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Elektrikli otomobillerde sürüş konforu için optimal batarya konumlarının lineer olmayan bir yarım taşıt süspansiyon modeli kullanılarak belirlenmesi.

Authors :
Özdemir, Mustafa
Erdoğan, Eralp Osman
Source :
Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. 2024, Vol. 39 Issue 1, p339-350. 12p.
Publication Year :
2024

Abstract

Battery is one of the largest contributors to the weight of electric vehicles, and its location directly affects the performance of the suspension system. The aim of this article is to determine the optimal battery locations for ride comfort of in-wheel-motor electric automobiles using a nonlinear vehicle suspension model. In the analyses, a seven-degree-of-freedom half-vehicle suspension model was used, in which cubic nonlinearities of all springs and dampers are taken into account in addition to their linear characteristics. In addition to spring and damper nonlinearities, all trigonometric nonlinearities are also considered in the model. Totally 144 different driving scenarios were generated with 48 different sinusoidal road profiles and 3 different travel speeds, and for each scenario by testing 36 battery locations along the vehicle's longitudinal axis, the optimal one was found. The optimization criterion is the minimization of the root-mean-square of the vertical acceleration of the driver and seat. As a result of the 5184 analyses carried out, it has been seen that the optimal battery location is the middle of the vehicle for road profiles with wavelengths between 0.2 and 5 m, whereas the rear of the vehicle for road profiles with wavelengths between 10 and 30 m. [ABSTRACT FROM AUTHOR]

Details

Language :
Turkish
ISSN :
13001884
Volume :
39
Issue :
1
Database :
Academic Search Index
Journal :
Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,
Publication Type :
Academic Journal
Accession number :
173242966
Full Text :
https://doi.org/10.17341/gazimmfd.1181623