Here, the Response Surface Method (RSM) is used to optimize the structure of a new Axial-Flux Permanent Magnet Memory Motor (AFPMMM) proposed in this paper.Main influencing parameters of the motor are preliminarily determined based on analysis of the electromagnetic performance equation and Orthogonal Experiment (OE), among which, three factors including soft magnetic ratio, number of rotor poles and air gap length, are selected as the design factors of OE.Then Electromotive Force(EMF), Total Harmonic Distortion (THD) and cogging torque are determined as the optimization factors, and the RSM is used as the optimization method.The Response Surface (RS) experiment is established by using the finite element software Ansoft Maxwell and the RS design software Design Expert.The simulation parameters and fitting curves of the motor under the combination model of different design factors are obtained.Different optimization methods are combined to meet the specific design requirements in this paper.Theoretical analysis and experimental results verify the feasibility and effectiveness of the proposed motor and optimization method.Then the optimization scheme is obtained through comparative analysis of the test data.The results show that the optimized motor not only reduces the cost of permanent magnet material, but also ensures good EMF and small axial force fluctuation.