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Isermann R. Engine Modeling and Control: Modeling and Electronic Management of Internal Combustion Engines

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Isermann R. Engine Modeling and Control: Modeling and Electronic Management of Internal Combustion Engines
Berlin: Springer-Verlag, 2014. — 637 p. — ISBN: 3642399339.
The increasing demands for internal combustion engines with regard to fuel consumption, emissions and driveability lead to more actuators, sensors and complex control functions. A systematic implementation of the electronic control systems requires mathematical models from basic design through simulation to calibration.
The book treats physically-based as well as models based experimentally on test benches for gasoline (spark ignition) and diesel (compression ignition) engines and uses them for the design of the different control functions. The main topics are:
Development steps for engine control.
Stationary and dynamic experimental modeling.
Physical models of intake, combustion, mechanical system, turbocharger, exhaust, cooling, lubrication, drive train.
Engine control structures, hardware, software, actuators, sensors, fuel supply, injection system, camshaft.
Engine control methods, static and dynamic feedforward and feedback control, calibration and optimization, HiL, RCP, control software development.
Control of gasoline engines, control of air/fuel, ignition, knock, idle, coolant, adaptive control functions.
Control of diesel engines, combustion models, air flow and exhaust recirculation control, combustion-pressure-based control (HCCI), optimization of feedforward and feedback control, smoke limitation and emission control.
This book is an introduction to electronic engine management with many practical examples, measurements and research results. It is aimed at advanced students of electrical, mechanical, mechatronic and control engineering and at practicing engineers in the field of combustion engine and automotive engineering.
Historical developments.
Current engine developments.
Engine control and diagnosis.
Control-oriented subdivision of combustion engines.
Contents of this book.
Engine Modeling and Identification Methods.
On theoretical modeling of multiple-domain processes.
Theoretical and experimental modeling.
Process elements from different domains.
Basic equations.
Time-dependent and rotation-angle-dependent models.
Semi-physical models.
Experimental modeling of engines.
Identification methods for the stationary behavior of nonlinear processes.
Process identification methods for dynamic processes.
Local and global engine models.
Stationary identification procedures on test benches.
Dynamic identification procedures on test benches.
Combined online identification procedures on test benches.
Model analysis and validation.
Examples for engine identification.
Engine Models.
General combustion engine models.
Intake systems.
Mechanical system.
Exhaust system.
Heat exchangers.
Cooling system.
Lubrication system.
Drive-train dynamics and surge damping.
Engine Control.
Engine control structure and components.
Engine control structures and function blocks.
Actuators and drives.
Mechatronic components.
Fuel supply and injection system.
Variable valve timing system.
Engine-control methods and calibration.
Engine-oriented electronic control design.
Basic control structures.
Linear feedforward control.
Linear feedback control.
Nonlinear static engine feedforward control.
Nonlinear dynamic engine control.
Digital control.
Conventional and model-based engine-control design and calibration.
Optimization methods.
Test benches.
Model-based control-function development with special design and simulation tools.
Control software development.
Control of gasoline engines.
Gasoline engine control structure.
Air/fuel- and catalytic converter control.
Ignition feedforward control.
Ignition feedback control.
Combustion pressure-based ignition control.
Knock control.
Idle speed control.
Variable valve trains (VVT).
Alternative combustion processes.
Coolant temperature control.
Oil pressure control.
Control of diesel engines.
Diesel engine control structure.
Combustion models for diesel engines.
Optimization of steady-state feedforward control of diesel engines.
Optimization of dynamic feedforward control.
Air flow and charging pressure control with exhaust gas recirculation – an in-depth case study.
Combustion-pressure-based heat release control.
Alternative combustion processes (HCCI) with pressure-based control.
Smoke limitation control.
Emission control.
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