Reliability and Economic Analysis of a Modular Converter With Three Vienna Converters Connected in Parallel

This paper analyzes the reliability of a 90kW modular converter with three Vienna converters in parallel modules. We designed a Markov model for partial failures and analyzed reliability for a configuration where each module has 30 kW without redundancy and a configuration where each module has 45 kW and 90 kW with redundancy. In the case of 45kW and 90kW modules with redundancy effects, if a failure occurs in any of the three parallel modules, the module that can operate normally will share the power of the failed module. Therefore, the current stress applied to the components of the Vienna converter increases, and the junction temperature of the switching devices increases, which raises the failure rate of the Vienna converter. This paper improves the accuracy of reliability analysis by reflecting the increase in failure rate according to the operating temperature of the components when the Vienna converter operates under maximum load conditions. Simulations are performed for various partial failure conditions, and Markov models and cost models are designed to analyze the correlation between reliability and price according to the redundancy effect. The redundancy effect due to module margin increases the mean time to failure (MTTF) by up to 4.6 times. However, it should be noted that when each Vienna converter module is designed as 90kW, the cost increases by USD 253 compared to when it is intended as 30kW.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3590352
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Reliability and Economic Analysis of a Modular Converter With Three Vienna Converters Connected in Parallel

Guangxu Zhou, Feel‐soon Kang, Sang-Hyeok Lee, Jae-Seong Jo
1 links
IEEE Access
Silicon Carbide Semiconductor Technologies
article

Reliability and Economic Analysis of a Modular Converter With Three Vienna Converters Connected in Parallel

Guangxu Zhou, Feel‐soon Kang, Sang-Hyeok Lee, Jae-Seong Jo
article en

Abstract

This paper analyzes the reliability of a 90kW modular converter with three Vienna converters in parallel modules. We designed a Markov model for partial failures and analyzed reliability for a configuration where each module has 30 kW without redundancy and a configuration where each module has 45 kW and 90 kW with redundancy. In the case of 45kW and 90kW modules with redundancy effects, if a failure occurs in any of the three parallel modules, the module that can operate normally will share the power of the failed module. Therefore, the current stress applied to the components of the Vienna converter increases, and the junction temperature of the switching devices increases, which raises the failure rate of the Vienna converter. This paper improves the accuracy of reliability analysis by reflecting the increase in failure rate according to the operating temperature of the components when the Vienna converter operates under maximum load conditions. Simulations are performed for various partial failure conditions, and Markov models and cost models are designed to analyze the correlation between reliability and price according to the redundancy effect. The redundancy effect due to module margin increases the mean time to failure (MTTF) by up to 4.6 times. However, it should be noted that when each Vienna converter module is designed as 90kW, the cost increases by USD 253 compared to when it is intended as 30kW.

IEEE AccessVol. 13
Qilu University of Technology (CN), Gyeongsang National University (KR), Korea Electronics Technology Institute (KR), Shandong Academy of Sciences (CN)
Korea Institute of Energy Technology Evaluation and Planning
Openalex Percentile: Top 83%
Silicon Carbide Semiconductor Technologies
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Reliability and Economic Analysis of a Modular Converter With Three Vienna Converters Connected in Parallel — Guangxu Zhou, Feel‐soon Kang, et al. · IEEE Access (2025) | TGRS Research Map | TGRS