Data-Driven Air-Fuel Path Control Design for Robust RCCI Engine Operation

Reactivity controlled compression ignition (RCCI) is a highly efficient and clean combustion concept, which enables the use of wide range renewable fuels. Consequently, this promising dual fuel concept great interest for realizing climate neutral future transport. RCCI very sensitive operating conditions requires advanced control strategies to guarantee stable safe operation. For real-world implementation, we face challenges related transients varying ambient conditions. Currently, multivariable air–fuel path controller that can robust engine operation lacking. In work, present controller, combines static decoupling diagonal MIMO feedback controller. design, frequency domain-based approach presented, explicitly deals with cylinder-to-cylinder variations using data-driven, cylinder-individual models. This systematic trade-off between fast performance gives clear design criteria The developed demonstrated on six-cylinder diesel-E85 engine. From experimental results, it concluded accurately tracks five desired air parameters, simultaneously. studied transient cycle, results in 12.8% reduction NOx emissions peak in-cylinder pressure rise rates are reduced by 3.8 bar/deg CA. Compared open-loop control, increased from 25 °C up 35 intake manifold temperature maximal load 14.7% BMEP = 14.8 bar.