Controller Design Enabling Automated and Fuel-Efficient Driving Strategies for Heavy Duty Vehicles in Urban Environments
The automative industry drives the development towards more autonomous vehicles,
this because of both safety and energy conservation reasons. This thesis
focuses on solutions to lower the fuel consumption for heavy duty vehicles, which
is more and more requested. Both due to increasing fuel costs and to greater environmental
awareness.
Through extensive simulations with a vehicle model, developed at and provided
by Scania CV AB, different driving strategies are evaluated and analysed. This
determined how to achieve a low fuel consumption when driving heavy vehicle
in an urban environment.
The simulations shows that the fuel consumption can be lowered by coasting the
vehicle when deceleration and thus minimize the use of the brakes. One should
also when possible, select a higher gear to lower the fuel consumption due to engine
friction.
These strategies are used to develop a controller which lowers the fuel consumption
without increasing the trip time for the vehicle. The controller is able to
alter the velocity of the vehicle within a reference window which results in both
a lower fuel consumption and a shorter trip time for the driving cycle used.
Erik Eneroth
2015
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Last updated: 2021-11-10
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