Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633064
Title: Vehicle ride modelling and simulation
Author: Abdollahi, Mehrzad
Awarding Body: University of Birmingham
Current Institution: University of Birmingham
Date of Award: 1997
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Abstract:
The work in this thesis is aimed primarily at developing a vehicle ride simulation program based on a generalised vehicle model formulation to evaluate the effect of various system parameters on the ride quality of a vehicle, and secondly to develop an optimisation scheme for determining the optimum setting of suspension parameters as related to ride comfort. The simulation program can accommodate the non-linearity of the suspension components such as tyres, shock absorbers and suspension springs. Based on a twin tube shock absorber in production, a damper model was developed. This damper model was included in a vehicle model and was run in parallel with the simulation program. A variety of vehicle models were developed and simulated in the time domain with various road obstacles such as half-sine, half-circle and ramp, and the results are presented. In order to improve the accuracy of the simulated response in the time domain, an attempt has been made to find the wheel envelope as it passes an obstacle. Based on a real car in production, two different vehicle models were developed and simulated in the frequency domain and the simulated responses were compared with those obtained from experiments. A series of tests were carried out on a test vehicle on the ride simulator and the transient responses were compared with those obtained from the simulation program. Attempts were made to improve the accuracy of the simulated response by inclusion of bilinear damper models in the simulation process. Several studies has been made to investigate the effect of various vehicle system parameter on the overall ride performance.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.633064  DOI: Not available
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