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Electric wheel dump trucks are mainly used in open pit mines, where the working environment is very harsh and the driver's continuous working time is extremely long, therefore, the ride comfort of the truck is pretty important. This paper evaluates and optimizes the ride comfort, according to ISO2631, and Chinese standard GB/T4970-1996 and Chinese standard QC/T76.8-1993, while the ride comfort test had been done in a open pit mine. After the test data was analyzed, the results showed that the ride comfort of this truck needs to be improved and optimized. The multi-body system dynamic model was built in MATLAB/SIMULINK for this dump truck, to simulate the realistic working condition using a D-class road, which was reconstructed according to ISO/DIS8608 and Chinese standard GB7031-86, while the simulation results were in coincidence with the test ones.

Good handling stability becomes very important for heavily-laden electric wheel dump trucks that are operated on rough roads. To improve handling stability of mining dump trucks, nonlinear stiffness and nonlinear damping of the hydro-pneumatic suspension were considered as optimization variables. In this paper, based on the Daubechies wavelet's compactness and regularization and least-square method, the nonlinear stiffness and damping are identified. In order to verify the results of the parameter identification, the multi-body system dynamic model of the truck was built in ADAMS/view. By comparing the simulated results and tested ones, we find acceleration-history and power spectral density of acceleration are very close. And then, based on the approximate model method, the optimization model was built in ISIGHT. The nitrogen column and the orifice diameter were defined as the design variables. Finally, the handling stability was optimized by applying the genetic algorithms method.