Hierarchical optimization of operational costs of a heavy-duty diesel engine and an exhaust aftertreatment system

In this work we present a hierarchical optimization scheme to minimize the overall operational costs of a heavy-duty diesel engine combined with a selective catalytic reduction (SCR) catalyst. The optimization variables of the hierarchical optimization scheme are setpoints of the underlying engine controller. The presented hierarchical optimization scheme follows a modular approach with the capability of constraint integration and inclusion of additional subsystems. Moreover, to reduce the computational load, a learning method is given to adapt the solution of the hierarchical optimization scheme. Simulation results illustrate the proposed approach.