Yıl: 2020 Cilt: 4 Sayı: 2 Sayfa Aralığı: 98 - 104 Metin Dili: İngilizce DOI: 10.30939/ijastech..717097 İndeks Tarihi: 17-09-2020

Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes

Öz:
In this study, an electric vehicle model, which has 75kW AC asynchronousengine and 25kW Nickel-metal hydride (Nimh) batteries, has been composed bymeans of (ADVISOR-Advanced Vehicle Simulator) program. During the driving cycle formed for the designed electric vehicle, charging state of batteries,braking losses, battery temperatures and fuel consumption have been analyzed atdifferent road slopes. The study has shown that power to batteries is provided byregenerative braking at all slopes and if the slope is downhill, more energy isstored into batteries due to regenerative braking. In simulation of the modelleddevice, maximum brake power loss of 4.43 kW has decreased at road slope of∝= −%1.5 by means of regenerative recovery. At road slope of 𝛼 = −4.5,the highest charging level has been obtained as 99.1%. With regenerated recovery, 𝛼 = −4.5, 𝛼 = 0, 𝛼 = 4.5 on road slopes % 57, % 5, % 2 fuel savingshave been achieved respectively.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA KUNT M (2020). Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. , 98 - 104. 10.30939/ijastech..717097
Chicago KUNT MEHMET AKİF Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. (2020): 98 - 104. 10.30939/ijastech..717097
MLA KUNT MEHMET AKİF Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. , 2020, ss.98 - 104. 10.30939/ijastech..717097
AMA KUNT M Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. . 2020; 98 - 104. 10.30939/ijastech..717097
Vancouver KUNT M Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. . 2020; 98 - 104. 10.30939/ijastech..717097
IEEE KUNT M "Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes." , ss.98 - 104, 2020. 10.30939/ijastech..717097
ISNAD KUNT, MEHMET AKİF. "Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes". (2020), 98-104. https://doi.org/10.30939/ijastech..717097
APA KUNT M (2020). Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. International Journal of Automotive Science and Technology, 4(2), 98 - 104. 10.30939/ijastech..717097
Chicago KUNT MEHMET AKİF Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. International Journal of Automotive Science and Technology 4, no.2 (2020): 98 - 104. 10.30939/ijastech..717097
MLA KUNT MEHMET AKİF Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. International Journal of Automotive Science and Technology, vol.4, no.2, 2020, ss.98 - 104. 10.30939/ijastech..717097
AMA KUNT M Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. International Journal of Automotive Science and Technology. 2020; 4(2): 98 - 104. 10.30939/ijastech..717097
Vancouver KUNT M Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. International Journal of Automotive Science and Technology. 2020; 4(2): 98 - 104. 10.30939/ijastech..717097
IEEE KUNT M "Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes." International Journal of Automotive Science and Technology, 4, ss.98 - 104, 2020. 10.30939/ijastech..717097
ISNAD KUNT, MEHMET AKİF. "Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes". International Journal of Automotive Science and Technology 4/2 (2020), 98-104. https://doi.org/10.30939/ijastech..717097