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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
The proposed method is tested against a set of Ni-Mh batteries and it is concluded that this method is feasible for practical applications
📌 3 Maddede Bu Makale
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Amaç & Hipotez:Öz This work presents a battery capacity estimation method based on inverse distance weighting multivariate interpolation.
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Temel Bulgular & Veri:The proposed method uses a parametric approach based on a generic rechargeable battery model.
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Sonuç & Katkı:The proposed method is tested against a set of Ni-Mh batteries and it is concluded that this method is feasible for practical applications
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Anahtar Kelimeler Rechargeable batteries · extended Kalman filtering · inverse distance weighting
Özet
Öz 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
Anahtar kelimeler
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Bu Makaleye Atıf Yap
BARLAK, C., ÖZKAZANÇ, Y. (2010). BATTERY CAPACITY ESTIMATION WITH INVERSE DISTANCE WEIGHTING. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Cilt: 52 - Sayı: 1, 1–16. https://ajindex.com/articles/51194