Reliability evaluation of IGBT power module on electric vehicle using big data

作     者：Li Liu Lei Tang Huaping Jiang Fanyi Wei Zonghua Li Changhong Du Qianlei Peng Guocheng Lu Li Liu;Lei Tang;Huaping Jiang;Fanyi Wei;Zonghua Li;Changhong Du;Qianlei Peng;Guocheng Lu

作者机构：The School of Electrical EngineeringChongqing UniversityChongqing 400044China The Deepal Automobile Technology Co.Ltd.Chongqing 400023China 

出 版 物：《Journal of Semiconductors》 (半导体学报（英文版）)

年 卷 期：2024年第45卷第5期

页      面：50-60页

核心收录：

学科分类：080903[工学-微电子学与固体电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0807[工学-动力工程及工程热物理] 080501[工学-材料物理与化学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 

主　　题：IGBT junction temperature neural network electric vehicles big data 

摘      要：There are challenges to the reliability evaluation for insulated gate bipolar transistors(IGBT)on electric vehicles,such as junction temperature measurement,computational and storage *** this paper,a junction temperature estimation approach based on neural network without additional cost is proposed and the lifetime calculation for IGBT using electric vehicle big data is *** direct current(DC)voltage,operation current,switching frequency,negative thermal coefficient thermistor(NTC)temperature and IGBT lifetime are *** the junction temperature(T_(j))is *** the rain flow counting method,the classified irregular temperatures are brought into the life model for the failure *** fatigue accumulation method is then used to calculate the IGBT *** solve the limited computational and storage resources of electric vehicle controllers,the operation of IGBT lifetime calculation is running on a big data *** lifetime is then transmitted wirelessly to electric vehicles as input for neural *** the junction temperature of IGBT under long-term operating conditions can be accurately estimated.A test platform of the motor controller combined with the vehicle big data server is built for the IGBT accelerated aging ***,the IGBT lifetime predictions are derived from the junction temperature estimation by the neural network method and the thermal network *** experiment shows that the lifetime prediction based on a neural network with big data demonstrates a higher accuracy than that of the thermal network,which improves the reliability evaluation of system.