Hybrid multi-objective MPC for fuel-efficient PCCI engine control

In the present paper the closed-loop control of an innovative combustion engine is investigated. The investigated combustion engine is characterized by the ability of handling different combustion modes, such as Premixed Charge Compression Ignition (PCCI), which are applied depending on the operating point. In the paper the challenges related to the increased complexity of the control algorithm and the corresponding calibration effort are addressed. For this reason a tailored hybrid multi-objective MPC algorithm is developed based on a piecewise affine (PWA) model. The MPC algorithm consists of a 2-staged approach, including a stationary and a dynamic optimization. With this algorithm a nonlinear optimization is performed in every time step considering the task of tracking reference values and minimizing values i.e. fuel consumption, such that the optimal combustion mode is chosen automatically. The developed algorithm is finally validated in simulation.