Increasing performance demands on combustion engines for reduced fuel consumption and emissions, as well maintenance of satisfactory driveability, require improved processes for control of combustion and exhaust. In addition to structural changes, research suggests these goals can be achieved by higher variability supported by better actuators and sensors. So modern engines incorporate more manipulation variables and sensors and a complex electronic controls. The design of the many control and also diagnostic functions requires model-based methods taking into account mechatronic engineering principles.

This book treats physically-based as well as experimentally-refined engine models for gasoline and diesel engines and uses them to exemplify the design of various advanced control systems. The procedures, from measurements through simulation to calibration on test benches, are systematically described and demonstrated. The treatment spans not only the stationary but also the dynamic behavior of engines. Several new control regimens are detailed, such as multivariable feedforward and feedback control based on nonlinear net models, combustion pressure and HCCI control. Many new results with signal and process model-based fault diagnosis are used to show how on-board fault diagnosis can be considerably improved.

The book is directed at advanced students working in control, electrical, mechanical and mechatronic engineering and will also be useful for practicing engineers in the field of engine and automotive engineering.