Citation

Gorges C, Öztürk K, Liebich R. Veh. Syst. Dyn. 2017; 55(12): 1842-1864.

Copyright

(Copyright © 2017, Informa - Taylor and Francis Group)

DOI

10.1080/00423114.2017.1335874

PMID

unavailable

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.

Language: en

Keywords

Customer loads; Kalman filter; load acquisition; mass estimation; motorcycle dynamics; road slope estimation