In dynamic wireless power transmission (DWPT) system, the design of noncontact transformers plays a significant role in output power and its stability, which is closely related to the coupling coefficient. This article presents a design method for DWPT system based on automated guided vehicle (AGV), and takes into account W-type structure of noncontact transformer optimization. Therefore, through the adjustment of multiple physical parameters (the width of the primary coil, ferrite size, and spacing) the goal of 1.8 kW output power with minimal ferrite usage during the movement of the vehicle is achieved. Moreover, through the combination of finite element method and sensitivity analysis based on Latin hypercube sampling (LHS), a high-precision response surface is established, and the noncontact transformer is multiobjective optimized through particle swarm optimization algorithm. Finally, based on Pareto front of the optimization results, a platform based on the compensation topology of inductorcapacitorcapacitorseries(LCC-S) is built. Experimental results are highly consistent with the design, achieving 1.8 kW stable output power during AGV movement and the efficiency of the entire system reaches 92.7%.