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Abstract |
A real-time fuel-optimal cruise controller for heavy trucks using road topography information
New and exciting possibilities in vehicle control are revealed by
the consideration of topography, for example through the combination
of GPS and three dimensional road maps. How information about future
road slopes can be utilized in a heavy truck is explored. The aim is
set at reducing the fuel consumption over a route without increasing
the total travel time. A model predictive control (MPC) scheme is used to control the
longitudinal behavior of the vehicle, which entails determining
accelerator and brake levels and also which gear to engage. The
optimization is accomplished through discrete dynamic programming. A
cost function that weighs fuel use, negative deviations from the
reference velocity, velocity changes, gear shifts and brake use is
used to define the optimization criterion. Computer simulations back and forth on 127 km of a typical highway
route in Sweden, show that the fuel consumption in a heavy truck can
be reduced with 2.5% with a negligible change in travel time.
Erik Hellström, Anders Fröberg and Lars Nielsen
2006
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Senast uppdaterad: 2021-11-10
