Beschreibung

The increasing requirements on combustion engines like reduced fuel consumption and emissions as well as good driveability need an improvement of combustion and exhaust treatment processes and their control. This can be achieved by a higher variability with an increase of actuators and sensors in addition to structural improvements. Modern engines have therefore many manipulation variables and sensors and a complex electronic management. The design of the many control and also diagnosis functions requires model-based methods taking into account mechatronic engineering principles.
The book treats physically-based as well as experimentally-gained engine models for gasoline and diesel engines and uses them for the design of the different control systems. The procedure from measurements, over simulations to calibration on test benches is systematically described and demonstrated. Not only the stationary but also the dynamic behaviour of engines is taken into account. Several new control principles are shown, like 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 show, how on-board fault diagnosis can be considerably improved.
The book is oriented to advanced students working in control, electrical, mechanical and mechatronic engineering and will also be useful for practising engineers in the field of engine and automotive engineering.

Inhaltsangabe

Introduction.- Part I Engine Modeling and Identification Methods: Theoretical Modeling of Technical Processes.- Experimental Modeling of Engines.- Part II Engine Models: General Combustion Engine Models.- Part III Engine Control: Engine Control Structure and Components.- Engine Control and Calibration Tools.- Control of Gasoline Engines.- Control of Diesel Engines.- Part IV Appendix: Theoretical Modeling of Technical Processes (Additions).- Numerical Local Optimization Methods.- Special Identification and parameter Estimation Methods.

Klappentext

The introduction of mechatronic components for the powertrain, steering and braking systems opens the way to automatic driving functions. Together with internal and environmental sensors, various driver assistance systems are going to be developed for improving driving comfort and safety.
Automatic driving control functions suppose a well-designed vehicle behavior. In order to develop and implement the software-based control functions mathematical vehicle models for the stationary and dynamic behavior are required.
The book first introduces basic theoretically derived models for the tire traction and force transfer, the longitudinal, lateral, roll and pitch dynamic behavior and related components, like suspensions, steering systems and brakes.
These models have to be tailored to allow an identification of the many unknown parameters during driving, also in dependence of different road conditions, velocity and vehicle load. Based on these mathematical models drive dynamiccontrol systems are developed for semi-active and active suspensions, hydraulic and electromechanical brakes including ABS, traction and steering control. Then driver assistance systems like adaptive cruise control (ACC), electronic stability control (ESC), electronic course control and anti-collision control systems are considered. The anti-collision systems are designed and tested for emergency braking, emergency steering and avoiding of overtaking accidents.
The book is dedicated to automotive engineers as well as to graduate students of mechanical, electrical and mechatronic engineering and computer science.