Design of Experiments (DoE) in Engine Development, V

Bayesian D-Optimal Design – Analytic Model Based Design of Experiments – Strategies for Improving the Process of Test Design and Test Plan Computation for High Dimensional Designs – Rapid Boundary Detection for Model Based Diesel Engine Calibration – Automation of Model-Based Calibration in Engine Development – DoEs on Automated Single Cylinder GDI Engine: Towards Deeper and Quicker Characterization of New Combustion Systems – Practical Approach to Thermo-Dynamic Modelling of Diesel Engine Emissions – Extension of the Classical DoE Method to Dynamic Conditions by means of Characteristic Numbers – Method for Dynamic Online Identification with Integrated Determination of Operating Boundaries – The Application of DoE in Engine Design – Application of DoE in Spray Guided DI Gasoline Engines – Direct and Indirect Methods for DoE of Automotive Systems – Cluster Analysis Using an Extended k-Means Process – Derivative Free Optimization Method and Physical Simulations Coupled with Statistical Models for Transient Engine Calibration – Implementation of Statistical Models in an ECU – The Challenges of an Empirical Model Based Transient Calibration Process – Target Oriented Driveability Calibration through Standardized Processes and Tailored Tool Support – Intelligent Calibration Tool: A Use Case – Test Bench Suitable Determination of Psychoacoustic Parameters Characterizing Diesel Engine Sounds – Comparison of Identification Methods for Nonlinear Dynamic Systems – The Echo State Approach on Nonlinear System Modelling – Comparison of Alternative Approaches to Auto-Regressive Modelling of Dynamic Systems – Advanced Approaches for the Identification of Dynamic Engine Behavior with Probabilistic Modeling – Dynamic Engine Modelling Using Local Model Networks – Global Dynamic Modeling: A consistent Approach for both Diesel and Gasoline Engines – Runge-Kutta Neural Networks for Identification of Dynamic Black-Box Models on the Testbed – Evaluation of Gaussian Processes for Black-Box Engine Modelling – Automated Parameterization of Conventional 1D Cycle Simulation Tools with Advanced Parametric and Experimental Uncertainty Propagation – New Challenges in Optimization for Model-Based Calibration – Evaluating Efficiency Modifications and Finding Optimal Solutions in Automotive Conceptual Design