综合考虑材料热各向异性与多种传热方式的磁性元件热阻网络精准模型

doi:10.19595/j.cnki.1000-6753.tces.230072

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Abstract

The development trend of magnetic components is higher frequency, smaller volume and higher power density. With the increase of power density, heat dissipation becomes a key factor affecting the reliable operation of magnetic components, which puts forward higher requirement for thermal analysis of magnetic components. The traditional thermal analysis models have some problems such as long calculation time and single heat transfer way. In addition, the thermal anisotropy, different distribution of loss density in magnetic core and interaction effect between temperature and loss are usually ignored. In order to meet the calculation requirements of a large number of data points in the magnetic components optimization design and match the actual working condition with complex heat dissipation ways, a precise and generalized analytical thermal modeling method is needed. The inductor made of EE type magnetic core is taken as an example, and three-axis nine-thermal-resistance network model proposed in previous studies for solving problem of heat conduction with thermal anisotropy being considered is introduced. A three-axis fifteen-thermal-resistance network model considering multiple heat transfer ways, thermoelectric coupling, material thermal anisotropy and actual loss distribution of magnetic core was proposed. For multiple heat transfer ways, the influence of heat conduction, heat convection and heat radiation should be incorporated into the model because high power density magnetic components are often used with water cooling, air cooling or other cooling structures. And the influence of heat convection and heat radiation has been considered in the model in the form of air thermal resistances. The distribution of magnetic field has influence on the distribution of loss density in each area. And the loss distribution of magnetic core is calculated by the 2D finite element simulation of the actual magnetic field in order to match the actual condition. The loss of winding and magnetic core requires iterative calculation because temperature has influence on the iron loss density of magnetic core and electrical conductivity of copper while the winding loss and magnetic core loss both influencing the temperature. In addition, the thermal anisotropy is considered in the model. The conduction thermal resistances of different axis in Cartesian coordinate system are calculated respectively by different thermal conductivity due to thermal anisotropy. At the frequency of 50 kHz, three working conditions of V_p=350 V, V_p=460 V and V_p=590 V were selected for experiment. The temperature measuring results and calculating results are given and the accuracy of model was verified. The results show that the max relative error for the calculation of magnetic core temperature is no more than 14% and the max relative error in the highest temperature area of magnetic core is no more than 6% under three working conditions. In the comparison with other thermal resistance network model, the precision of thermal resistance network model can be improved by considering the material thermal anisotropy, thermoelectric coupling and the actual distribution of core loss. The single calculation time of the model can be reduced from several hours in 3D finite element simulation to almost one millisecond in thermal resistance network, and the total calculation time of thermal resistance network model can meet the time requirement of calculating a large number of design points for the optimization of a specific structure magnetic core. Based on the comprehensive thermal resistance network model, a general thermal modeling method is summarized for magnetic components composed of EE, EI, UU and other typical magnetic cores. The thermal equivalent modeling of air gap, the influence of edge effect and leakage flux on flux density near the air gap can be considered in the model in the future. A more comprehensive analytical analysis of the temperature field can be carried out and more precise temperature field calculation results can be obtained, providing a more reliable reference for the heat dissipation design of magnetic components.

Key words： Magnetic device thermal anisotropy of the material multiple heat transfer modes actual loss distribution lumped-parameter thermal resistance network

Received: 18 January 2023

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TM47

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	Guo Xuan
	Xiao Yunhao
	Li Chi
	Zheng Zedong

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Guo Xuan,Xiao Yunhao,Li Chi等. An Accurate Thermal Resistance Network Model for Magnetic Elements Considering Thermal Anisotropy of Materials and Various Heat Transfer Ways[J]. Transactions of China Electrotechnical Society, 0, (): 20235433-20235433.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.230072 OR https://dgjsxb.ces-transaction.com/EN/Y0/V/I/20235433

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