Intelligent prognostics for battery health monitoring based on sample entropy
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
Abstract -In this paper, an intelligent aging estimation method based on Sample Entropy (SampEn) is proposed for the lead-acid batteries serially connected in a string. This method can prevent the potential battery failure and guarantee the battery availability. Since SampEn can quantify the regularity of a data sequence, it can serve as an indicator for the aging or degradation of the lead-acid battery. The salient feature of the proposed method is that aging of the individual battery is estimated automatically at the end of each discharge cycle by only measuring individual battery voltage in a string of batteries, so that no complicated measurement is required. To verify the proposed SampEn based aging estimation method, aging experiments for lead-acid batteries are developed. The experimental results show that the proposed intelligent aging estimation method provides the expected results.