Datenbestand vom 15. November 2024

Warenkorb Datenschutzhinweis Dissertationsdruck Dissertationsverlag Institutsreihen     Preisrechner

aktualisiert am 15. November 2024

ISBN 9783843926195

96,00 € inkl. MwSt, zzgl. Versand


978-3-8439-2619-5, Reihe Ingenieurwissenschaften

Khang Zhun Yeap
Analysis and Active Damping Control of Torsional Vibrations in Individual-Wheel Drives of Electric Road Vehicles

176 Seiten, Dissertation Technische Universität Kaiserslautern (2016), Hardcover, A5

Zusammenfassung / Abstract

Despite the increasing popularity in the electrification of propulsions in road vehicles, drive trains with either combustion engines or electric drives are definitely subject to torsional vibrations. These occur due to the finite stiffness of drive train material as well as various excitation sources from surroundings and within the vehicle. Furthermore, drive trains in road vehicles are generally by engineering design weakly damped against torsional vibrations and most of the damping properties result from friction in the tire-road contact.

Among various drive train topologies with electric drives, torsional vibrations in an individual-wheel drive (IWD) have to be regarded as the most critical case since an IWD is subject to traction at only a single wheel, whereas a drive train with differentials is subject to an essentially higher damping due to traction at wheels of both sides. Consequently, torsional vibrations in IWDs pose a more severe risk potential of structural instability for transmission components such as drive shafts. A dramatical decrease in their lifespan, a heavy deterioration in the overall performance of the drive system and subsequently of various vehicle dynamics control tasks belong to the undesirable consequences in this case. Hence, an active damping of these vibrations is a must. However, a thorough understanding of the involved torsional vibration behavior prior to the analysis and synthesis for active damping control is required. Gaining insights into this worst-case vibration behavior also lay the foundation for enabling a better understanding of cases related to other drive train topologies.