摘要
随着电机驱动器功率密度的不断提升,散热优化问题已成为其可靠性设计面临的主要问题之一。为了提升高功率密度化电机驱动器的热可靠性,依据高功率密度化驱动器层间隙传热模式分析以及热源分析,提出热-结构改进设计方案,然后单独针对功率模块进行散热优化,建立了散热器模型,给出了基于散热器的散热优化方案,采用遗传算法对散热器关键参数进行设计,得到散热器最优结构和参数,最后通过仿真和实验验证了所提出散热优化方案的可行性和有效性,能够为高功率密度电机驱动器的热可靠性设计提供依据。
With the continuous improvement of motor driver power density, heat dissipation optimization has become one of the main problems in reliability design. In order to improve the thermal reliability of high power density motor driver, the thermal-structural improvement design scheme of driver was proposed based on the analysis of layer gap heat transfer mode and heat source. Then, the heat dissipation optimization of power module was optimized, the radiator model was established, and the heat dissipation optimization scheme based on radiator was given. Finally, feasibility and effectiveness of proposed dissipation optimization scheme were verified by simulation and experiment, which can provide basis for the thermal reliability design of high power density motor driver.
作者
牛峰
张熙萌
黄少坡
黄晓艳
吴立建
方攸同
NIU Feng;ZHANG Xi-meng;HUANG Shao-po;HUANG Xiao-yan;WU Li-jian;FANG You-tong(Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province,Hebei University of Technology,Tianjin 300130,China;State Key Laboratory of Reliability and Intelligence of Electrical Equipment,Hebei University of Technology,Tianjin 300130,China;College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;Changshu Switch Manufacturing Co.,Ltd,Changshu 215500,China;Aerospace Science and Industry Inertial Technology Co.,Ltd,Beijing 100071,China)
出处
《电机与控制学报》
EI
CSCD
北大核心
2022年第7期58-67,共10页
Electric Machines and Control
基金
国家自然科学基金(51707174,52077054)
河北省优秀青年科学基金(E2019202092)
中国博士后科学基金(2021T140077,2020M681446)
河北省自然科学基金创新群体项目(E2020202142)
河北省研究生创新资助项目(CXZZSS2020038)。
关键词
电机驱动器
高功率密度
散热优化
遗传算法
热-结构改进
散热器
motor driver
high power density
heat dissipation optimization
genetic algorithm
thermal-structural improvement
radiator
