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An applicable real-time thermal model for temperature prediction of permanent magnet synchronous motor

机译：适用于永磁同步电动机温度预测的实时热模型

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This article presents an applicable real-time thermal model for the temperature prediction of permanent magnet synchronous motors. The load capacities of most permanent magnet synchronous motors are usually limited by the temperature, and overheating is one of the main reasons for permanent magnet synchronous motors breakdown, so an applicable temperature prediction approach is helpful to improve motor utilization and protect permanent magnet synchronous motors from thermal distortion. Compared with embedding temperature sensors into motor structures, implementing real-time thermal model in motor controllers is a cost-effective and rapid response protection method, but it still faces the challenges on the temperature estimation accuracy, the complexity of the model parameters and the computational efforts. To balance every aspect of these challenges, this article tries a simple real-time thermal model to accurately predict the thermal behavior by elaborately modeling stator core losses and considering motor itself cooling ability. The affections of the motor current and speed on the core losses are analyzed and a polynomial equation is adopted to deal with their dependencies. To simulate the motor speed impact on the cooling ability, motor speed is involved in the variable thermal conductance of the motor housing inside the surroundings by another polynomial equation. This article describes how to get the most parameters of the proposed real-time thermal model through motor basic dimensional information and introduces the test methods employed to determine the parameters of the above two polynomial equations. In the experiments, first the thermal model building process is provided by an actual permanent magnet synchronous motor with two simple tests, and then the online analytical expressions with the obtained parameters are implemented in the drive controller to verify the performance of the proposed real-time thermal model. The results of the performance tests show that the real-time thermal model has a good agreement between estimated and measured temperature values, and its performance can satisfy the most actual applications.
机译：本文介绍了适用于永磁同步电动机温度预测的实时热模型。大多数永磁同步电动机的负载能力通常受温度限制，并且过热是永磁同步电动机发生故障的主要原因之一，因此适用的温度预测方法有助于提高电动机利用率并保护永磁同步电动机免受损坏。热变形。与将温度传感器嵌入电动机结构相比，在电动机控制器中实现实时热模型是一种经济高效的快速响应保护方法，但仍然面临着温度估算精度，模型参数的复杂性和计算上的挑战。努力。为了平衡这些挑战的各个方面，本文尝试通过简单地对定子铁心损耗建模并考虑电动机本身的冷却能力，来使用简单的实时热模型来准确预测热性能。分析了电动机电流和速度对铁损的影响，并采用多项式方程来处理它们的相关性。为了模拟电动机速度对冷却能力的影响，电动机速度通过另一个多项式方程参与环境内部电动机壳体的可变热导率。本文介绍了如何通过电动机基本尺寸信息获取所提出的实时热模型的最大参数，并介绍了用于确定上述两个多项式方程式参数的测试方法。在实验中，首先通过实际的永磁同步电动机通过两个简单的测试来提供热模型的建立过程，然后在驱动控制器中实现带有获得的参数的在线解析表达式，以验证所提出的实时性热模型。性能测试的结果表明，实时热模型在估计的温度值和测量的温度值之间具有良好的一致性，并且其性能可以满足大多数实际应用。

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