@inproceedings{7db794df1f274ef1b666ac9e6e10b366,
title = "Analysis of Dynamics and NVH of Electric Drive Unit Using Frequency- and Time-Domain Solutions",
abstract = "With increasing number of electric vehicles being designed, more reliable, accurate and performant software tools for their analysis and design have to be provided. While simulation of the dynamics of electric powertrains in time domain delivers accurate results, its performance is not high enough to allow for calculation of multiple variants needed for choosing an optimal layout of the system in acceptable time. The present paper describes a methodology and a tool for additional frequency-domain simulation of dynamics which closes that gap. An application example of electric drive unit of a passenger car with two-stage gearbox is considered. Comparing the results of frequency- vs. time-domain simulation, as well as vs. modal analysis, shows reasonable correlation confirming the viability of the suggested approach.",
keywords = "Battery electric vehicle, Electric drive unit, Electric motor, Gear transmission, Multibody dynamics, NVH, Vibrations",
author = "Bauer, {Klaus Dieter} and Josef Haslinger and Bianka Zinkiewicz and Johannes Steiner and Franz Diwoky and Martin Sopouch and Christoph Schweiger and Guenter Offner and Tigran Parikyan",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.; 16th International Federation of Theory of Machines and Mechanisms World Congress : IFToMM WC 2023, IFToMM WC 2023 ; Conference date: 05-11-2023 Through 09-11-2023",
year = "2023",
doi = "10.1007/978-3-031-45705-0_98",
language = "English",
isbn = "9783031457043",
series = "Mechanisms and Machine Science",
publisher = "Springer Science and Business Media B.V.",
pages = "1011--1022",
editor = "Masafumi Okada",
booktitle = "Advances in Mechanism and Machine Science - Proceedings of the 16th IFToMM World Congress 2023—Volume 1",
}