Abstract: To improve the dynamic performance of metro vehicle shoe-rail system, achieve the goal of train speed elevation, optimization design is carried out on the current collector used on a Wuhan metro line. Through the dynamic calibration test, the reduction mass model of the current collector and its parameters are obtained, and the fully parameterized shoe-rail coupling finite element model is established, and the accuracy of the simulation model is verified by the test data. A shoe-rail system dynamic simulation is carried out on the model at the speed of 160 km/h, and the intelligent optimization algorithm—particle swarm optimization algorithm is compiled based on MATLAB software for synergetic optimization analysis in conjunction with ANSYS software. The dynamic parameters of the current collector are optimized with the goal of minimizing the standard deviation of contact force, and a set of optimal design parameters are obtained. Results show that the standard deviation of dynamic contact force after optimization is lowered by 43.89%, which greatly improves the current collection stability.