Browse Publications Technical Papers 2013-01-1354
2013-04-08

Ride Comfort Optimization of Electric Wheel Dump Truck Based on a Vehicle Test 2013-01-1354

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. Finally, by terms of the nonlinear characteristics of the hydro-pneumatic suspension, the dump truck ride comfort was optimized using the genetic algorithm, while the results showed that the vehicle ride comfort has been improved significantly.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Optimization of Spring-Damper Orientation in Double-Wishbone Type Suspension Geometry Using Genetic Algorithm in Python

2021-28-0256

View Details

TECHNICAL PAPER

Fuzzy Control of Semi-active Air Suspension for Cab Based on Genetic Algorithms

2008-01-2681

View Details

TECHNICAL PAPER

H∞ Control Design of Experimental State-Space Modeling for Vehicle Vibration Suppression

971949

View Details

X