Electromagnetic-Thermal Modeling of Nonlinear Magnetic Materials

IF 1.8 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-12-16 DOI:10.1109/JMMCT.2022.3229963
Hongliang Li;Philip T. Krein;Jian-Ming Jin
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引用次数: 3

Abstract

A nonlinear electromagnetic (EM)-thermal coupled solver is developed for modeling ferromagnetic materials widely used in electric motors. To accurately predict machine performance, the time-domain finite element method is employed to solve this multiphysics problem. By adopting the nonlinear B-H models to account for hysteresis effects, magnetic core losses are computed as the major sources of power dissipation for magnetic materials. The resulting temperature change is then obtained and its effect on the magnetic properties is subsequently evaluated. Due to different time scales of EM field variations and heat transfer processes, different time step sizes are adopted to enhance the simulation speed. During thermal time marching, the EM solver is invoked adaptively based on material property changes, and EM losses are calculated and updated through extrapolation, resulting in an efficient EM-thermal coupling scheme. Numerical examples are presented to validate the accuracy and capabilities of the proposed EM-thermal co-simulation framework.
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非线性磁性材料的电磁-热建模
开发了一种非线性电磁(EM)-热耦合求解器,用于对电机中广泛使用的铁磁材料进行建模。为了准确预测机器性能,采用时域有限元方法来解决这一多物理问题。通过采用非线性B-H模型来考虑磁滞效应,计算了磁芯损耗作为磁性材料功耗的主要来源。然后获得所产生的温度变化,并随后评估其对磁性能的影响。由于电磁场变化和传热过程的时间尺度不同,采用了不同的时间步长来提高模拟速度。在热时间推进过程中,根据材料特性变化自适应调用EM求解器,并通过外推计算和更新EM损耗,从而形成有效的EM热耦合方案。通过数值算例验证了所提出的EM热协同仿真框架的准确性和能力。
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CiteScore
4.30
自引率
0.00%
发文量
27
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