For the problem that current in single-vector model predictive current control (MPCC) of permanent magnet synchronous motor (PMSM) fluctuates greatly, an improved two-vector model predictive current control (TV-MPCC) algorithm is proposed. A zero voltage vector and an effective voltage vector or two effective voltage vectors in each sector are used to synthesize a desired voltage vector, and the optimal voltage vector is selected by using the principle of minimization of value function. The action time of the voltage vector is calculated by the dq-axis current dead-beat control method, which can realize dead-beat control of the current. Finally, the model is built in MATLAB/Simulink. The simulation results show that, compared with the single-vector MPCC, the optimized control strategy reduces the current fluctuation and improves the system stability.