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Progress in Vehicle Aerodynamics and Thermal Management
The books presents latest information about new car developments, new or improved testing techniques and new or improved calculation procedures. Presenters are from industry and academia.
Knocking Combustion of Methane-Based and Highly Knock Resistant Liquid Fuels
Marcel Eberbach provides insight into the investigations of the knocking behavior of methane-based fuels and compares them with the knocking behavior of very high knock resistant liquid fuels during engine combustion. With pressure-based knock detection algorithms and thermodynamic evaluation, the atypical knocking combustion phenomena are evaluated with respect to the abnormalities on the heat release curve. Based on the investigated fuels an engine specific relation between the fuel index numbers (RON and MN) and the actual knock resistance of the fuels by means of the motor methane number was established and applied to the investigated gaseous and liquid fuels during knocking combustion.
A Phenomenological Knock Model for the Development of Future Engine Concepts
The majority of 0D/1D knock models available today are known for their poor accuracy and the great effort needed for their calibration. Alexander Fandakov presents a novel, extensively validated phenomenological knock model for the development of future engine concepts within a 0D/1D simulation environment that has one engine-specific calibration parameter. Benchmarks against the models commonly used in the automotive industry reveal the huge gain in knock boundary prediction accuracy achieved with the approach proposed in this work. Thus, the new knock model contributes substantially to the efficient design of spark ignition engines employing technologies such as full-load exhaust gas recirculation, water injection, variable compression ratio or lean combustion. About the Author Alexander Fandakov holds a PhD in automotive powertrain engineering from the Institute of Internal Combustion Engines and Automotive Engineering (IVK) at the University of Stuttgart, Germany. Currently, he is working as an advanced powertrain development engineer in the automotive industry.
6th International Munich Chassis Symposium 2015
Connectivity has arrived in the vehicle - whether it is in-car internet or car-to-car communication. For the chassis too, the connected car is increasingly becoming a driver of innovation. Predictive and intelligent chassis systems and automated driving are just some of the topics being addressed. In addition to enhancing driving comfort and safety, interconnecting the powertrain with the chassis can also provide new functions, not only in cars but also in commercial vehicles. What is more, modularization, electrification of the powertrain, intelligent development methods and efforts to reduce fuel consumption are also driving innovations in chassis systems.
Aerodynamics of Road Vehicles
The detailed presentation of fundamental aerodynamics principles that influence and improve vehicle design have made Aerodynamics of Road Vehicles the engineer’s “source” for information. This fifth edition features updated and expanded information beyond that which was presented in previous releases. Completely new content covers lateral stability, safety and comfort, wind noise, high performance vehicles, helmets, engine cooling, and computational fluid dynamics. A proven, successful engineering design approach is presented that includes: • Fundamentals of fluid mechanics related to vehicle aerodynamics • Essential experimental results that are the ground rules of fluid mechanics...
Transient Effects in Simulations of Hybrid Electric Drivetrains
This work presents an investigation of the influence of different modeling approaches on the quality of fuel economy simulations of hybrid electric powertrains. The main focus is on the challenge to accurately include transient effects and reduce the computation time of complex models. Methods for the composition of entire powertrain models are analyzed as well as the modeling of the individual components internal combustion engine and battery. The results shall help with the selection of suitable models for specific simulation tasks and provide a deeper understanding of the dynamic processes within simulations of hybrid electric vehicles. About the Author Florian Winke was research associate at the Research Institute of Automotive Engineering and Vehicle Engines Stuttgart (FKFS), where he worked on modeling and simulation of hybrid electric powertrains. After finishing his doctorate, he joined a German automotive manufacturer, where he is working in software development in the field of hybrid operation strategies.
Fail-operational Safety Architecture for ADAS/AD Systems and a Model-driven Approach for Dependent Failure Analysis
Bülent Sari deals with the various fail-operational safety architecture methods developed with consideration of domain ECUs containing multicore processors and describes the model-driven approaches for the development of the safety lifecycle and the automated DFA. The methods presented in this study provide fail-operational system architecture and safety architecture for both conventional domains such as powertrains and for ADAS/AD systems in relation to the processing chain from sensors to actuators. About the Author: Bülent Sari works as a functional safety expert for autonomous driving projects. His doctoral thesis was supervised at the Institute of Internal Combustion Engines and Automotive Engineering, University of Stuttgart, Germany. He is a technical lead for not only functional safety in vehicles, but also for SOTIF, embracing the ISO 26262 standard as well as ISO PAS 21448. In this role, he coordinates and organizes the safety case execution of several product groups within different divisions of ZF.
Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data
Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded for large hybrid electric vehicle fleets. In particular, he presents new approaches for uncovering and describing stress and usage patterns that are related to failures of selected components of the hybrid power-train.
Turbocharger Integration into Multidimensional Engine Simulations to Enable Transient Load Cases
Despite the increasing interest in multidimensional combustion engine simulation from researchers and industry, the field of application has been restricted to stationary operating points for turbocharged engines. Andreas Kächele presents a 3D-CFD approach to extend the simulation into the transient regime, enabling the detailed analysis of phenomena during changes in engine operating point. The approach is validated by means of a virtual hot gas test bench and experiments on a two-cylinder engine.
Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles
Tunan Shen aims to increase the availability of powertrain systems for autonomous electric vehicles by improving the diagnostic capability for critical faults. Following the fault analysis of powertrain systems in battery electric vehicles, the focus is on the electrical and mechanical faults of the electric machine. A multi-level diagnostic approach is proposed, which consists of multiple diagnostic models, such as a physical model, a data-based anomaly detection model, and a neural network model. To improve the overall diagnostic capability, a decision making function is designed to derive a comprehensive decision from the predictions of various operating points and different models.
