一种基于模型与数据驱动集成的永磁同步电机温度估计方法

To fulfill accurate online temperature estimation of permanent-magnet synchronous motor (PMSM), an integrated model-based and data-driven method is proposed in this article. First, a simplified lumped parameter thermal network (LPTN) model is developed to learn the tendency of temperature variations. Meanwhile, a small-scale artificial neural network (ANN) is specifically designed to compensate th...