To improve the charging bow scissor mechanism’s operating performance, a parametric model of the electric charging bow scissor mechanism was established, the scissor mechanism’s hinge point coordinates were parameterized, and the optimization algorithm was used to optimize the parameters with a lifting force of 5000N as the target. First, the optimized structural parameters are obtained after multiple iterations using the NLPQLP direct numerical algorithm; then, the strength and stiffness simulation of the optimized scissor mechanism is performed to meet the strength and deformation requirements; and finally, the constant amplitude load method is used to conduct fatigue analysis on the optimized structure. According to the optimization results, the maximum lifting force of the scissor mechanism in the electric charging bow is reduced by approximately 18%. The lifting force is compared to the lifting force collected by the sensor, which verifies the structural optimization’s effectiveness. Simultaneously, strength and stiffness simulation analysis determines the mechanism’s material and processing technology, while fatigue analysis provides the foundation for subsequent life optimization. The modeling and analysis process used is simple and reliable and it has some engineering practical value.