Computationally Cost-efficient Characteristics Analysis of EV Traction Motor considering AC Copper Loss based on 2-D Magneto-Static Analysis

Abstract

This paper presented the cost-efficient method to reflect the AC copper loss when conducting the characteristics analysis of EV traction motor using post-process of 2-D magneto-static analysis. From the magnetic vector potential as a result of magneto-static finite element analysis, the distribution of electric field intensity and current density by eddy current in conductors were calculated. Then, considering the current input, the actual distribution of current density was obtained, and the AC copper loss and AC resistance were calculated sequentially. With calculated AC resistances along the overall load conditions, the characteristics analysis of synchronous motor was conducted. Finally, the characteristic analysis results were compared with the results by transient analysis and the results of considering only DC resistance. To investigate distinctly, the motor with hairpin was analyzed due to its large AC copper loss. By applying the proposed method, the efficiency of EV traction motor can be estimated precisely.