Design of Experiments (DoE) in Powertrain Development
Seiten
2015
|
1. Auflage
expert verlag ein Imprint von Narr Francke Attempto Verlag
978-3-8169-3316-8 (ISBN)
expert verlag ein Imprint von Narr Francke Attempto Verlag
978-3-8169-3316-8 (ISBN)
Zu diesem Artikel existiert eine Nachauflage
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
The Editors: Dr.-Ing. Karsten Röpke is Head of Department Development Methods at IAV. Prof. Dr.-Ing. Clemens Gühmann is Head of the Chair of Electronic Measurement and Diagnostic Technology at TU Berlin
Erscheinungsdatum | 30.11.2015 |
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Sprache | deutsch |
Maße | 150 x 210 mm |
Gewicht | 400 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Maschinenbau | |
Schlagworte | Advanced Gaussian Process Modeling Techniques • Application of DoE Method • Application of global model • Application of Model Based Calibration to Mass Production • Benchmark Problem • Design of Experiments (DoE) • DOE • Dynamometer Dynamic Calibration Method • Efficient online test plan calculation • employ criteria • Engine • Friction • Gaussian processes • Lookup Table Optimisation for Engineering Applications • Map Smoothness • Maschinenbau und Werkstoffe • Mathematik für Ingenieure • Motor • NOx • Numerische Mathematik • online location selection • Optimization • Simulation-Error Based Identification of Dynamic Calibration Model • Simulation-Error Based Identification of Dynamic Calibration Models • Steady State Calibration • Vehicle and Market Variants • Vehicle and OEM generic HIL / SIL Model |
ISBN-10 | 3-8169-3316-5 / 3816933165 |
ISBN-13 | 978-3-8169-3316-8 / 9783816933168 |
Zustand | Neuware |
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