Characterization of drivers’ energetic efficiency: Identification and evaluation of driving parameters related to energy efficiency

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/185531
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Type: Examensarbete för masterexamen
Master Thesis
Title: Characterization of drivers’ energetic efficiency: Identification and evaluation of driving parameters related to energy efficiency
Authors: Maisonneuve, Mathieu
Abstract: Fuel efficiency has become a very important objective in the automotive industry, and especially in the truck industry. While the price of fuel is increasing, the need to ensure timely deliveries of goods is still high. While engineers are working hard to improve the global powertrain efficiency, a lot can be done by changing drivers’ behaviour. This approach is called eco-driving and refers to the driver’s possibility of using the truck’s kinetic energy in an efficient way, e.g. by accelerating softer or anticipating traffic to plan the driving A state-of-the-art review in terms of current eco-driving system is included, covering systems developed for different hardware platforms and using different technologies. Then, this study identifies driving parameters relevant for eco-driving, based on previous research and using a dataset collected on-road in dedicated experiments. The aim for this part has been to establish correlations between efficient driving and drivers’ behaviour. Further, drivers’ behaviour with respect to different road events, such as different curve radii, roundabouts or road altitude variation, is assessed in relation to driving-efficiency. Finally, drivers are ranked with respect to driving-efficiency using a grading system based on relevant driving parameters. The results show that the ability to limit the speed variations was the most important for driving-efficiency, as expected, but also the variations of angle on both throttle and brake pedals were identified as relevant. This work can be used as a platform for application of similar methods to larger sets of data and preferably using naturalistically collected driving. Keywords: Fuel efficiency, Truck industry, Drivers’ behaviour, Eco driving, Correlation, Relevant driving parameters, Road events, Grading system
Keywords: Maskinteknik;Energi;Transport;Mechanical Engineering;Energy;Transport
Issue Date: 2013
Publisher: Chalmers tekniska högskola / Institutionen för tillämpad mekanik
Chalmers University of Technology / Department of Applied Mechanics
Series/Report no.: Diploma work - Department of Applied Mechanics, Chalmers University of Technology, Göteborg, Sweden : 2013:17
URI: https://hdl.handle.net/20.500.12380/185531
Collection:Examensarbeten för masterexamen // Master Theses



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