To address the demand for power performance and anti-slip control of four-wheel independently driven auxiliary transport vehicles operating in complex mine environments, this study proposes a drive anti-slip control method based on Model Predictive Control (MPC). A full vehicle dynamics model is established. Subsequently, the controller's objective function and constraints are designed according to actual operational requirements, leading to the construction of an incremental MPC controller. Experimental results demonstrate that the proposed MPC-based drive anti-slip controller effectively tracks the target slip ratio for all four wheels in real-time on test mine roads, significantly enhancing the longitudinal dynamic performance of the mine auxiliary transport vehicle. This research provides theoretical support for the intelligent development of mine transportation equipment, offering significant engineering application value for improving underground transport efficiency and safety.