Development of a Control Strategy for Complex Light-Duty Diesel-Hybrid Powertrains 2011-24-0076
Hybrid Electric Vehicles (HEVs) represent a powerful technology
to save fuel and reduce CO₂ emissions, through the synergic use of
a conventional internal combustion engine and one or more electric
machines. However their performance strongly depends on the control
strategy that shares the power demand among the engine and the
electric motors at each time instant, with the objective of
minimizing a pre-defined cost function over an entire driving
cycle, and satisfying, at the same time, any additional
constraints.
The aim of this work is therefore the definition of a
methodology to develop, through numerical simulation, a sub-optimal
hybrid powertrain controller: starting from the problem definition,
the ideal performance for a case study hybrid architecture was
analyzed through a global optimization algorithm in order to point
out information which can be used to define new control laws.
Coupling this information with an approach based on the
instantaneous minimization of a cost function, a sub-optimal energy
management system was then developed trying to merge the strength
of global optimization algorithm with the low computational
requirements of heuristic strategies.
Finally, the powertrain controller previously developed was
implemented in a detailed vehicle model and tested through
numerical simulations over different driving cycles in order to
compare its performance with the upper bound set by the results
achieved by the global optimization algorithm.
Citation: Millo, F., Rolando, L., and Servetto, E., "Development of a Control Strategy for Complex Light-Duty Diesel-Hybrid Powertrains," SAE Technical Paper 2011-24-0076, 2011, https://doi.org/10.4271/2011-24-0076. Download Citation
