Atıf İçin Kopyala
Yavasoglu H. A., Tetik Y. E., Gokce K.
ENERGY, cilt.172, ss.1179-1186, 2019 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
172
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Basım Tarihi:
2019
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Doi Numarası:
10.1016/j.energy.2019.02.032
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Dergi Adı:
ENERGY
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus
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Sayfa Sayıları:
ss.1179-1186
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Anahtar Kelimeler:
Range estimation, Electric vehicle (EV), Decision tree, Machine learning, All-electric-range, Smart transportation, SYSTEM, EMISSIONS
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Yıldız Teknik Üniversitesi Adresli:
Evet
Özet
In this work, an advanced range estimation method based on experimental test data including environmental factors and dynamic vehicle parameters with driver and road type predictions is proposed for electric vehicles.