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Dive into the research topics where Andrew G. Simpson is active.

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Featured researches published by Andrew G. Simpson.


power electronics specialists conference | 2002

Lifecycle costs of ultracapacitors in electric vehicle applications

Andrew G. Simpson; Geoffrey R. Walker

The pulse power characteristics of ultracapacitors appear well suited to electric vehicle applications, where they may supply the peak power more efficiently than the battery, and can prevent excessive over sizing of the battery pack due to peak power demands. Operation of ultracapacitors in battery electric vehicles is examined for possible improvements in system efficiency, vehicle driving range, battery pack lifetime, and potential reductions in system lifecycle cost. The lifecycle operation of these ultracapacitors is simulated using custom-built, dynamic simulation code constructed in Matlab. Despite apparent gains in system efficiency and driving range, the results strongly suggest that the inclusion of ultracapacitors in the electric vehicle does not make sense from a lifecycle cost perspective. Furthermore, a comparison with results from earlier work shows that this outcome is highly dependant upon the efficiency and cost of the battery under consideration. However, it is likely that the lifecycle cost benefits of ultracapacitors in these electric vehicles would be, at most, marginal and do not justify the additional capital costs and system complexity that would be incurred in the vehicle.


Science & Engineering Faculty | 2005

Dynamic Simulation of a Light-Weight, Low-Drag, Hybrid-Electric Sports Coupe

Andrew G. Simpson; Geoffrey R. Walker; Matthew Greaves; Ben Guymer; D. A. Finn

The University of Queensland UltraCommuter concept is an ultra- light, low-drag, hybrid-electric sports coupe designed to minimize energy consumption and environmental impact while enhancing the performance, styling, features and convenience that motorists enjoy. This paper presents a detailed simulation study of the vehicles performance and fuel economy using ADVISOR, including a detailed description of the component models and parameters assumed. Results from the study include predictions of a 0-100 kph acceleration time of ≺9s, and top speed of 170 kph, an electrical energy consumption of ≺67 Wh/km in ZEV mode and a petrol-equivalent fuel consumption of ≺2.5 L/100 km in charge-sustaining HEV mode. Overall, the results of the ADVISOR modelling confirm the UltraCommuters potential to achieve high performance with high efficiency, and the authors look forward to a confirmation of these estimates following completion of the vehicle.


Future Transportation Technology Conference & Exposition | 2005

Validation of a parametric vehicle modelling tool using published data for prototype and production vehicles with advanced powertrain technologies

Andrew G. Simpson

PAMVEC is a novel vehicle modeling tool designed to complement the capabilities of dynamic vehicle simulators and be better-suited to the purposes of vehicle technology assessment. This paper presents a validation of PAMVEC against published data for a range of production and pre-production prototype vehicles whose powertrain technologies span the range currently being exhibited by automotive manufacturers. For each vehicle, the PAMVEC model was used to predict the fuel/energy consumption and required peak powertrain output due to acceleration performance. Errors typically <10% were observed in the validation results and were considered to be within the bounds of uncertainty in the input data. Despite the difficulty in obtaining some of the input data, PAMVEC was a convenient tool for the energy consumption and performance predictions included in this analysis. Copyright


Science & Engineering Faculty | 2003

A Parametric Analysis Technique for Design of Fuel Cell and Hybrid-Electric Vehicles

Andrew G. Simpson; Geoffrey R. Walker

This paper presents a new simplified parametric analysis technique for the design of fuel cell and hybrid-electric vehicles. The technique utilizes a comprehensive set of ∼30 parameters to fully characterize the vehicle platform, powertrain components, vehicle performance requirements and driving conditions. It is best applied to the sizing of powertrain components and prediction of energy consumption in a vehicle. This new parametric technique makes a good complement to existing vehicle simulation software packages and therefore represents a potentially valuable tool for the hybrid vehicle designer.


australasian universities power engineering conference | 2002

The UltraCommuter: A viable and desirable solar-powered commuter vehicle

Andrew G. Simpson; Geoffrey R. Walker; Matthew Greaves; D. A. Finn; Ben Guymer


australasian universities power engineering conference | 2003

Ironless wheel motor for a direct drive vehicle application

Matthew Greaves; Andrew G. Simpson; Ben Guymer; Geoffrey R. Walker; D. A. Finn


International Journal of Vehicle Autonomous Systems | 2003

Brake system performance requirements of a lightweight electric/hybrid rear wheel drive vehicle

J.T. Bray; Geoffrey R. Walker; Andrew G. Simpson; Matthew Greaves; Ben Guymer


australasian universities power engineering conference | 2006

Vehicle energy throughput analysis as a drivetrain motor design aid

Matthew Greaves; Geoffrey R. Walker; Andrew G. Simpson


Science & Engineering Faculty | 2001

Simulated lifecycle costs of ultracapacitors in battery electric vehicles

Andrew G. Simpson; Paul Sernia; Geoffrey R. Walker


AUPEC 2000 | 2000

Migrating to a sustainable energy system: Distributed generation and storage, fuel cells and hypercars

Andrew G. Simpson; Matthew Greaves; Geoffrey R. Walker

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Geoffrey R. Walker

Queensland University of Technology

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D. A. Finn

University of Queensland

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Geoff Walker

University of Queensland

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Paul Sernia

University of Queensland

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Zhao Yang Dong

University of New South Wales

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