Design of Experiments (DoE) in Engine Development, IV:: Modern Development Methods to Meet New Challenges (Reihe Technik) [paperback]

The method Design of Experiments is well-established in today’s engine development process. This thesis is confirmed in the conference proceedings at hand, where experts of international automotive manufacturers and supply industry as well as various research institutes and universities present their current results and experiences concerning the topic. Contents: Direction of Model Based Engine Calibration – Challenges during the Broad Implementation of Model Based Methods in the Development and Calibration of ECUs – Use of Model-Based Calibration in the Test Cell – Design of Dynamic Experiments – Modelling of Transient Diesel Engine Emissions – Quasi-Stationary Measurement Strategies for Cylinder Charge Determination of a 6 Cylinder Gasoline Engine – Transient Measurement for Steady-State Calibration – Intelligent Calibration Tool: An Approach to Cover the Whole Calibration Process – Modelling Engine Operating Space for DoE Calibration Methods – Utilization of the Slow Dynamic Slope Methodology for the Calibration of the ECU-Functions »Air Charge Determination« and »Torque Prediction« in the Series Production – Automated ECU-Calibration. Example: Torque Structure of Gasoline Engine – Multi-Layer Global DoE for Automated Optimization of Shift Quality for Automatic Transmissions – Automatic Optimisation Strategies for Diesel Engine Calibration – Model Based Controller Calibration on Powertrains – Application of DoE to the Optimisation of Engines with Selective Catalytic Reduction (SCR) Systems – The Optimisation of Camshaft Bearing Friction as an Example of DoE Application in Engine Design – A Design of Experiments Approach to the Control of Chassis Dynamometer Testing Error – Demonstration of the DoE Process with Software Tools – Multi-Objective Constrained Optimization of Engine Maps – Developing a New Procedure for the Determination of Target-Aimed Mathematical Models – A Method to Combine Physical and Statistical Modelling Implemented for a Dynamic Air Charge Compensation – Methods for the Global Dynamic Measurement and Modelling of Combustion Engines – A Model-Independent Test Planning Method for Iterative Data Acquisition Combined with Structured Process Modelling – Efficient Test Bed Automation – Proposal for a Generic Interface between Test Bench Automation System and DoE Modelling Application