The article deals with the problem of the characteristics selection for the electric motors of the drivetrains of the high-speed tracked vehicles with individually driven sprockets. The existing method of the tracked vehicle cornering dynamics analysis is not suitable for the analysis of the motion at the speeds near to the critical speeds in the skidding mode. The authors offer a method for improving the accuracy of the existing analytical dependencies by the use of neural network. The above-mentioned improvements provide estimation of the limit values of the required traction forces on the sides of the vehicle but they do not allow gathering statistical data on the electric motor operating conditions of short and long duration during the vehicle operation. The authors offer to solve this problem by means of a driving simulation complex. The complex provides simulation of the tracked vehicles driving along stochastic routes in real time mode and collection of the stochastic data on the electric motor loads.

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Analysis of the driving cycles of the high-mobility wheeled vehicles shows that the driver tries to provide a high speed when performing maneuvers. This results in high loads both on the powerplant and the brake system. During quick changes of the driving modes, the service brake system has to dissipate a lot of energy, which may cause overheating of its working elements and changes (deterioration) in their frictional properties or their increased wear, or even a failure of the system. The article reveals the method for selection of the required deceleration of high-mobility wheeled vehicles with wear resistant brake systems providing higher speeds and considerably lower loads on the service brake system and increased life of the frictional elements. The method is based on the generation of the driving cycle, which is close to the real-life operation conditions of the high-mobility wheeled vehicles with the use of stochastic data on the roads. Thus, driving conditions are described as realizations of random functions of such external factors as the trajectory curvature, the friction coefficient between the tire and the road, and the tire rolling resistance coefficient. The driving cycle is generated with allowance for the vehicle stability, the powerplant performance, the physiological capability of the driver to withstand accelerations, and the maximum available deceleration. By varying the vehicle deceleration we can find the dependence of the vehicle average speed on its deceleration. The data obtained during the analysis helps to select the deceleration which can be effectively provided by the wear resistant brake system without the use of the service brake system. A method for selection of the wear resistant brake system characteristics with the use of stochastic data on the driving conditions. The method allows selection of the torque – speed curves of the units of a wear resistant brake system providing required mobility of the vehicle.

The article substantiates the relevance of off-road container transportation by ground railless transport vehicles and weight-size parameters of the transported cargo for the mining operations. A hierarchy of complex mobility properties is developed to investigate the significance of performance properties, which is divided into levels of properties. Taking into account the hierarchy of properties, the measuring instruments are determined, the indicators of which can be used to determine the priority technical solution for container and rock transportation vehicles. The article provides a classification of tracked vehicles and tracked trains with the analysis of their design and layout variants. As a result, variants of the concepts of vehicles for off-road container and rock transportation have been formed. Based on the analysis of the hierarchy of performance properties, design and layout variants of modern tracked vehicles and considering the selected objects of research, the conceptual design of a semi-trailer tracked train and a tracked train with a double-hinge fifth wheel coupling has been proposed.

Introduction (problem statement and relevance). The insurance of the required safety level is getting more relevant in connection with the intensive implementation of remote control systems being developed for vehicles with varying degrees of motion autonomy. When transporting bulky and heavy loads off-road by remote-controlled tracked trains it is advisable to use the methods of full-scale mathematical modeling at the design stage to evaluate the operational properties of the remote-controlled tracked trains associated with undetermined actions of the driving operator.The purpose of the study was to evaluate the controllability of caterpillar trains transporting goods off-road with the help of a natural-mathematical modeling complex.Methodology and research methods. To assess the controllability of caterpillar trains, the mathematical model requirements for a complex of full-scale mathematical modeling were worked out, taking into account the mathematical model of caterpillar train motion. Using the method of natural-mathematical modeling, the controllability of a caterpillar train was evaluated when moving along a “snake” type trajectory.Scientific novelty and results. The methods presented in this paper and the developed mathematical model, suitable for a complex of natural-mathematical motion modeling, allow to determine the indicators of tracked trains operational properties associated with non-deterministic control actions of the driver operator and the disturbing effect of the road conditions. The novelty of the work lies in the developed mathematical model and the possibility of its application in the complex of natural-mathematical motion modeling for the study of operational properties and load modes of unmanned tracked trains. As a result of the study, the caterpillar trains controllability evaluation has been made when moving along a “snake” type trajectory as well as assessment of the caterpillar trains transmission load.Practical significance. The developed mathematical model allows determining the indicators of caterpillar trains operational properties at the design stage using a complex of natural-mathematical motion modeling. In addition, when performing virtual races, one can get data on the modes of transmission and select required characteristics.