Browse Publications Technical Papers 2011-28-0024
2011-10-06

Making Greener Off-Road Vehicles - Assessment Method and Design Solutions 2011-28-0024

Over the past several years increasing concern is expressed over the impact of tractors and heavy-duty trucks on the environment. One of the factors specific to this type of vehicles is the level of soil damage inflicted by the vehicle. This article suggests methods of ameliorating this type of damage.
It is suggested that the harmful impact of the vehicle on the soil be assessed on the basis of an index that takes into account the reduction in the soil's reproductive capacity due to being traversed by vehicular wheels.
A computational method is suggested that allows the design of off-road vehicles; it takes into account the number of axles and their arrangement along the base; the distribution of load between the axles, the type and specifics of the drivelines, tire models and pressure, turning patterns, etc. This method allows comparative evaluation of various vehicles, whether already in existence or under design. Design solutions for reducing the environmental damage caused by off-road vehicles are suggested.
Particular attention is paid to the design of all-wheel-drive vehicles equipped with intelligent automatic drivelines that are able to redistribute the power supplied to the wheels. Besides certain performance improvement (passability, traction and velocity performance, fuel savings) these drivelines are also capable of reducing the environmental damage. Relationships defining the optimum distribution of power to the driving wheels of AWD vehicles are suggested and design principles and layouts of intelligent driveline control systems are presented.
The actual implementation of the suggested approach is demonstrated for the case of a 6x6 wheel drive vehicle with a gross weight of 12 ton equipped with an intelligent hydrostatic driveline. The driveline control system continually redistributes, in real time, the power supplied to the driving wheels, being governed by road conditions and by vehicle operating modes.

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