Comparing Dynamic Programming Optimal Control Strategies for a Series Hybrid Drivetrain

Paper #:
  • 2017-01-2457

Published:
  • 2017-10-08
Abstract:
A two dimensional Forward Dynamic Programming algorithm is evaluated in a series hybrid drive-train with the objective to minimize fuel consumption when look ahead information is available. The algorithm is compared to one dimensional approaches where the engine is operated at it’s optimum efficiency line in sustain with load following power demand, or with constant load in the optimum operating point where the system efficiency is highest. The work have included the engine speed target and generator power as control signals in a full drive train simulation model which is based on the Volvo Car Corporation VSIM tool. Lowest fuel consumption is obtained by the two dimensional approach, with 12% less fuel consumed in fuel consumption for the drive cycle analyzed compared to when the engine is operated at the maximum efficiency and even more fuel could be gained compared to the load following approach.
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