Article ID Journal Published Year Pages File Type
565026 Signal Processing 2006 13 Pages PDF
Abstract

This paper deals with the application of fractional system identification to lead acid battery state of charge estimation. Fractional behavior of lead acid batteries is justified. A fractional system identification method recently developed is presented and a new fractional model of the battery is proposed. Based on parameter variations of this model, a state of charge estimation method is presented. Validation tests of this method on unknown state of charge are carried out. These validation tests highlights that the proposed estimation method gives a state of charge estimation with an error close to 5% whatever the operating temperature.

Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
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