Prediction of Bond Wire Fatigue of IGBTs in a PV Inverter under a Long-Term Operation

Reigosa, Paula Diaz; Wang, Huai; Yang, Yongheng; Blaabjerg, Frede

doi:10.1109/tpel.2015.2509643

Cited by 161 publications

(39 citation statements)

References 39 publications

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“…In other words, regardless of the selected weighting factor, the temperature profile when using the proposed algorithm will always have a slope that is under the one when using the fixed switching frequency. The importance of this property comes from the fact that the lifetime of the inverter is inversely proportional to the junction temperature difference [37][38][39]. To further highlight the significance of the proposed algorithm, the California Energy Commission (CEC) efficiency of the inverter is measured under the fixed and VSF algorithms, the CEC efficiency is 97.3% using the proposed VSF algorithm, and 96.39% with the fixed fsw.…”

Section: The Experimental Resultsmentioning

confidence: 99%

Section: The Experimental Resultsmentioning

confidence: 99%

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Online Optimal Switching Frequency Selection for Grid-Connected Voltage Source Inverters

et al. 2017

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Enhancing the performance of the voltage source inverters (VSIs) without changing the hardware structure has recently acquired an increased amount of interest. In this study, an optimization algorithm, enhancing the quality of the output power and the efficiency of three-phase grid connected VSIs is proposed. Towards that end, the proposed algorithm varies the switching frequency (f sw ) to maintain the best balance between switching losses of the insulated-gate-bipolar-transistor (IGBT) power module as well as the output power quality under all loading conditions, including the ambient temperature effect. Since there is a contradiction with these two measures in relation to the switching frequency, the theory of multi-objective optimization is employed. The proposed algorithm is executed on the platform of Altera ® DE2-115 field-programmable-gate-array (FPGA) in which the optimal value of the switching frequency is determined online without the need for heavy offline calculations and/or lookup tables. With adopting the proposed algorithm, there is an improvement in the VSI efficiency without degrading the output power quality. Therefore, the proposed algorithm enhances the lifetime of the IGBT power module because of reduced variations in the module's junction temperature. An experimental prototype is built, and experimental tests are conducted for the verification of the viability of the proposed algorithm.

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Section: The Experimental Resultsmentioning

confidence: 99%

Section: The Experimental Resultsmentioning

confidence: 99%

Online Optimal Switching Frequency Selection for Grid-Connected Voltage Source Inverters

et al. 2017

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“…Thus, the mission profile becomes an essential part for the PV inverter reliability analysis. Specifically, in order to perform the reliability analysis of the PV inverter, it is inevitable to translate the mission profile to the power losses and then the thermal loading in a long-term operation (e.g., a yearly operational profile) [31], [32], [35], [38], [39]. If not appropriately coped with, the analysis can be very time-consuming due to the process of a large amount of data.…”

Section: B Mission Profile Translationmentioning

confidence: 99%

Pursuing Photovoltaic Cost-Effectiveness: Absolute Active Power Control Offers Hope in Single-Phase PV Systems

Yang

Koutroulis

Sangwongwanich

et al. 2017

IEEE Ind. Appl. Mag.

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Abstract-Countries with considerable PhotoVoltaic (PV) installations are facing a challenge of overloading their power grid during peak-power production hours if the power infrastructure remains the same. To address this, regulations have been imposed on PV systems, where more active power control should be flexibly performed. As an advanced control strategy, the Absolute Active Power Control (AAPC) can effectively solve the overloading issues by limiting the maximum possible PV power to a certain level (i.e., the power limitation), and also benefit the inverter reliability due to the reduction in the thermal loading of the power devices. However, its feasibility is challenged by the associated energy losses. An increase of the inverter lifetime and a reduction of the energy yield can alter the cost of energy, demanding an optimization of the power limitation. Therefore, aiming at minimizing the Levelized Cost Of Energy (LCOE), the power limit is optimized for the AAPC strategy in this paper. The optimization method is demonstrated on a 3-kW singlephase PV system considering a real-field mission profile (i.e., solar irradiance and ambient temperature). The optimization results have revealed that superior performance in terms of LCOE and energy production can be obtained by enabling the AAPC strategy, compared to the conventional PV inverter operating only in the maximum power point tracking mode. In the presented case study, the minimum of the LCOE is achieved for the PV system when the power limit is optimized to a certain level of the designed maximum feed-in power (i.e., 3-kW). In addition, the LCOE-based analysis method can be used in the design of PV inverters considering long-term mission profiles.

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“…Recently, a series of works have been found to utilize these lifetime models in order to better predict the reliability of converters based on different mission profiles and applications [35]- [38]. In these "lifetime prediction" approaches for the reliability assessment of power electronics, the mission profiles are correlated with the reliability performances, and the accuracy of the predicted results strongly depends on the used lifetime models of components.…”

Section: Introductionmentioning

confidence: 99%

Prediction and Validation of Wear-Out Reliability Metrics for Power Semiconductor Devices With Mission Profiles in Motor Drive Application

Choi

Blaabjerg

2018

IEEE Trans. Power Electron.

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Due to the continuous demands for highly reliable and cost-effective power conversion, quantified reliability performances of the power electronics converter are becoming emerging needs. The existing reliability predictions for the power electronics converter mainly focus on the metrics of lifetime, accumulated damage, constant failure rate or Mean-Time-To-Failure (MTTF). Nevertheless, the time-varying and probabilitydistributed characteristics of the reliability, are rarely involved. Moreover, in the public literatures, there are few evidences showing that the accuracy of the predicted reliability was experimentally validated. In this paper, a more advanced metric "Cumulative Distribution Function (CDF)" is introduced to predict the reliability performance of power electronics system based on mission profiles in motor drive application. Furthermore, the accuracy of the predicted reliability metrics is verified through a series of wear-out tests in a converter testing system. It is concluded that the CDF is a very suitable metric to predict the reliability performance of converter, and it has shown good accuracy with much more reliability information compared to the existing approaches. In this method, the correct stress translation and dedicated strength tests based on mission profiles are two key factors to ensure the efficiency and accuracy of reliability prediction. I.This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.The final version of record is available at http://dx.

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Prediction of Bond Wire Fatigue of IGBTs in a PV Inverter under a Long-Term Operation

Cited by 161 publications

References 39 publications

Online Optimal Switching Frequency Selection for Grid-Connected Voltage Source Inverters

Online Optimal Switching Frequency Selection for Grid-Connected Voltage Source Inverters

Pursuing Photovoltaic Cost-Effectiveness: Absolute Active Power Control Offers Hope in Single-Phase PV Systems

Prediction and Validation of Wear-Out Reliability Metrics for Power Semiconductor Devices With Mission Profiles in Motor Drive Application

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