Quantification of Steady-State Efficiency Maps vs. Time-Stepping Solutions for Drive Cycle Performance Analysis of Induction Motors

Efficiency analysis of dynamic drive cycles is crucial for evaluating electric vehicle (EV) motors. Conventional steady-state models allow fast development of efficiency maps but can lead to errors in the computation of transient performance due to grid point interpolation and the neglect of transient behavior. Limited understanding exists of the influence of grid coarseness and the error between steady-state and time-stepping solutions. This research aims to quantify these errors for a test-case laboratory-based induction motor (IM) across down-scaled drive cycles, using experimental results as a baseline. This study involves drive cycle performance derived from steady-state efficiency maps developed by finite element analysis (FEA) and direct time-stepping methods, including both analytic and FEA approaches. The results are compared with time-stepping solutions derived from laboratory measurements to identify trade-offs between computational efficiency and accuracy.