Authors: I.Y. Semykina, V.M. Zavyalov, Y.A Nechiporenko, E.N. Taran, A.G. Zakharova

Title of the article: The lifetime assessment of electric mining dump trucks’ traction batteries powered from wireless charging stations

Year: 2026, Issue: 3, Pages: 52-63

Branch of knowledge: 2.4.2. Electrotechnical complexes and systems (engineering)

Index UDK: 621.355:622.684

DOI: 10.26730/1816-4528-2026-3-52-63

Abstract: 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.

Key words: electric mining dump truck traction battery wireless charging station charging infrastructure computer simulation

Receiving date: 24.02.2026

Approval date: 15.05.2026

Publication date: 04.06.2026

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