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  4. Potentials and Possibilities of Using the Physical Tire Model CDTire/3D in the Derivation of Tire Envelopes in Vehicle Development
 
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2024
Conference Paper
Title

Potentials and Possibilities of Using the Physical Tire Model CDTire/3D in the Derivation of Tire Envelopes in Vehicle Development

Abstract
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.
Author(s)
Calabrese, Francesco  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Burkhart, Christoph
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Gallrein, Axel  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Bäcker, Manfred  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Leister, Günter
Mainwork
Reifen - Fahrwerk - Fahrbahn. Im Spannungsfeld von Sicherheit und Umwelt  
Conference
Fachtagung Reifen, Fahrwerk, Fahrbahn 2024  
DOI
10.51202/9783181024386-149
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Keyword(s)
  • Virtuelle Simulationstechnik

  • Test Methoden

  • automatisierte Sicherheit

  • maschinelles Lernen

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