In mining operations, electric transport vehicles often face issues of insufficient power supply and excessive energy consumption under high-load conditions. To address this challenge, a control optimization system based on torque distribution for independently driven four-wheel electric mine transport vehiclesis proposed. Utilizing the structural characteristics of three-phase windings in brushless DC motors, a model of the independently driven four-wheel electricmine transport vehicles was constructed, and the corresponding objective function was defined to guide the optimization process. A particle swarm optimization (PSO) algorithm was employed to intelligently solve the mathematical model and obtain the optimal torque distribution scheme. Simulation results show that the torque distribution control strategyshortens the braking time to 8.4 s at a speed of 50 km/h, fully meeting the practical demands of ore transport in mines. Under PSO control, the state of charge of the vehicle battery was maintained within 30.2 %-30.6 %, demonstrating higher stability compared to control with the simulated annealing algorithm. The results verify that the proposed torque distri-bution method is suitable for independently driven four-wheel electric mine transport vehicles, as it not only satisfies the braking performance requirements but also ensures safe vehicle operation.