Design of Experiments (DoE) in Powertrain Development

Developing complex powertrains without model-based processes is inconceivable today. But which methods can be used to address future challenges in powertrain development such as real driving emissions (RDE) and the diversity of derivatives? Contents: A strategy to employ criteria for online location selection when using Gaussian Processes – Efficient online test plan calculation with integrated boundary detection for modern model based engine calibration – Benchmark Problem for Near Boundary Operation Control for Automotive Engine – Lookup Table Optimisation for Engineering Applications – A Dynamometer Dynamic Calibration Method for the Diesel Air-Path – Application of DoE Method on Synthetic Gas Bench for SCR studies in Early Stages of the Model-Based System Development Process – Application of Model Based Calibration to Mass Production Diesel Engine Development for Indian Market – Application of global model based calibration methodology to optimize a 2.3 litre diesel engine with SCR on WLTC cycle – Advanced Gaussian Process Modeling Techniques – Fast Engine Modelling Using On-Line Calibration Data – Steady State Calibration for Catalyst Heat-up Optimization on Gasoline Direct Injection Engine – Efficient variant calibration by automation using rules and dependencies – Efficient Calibration Process for Series Programme with Multiple Engine, Vehicle and Market Variants – Computing Optimized Calibration Maps including Model Prediction and Map Smoothness – DoE and beyond: the evolution of the model based development approach how legal trends are changing methodology – Vehicle and OEM generic HIL / SIL Model in the transmission development – Data-based Models on the ECU – Pattern recognition for classifying degradation states of lithium ion batteries – Simulation-Error Based Identification of Dynamic Calibration Models