基于PSO-BP算法的IGBT结温预测方法分析  

Analysis of IGBT Junction Temperature Prediction Method Based on PSO-BP Algorithm

作　　者：郭天星 GUO Tianxing(Department of Mechanical and Electrical Engineering,Shanxi Railway Vocational and Technical College,Shanxi 030013,China)

机构地区：[1]山西铁道职业技术学院机电工程系,山西030013

出　　处：《电子技术（上海）》2022年第11期1-3,共3页Electronic Technology

摘　　要：针对IGBT结温难以直接测量的缺陷,阐述IGBT结温测量平台,选取不同IC的VCE温敏参数预测结温,分别离线采集实验数据,并分别搭建基于BP神经网络和PSO-BP算法的结温预测模型。实验结果表明,采用PSO-BP算法预测IGBT结温较BP神经网络更接近实测数据,误差更低。Aiming at the defect that IGBT junction temperature is difficult to measure directly,this paper describes IGBT junction temperature measurement platform,selects Vce temperature sensitive parameters of different Ics to predict junction temperature,collects experimental data offline respectively,and builds junction temperature prediction models based on BP neural network and PSO-BP algorithm respectively.The experimental results show that the predicted IGBT junction temperature using PSO-BP algorithm is closer to the measured data than BP neural network,and the error is lower.

关 键 词：IGBT BP神经网络 PSO-BP算法 结温预测模型 

分 类 号：TN322.8[电子电信—物理电子学]