Performance improvement of passive suspension of vehicles using position dependent damping
by Chandrashekhar S. Dharankar; Mahesh Kumar Hada; Sunil Chandel
International Journal of Vehicle Performance (IJVP), Vol. 4, No. 1, 2018

Abstract: This paper presents the analysis of position dependent damping (PDD) and a methodology for estimation of its parameters for passive suspension of vehicles. The time domain simulation of a quarter-car model with non-linear PDD is performed over the generated random road profile for different forward speeds of vehicle. The time domain response is transformed to frequency domain power spectral density (PSD) and root mean square (RMS) response is determined. Also, the time domain simulation with half sine bump is performed to obtain the bump response spectrum to evaluate the performance of vehicle suspension to transient road excitation. The performance of passive suspension with PDD is compared with that of linear damping in terms of ride comfort, suspension travel and road holding ability. It is shown that the concept of PDD has potential to improve the performance of vehicle suspension by minimising the well-known ride-handling conflict associated with passive suspensions.

Online publication date: Tue, 19-Dec-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Performance (IJVP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email