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 language | English |
|---|---|
| Pages (from-to) | 744-749 |
| Number of pages | 6 |
| Journal | INTELEC, International Telecommunications Energy Conference (Proceedings) |
| Publication status | Published - 2003 Dec 1 |
| Event | The 25th International Telecommunications Energy Conference - Yokohama, Japan Duration: 2003 Oct 19 → 2003 Oct 23 |
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All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering