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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
Classification performance of the proposed method is investigated by using the concept of Bhattacharyya distance
📌 3 Maddede Bu Makale
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Amaç & Hipotez:Öz This work proposes a methodology for determining the state-of-health (SOH) of rechargeable batteries.
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Temel Bulgular & Veri:A generic electrical circuit model is used as a rechargeable battery model.
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Sonuç & Katkı:Classification performance of the proposed method is investigated by using the concept of Bhattacharyya distance
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Anahtar Kelimeler Rechargeable battery · battery state-of-health · quadratic discriminant analysis
Özet
Öz 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
Anahtar kelimeler
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Bu Makaleye Atıf Yap
BARLAK, C., ÖZKAZANÇ, Y. (2010). DETERMINATION OF BATTERY STATE-OF-HEALTH VIA STATISTICAL CLASSIFICATION. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Cilt: 52 - Sayı: 2, 1–9. https://ajindex.com/articles/51193