A Simplified Fuel Efficient Predictive Cruise Control Approach
Sprache des Titels:
SAE World Congress
Adaptive cruise control (ACC) systems allow a safe and reliable
driving by adapting the velocity of the vehicle to velocity setpoints
and the distance from preceding vehicles. This substantially reduces
the effort of the driver especially in heavy traffic conditions.
However, standard ACC systems do not necessarily take in account
comfort and fuel efficiency. Recently some work has been done of the
latter aspect. This paper extends previous works for CI engines by
incorporating a prediction model of the surrounding traffic and a
simplified control law capable for real time use in experiments. The
prediction model itself uses sinusoidal functions as the traffic
measurements often show periodic behavior and is adapted in every
sample instant with respect to the predecessor's velocity.
Furthermore, the controlled vehicle is forced to stay within a specific
inter-vehicle distance corridor to avoid collisions and ensure safe
driving. The main advantage of the proposed approach is a simple
and fast real time capable implementation, not only for a specific
engine type but for a wide range of engines. Simulation and
experimental results show great potential concerning an increase in
fuel economy in the range of 10% and also reduction of emissions
like NOx and particulate matter compared to the preceding vehicle.