Customer loads of two-wheeled vehicles

dc.contributor.authorGorges, Christian
dc.contributor.authorÖztürk, Kemal
dc.contributor.authorLiebich, Robert
dc.date.accessioned2019-01-29T14:49:38Z
dc.date.available2019-01-29T14:49:38Z
dc.date.issued2017
dc.description.abstractCustomer 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.en
dc.identifier.eissn1744-5159
dc.identifier.issn0042-3114 
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/9033
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8143
dc.language.isoenen
dc.relation.ispartof10.14279/depositonce-7679
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitende
dc.subject.othercustomer loadsen
dc.subject.othermotorcycle dynamicsen
dc.subject.otherroad slope estimationen
dc.subject.othermass estimationen
dc.subject.otherload acquisitionen
dc.subject.otherKalman filteren
dc.titleCustomer loads of two-wheeled vehiclesen
dc.typeArticleen
dc.type.versionacceptedVersionen
dcterms.bibliographicCitation.doi10.1080/00423114.2017.1335874en
dcterms.bibliographicCitation.issue12en
dcterms.bibliographicCitation.journaltitleVehicle System Dynamicsen
dcterms.bibliographicCitation.originalpublishernameTaylor & Francisen
dcterms.bibliographicCitation.originalpublisherplaceLondonen
dcterms.bibliographicCitation.pageend1864en
dcterms.bibliographicCitation.pagestart1842en
dcterms.bibliographicCitation.volume55en
tub.accessrights.dnbdomainen
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Maschinenkonstruktion und Systemtechnikde
tub.affiliation.facultyFak. 5 Verkehrs- und Maschinensystemede
tub.affiliation.instituteInst. Maschinenkonstruktion und Systemtechnikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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