A Novel Health Level Estimation of Liquid Aluminum Electrolytic Capacitor for Enterprise SSD Applications

As one of the most common basic electronic components on the circuit board, liquid aluminum electrolytic capacitor is widely used in integrated circuits. In the field of enterprise Solid State Device (eSSD), liquid aluminum electrolytic capacitors are used as energy storage capacitors. At the moment of sudden power failure of eSSD power supply, the capacitor provides power for the system to ensure the data integrity of eSSD. Due to the physical characteristics of electrolyte volatile conductance of liquid aluminum electrolytic capacitor, it will lead to the decrease of capacitance value. It is necessary to study the capacitance attenuation curve of liquid aluminum electrolytic capacitor. This paper introduces several methods for estimating the life of aluminum electrolytic capacitors, but these algorithms are not suitable for SSD application scenario, and the accuracy of the algorithms is not high in SSD application scenario. Based on the demand of eSSD feasibility analysis for the life of liquid aluminum electrolytic capacitor, a new estimation method is proposed to estimate capacitor health level. According to the application scenario of eSSD, a series of DOE (Design of Experiment) tests are made by using partial factor design method, and the capacitance attenuation curve and influence factors of liquid aluminum electrolytic capacitor are obtained. The mixed model is used to fit the attenuation formula of liquid aluminum electrolytic capacitor, and the error is analysed. Compared with other life estimation methods, the proposed life estimation method is more accurate in SSD field, which provides sufficient basis for eSSD engineers to select the liquid aluminum electrolytic capacitor.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10861915
Primary Topic
Advanced Data Storage Technologies
Type
article
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article

A Novel Health Level Estimation of Liquid Aluminum Electrolytic Capacitor for Enterprise SSD Applications

Ziang Zhou, Guangming Xie, Honglei Wu, Yuzhong Wang
Advanced Data Storage Technologies
article

A Novel Health Level Estimation of Liquid Aluminum Electrolytic Capacitor for Enterprise SSD Applications

Ziang Zhou, Guangming Xie, Honglei Wu, Yuzhong Wang
article en

Abstract

As one of the most common basic electronic components on the circuit board, liquid aluminum electrolytic capacitor is widely used in integrated circuits. In the field of enterprise Solid State Device (eSSD), liquid aluminum electrolytic capacitors are used as energy storage capacitors. At the moment of sudden power failure of eSSD power supply, the capacitor provides power for the system to ensure the data integrity of eSSD. Due to the physical characteristics of electrolyte volatile conductance of liquid aluminum electrolytic capacitor, it will lead to the decrease of capacitance value. It is necessary to study the capacitance attenuation curve of liquid aluminum electrolytic capacitor. This paper introduces several methods for estimating the life of aluminum electrolytic capacitors, but these algorithms are not suitable for SSD application scenario, and the accuracy of the algorithms is not high in SSD application scenario. Based on the demand of eSSD feasibility analysis for the life of liquid aluminum electrolytic capacitor, a new estimation method is proposed to estimate capacitor health level. According to the application scenario of eSSD, a series of DOE (Design of Experiment) tests are made by using partial factor design method, and the capacitance attenuation curve and influence factors of liquid aluminum electrolytic capacitor are obtained. The mixed model is used to fit the attenuation formula of liquid aluminum electrolytic capacitor, and the error is analysed. Compared with other life estimation methods, the proposed life estimation method is more accurate in SSD field, which provides sufficient basis for eSSD engineers to select the liquid aluminum electrolytic capacitor.

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Advanced Data Storage Technologies
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