Reliability and failure analysis of DC/DC converter and case studies

Yao, Bin; Chen, Hui; He, Xiangning; Xiao, Qingzhong; Xian-jun, Kuang

doi:10.1109/qr2mse.2013.6625766

Cited by 20 publications

(12 citation statements)

References 2 publications

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“…This is because failure in the solder joints of discrete power transistors has been identified as a major cause of power converter failures in PV applications. [ 26,27 ]…”

Section: Introductionmentioning

confidence: 99%

Combined Fabrication and Performance Evaluation of TOPCon Back‐Contact Solar Cells with Lateral Power Metal‐Oxide‐Semiconductor Field‐Effect Transistors on a Single Substrate

van Nijen,

Stevens,

Mercimek

et al. 2024

Solar RRL

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Nowadays, an increasing share of photovoltaic (PV) systems makes use of module‐ or sub‐module‐level power electronics (PE). Furthermore, PE is used in stand‐alone devices powered by PV‐storage solutions. One way to facilitate further implementation of PE in PV applications is to integrate PE components into crystalline silicon PV cells. In this work, we introduce the COSMOS device, denoting COmbined Solar cell and MOSFET. Specifically, we report the combined manufacturing of lateral power MOSFETs and interdigitated back contact solar cells with tunnel‐oxide passivated contacts (TOPCon) on a single wafer. Many steps of the proposed process flow are used for the fabrication of both devices, enabling cost‐effective integration of the MOSFET. Both n‐type solar cells with integrated p‐channel MOSFETs (PMOS) and p‐type solar cells with integrated n‐channel MOSFETs (NMOS) are successfully manufactured. NMOS devices perform better in achieving low on‐resistance, while PMOS devices exhibit lower leakage currents. Furthermore, the study reveals integration challenges where off‐state leakage currents of the MOSFET can increase due to illumination and specific configurations of monolithic interconnections between the MOSFET and the solar cell. Nevertheless, for both n‐type and p‐type solar cells, efficiencies exceeding 20% are achieved, highlighting the potential of the proposed process for COSMOS devices.This article is protected by copyright. All rights reserved.

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“…This is because failure in the solder joints of discrete power transistors has been identified as a major cause of power converter failures in PV applications. [ 26,27 ]…”

Section: Introductionmentioning

confidence: 99%

Combined Fabrication and Performance Evaluation of TOPCon Back‐Contact Solar Cells with Lateral Power Metal‐Oxide‐Semiconductor Field‐Effect Transistors on a Single Substrate

van Nijen,

Stevens,

Mercimek

et al. 2024

Solar RRL

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“…Apart from the above-mentioned issues, the DC-DC converters are also exposed to a variety of stresses ranging from electrical stresses [6] like voltage and current stresses across the semiconductor elements to thermal stresses in the form of heat. These stresses play a significant role in degrading and reducing the useful life of a device by making it more prone to failure and thereby causing an earlier replacement of the component(s) being used in the converter.…”

Section: Introductionmentioning

confidence: 99%

Implementation and reliability analysis of a new non‐isolated quadratic buck–boost converter using improved Markov modelling

Malick

Zaid

Ahmad

et al. 2023

IET Renewable Power Gen

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Here, a new buck–boost converter with reliability analysis is proposed. The converter has utilized a new voltage multiplier cell at the input side to boost the output voltage. It has a continuous input current with a wide range of duty cycle operations. The converter achieves unity gain at 26.8% duty cycle and can also operate in continuous and discontinuous conduction modes in buck and boost modes. The detailed reliability analysis of the proposed converter using improved Markov modelling is also presented by considering both open circuit and short circuit faults across the semiconductor devices. The variation of reliability and the mean time to failure (MTTF) with different converter parameters like the duty cycle and the input voltage is also discussed here. The hardware results of the developed prototype converter are also presented here at varying duty ratios. The power loss analysis and comparison of the converter with other newly proposed buck–boost topologies show the advantages of the proposed converter. For checking the stability of the converter, the state space model of the converter is also discussed in detail of the proposed converter.

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“…Catelani and Ciania (2014) proposed a customized HALT process for avionics applications. Chen et al (2013) performed HALT for DC/DC converters; they also considered additional functional stresses to identify the failure modes related to DC/DC converters. To this end, they monitored several key parameters such as output voltage, efficiency, and ripple for identifying the operating limits.…”

Section: Introductionmentioning

confidence: 99%

Anomaly Detection of Servomotors Subject to Highly Accelerated Limit Testing

Shibutani

2022

IJPHM

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Companies utilize highly accelerated limit testing (HALT) to ensure efficient product development by accelerating loading conditions in the qualification process. The aim of qualitative accelerated testing such as HALT is to properly identify early behavioral anomalies. To this end, this study utilizes machine learning techniques for detecting anomalies in servomotors in electronic products subjected to HALT. A case study was conducted using a programmable robot kit with 12 servomotors. HALT comprises five types of stress: thermal conditioning (cold and heat), rapid thermal change, vibration, and combined stresses. The anomalous behavior of a servomotor can be identified using a k-nearest neighbor algorithm and verified by inspection using the loading conditions and electrical responses. In addition, anomalous behaviors among servomotors and a control board are assessed using a Gaussian graph model approach. Changes in the Gaussian graph are assessed as anomaly scores using Kullback–Leibler divergence. The anomaly score increased earlier than the operating limit defined by inspection, i.e., the deviation from the initial position of the shaft. The machine learning algorithm successfully identified the failure precursor of the unit. The proposed approach of HALT with the machine learning algorithm supports prognostic health management of servomotors.

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Reliability and failure analysis of DC/DC converter and case studies

Cited by 20 publications

References 2 publications

Combined Fabrication and Performance Evaluation of TOPCon Back‐Contact Solar Cells with Lateral Power Metal‐Oxide‐Semiconductor Field‐Effect Transistors on a Single Substrate

Combined Fabrication and Performance Evaluation of TOPCon Back‐Contact Solar Cells with Lateral Power Metal‐Oxide‐Semiconductor Field‐Effect Transistors on a Single Substrate

Implementation and reliability analysis of a new non‐isolated quadratic buck–boost converter using improved Markov modelling

Anomaly Detection of Servomotors Subject to Highly Accelerated Limit Testing

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