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

Liang-Rui Chen, C. H. Lin, R. C. Hsu, B. G. Ku, C. S. Liu

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)


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
EventThe 25th International Telecommunications Energy Conference - Yokohama, Japan
Duration: 2003 Oct 192003 Oct 23

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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