Year 2020, Volume 4 , Issue 2, Pages 98 - 104 2020-06-30

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

Mehmet Akif KUNT [1]


In this study, an electrical vehicle model, which has 75kW AC asynchronous engine and 25kW NiCad batteries, has been composed by means of (ADVISOR-Advanced Vehicle Simulator) programme. During the driving cycle formed for the designed electrical vehicle, charging state of batteries, braking losses, battery temperatures and fuel consumption have been analysed at different road slopes. The study has shown that power to batteries is provided by regenerative braking at all slopes and if the slope is downside, more energy is stored into batteries due to regenerative braking. In simulation of the modelled device, 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%.
ADVISOR, regenerative braking, electric vehicle, road slope, battery charge
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Primary Language en
Subjects Engineering
Journal Section Volumes
Authors

Orcid: 0000-0001-5710-7253
Author: Mehmet Akif KUNT (Primary Author)
Institution: DUMLUPINAR ÜNİVERSİTESİ
Country: Turkey


Dates

Application Date : April 9, 2020
Acceptance Date : May 23, 2020
Publication Date : June 30, 2020

Bibtex @research article { ijastech717097, journal = {International Journal of Automotive Science And Technology}, issn = {}, eissn = {2587-0963}, address = {Gazi Üniversitesi Teknoloji Fakültesi Otomotiv Mühendisliği Bölümü, Teknikokullar, Ankara}, publisher = {Otomotiv Mühendisleri Derneği}, year = {2020}, volume = {4}, pages = {98 - 104}, doi = {10.30939/ijastech..717097}, title = {Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes}, key = {cite}, author = {Kunt, Mehmet Akif} }
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 . DOI: 10.30939/ijastech..717097
MLA Kunt, M . "Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes" . International Journal of Automotive Science And Technology 4 (2020 ): 98-104 <https://dergipark.org.tr/en/pub/ijastech/issue/53507/717097>
Chicago Kunt, M . "Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes". International Journal of Automotive Science And Technology 4 (2020 ): 98-104
RIS TY - JOUR T1 - Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes AU - Mehmet Akif Kunt Y1 - 2020 PY - 2020 N1 - doi: 10.30939/ijastech..717097 DO - 10.30939/ijastech..717097 T2 - International Journal of Automotive Science And Technology JF - Journal JO - JOR SP - 98 EP - 104 VL - 4 IS - 2 SN - -2587-0963 M3 - doi: 10.30939/ijastech..717097 UR - https://doi.org/10.30939/ijastech..717097 Y2 - 2020 ER -
EndNote %0 International Journal of Automotive Science and Technology Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes %A Mehmet Akif Kunt %T Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes %D 2020 %J International Journal of Automotive Science And Technology %P -2587-0963 %V 4 %N 2 %R doi: 10.30939/ijastech..717097 %U 10.30939/ijastech..717097
ISNAD Kunt, Mehmet Akif . "Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes". International Journal of Automotive Science And Technology 4 / 2 (June 2020): 98-104 . https://doi.org/10.30939/ijastech..717097
AMA Kunt M . Advisor Based Modelling of Regenerative Braking Performance of Electric Vehicles at Different Road Slopes. ijastech. 2020; 4(2): 98-104.
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.