Cumulative Degradation Modeling of Electrolytic Capacitors Considering Stress Interactions in Industrial Applications

Qisen Sun, Cen Chen*, Zicheng Wang, Xuerong Ye, Min Xie, Guofu Zhai

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Electrolytic capacitors are vital to the functionality of power electronic converters, with their degradation significantly affecting the safety and reliability of these devices. Capacitors typically operate under dynamic rather than constant stress levels in industrial applications. Quantifying the degradation under dynamic stress is challenging, as it requires consideration of the potential stress interactions. Although such interactions can profoundly affect degradation paths, they are often overlooked, leading to significant deviations between reliability predictions and engineering practices. This article introduces a cumulative degradation model that considers stress interactions to enhance the accuracy of degradation prediction under dynamic stress. This article not only identifies the existence of path dependence in the degradation of electrolytic capacitor parameters but also, building upon this, presents a method for integrating stress interactions with the existing foundation of degradation modeling under constant stress conditions. A path adjustment factor is introduced to enhance prediction accuracy and provide a detailed methodology for the experimental and data analysis required for its estimation. Experimental evidence confirms the practical applicability and accuracy of the method. Compared to conventional models, the proposed method considerably enhances computational accuracy. © 2025 IEEE. All rights reserved.
Original languageEnglish
JournalIEEE Transactions on Industrial Electronics
Online published28 Feb 2025
DOIs
Publication statusOnline published - 28 Feb 2025

Research Keywords

  • Aging
  • capacitors
  • degradation analysis
  • power electronics
  • reliability

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