Reifen – Fahrwerk – Fahrbahn

doi:10.51202/9783181024386

Reifen – Fahrwerk – Fahrbahn

im Spannungsfeld von Sicherheit und Umwelt

Series: VDI-Berichte

Volume 2438 1. Edition 2024

No access

doi.org/10.51202/9783181024386
ISBN print: 978-3-18-092438-0
ISBN online: 978-3-18-102438-6
VDI Verlag, Düsseldorf VDI Verlag, Düsseldorf

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Zusammenfassung

Inhalt/Content Keynotes From “W“ cycle to “V“ cycle How do we increase the confidence in the virtual simulation techniques? Simulation and Testing Methods A Proposal for Automated Safety Goal Derivation Using the Example of Chassis Related Hazards Potential of Machine Learning Methods for a Pure Virtual Development of Tire- and Chassis Components Objective Evaluation of Tire Properties: A Novel Interpretation of NHTSA‘s Dynamic Rollover Fishhook Test for Scale-Based Classification of Rollover Criticality Steering Feedback and Behavior A Novel Simulator Setup: Influence of FTire Dynamics on Accurate Steering Behavior Lenkungsrückmeldung im dynamischen Fahrsimulator: Der Einfluss von Lenkradvibration und Fahrzeugbewegung Indoor Testing Concepts for Optimizing Indoor Tire Abrasion Tests on Sandpaper 75 Predicting tire performance on asphalt from indoor measurements 93 Driving Dynamics and Micromobility Design Process of an Evolutionary Chassis System for an Experimental Microcar 109 Advanced Chassis and Vehicle Dynamics Control of the EDAG CityBot - A multifun...

Schlagworte

Virtuelle Simulationstechnik Test Methoden automatisierte Sicherheit maschinelles Lernen skalenbasierte Klassifikation Überroll Bedeutung präzises Lenkverhalten Lenkradvibration dynamischer Fahrsimulator virtual simulation technique testing methods automated safety machine learning scale-based classifcation rollover critcality acurate steering behavior steering wheel vibration dynamic driving simulator

Chapter Expand | CollapseAuthorsPage
Titelei/Inhaltsverzeichnis
1–2 Keynotes 1–2
- From “W“ cycle to “V“ cycle. How do we increase the confidence in the virtual simulation techniques? N. Pathak N. Pathak
3–44 Simulation and Testing Methods 3–44
- 3–18 A Proposal for Automated Safety Goal Derivation Using the Example of Chassis Related Hazards M. Perner, M. Levers, F. Matthies, W. Han, T. Wieczorek, S. Wiegand M. Perner, M. Levers, F. Matthies, W. Han, T. Wieczorek, S. Wiegand 3–18
- 19–32 Potential of Machine Learning Methods for a Pure Virtual Development of Tire- and Chassis Components C. Cramer, M. Neumann C. Cramer, M. Neumann 19–32
- 33–44 Objective Evaluation of Tire Properties: A Novel Interpretation of NHTSA‘s Dynamic Rollover Fishhook Test for Scale-Based Classification of Rollover Criticality C. Ludwig, G. Prokop, T. Landsiedel C. Ludwig, G. Prokop, T. Landsiedel 33–44
45–74 Steering Feedback and Behavior. 45–74
- 45–58 A Novel Simulator Setup: Influence of FTire Dynamics on Accurate Steering Behavior M. Becker, K. Jörg, B. Rieff M. Becker, K. Jörg, B. Rieff 45–58
- 59–74 Lenkungsrückmeldung im dynamischen Fahrsimulator: Der Einfluss von Lenkradvibration und Fahrzeugbewegung M. Böhle, B. Schick, S. Müller M. Böhle, B. Schick, S. Müller 59–74
75–108 Indoor Testing 75–108
- 75–92 Concepts for Optimizing Indoor Tire Abrasion Tests on Sandpaper G. Leister, S. Parthibhan, E. P. De Reuben, M. Winter G. Leister, S. Parthibhan, E. P. De Reuben, M. Winter 75–92
- 93–108 Predicting tire performance on asphalt from indoor measurements M. Furlan, H. Olsson, M. Strang, E. Ackerman M. Furlan, H. Olsson, M. Strang, E. Ackerman 93–108
109–146 Driving Dynamics and Micromobility. 109–146
- 109–122 Design Process of an Evolutionary Chassis System for an Experimental Microcar T. F. Böse, J. Kesten T. F. Böse, J. Kesten 109–122
- 123–132 Advanced Chassis and Vehicle Dynamics Control of the EDAG CityBot. A multifunctional Autonomous Robot Vehicle J. Grötzinger, D. Jekel J. Grötzinger, D. Jekel 123–132
- 133–146 Innovative test and simulation methods for very light electric vehicles A. Daberkow, V. Barske, M. Aydogmus A. Daberkow, V. Barske, M. Aydogmus 133–146
147–192 Simulation and Testing Methods 147–192
- 147–148 Information Fusion for Road Friction Estimation J. King J. King 147–148
- 149–168 Potentials and possibilities of using the physical tire model CDTire/3D in the derivation of tire envelopes in vehicle development F. Calabrese, C. Burkhart, A. Gallrein, M. Bäcker, G. Leister F. Calabrese, C. Burkhart, A. Gallrein, M. Bäcker, G. Leister 149–168
- 169–178 Vehicle Motion Management. Mastering Vehicle Dynamics Control by Releasing Symbiotic Potential M. Wielitzka, J. Rawitzer, J. Schrader M. Wielitzka, J. Rawitzer, J. Schrader 169–178
- 179–192 NVH optimization at chassis level using test bench data considering necessary corrections for coupling forces and moments O. Uszynski, C. Schliephake, D. Werner, D. Hagen, D. Wegener O. Uszynski, C. Schliephake, D. Werner, D. Hagen, D. Wegener 179–192
Chassis Design
- Weight Reduction Strategies for Chassis Systems T. Küppers, T. Schmitz T. Küppers, T. Schmitz

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