Alla G. Zakharova

The shift to autonomous electric transport in mining is essential for reducing costs, enhancing productivity, and improving labour safety. The paper assesses the rate of traction battery fade in an electric mining dump truck charged using wireless charging stations under different scenarios and charging infrastructure options. The research was conducted using lithium iron phosphate batteries and the BelAZ-7558E dump truck as a case study. A review of battery lifetime assessment methods was conducted, and mathematical and scenario modeling methods were applied. To mathematically represent wireless charging stations, traction batteries, the powertrain of dump trucks, and the processes that occur within them, a dynamic model was developed using MatLab Simulink. To study the battery fade process, the mathematical model based on the Arrhenius equation was used. The capacity loss of the traction battery was determined for the considered charging infrastructure options. The wireless charging scenario delivers optimal results when charging stations are placed at the loading points. The simulation results are useful for estimating and predicting the fade of traction batteries. They also aid in designing the lifecycle of wireless charging infrastructure for autonomous electric dump trucks at specific mining enterprises.

Belt conveyors are a critical element of production capacity in mining and manufacturing industries. The reliability, smoothness, and trouble-free operation of belt conveyor equipment directly impact the production performance and economic efficiency of the enterprise. In this paper, a belt conveyor is considered as a single electromechanical system. A mathematical model for this system was developed by decomposing the belt conveyor mechanism, identifying individual mechanical components most susceptible to failure. The resulting model represents an eight-mass system. Based on the resulting equations, a model of the conveyor's electromechanical drive system was created in the MATLAB Simulink environment. The modeling yielded diagnostic indicators of belt conveyor failure modes, such as roller jamming, receiving hopper blockage, and others. The results of a model-based study showed that the stator current of an asynchronous motor changes characteristically during emergency situations. The period, frequency, and shape of the current oscillations depend on the specific type of fault in the mechanical component of the belt conveyor. To confirm these results, field studies were conducted on a real-world object—a type HE-K belt conveyor. During the experiments, the RMS value of the motor stator current, the frequency and voltage of the power supply network, and the output frequency and voltage of the frequency converter were recorded. The results of the study confirm the feasibility of using changes in the stator current of an asynchronous motor to diagnose emergency operating conditions of a belt conveyor. This allows for increased reliability and efficiency of equipment operation, as well as a reduction in economic losses associated with emergency situations.

Belt conveyors are a critical element of production capacity in mining and manufacturing industries. The reliability, smoothness, and trouble-free operation of belt conveyor equipment directly impact the production performance and economic efficiency of the enterprise. In this paper, a belt conveyor is considered as a single electromechanical system. A mathematical model for this system was developed by decomposing the belt conveyor mechanism, identifying individual mechanical components most susceptible to failure. The resulting model represents an eight-mass system. Based on the resulting equations, a model of the conveyor's electromechanical drive system was created in the MATLAB Simulink environment. The modeling yielded diagnostic indicators of belt conveyor failure modes, such as roller jamming, receiving hopper blockage, and others. The results of a model-based study showed that the stator current of an asynchronous motor changes characteristically during emergency situations. The period, frequency, and shape of the current oscillations depend on the specific type of fault in the mechanical component of the belt conveyor. To confirm these results, field studies were conducted on a real-world object—a type HE-K belt conveyor. During the experiments, the RMS value of the motor stator current, the frequency and voltage of the power supply network, and the output frequency and voltage of the frequency converter were recorded. The results of the study confirm the feasibility of using changes in the stator current of an asynchronous motor to diagnose emergency operating conditions of a belt conveyor. This allows for increased reliability and efficiency of equipment operation, as well as a reduction in economic losses associated with emergency situations.

E3S Web of Conferences, open access proceedings in environment, energy and earth sciences