模块化多电平换流器压接式子模块寿命预测  

Modular Multilevel Converter Press-Pack Sub-Module Lifetime Prediction

作　　者：任柳清 汪隆君[1] 王钢[1] 张铮[2,3] 俞鹏飞 REN Liuqing;WANG Longjun;WANG Gang;ZHANG Zheng;YU Pengfei(School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China;CEPREI,Guangzhou 510610,China;Guangdong Provincial Key Laboratory of Reliability Technology for Electronic Information Products,Guangzhou 510640,China;Science and Technoloqy on Reliability Physics and Application of Electronic Component Laboratory,Guangzhou 510640,China)

机构地区：[1]华南理工大学电力学院,广东广州510640 [2]工业和信息化部电子第五研究所,广东广州510610 [3]广东省电子信息产品可靠性技术重点实验室,广东广州510610 [4]电子元器件可靠性物理及其应用技术重点实验室,广东广州510610

出　　处：《电子产品可靠性与环境试验》2020年第5期21-27,共7页Electronic Product Reliability and Environmental Testing

基　　金：国家重点实验室开放基金项目(ZHD201804)资助。

摘　　要：为了量化模块化多电平换流器的子模块的寿命并探明制约其寿命的薄弱环节,提出了一种压接式子模块寿命预测方法。该方法解析子模块电流,分析了换流桥臂散热路径,并通过热电比拟建立等效热网络模型;结合热网络将换流器任务剖面映射为结温波动曲线;运用雨流计数法统计温度循环信息,结合线性累计损伤理论和寿命模型预测压接式子模块的寿命。最后,搭建柔性直流输电系统验证了所提出的子模块寿命预测模型的有效性,并分析了冷却水流速和散热系统等效热阻对寿命的影响。In order to quantify the life of the sub-modules of the modular multilevel converter and find out the weak links that restrict its life,a press-pack sub-module life prediction method is proposed.The sub-module current and the heat dissipation path of the converter bridge arm are analyzed,and the equivalent thermal network model is established through thermoelectric comparison.Combined with the thermal network,the mission proficle of the converter is mapped to the junction temperature fluctuation curve.The rainflow counting method is used to count the temperature cycle information,and the linear cumulative damage theory and the life model are combined to predict the life of the press-pack sub-module.Finally,a flexible DC transmission system is built to verify the validity of the proposed sub-module life prediction model,and the impact of cooling water flow rate and equivalent thermal resistance of the cooling system on life is analyzed.

关 键 词：模块化多电平换流器 压接式IGBT 热网络模型 寿命预测 散热系统 

分 类 号：TB114.35[理学—概率论与数理统计]