Parameter identification in heavy vehicle simulation

Experimental data from heavy truck measurements establish parameter values in a multi-body model. Two vehicle configurations and several test cases are investigated, five reruns demonstrate repeatability. Measured and simulated signals are compared in the time domain. Identity in the time domain makes evaluated (filtered, averaged, PSD) signals identical, but the inverse is not necessarily true. Comparisons in the time domain are sensitive to phase shifts. The influence of corresponding test velocity variations is minimised using single obstacle experiments as parameter identification input. Numerical procedures find parameter values minimising simulation-experiment discrepancy, model performance is evaluated by comparison with experimental variation.