Reliability Prediction for Inverters in Hybrid Electrical Vehicles

Hirschmann, D.; Tissen, Dietmar; Schröder, S.; Doncker, Rik W. De

doi:10.1109/tpel.2007.909236

Cited by 187 publications

(40 citation statements)

References 7 publications

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“…Component level is mainly for power electronic devices, such as power semiconductors, capacitors, and magnetic devices [27][28][29][30][31][32]. Field experiences proves that electrolytic capacitors and power switches, such as IGBTs and MOSFETs, are the most vulnerable components in power circuits illustrated in reference [26].…”

Section: Component-level Reliability Modelsmentioning

confidence: 99%

Microgrid Reliability Evaluation Based on Condition-Dependent Failure Models of Power Electronic Devices

Wang

Hou

2018

2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)

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The University of Wisconsin-Milwaukee, 2018 Under the Supervision of Dr. Lingfeng Wang Microgrid, a distributed energy system consisting of distributed energy and loads, aim s to ensure reliable and affordable energy security in urban and rural communities. With the growing global energy need and the emerging threat of climate change, green renewa ble energy is becoming a new favorite in the field of power generation. Microgrids have rec eived wide spread attention and application for their minimizing carbon dioxide and gree nhouse gas emissions. Microgrids do so by maximizing clean local energy generation as well as reducing the stress of the transmission and distribution system.With the use of renewable energy, the reliability performance of microgrids becomes an issue because many renewable energy sources are intermittent. As power electronics increasingly serve as interfaces for renewable energy integration in microgrids, the reliable performance of power electronics plays an important role in microgrid reliability. In recent years, although the reliability of microgrid and power electronics has been studied, most of the research was limited to the reliability evaluation on the long-term planning timescale. However, the operational reliability evaluation considering power electronic influence was rarely studied.Power electronic devices such as converters are important parts of the microgrid system. The constant failure rate of converters has been widely used in power system planning. It has proved to be useful for calculating long-term or medium-term average reliability indices. However, iii under different operating conditions, the average failure rate cannot fully represent the failure rate of the component.In this thesis, a converter real-time failure model in different micro-sources was built and tested. These models were applied to an 11-node microgrid test system to calculate the operating reliability indices under different situations. Then, the sensitivity analysis was carried out, and the influence of various factors was evaluated.The converter real-time failure model is built based on the power losses of power electronics caused by the variation of the weather data (wind speed, ambient temperature, and illumination).To calculate the availability for test systems, systems were simplified to several sub-systems according to the power flow. By using the reliability block diagram (RBD) method and combining with the real-time availability of the converter, each sub-system's hourly availability was calculated. In the simulation, the system availability considering the influence of power electronics was calculated and a comparison was made with the system availability without considering the influence of power electronics. To calculate operational reliability indices, a short-term outage model was applied and varied cases were used to test the influencing factor.The sensitivity analyses demonstrated the influence of seasons, wind turbine parameters and meteorological conditions. According to the simulati...

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Section: Component-level Reliability Modelsmentioning

confidence: 99%

Microgrid Reliability Evaluation Based on Condition-Dependent Failure Models of Power Electronic Devices

Wang

Hou

2018

2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)

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“…In a conventional approach to assess the reliability performance of power electronics system, the reliability information is decided at component level based on the statistics of large number of failed products. Afterwards the constants of failure-rate or Mean Time To Failure (MTTF) for various components are established in some handbooks [8], [9], which are used to calculate the failure-rate or MTTF of the whole converter according to the connecting logics of multiple components or sub systems [10]- [16]. Nowadays, this "MTTF prediction" or "constant failure-rate prediction" approach has been discouraged for the reliability assessment of power electronics, since it is mission profiles independent and the accuracy is hard to be ensured, as specified in [3], [17].…”

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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“…Scholars from various countries conducted extensive research on the reliability of converter devices and their power devices [4][5][6]. Power converters usually consist of switching devices, storage devices, driving devices, and signal processing and control circuits.…”

Section: Introductionmentioning

confidence: 99%

Reliability of Boost PFC Converters with Improved EMI Filters

et al. 2018

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The switching device in a power converter can produce very serious electromagnetic interference (EMI). In order to solve this problem and the associated reliability and stability issues, this article aimed to analyze and model the boost power factor correction (PFC) converter according to the EMI conduction path. The sources of common-mode (CM) and differential-mode (DM) noise of the boost PFC converter were analyzed, and the DM and CM equivalent circuits were deduced. Furthermore, high-frequency modeling of the common-mode inductor was developed using a precise model, and the EMI filter was designed. According to the Class B standard for EMI testing, it is better to restrain the EMI noise in the frequency range (150 kHz to 30 MHz) of the EMI conducted disturbance test. Using this method, a 2.4-kW PFC motor driving supply was designed, and the experimental results validate the analysis.

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Reliability Prediction for Inverters in Hybrid Electrical Vehicles

Cited by 187 publications

References 7 publications

Microgrid Reliability Evaluation Based on Condition-Dependent Failure Models of Power Electronic Devices

Microgrid Reliability Evaluation Based on Condition-Dependent Failure Models of Power Electronic Devices

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

Reliability of Boost PFC Converters with Improved EMI Filters

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