This work presents a battery capacity estimation method based on inverse distance weighting multivariate interpolation. The proposed method uses a parametric approach based on a generic rechargeable battery model. Battery model parameters are estimated with an Extended Kalman Filtering based algorithm. Battery capacity estimation is performed with an inverse distance weighting multivariate interpolation model based upon the estimated battery parameters. The proposed method is tested against a set of Ni-Mh batteries and it is concluded that this method is feasible for practical applications
Primary Language | English |
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Journal Section | Research Articles |
Authors | |
Publication Date | May 1, 2010 |
Published in Issue | Year 2010 Volume: 52 Issue: 1 |
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
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