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Non-Invasive Parameter and Loss Determination in PMSM Considering the Effects of Saturation, Cross-Saturation, Time Harmonics, and Temperature Variations

机译:考虑饱和,交叉饱和度,时间谐波和温度变化的影响,PMSM中的非侵入参数和损耗测定

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摘要

Accurate determination of losses and parameters in wide speed, torque, and temperature conditions in interior permanent-magnet synchronous motor (IPMSM) used in electric vehicles (EVs) enables improved modeling of torque and efficiency, thus leading to enhanced design and control performance. This article develops a novel and non-invasive method toward the determination of machine parameters such as stator resistance, inductances, and PM flux linkage by considering the effects of saturation, cross-saturation, time harmonics, and temperature. The fundamental and harmonic losses are determined and their effects on the parameters are also incorporated. A coupled analytical and experimental procedure that involves solving the mathematical models for parameter, loss, and temperature determination using online terminal measurements has been developed. A lumped parameter thermal network (LPTN) model has been used to derive the stator core temperature, and the fundamental and harmonic copper and core losses have been solved considering the effects of the operating temperature. The effect of time harmonics is also included in the loss models. The results from the improved PMSM model using the derived parameters and the accuracy of the results from the developed method have been validated through experimental investigations on a laboratory traction IPMSM prototype.
机译:在电动车辆(EVS)中使用的内部永磁同步电动机(IPMSM)中的宽速度,扭矩和温度条件的损耗和参数的精确测定能够改进扭矩和效率的建模,从而提高设计和控制性能。本文通过考虑饱和,交叉饱和度,时间谐波和温度的影响,开发一种新颖的和非侵入性方法,朝着定子电阻,电感和PM通量连杆等机器参数。确定基本和谐波损失,并纳入其对参数的影响。已经开发了一种耦合的分析和实验程序,涉及使用在线终端测量的参数,损耗和温度测定来解决数学模型。一块参数热网络(LPTN)模型已被用于得出定子核心温度,并且考虑了操作温度的影响,已经解决了基本和谐波铜和核心损失。时间谐波的效果也包括在损失模型中。通过在实验室牵引IP​​MSM原型的实验研究中验证了使用衍生参数的改进的PMSM模型的结果和由开发方法的结果的准确性。

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