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Mass Data Measurement, Approximation and Influence on Vehicle Stability for Ultra-Light Human-Powered Vehicles

Wilhelm, Toni 1; Dorsch, Volker; Gauterin, Frank 1
1 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The mass properties of a vehicle play a decisive role in its dynamics and characteristics and are fundamental for vehicle dynamics models and controllers. These values are not yet known for the vehicle class of the ultra-light velomobiles and similar multi-track bicycle vehicles. In the future, however, such vehicles could play a role in reducing the CO2 emissions generated by individual transportation. As a basis for vehicle dynamics modeling, accident reconstruction, and controller development for this vehicle class, this paper investigated ranges of mass properties and their influence on vehicle stability considering driver influence. In total, 13 vehicles (10 velomobiles and 3 trikes) were examined using different experimental setups. It was shown that most vehicles exhibited understeering behavior based on the center of gravity position and calculations of the static stability factor showed significantly lower rollover stability compared with conventional vehicles. The measured moments of inertia were used to develop and examine different approximation approaches for the yaw moment of inertia using conventional approaches from the passenger car sector and stepwise regression. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000135499
Veröffentlicht am 19.07.2021
Originalveröffentlichung
DOI: 10.3390/app11125485
Scopus
Zitationen: 2
Web of Science
Zitationen: 1
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2076-3417
KITopen-ID: 1000135499
Erschienen in Applied Sciences
Verlag MDPI
Band 11
Heft 12
Seiten 5485
Vorab online veröffentlicht am 13.06.2021
Schlagwörter three-wheeled vehicle; inertia estimation; human-powered vehicle; mass properties; bicycle; inertia measurement
Nachgewiesen in Dimensions
Web of Science
Scopus
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