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the purpose of the work is to determine the factors that affect the consumption of electrical energy for the mechanical operation of electric vehicles during movement. Highlighting the key factors that must be paid attention to when performing mathematical modeling, taking into account the features of electric transport, as well as a complete picture of the forces acting on it. Search for key tools and means to determine the most optimal route of movement from several proposed options. As a result of the work, the most optimal and modern standardized motion tachogram for energy consumption studies was determined. Tools for obtaining data on alternative routes from point A to point B and terrain topology are defined. The criteria for determining the optimal route sampling frequency are described. The degree of influence of the driver's driving style factor on energy consumption is determined. A research model is proposed, which serves to accumulate data from the internal sensors of the electric vehicle, while driving, using the CAN bus. The existing tools used for processing the accumulated array of data based on artificial intelligence and machine learning are described.
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Бешта et al. (2023) studied this question.