Exploration of Power Device Reliability Using Compact Device Models and Fast Electrothermal Simulation

Bryant, A.T.; Mawby, P.A.; Palmer, P.R.; Santi, Enrico; Hudgins, J.L.

doi:10.1109/tia.2008.921388

Cited by 109 publications

(47 citation statements)

References 31 publications

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“…Moreover, 3D FEM uses huge computational processes that cannot be interfaced with applications in real time especially in higher switching applications. Other models [60] can be useful for prediction of inverter reliability but they are not applicable in real-time and under in-service operations.…”

Section: Compact Electro-thermal Modelmentioning

confidence: 99%

Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics

Musallam

Yin

Bailey

et al. 2015

IEEE Trans. Power Electron.

137

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.For more information, please contact eprints@nottingham.ac.ukManuscript ID TPEL-Reg-2014-04-0475.R2 1  Abstract-Power electronics are efficient for conversion and conditioning of the electrical energy through a wide range of applications. Proper life consumption estimation methods applied for power electronics that can operate in real-time under inservice mission profile conditions will not only provide an effective assessment of the products life expectancy but also they can deliver reliability design information. This is important to aid in manufacturing and thus help in reducing costs and maximizing through-life availability. In this paper, a mission profile based approach for real-time life consumption estimation which can be used for reliability design of power electronics is presented. The paper presents the use of electro-thermal models coupled with physics-of-failure analysis by means of real-time counting algorithm to provide accurate life consumption estimations for power modules operating under in-service conditions. These models, when driven by the actual mission profiles, can be utilized to provide advanced warning of failures and thus deliver information that can be useful to meet particular application requirements for reliability at the design stage. To implement this approach, an example of two case studies using mission profiles of a metro-system and wind-turbines applications are presented.

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Section: Compact Electro-thermal Modelmentioning

confidence: 99%

Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics

Musallam

Yin

Bailey

et al. 2015

IEEE Trans. Power Electron.

137

View full text Add to dashboard Cite

show abstract

“…When the thermal loading profile appearing in the power switching devices is available, a quantitative prediction of the device lifetime under the mission profile is enabled by a rain-flow counting algorithm [41,42]. The rain-flow counting algorithm is a quantitative representation of the thermal loading, which extracts the temperature information in detail in terms of the mean junction temperature , temperature…”

Section: Electrical Domain Thermal Domainmentioning

confidence: 99%

Reliability Assessment of Transformerless PV Inverters considering Mission Profiles

Yang

Wang

Blaabjerg

2015

International Journal of Photoenergy

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Due to the small volume and high efficiency, transformerless inverters have gained much popularity in grid-connected PV applications, where minimizing leakage current injection is mandatory. This can be achieved by either modifying the modulation schemes or adding extra power switching devices, resulting in an uneven distribution of the power losses on the switching devices. Consequently, the device thermal loading is redistributed and thus may alter the entire inverter reliability performance, especially under a long-term operation. In this consideration, this paper assesses the device reliability of three transformerless inverters under a yearly mission profile (i.e., solar irradiance and ambient temperature). The mission profile is translated to device thermal loading, which is used for lifetime prediction. Comparison results reveal the lifetime mismatches among the power switching devices operating under the same condition, which offers new thoughts for a robust design and a reliable operation of grid-connected transformerless PV inverters with high efficiency.

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“…This algorithm is commonly used for fatigue analysis in structural engineering, power electronic systems and mechanical vibration applications [32], [33]. In this case, the rainflow counting method considers the state-of-charge (SoC) data as an input and calculates the equivalent cycles.…”

Section: Introductionmentioning

confidence: 99%

Capacity Optimization of Renewable Energy Sources and Battery Storage in an Autonomous Telecommunication Facility

Dragičević

Pandžić

Škrlec

et al. 2014

IEEE Trans. Sustain. Energy

115

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Abstract-This paper describes a robust optimization approach to minimize the total cost of supplying a remote telecommunication station exclusively by renewable energy sources (RES). Due to intermittent nature of RES, such as photovoltaic (PV) panels and small wind turbines, they are normally supported by a central energy storage system (ESS), consisting of a battery and a fuel cell. The optimization is carried out as a robust mixed-integer linear program (RMILP), and results in different optimal solutions, depending on budgets of uncertainty, each of which yields different RES and storage capacities. These solutions are then tested against a set of possible outcomes, thus simulating the future operation of the system. Since battery cycling is inevitable in this application, an algorithm that counts the number of cycles and associated depths of discharges (DoD) is applied to the optimization results. The annual capacity reduction that results from these cycles is calculated for two types of battery technologies, i.e. valve-regulated lead-acid (VRLA) and lithium-ion (Li-Ion), and treated as an additional cost. Finally, all associated costs are added up and the ideal configuration is proposed.Index Terms-Autonomous power facility, batteries, energy storage system, renewable energy sources, robust mixed-integer linear programming. (t) electricity discharged form the battery (kW), NOMENCLATUREwind turbine generation (kW),curtailed RES output, n hyd number of hydrogen storage replacements,consumed hydrogen (l), x ch bat (t) binary variable equal to 1 if battery is being charged at time period t, and 0 otherwise, x dis bat (t) binary variable equal to 1 if battery is being discharged at time period t, and 0 otherwise.

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Exploration of Power Device Reliability Using Compact Device Models and Fast Electrothermal Simulation

Cited by 109 publications

References 31 publications

Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics

Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics

Reliability Assessment of Transformerless PV Inverters considering Mission Profiles

Capacity Optimization of Renewable Energy Sources and Battery Storage in an Autonomous Telecommunication Facility

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