This work proposes a methodology for determining the state-of-health (SOH) of rechargeable batteries. A generic electrical circuit model is used as a rechargeable battery model. Model parameters are identified by an algorithm based on extended Kalman filtering (EKF). Estimated battery parameters are used as classification features in quadratic discriminant analysis. Classification performance of the proposed method is investigated by using the concept of Bhattacharyya distance
Primary Language | English |
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Journal Section | Research Articles |
Authors | |
Publication Date | October 1, 2010 |
Published in Issue | Year 2010 Volume: 52 Issue: 2 |
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
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