Russian Federation
Objective: to develop a digital model of the “Lastochka” electric train within the SimInTech universal general-purpose modelling environment for a comprehensive analysis of its energy consumption and dynamic behaviour. The digital model enables examination of the influence of various operational factors on the train traction and energy characteristics. Methods: the study employed mathematical and simulation modelling implemented in the SimInTech software environment. Results: a model has been developed, with its algorithms allowing variation of the main factors affecting the train’s energy performance. These factors include traction train parameters; track characteristics such as vertical profile, horizontal alignment, and operation in tunnels; the condition of the power supply system; train mass as a function of passenger load; and external climatic conditions, such as wind speed and direction. Practical significance: the findings of this study are relevant to engineering practice in the railway transport sector. The developed model provides an effective tool for virtual testing, energy-efficiency analysis, and optimization of train operational modes aimed at reducing operational costs. The model can be integrated into more comprehensive simulation frameworks. It can be employed to address non-standard research challenges, including the development of optimal control systems and the forecasting of energy consumption on new routes.
electric train digital model, traction calculations, electric train energy performance, traction rolling stock modeling in SimInTech
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