摘要
IGBT模块内部宽频振荡类型多、频率范围宽、振荡机理复杂,现有宽频振荡方面的研究面临着表征不清、机理不明等问题,难以快速准确地对模块内部宽频振荡问题进行分析。为此,针对大功率多芯片功率模块的宽频振荡问题,提出完整的表征和分析方法,基于近磁场辐射信号可实现宽频振荡的在线时频空特征定位。首先,分析功率模块近磁场的产生机理,选择空间近磁场信号来表征功率模块内部宽频振荡现象;系统阐述基于双脉冲测试的表征平台架构、在线时频空特征定位和离线工况重构算法的实现。实验结果表明,构建的表征平台可有效表征功率模块中的宽频振荡问题,可清晰定位产生宽频振荡的阶段和器件,基于离散测试工况下的测试结果可精准预测变换器实际运行工况下频谱峰值对应的频率,低频和高频下的振荡峰值预测误差分别不超过3和5 dBμV,频谱上包络的皮尔逊相似度系数为0.814,整体变化趋势一致,为宽频振荡建模、分析提供一定指标和实验工具。
The broadband oscillation in IGBT modules,with numerous types,wide frequency ranges,and complex oscillation mechanisms,causes existing research to be faced with the problems of unclear characterization and mechanism,which makes it difficult to analyze the internal broadband oscillation problems of the module.Therefore,this paper proposes a complete characterization and analysis method for the broadband oscillation of high-power multi-chip power modules,and realizes the online time-frequency and spatial feature localization of broadband oscillation based on the near-magnetic field radiation signal.Firstly,this paper analyze the generation mechanism of the near-magnetic field of the power module,and the spatial near-magnetic field signal is selected to characterize the broadband oscillation phenomenon inside the power module.This paper systematically expounds the implementation of the characterizat ion platform architecture based on the double pulse test,onl ine time-frequency and spatial feature localization,and offline working condition reconstruction algorithm.The experimental results show that the proposed characterization platform can effectively characterize the broadband oscillation problem in the power module,clearly identify the stage and device of the broadband oscillation,and predict the frequency corresponding to the spectral peak under the actual operating condition of the converter based on the test results under discrete test ing conditions.The prediction errors of oscillation peaks at low and high frequencies are no more than 3 and 5 dBμV respectively,and the Pearson similarity coefficient of the envelope on the spectrum is 0.814,indicating that the overall trend is consistent.This study provides indicators and experimental tools for the modeling and analysis of broadband oscillation.
作者
罗皓泽
李菁新
海栋
叶朔煜
朱安康
李武华
何湘宁
LUO Haoze;LI Jingxin;HAI Dong;YE Shuoyu;ZHU Ankang;LI Wuhua;HE Xiangning(College of Electrical Engineering,Zhejiang University,Hangzhou 310027,Zhejiang Province,China)
出处
《中国电机工程学报》
北大核心
2025年第17期6897-6909,I0024,共14页
PROCEEDINGS OF THE CHINESE SOCIETY FOR ELECTRICAL ENGINEERING
基金
国家自然科学基金(面上项目)(52477201)
浙江省杰出青年基金项目(LR24E070001)
铁路基础研究联合基金项目(U2368206)。
关键词
宽频振荡定位
近磁场特性
离线重构
broadband oscillation localization
near-magnetic field characteristics
offline reconstruction
