<p>This paper proposes an asymmetric interior permanent magnet (AIPM) machine whose rotor consists of asymmetric and auxiliary flux barriers. To address the complexity of optimizing the design of AIPM machines adapted to multiple operating scenarios, a new optimization methodology that considers a wide range of operating conditions is used to optimize the design of AIPM machine rotors. The optimization method first precisely refines the representative operating points and their weights by the K-clustering method. Then, the optimization objective setting combined with the accurate results of the K-clustering method is proposed for Taguchi's experiment, which streamlines the optimization process. Finally, Taguchi's experiments are conducted to find the AIPM machine's rotor topology with superior performance under multiple operating conditions. A prototype is also manufactured and tested, and the validity of the design method is verified by comparing the measurement and simulation results.</p>