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SAE International Journal of Commercial Vehicles
Article . 2010 . Peer-reviewed
Data sources: Crossref
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Drivability Analysis of Heavy Goods Vehicles

Authors: Abuasaker S.; Sorniotti A.;

Drivability Analysis of Heavy Goods Vehicles

Abstract

<div class="section abstract"><div class="htmlview paragraph">The paper presents linear and non-linear driveline models for Heavy Goods Vehicles (HGVs) in order to evaluate the main parameters for optimal tuning, when considering the drivability. The implemented models consider the linear and non-linear driveline dynamics, including the effect of the engine inertia, the clutch damper, the driveshaft, the half-shafts and the tires. Sensitivity analyses are carried out for each driveline component during tip-in maneuvers. The paper also analyses the overall frequency response using Bode diagrams and natural frequencies.</div><div class="htmlview paragraph">It is demonstrated that the most basic model capable of taking into account the first order dynamics of the driveline must consider the moments of inertia of the engine, the transmission and the wheels, the stiffness and the damping properties of the clutch damper, driveshaft and half-shafts, and the tires (which link the wheel to the equivalent inertia of the vehicle). The results show that the first natural frequency of the drivetrain increases as a function of the half-shaft stiffness and the gear number, and the overall damping decreases as a function of the longitudinal slip stiffness of the tire. The vehicle payload has a significant effect not only on the steady-state acceleration, but also on the overall system dynamics (frequencies and damping).</div></div>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
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