BATTERY CAPACITY ESTIMATION WITH INVERSE DISTANCE WEIGHTING

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Communications Faculty of Sciences University Ankara Series A2-A3 Physical and Engineering
Volume:52 Issue:1
BATTERY CAPACITY ESTIMATION WITH INVERSE DISTANCE WEIGHTING

BATTERY CAPACITY ESTIMATION WITH INVERSE DISTANCE WEIGHTING

Authors : Cüneyt BARLAK, Yakup ÖZKAZANÇ

Pages : 1-16

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Publication Date : 2010-05-01

Article Type : Research Paper

Abstract :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
Keywords : Rechargeable batteries, extended Kalman filtering, inverse distance weighting, estimation

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