Abstract
The fuel economy benefits obtained with future complex gasoline combustion systems are not only determined by the system design characteristics, but often even more by sophisticated control functions and a precise calibration. Systems with an increased number of variabilities like stratified direct injection engines, turbo- or supercharged downsizing concepts or systems with controlled auto-ignition ("CAI" or "HCCI"), however, require a multidimensional optimization. Consequently, the efforts for calibration are increasing over proportional. It will be proven that with intelligent automation- and optimization algorithms such a complex task can be performed with optimum results even within reduced development time.