The strong coupling, nonlinearity, and multi-physicaldomain nature of permanent magnet synchronous motor (PMSM) drive systems pose significant challenges to unified modeling and control-strategy verification. To address these challenges, this paper proposes a system-level modeling frame-work for PMSM control methods based on the Modelica language. By exploiting Modelica's object-oriented, acausal, and equation-based modeling features, the proposed framework provides modular encapsulation of the motor, inverter, modulation strategy, and thermal network under a unified physical-connection architecture. First, a basic component library is developed, including the d– q current controller, the Clark/Park transformations, and space-vector pulse-width modulation (SVPWM). On this basis, a PMSM vector control model is established, achieving the approximate decoupled control of the d- and q-axis currents. Furthermore, equivalent thermal models are constructed for different cooling configurations to characterize the temperature rise caused by copper, iron, and permanent-magnet losses. Finally, a maximum-torque-per-ampere (MTPA) control model is introduced to improve current utilization and overall system efficiency. Simulation results verify the modularity, scalability, and reusability of the proposed framework, and demonstrate its capability to serve as a unified platform for multi-physical-domain co-simulation and control-strategy verification of PMSM drive systems. Keywords—Permanent magnet synchronous motor (PMSM), Modelica, vector control, maximum torque per ampere (MTPA), multi-physical-domain modeling.