基于磁路法的分段气隙磁心电感器磁损计算OA
Core Loss Calculation of Segmented Air Gap Core Inductor Based on Magnetic Circuit Method
在开关电源电感器与变压器的设计中,磁路参数的计算具有重要意义.针对中柱分段气隙的磁心磁阻和磁心损耗难以精确计算的问题,以EC型电感器磁心为例,基于精确域求解和保角变换,提出1种改进的电感器磁心磁路模型.通过理论分析,推导出磁心中柱气隙附近扩散磁通等效磁阻的解析表达式,并提出了 1种磁心内角不均匀磁通的磁阻计算模型.最后,在ANSYS Maxwell仿真软件的涡流场中建立3D模型并进行实物实验,将理论所得与仿真结果、实验数据进行对比,验证了理论分析的准确性,为开关电源中分段气隙的电感器或变压器的各类磁心的优化设计和工业生产提供了理论指导和参考.
In the design of inductors for switching power supply and transformers,the calculation of magnetic circuit parameters is of significance.Given that it is difficult to accurately calculate the core reluctance and core loss of the center-column segmented air gap,an improved magnetic circuit model of the inductor core is proposed with an EC-type inductor core as an example,which is based on the exact domain solution and conformal transformation.Through theoretical analysis,the analytical expression for the equivalent magnetic reluctance of diffused magnetic flux near the center-column air gap in the magnetic core is derived,and a calculation model of magnetic reluctance for the uneven magnetic flux in the inner angle of the magnetic core is put forward as well.Finally,a 3D model was established in the eddy current field of ANSYS Maxwell simulation software,and physical experiments were also carried out.A comparison of theoretical results with simulation results and experimental data verified the accuracy of the theoretical analysis,providing theoretical guidance and reference for the optimization design and industrial production of various magnetic cores of inductors or transformers used in segmented air gaps in switching power supply.
谷爱昱;符立泉;董越
广东工业大学自动化学院,广州 510006广东工业大学自动化学院,广州 510006国网宁夏电力有限公司中卫供电公司,中卫 755000
信息技术与安全科学
分段气隙电感器磁心磁路模型扩散磁通磁阻计算
Segmented air gapinductor coremagnetic circuit modeldiffused magneticfluxreluctance calculation
《电源学报》 2026 (2)
10-17,8
国家自然青年基金资助项目(62103109)广州市科技计划资助项目(201802010045)This work is supported by National Natural Science Foundation of China under the grant 62103109Guangzhou Science and Technology Planning Project under the grant 201802010045
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