Please use this identifier to cite or link to this item:
Main Title: Customer loads of two-wheeled vehicles
Author(s): Gorges, Christian
Öztürk, Kemal
Liebich, Robert
Type: Article
Language Code: en
Is Part Of: 10.14279/depositonce-7679
Abstract: Customer usage profiles are the most unknown influences in vehicle design targets and they play an important role in durability analysis. This publication presents a customer load acquisition system for two-wheeled vehicles that utilises the vehicle's onboard signals. A road slope estimator was developed to reveal the unknown slope resistance force with the help of a linear Kalman filter. Furthermore, an automated mass estimator was developed to consider the correct vehicle loading. The mass estimation is performed by an extended Kalman filter. Finally, a model-based wheel force calculation was derived, which is based on the superposition of forces calculated from measured onboard signals. The calculated wheel forces were validated by measurements with wheel–load transducers through the comparison of rainflow matrices. The calculated wheel forces correspond with the measured wheel forces in terms of both quality and quantity. The proposed methods can be used to gather field data for improved vehicle design loads.
Issue Date: 2017
Date Available: 29-Jan-2019
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): customer loads
motorcycle dynamics
road slope estimation
mass estimation
load acquisition
Kalman filter
Journal Title: Vehicle System Dynamics
Publisher: Taylor & Francis
Publisher Place: London
Volume: 55
Issue: 12
Publisher DOI: 10.1080/00423114.2017.1335874
Page Start: 1842
Page End: 1864
EISSN: 1744-5159
ISSN: 0042-3114 
Appears in Collections:Inst. Maschinenkonstruktion und Systemtechnik » Publications

Files in This Item:
File Description SizeFormat 
Gorges_etal_2017.pdf2 MBAdobe PDFThumbnail

Items in DepositOnce are protected by copyright, with all rights reserved, unless otherwise indicated.