Fuel Consumption Estimation for Vehicle Configuration Optimization
Fuel consumption is one of the factors that are considered when deciding a vehicle’s
optimal specification. In order to swiftly estimate the fuel consumed during
real world driving scenarios, a simulation tool has been developed that is well
suited for vehicle configuration exploration applications. The simulation method
described in this paper differs from the static calculation method currently in use
at Scania cv since the dynamic translation of the vehicle is considered, yet the
simulation time is kept low. By adopting a more dynamic approach, the estimation
accuracy is increased and simulation of fuel saving technology, e.g. intelligent
driver support system, is enabled.
In this paper, the modeling and implementation process is described. Different
approaches is discussed and the choices made during the development is presented.
In order to achieve a low simulation time and obtain a good compatability
with Scania’s current software application, some of the influencial factors have
been omitted from the model or described using simple relations. The validation
of the fuel consumption estimation indicates an accuracy within three percent
for motorway driving.
Utilizing the newly devised simulation tool, a look-ahead cruise controller has
been implemented and simulated. Instead of continuously finding the optimal
control signals during the driving scenario like most look-ahead controllers, a dynamic
programming algorithm is used to find a fuel efficient speed profile for the
entire route. The speed profile is used as the reference speed for a conventional
cruise controller and comparison with another simulation tool indicates that this
is a fast and accurate way to emulate a real look-ahead controller.
Fredrik Söderstedt
2014
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