Relevance. Current global economic trends necessitate the implementation of new measures to reduce environmental impact and improve efficiency and safety in the mining industry. Digital transformation is a strategic tool that ensures the competitiveness and sustainability of mining enterprises, including open-pit mines. The central element of this transformation is the development of electric transport, particularly battery-powered dump trucks designed for autonomous use. The introduction of wireless charging stations contributes to the automation of technological processes, but requires additional research and adaptation to specific operating conditions at open-pit mines. The issues of infrastructure placement and utility connection charge for connecting to the power supply are relevant and require a detailed study. Objects. Wireless charging infrastructure for battery-powered dump trucks and their utility connection to the electric power supply. Aim. To estimate the utility connection charge for the wireless charging infrastructure of battery electric vehicles in open-pit mines for different charging scenarios. Methods. Scenario modeling, electro-technical valuations. Results. The paper presents the methodology for assessing the power capacity of the wireless charging infrastructure and its technological connection for different scenarios of wireless charging, and the assessment formulas for the utility connection charge. The authors performed electro-technical valuations for a model open-pit mine, selected the equipment, and assessed the utility connection charge for the wireless charging infrastructure of battery-powered dump trucks for three wireless charging scenarios. The calculations showed that the lowest specific costs for the utility connection of the charging infrastructure are for dynamic charging stations, and the highest specific costs are for individual stationary stations located at loading and, if necessary, unloading points. At the same time, the total power capacity of the wireless charging infrastructure has an inverse ratio.