Design of Experiments (DoE) in Powertrain Development
Produktform: Buch / Einband - flex.(Paperback)
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 Modelsweiterlesen
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