Reifen – Fahrwerk – Fahrbahn
im Spannungsfeld von Sicherheit und Umwelt
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
- Kapitel Ausklappen | EinklappenSeiten
- I–VIII Titelei/Inhaltsverzeichnis I–VIII
- 1–2 Keynotes 1–2
- From “W“ cycle to “V“ cycle. How do we increase the confidence in the virtual simulation techniques?
- 3–44 Simulation and Testing Methods 3–44
- 3–18 A Proposal for Automated Safety Goal Derivation Using the Example of Chassis Related Hazards 3–18
- 19–32 Potential of Machine Learning Methods for a Pure Virtual Development of Tire- and Chassis Components 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 33–44
- 45–74 Steering Feedback and Behavior. 45–74
- 45–58 A Novel Simulator Setup: Influence of FTire Dynamics on Accurate Steering Behavior 45–58
- 59–74 Lenkungsrückmeldung im dynamischen Fahrsimulator: Der Einfluss von Lenkradvibration und Fahrzeugbewegung 59–74
- 75–108 Indoor Testing 75–108
- 75–92 Concepts for Optimizing Indoor Tire Abrasion Tests on Sandpaper 75–92
- 93–108 Predicting tire performance on asphalt from indoor measurements 93–108
- 109–146 Driving Dynamics and Micromobility. 109–146
- 109–122 Design Process of an Evolutionary Chassis System for an Experimental Microcar 109–122
- 123–132 Advanced Chassis and Vehicle Dynamics Control of the EDAG CityBot. A multifunctional Autonomous Robot Vehicle 123–132
- 133–146 Innovative test and simulation methods for very light electric vehicles 133–146
- 147–192 Simulation and Testing Methods 147–192
- 147–148 Information Fusion for Road Friction Estimation 147–148
- 149–168 Potentials and possibilities of using the physical tire model CDTire/3D in the derivation of tire envelopes in vehicle development 149–168
- 169–178 Vehicle Motion Management. Mastering Vehicle Dynamics Control by Releasing Symbiotic Potential 169–178
- 179–192 NVH optimization at chassis level using test bench data considering necessary corrections for coupling forces and moments 179–192
- 193–XII Chassis Design 193–XII
- Weight Reduction Strategies for Chassis Systems
