Lifetime Evaluation of Traction Converter IGBT Based on Operating Conditions and Component Aging

IGBT's lifetime is greatly influenced by the operation conditions of train and the current aging degree of IGBT. However, the influences of train operation conditions and current life of an IGBT on the life assessment are normally not considered. This paper takes the IGBT of traction converter...

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Main Authors: LI Dong, HE Haopeng, PENG Yangbin, XIN Kaiyue, YAO Xianping, GE Xinlai
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2022-08-01
Series:Kongzhi Yu Xinxi Jishu
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Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.04.015
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author LI Dong
HE Haopeng
PENG Yangbin
XIN Kaiyue
YAO Xianping
GE Xinlai
author_facet LI Dong
HE Haopeng
PENG Yangbin
XIN Kaiyue
YAO Xianping
GE Xinlai
author_sort LI Dong
collection DOAJ
description IGBT's lifetime is greatly influenced by the operation conditions of train and the current aging degree of IGBT. However, the influences of train operation conditions and current life of an IGBT on the life assessment are normally not considered. This paper takes the IGBT of traction converter of high-speed EMU as the research subject to evaluate its reliability. Simulink is used to build a traction converter circuit, and simulate a complete operating condition of a train by changing load power, so as to extract the information of voltage and current of the converters, and calculate driving signal of IGBT. Considering the IGBT devices with different aging degrees, a Foster thermal network model is established, and the thermal loss of the IGBT device is calculated to obtain the information of device junction temperature by Simulink and PLECS electro-thermal co-simulation. Data of junction temperature is statistically calculated by rain flow counting method. Life prediction model is used to calculate the cumulative loss and the residual lifetime of an IGBT, and finally, the cumulative loss of IGBTs with different aging degrees is obtained based on the operating conditions of one complete process. Two life prediction models of LESIT and Norris-Landzberg are used in this paper and the lifetime of an IGBT is calculated with the results of 21.02 and 27.75 years respectively. As aging degree increases, the cumulative loss of every run will increase linearly. This scheme gives an IGBT lifetime evaluation process based on a complete operating condition. Compared with other IGBT lifetime evaluation methods, the factors are considered more comprehensively, and the prediction results are more accurate.
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spelling doaj-art-20c06a4ab77e4190bcc9db95a9b04fcd2025-08-25T06:49:27ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272022-08-01899432205382Lifetime Evaluation of Traction Converter IGBT Based on Operating Conditions and Component AgingLI DongHE HaopengPENG YangbinXIN KaiyueYAO XianpingGE XinlaiIGBT's lifetime is greatly influenced by the operation conditions of train and the current aging degree of IGBT. However, the influences of train operation conditions and current life of an IGBT on the life assessment are normally not considered. This paper takes the IGBT of traction converter of high-speed EMU as the research subject to evaluate its reliability. Simulink is used to build a traction converter circuit, and simulate a complete operating condition of a train by changing load power, so as to extract the information of voltage and current of the converters, and calculate driving signal of IGBT. Considering the IGBT devices with different aging degrees, a Foster thermal network model is established, and the thermal loss of the IGBT device is calculated to obtain the information of device junction temperature by Simulink and PLECS electro-thermal co-simulation. Data of junction temperature is statistically calculated by rain flow counting method. Life prediction model is used to calculate the cumulative loss and the residual lifetime of an IGBT, and finally, the cumulative loss of IGBTs with different aging degrees is obtained based on the operating conditions of one complete process. Two life prediction models of LESIT and Norris-Landzberg are used in this paper and the lifetime of an IGBT is calculated with the results of 21.02 and 27.75 years respectively. As aging degree increases, the cumulative loss of every run will increase linearly. This scheme gives an IGBT lifetime evaluation process based on a complete operating condition. Compared with other IGBT lifetime evaluation methods, the factors are considered more comprehensively, and the prediction results are more accurate.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.04.015IGBTlifetime predictiontraction converteroperation conditionaging level
spellingShingle LI Dong
HE Haopeng
PENG Yangbin
XIN Kaiyue
YAO Xianping
GE Xinlai
Lifetime Evaluation of Traction Converter IGBT Based on Operating Conditions and Component Aging
Kongzhi Yu Xinxi Jishu
IGBT
lifetime prediction
traction converter
operation condition
aging level
title Lifetime Evaluation of Traction Converter IGBT Based on Operating Conditions and Component Aging
title_full Lifetime Evaluation of Traction Converter IGBT Based on Operating Conditions and Component Aging
title_fullStr Lifetime Evaluation of Traction Converter IGBT Based on Operating Conditions and Component Aging
title_full_unstemmed Lifetime Evaluation of Traction Converter IGBT Based on Operating Conditions and Component Aging
title_short Lifetime Evaluation of Traction Converter IGBT Based on Operating Conditions and Component Aging
title_sort lifetime evaluation of traction converter igbt based on operating conditions and component aging
topic IGBT
lifetime prediction
traction converter
operation condition
aging level
url http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.04.015
work_keys_str_mv AT lidong lifetimeevaluationoftractionconverterigbtbasedonoperatingconditionsandcomponentaging
AT hehaopeng lifetimeevaluationoftractionconverterigbtbasedonoperatingconditionsandcomponentaging
AT pengyangbin lifetimeevaluationoftractionconverterigbtbasedonoperatingconditionsandcomponentaging
AT xinkaiyue lifetimeevaluationoftractionconverterigbtbasedonoperatingconditionsandcomponentaging
AT yaoxianping lifetimeevaluationoftractionconverterigbtbasedonoperatingconditionsandcomponentaging
AT gexinlai lifetimeevaluationoftractionconverterigbtbasedonoperatingconditionsandcomponentaging