This thesis presents an investigation into a novel method of estimating the trajectory (future direction and elevation) of a vehicle, and subsequently influencing the control of an engine. The technique represents a convenient and robust method of achieving road prediction, to form a fuzzy system that „looks ahead‟, leading potentially to improved fuel consumption and a consequent reduction in exhaust emissions. The work described in this thesis brings together two modern technologies, Neuro-fuzzy techniques and Global Positioning System, and applies them to engine/vehicle control.
Date of Award | Apr 2011 |
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Original language | English |
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Awarding Institution | |
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Intelligent techniques for improved engine fuel economy
Lee, S. (Author). Apr 2011
Student thesis: Doctoral Thesis