The effects of seven different tire sets on heavy trucks steering feel characteristics were demonstrated from objective testing. Also, the steering behavior and vehicle dynamics were modelled in order to determine how well the resulting simulations could rank the steering performance of the tire sets relative to the objective results. The objective testing was performed using a 6 x 4 tractor with a two-axle flatbed semitrailer. Measured data included steering wheel torque, steering wheel angle, and lateral acceleration behaviour resulting from on-centre-type steering tests. In addition the hydraulic pressure for the power steering system was also measured. The test consisted of multiple cycles at 0.2 Hz and +/- 0.2 g. Steering-related performance metrics were selected and calculated based on the interaction between measured parameters. The same test procedure was also applied using an analytical model of a steering system. The input was steering wheel torque, and outputs included the road wheel angels at the steer axle, which were then fed into a commercial vehicle dynamics model providing the vehicle dynamics behaviour along with feedback required for the steering model (e.g. king pin moments). Tire loads and slip angels were also provided by the vehicle dynamics model and used as input to a tire model predicting tire force and moment behaviour. The related metrics were subsequently computed and compared to the measured results. Effects of the different tire sets on steering characteristics were seen from both the objective and simulation tests. Seven performance metrics were applied in a ranking comparison between measured and modelled results. Correlation of the modelled onto measured metrics ranged for R2 values of 0.40 to 0.99 for the seven metrics considered.
Ranking tires for heavy truck steering feel performance using a simulation model
2006
19 Seiten, 11 Bilder, 16 Tabellen, 7 Quellen
Aufsatz (Konferenz)
Englisch
Ranking Tires for Heavy Truck Steering Feel Performance Using a Simulation Model
Online Contents | 2006
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