The accuracy of motor characteristics prediction according to driving cycle can be improved by taking temperature change of motor into account. From this point of view, this paper proposes a fast and accurate coupled analysis method. To calculate motor circuit parameters, electromagnetic finite element analysis (FEA) is used. The proposed method consists of two stages to exclude the time consuming FEA from repetitive process. In pre-process stage, the circuit parameters are stored as look-up tables (LUTs) considering motor temperature. Further, a technique that allows reducing the number of analyses is developed to consider a wide operating temperature range with less time consumption. In main process stage, the torque and voltage equations are solved using the circuit parameter LUTs. Among the solved motor characteristics, losses are applied to lumped parameter thermal network (LPTN) as heat sources to figure out thermal characteristics. Here, techniques including loss separation and thermal parameter tuning are introduced to improve both accuracy and speed of the LPTN. Since the computation of the characteristic equations and LPTN are fast, the iterative analysis at entire time steps of the driving cycle is facilitated. An example of the proposed method is presented using worldwide harmonized light vehicle test procedure (WLTP). Thereafter, the effectiveness of the method is discussed by comparison with conventional methods. Finally, the experimental verifications are conducted to validate the electromagnetic FEA and LPTN used in this study.

中文翻译：

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根据电动汽车行驶周期预测牵引电机特性的电磁热耦合分析


通过考虑电机的温度变化，可以提高根据行驶周期的电机特性预测的准确性。从这个角度来看，本文提出了一种快速、准确的耦合分析方法。为了计算电机电路参数，使用电磁有限元分析（FEA）。所提出的方法由两个阶段组成，以从重复过程中排除耗时的有限元分析。在预处理阶段，考虑电机温度，电路参数存储为查找表（LUT）。此外，还开发了一种可以减少分析次数的技术，以更少的时间消耗来考虑较宽的工作温度范围。在主处理阶段，使用电路参数 LUT 求解扭矩和电压方程。在求解的电机特性中，将损耗应用于作为热源的集总参数热网络（LPTN），以计算出热特性。这里引入了损耗分离和热参数调整等技术来提高 LPTN 的精度和速度。由于特征方程和LPTN的计算速度很快，因此有利于驾驶循环的整个时间步长的迭代分析。使用全球统一轻型车辆测试程序（WLTP）展示了所提出方法的示例。然后，通过与传统方法的比较来讨论该方法的有效性。最后，进行实验验证以验证本研究中使用的电磁有限元分析和LPTN。