hsu, R. C.; Ku, B. G.; Liu, C. S.

In: INTELEC, International Telecommunications Energy Conference (Proceedings), 01.12.2003, p. 744-749.

Research output: Contribution to journalArticle

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