To solve the shortcomings of the existing hub motors in the practical application of electric vehicles, an integrated dual-rotor hub motor (DRHM) was proposed, which can realize multiple drive modes to adapt to the vehicle's variable driving conditions. Aiming at the complex structure of the DRHM, a multi-objective optimization method of design variables stratification based on comprehensive sensitivity was proposed. The design variables with medium and high sensitivity were optimized by the response surface method and genetic algorithm, respectively. After overall weighing the optimization objectives of output torque, torque ripple, usage amount of permanent magnets and magnetic coupling coefficient, three candidate design were screened out. By the comprehensive performance evaluation of the motor, the optimal structural sizes were determined. Based on a two-dimensional model, the electromagnetic performances of the DRHM were analyzed. The simulation results show that the motor has a small cogging torque and low magnetic coupling degree, and the independent control and stable operation of the internal and external motors can be realized. Besides, the basic characteristics of the DRHM prototype were tested. The experimental results accords well with the simulation results, which show that the proposed motor structure is reasonable and the multi-objective optimization method is effective.

针对现有轮毂电机在电动汽车实际应用中的不足，提出了一种集成双转子轮毂电机（DRHM），可实现多种驱动模式以适应车辆的多变行驶工况。针对DRHM的复杂结构，提出一种基于综合灵敏度的设计变量分层多目标优化方法。分别采用响应面法和遗传算法对中灵敏度和高灵敏度的设计变量进行优化。综合权衡输出扭矩、扭矩脉动、永磁体使用量和磁耦合系数的优化目标，筛选出三种候选设计。通过对电机的综合性能评价，确定了最佳的结构尺寸。基于二维模型，对DRHM的电磁性能进行了分析。仿真结果表明，该电机齿槽转矩小、磁耦合度低，可实现内外电机独立控制、稳定运行。此外，还对DRHM原型机的基本特性进行了测试。实验结果与仿真结果吻合较好，表明所提出的电机结构合理，多目标优化方法有效。