Engine-in-the-loop study of the stochastic dynamic programming optimal control design for a hybrid electric HMMWV

Abstract

This paper presents a Stochastic Dynamic Programming (SDP) methodology for automatic generation of an implementable hybrid control strategy, and addresses engine soot emissions during controller development by using an advanced Engine-In-the-Loop (EIL) setup. Coupling the real engine with the virtual driveline/vehicle enables application of fast analysers to characterise the impact of transients on engine emissions. The benefits of using the EIL for establishing driveability and soot emissions constraints, and subsequent application of the constraints for refining the SDP strategy is demonstrated through a study of a virtual parallel-hybrid system for the High-Mobility Multipurpose Wheeled Vehicle with a V8 6L engine.