• Motori SUS, Semester 3, position 5

Acquiring new knowledge in the area of thermal piston machinery through analysis of the working cycle and particularities of piston compressors with reciprocating and rotational pistons. Broadening theoretical knowledge and analytical approach in the field of mathematical modelling and engine simulations through: model based fault diagnosis on various engine subsystems; Mean value models used in real-time engine control; Broadening knowledge in the area of automated engine mapping and calibration trough acquaintance with the state-of-the-art tools and techniques.

Built skills for proper selection, calculation and design of piston compressor units. Practical experience gathered through realization of model-based diagnosis system on IC Engine. Understanding of crucial Mean-value models used in Engine control; Practical experience in building and testing a small scale engine subsystem control application; Understanding and acquaintance with the state-of-the-art mapping and modeling tools, principles and procedures.

1. Particularities of the piston mechanism, kinematics and dynamics of piston compressor's piston mechanism; Crankcase force balancing in the multi cylinder / multi stage piston compressors; Compression of real gases, its mixtures and moist mixtures on high pressures; Real thermodynamic cycle of a piston compressor; Multi stage compression; Design and calculation of piston compressor parts; Auxiliaries and flow and pressure control systems; Maintenance issues. 2. Model based principles of technical system fault diagnosis; Model base fault diagnosis of engine subsystems (faults on engine's air path, mixture formation, cylinder processes inequalities, cylinder misfire,...) 3. Engine control algorithms; Mean-value models and their application in engine real time control 4. State-of-the-art methods in the engine mapping and calibration process. Problems and challenges of multi parameter optimization with multiple boundary conditions on modern SI and CI engines. Principles of model based calibration.

1. Building a code for piston compressor real working process simulation. A project task with a goal for proper determination of the piston compressor unit design concept, its design calculation. 2. Practical experience of building model based fault diagnosis system (detection of air path leaks or obstructions; detection of cylinder processes inequalities on a multi cylinder engine; misfire detection; model based real-time combustion parameter estimation) 3. Building an engine subsystem control system based on the application of common mean-value models (idle control, ignition system control, mixture formation system control,...) 4. Experience and practical work with the Inca calibration system (ETAS) on a engine test bed. 5. Experience and practical work with the tool for an automated engine mapping and calibration - Cameo (AVL)

Passed exam on course: "IC Engines Processes" and "Engine Mechatronics"

Mathworks Matlab/Simulink IDE (Licenced) AVL Advanced Simulation Tools (AST): Boost, Fire, Excite, Cruise LMS AMESim AVL Cameo; AVL Concerto; Laboratories equipped with IC Engine testing equipement (fully equiped IC Engine test benches) Laboratory instalation with a reciprocating piston and Roots type compressor. DAQ Measurement equipement (National Instruments PXI based system with Labview Developement software)

Total assigned hours: 75

New material: 20
Elaboration and examples (recapitulation): 10

Auditory exercises: 0
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 0
Project: 30
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 0
Review and grading of the project: 10
Test: 0
Test: 0
Final exam: 5

Activity during lectures: 0
Test/test: 0
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 0
Project: 70
Final exam: 30
Requirement for taking the exam (required number of points): 30

R. Jankov: Piston Compressors, Faculty of Mechanical Engineering, Belgrade, 5th edition, 1990, (on Serbian); Isserman, R.: Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance, Springer, 2006.; Kiencke, U., Nielsen, L. : Automotive Control Systems: For Engine, Driveline, and Vehicle, Springer, 2005; Guzzella, L., Onder, C.: Introduction to Modeling and Control of Internal Combustion Engine Systems, Springer, 2010; Paulweber, M.,Lebert, K.: Mess- und Prüfstandstechnik: Antriebsstrangentwicklung · Hybridisierung · Elektrifizierung, Springer, 2014