Model-based development of combustion-engine control and optimal calibration for driving cycles: general procedure and application

Abstract

A systematic procedure for the model-based design of multi-variable control functions of internal combustion engines is described taking the stationary as well as the dynamic behavior into account. First, the workflow for the data-driven identification with test benches is described to result in stationary and dynamic nonlinear engine models. A multi-goal optimization then yields an optimal control with different criteria for fuel consumption and emissions. Then, as an example, the model-based control optimization of fuel consumption and emissions is considered with local and global quasi-stationary optimization for driving cycles, based on test measurements of a four-cylinder diesel engine, and including model uncertainties and series variations.