DETERMINATION OF BATTERY STATE-OF-HEALTH VIA STATISTICAL CLASSIFICATION

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Communications Faculty of Sciences University Ankara Series A2-A3 Physical and Engineering
Volume:52 Issue:2
DETERMINATION OF BATTERY STATE-OF-HEALTH VIA STATISTICAL CLASSIFICATION

DETERMINATION OF BATTERY STATE-OF-HEALTH VIA STATISTICAL CLASSIFICATION

Authors : Cüneyt BARLAK, Yakup ÖZKAZANÇ

Pages : 1-9

View : 21 | Download : 8

Publication Date : 2010-10-01

Article Type : Research Paper

Abstract :This work proposes a methodology for determining the state-of-health insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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
Keywords : Rechargeable battery, battery state of health, quadratic discriminant analysis, Bhattacharyya distance

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