Validation of an EV-Permanent Magnet Synchronous Motor Model Based on Analytical Dynamic Approach

In the electric automotive industry, manufacturers usually do not declare the electrical parameters of electric vehicle (EV) motors. In advanced control systems, accurate knowledge of motor parameters is essential in order to achieve high dynamic performance. Conventional tests for parameter estimation might be risky not only to the motor windings but also to the measurement devices. In this research study, a dynamic analytical approach is used to estimate the electrical parameters of a three-phase permanent magnet synchronous motor PMSM used in an autonomous electric vehicle (AEV). A detailed d-q mathematical model of the PMSM model was presented. No-load/on load tests were experimentally performed on the motor. The motor simulation dynamic model was built using MATLAB/Simulink. Ant lion optimization (ALO) search algorithm was implemented within the motor simulation model to search proper parameters that achieve equality between experimental and simulated d-q current values. The obtained results showed high agreement between simulation and experimental results.