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Title: Modelling and analysis of automotive drive cycles for improved fuel economy
Author: Best , Robert David
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2013
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This study applies the process of drive cycle simulation to analyse the fuel efficiency of both drivers and the vehicles they drive. Over 200 drive cycles were recorded in ten different vehicles in and around Belfast using a portable datalogger. All drive cycles are analysed to show how they diffe r and the effects this may have. Three modelling techniques are then used to create vehicle models. A spread sheet model, a more detailed backward facing Simulink model and then a forward facing model using AVL CRUISE are developed. A coast down technique was developed to calculate rolling and mechanical resistance and check vehicle mass and drag coefficients. The final step in the validation process sees the creation of SFC maps. The drive cycle data and vehicle models are then combined to study both the influence of the driver and vehicle technology. The driver study showed that aggressive driving can add a fuel economy penalty of up to 50%; Up-shifting around 1800 RPM can save up to 20% fuel economy; that drivers are particularly poor in Urban conditions and that road elevation can contribute up to a 30% fuel economy penalty. The vehicle technology study showed that a 20% reduction in rolling resistance, mass and drag coefficient would see fuel economy savings of 3.5%, 5% and 4.5% respectively; Repositioning the power curve by a reduction of 100 to 200 RPM can yield a fuel economy improvement of over 4% for Extra-Urban condit ions or over 20% for Urban drive cycles; Adding a mechanical flywheel to a vehicle could save upwards of 25% fuel economy. The study concludes with an industrial appli cation analysing the performance and fuel economy of the DUKW amphibious buses operating on the Viking Tours in Dublin and makes suitable recomondations for building replacement powertrains using the tools developed.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available