- Communications Faculty of Sciences University Ankara Series A2-A3 Physical and Engineering
- Vol: 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 : 5 | Download : 5
Publication Date : 2010-10-01
Article Type : Research
Abstract :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 distanceKeywords : Rechargeable battery, battery state-of-health, quadratic discriminant analysis, Bhattacharyya distance