When statistics for commercial transport missions are studied, we can conclude that the fuel consumption, for a given route and cargo weight, can vary by as much as 50%, which indicates a unnecessary high total consumption. If vehicles are better specified and configured, a reduction of the fuel consumption up to 25% can be achieved for future vehicle generations. The purpose of this project is to provide a tool to make the next generation of vehicles more energy efficient by helping to design and configure vehicles for their actual use. This requires understanding of how the vehicles are used as well as understanding of the procedure of how vehicles are designed for assumed transport missions. The project will develop a way to describe vehicles use by introducing a novel description – Operating Cycles – that includes e.g. statistical variations. These will replace todays driving cycles like e.g. NEDC, which only includes one possible driving cycle, not a representative ensemble.
Professor at Applied Mechanics, Vehicle Engineering and Autonomous Systems
Doktorand at Applied Mechanics, Vehicle Engineering and Autonomous Systems
Funding years 2014–2017
Area of Advance
Chalmers Driving Force