Optimum torque distribution during regenerative braking in a fully electrical vehicle via dynamic programming
Yükleniyor...
Tarih
2023-10-28
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In electric vehicles, it is important to maximize their regenerative braking performances for obtaining longer driving distances. In this study, for an electric vehicle having motors on the front and rear axles, an optimum torque distribution algorithm based on dynamic programming method is proposed for maximizing the regenerative braking energy. Electric motor limits, efficiency maps, battery model and braking force constraints given in the European regulations are considered in the proposed algorithm. The dynamic programming algorithm code and simulation studies for different braking scenarios are carried out via MATLAB. Simulation studies show that via the proposed torque distribution algorithm, significant improvements in the regenerated braking energy are obtained with respect to the fixed-rate torque distribution algorithm.
Açıklama
ACKNOWLEDGMENT The authors gratefully acknowledge support of the Turkish National Research Council (TUBITAK) under grant no: 122M994.
Anahtar Kelimeler
Dynamic programming, Energy efficiency, Fully electric vehicle, Regenerative braking, Torque distribution, Electric vehicles, MATLAB, Secondary batteries, Torque, Traction motors, Distribution algorithms, Driving distance, Dynamic programming methods, Efficiency maps, Electrical vehicles, ON dynamics, Regenerative braking energies, Simulation studies
Kaynak
7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
WoS Q Değeri
Scopus Q Değeri
N/A
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Sayı
Künye
Ergün, Ö., Çaycı, N. O., Dinçmen, E. & İstif, İ. (2023). Optimum torque distribution during regenerative braking in a fully electrical vehicle via dynamic programming. Paper presented at the 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 1-6. doi:10.1109/ISMSIT58785.2023.10304931
