Numerical junction temperature calculation method for reliability evaluation of power semiconductors in power electronics converters

Du, Xiao; Zhang, Jun; Li, Gaoxian

doi:10.1007/s43236-020-00154-z

Cited by 15 publications

(3 citation statements)

References 42 publications

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“…This is because if a single PEBB fails, only a direct replacement is required to maintain proper power system operation. Implementing ATC and RUL methods facilitates this capability, allowing PEBBs to adapt their operation to align with scheduled maintenance, thereby increasing the [27], [117], [215], [216], [217], [218]), • Peak current ( [26], [27], [117], [219], [216], [220]), • Duty ratio ( [215]), • Adjust current restriction to coolant temperature and frequency ( [219]).…”

Section: E Cost Analysismentioning

confidence: 99%

Power Converters Coolant: Past, Present, Future, and a Path Toward Active Thermal Control in Electrified Ship Power Systems

Moghassemi,

Rahman,

Ozkan

et al. 2023

IEEE Access

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Power converters have widespread applications in automotive, renewables, and power systems. The demand for power modules with low power consumption and high efficiency has increased due to advancements in semiconductor devices. So, power converters need to be highly efficient to reduce costs associated with energy dissipation and cooling requirements. This paper discusses various active thermal control methods for high-power power converters. It covers modulation and configuration techniques, ranging from single configurations to cascaded, modular, and multilevel converters. These concepts form the basis of power electronics building blocks, particularly relevant in all-electric ship systems. Power electronics building blocks represent a This article has been accepted for publication in IEEE Access.

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Section: E Cost Analysismentioning

confidence: 99%

Power Converters Coolant: Past, Present, Future, and a Path Toward Active Thermal Control in Electrified Ship Power Systems

Moghassemi,

Rahman,

Ozkan

et al. 2023

IEEE Access

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show abstract

“…This significantly increases the computational burden and the quality of state samples directly affects the accuracy of evaluation results. Researchers have proposed a series of improved sampling methods, including state space pruning [8], importance sampling [9], Latin hypercube sampling [10], etc. By generating and selecting representative samples, the number of samples required to obtain specific accuracy reliability evaluation results is reduced, thereby reducing computational complexity and improving computational efficiency.…”

Section: Introductionmentioning

confidence: 99%

A Fast Reliability Evaluation Strategy for Power Systems under High Proportional Renewable Energy—A Hybrid Data-Driven Method

Zhang,

Wang,

et al. 2024

Processes

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With the increasing scale of the power system, the increasing penetration of renewable energy, and the increasing uncertainty factors, traditional reliability evaluation methods based on Monte Carlo simulation have greatly reduced computational efficiency in complex power systems and cannot meet the requirements of real-time and rapid evaluation. This article proposes a hybrid data-driven strategy to achieve a rapid assessment of power grid reliability on two levels: offline training and online evaluation. Firstly, this article derives explicit analytical expressions for reliability indicators and component parameters, avoiding the computational burden of repetitive Monte Carlo simulation. Next, a large number of samples are quickly generated by parsing expressions to train convolutional neural networks (CNNs), and the system reliability index is quickly calculated under changing operating conditions through CNNs. Finally, the effectiveness and feasibility of the proposed method are verified through an improved RTS-79 testing system. The calculation results show that the method proposed in this article can achieve an online solution of second-level reliability indicators while ensuring calculation accuracy.

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“…It is unrealistic to apply this method to the reliability research of power modules. Based on the electrothermal analogy method, studies [17] and [18] have specified the iterative principle and calculation process of the junction temperature for IGBT modules in wind power converters, which uses the Gauss-Seidel junction temperature iteration to calculate the junction temperature at the fundamental frequency. The calculation results show that the method is fast and accurate, but the method cannot be used in systems with nonconvergence.…”

Section: Introductionmentioning

confidence: 99%

Simplified Estimation of Junction Temperature Fluctuation at the Fundamental Frequency for IGBT Modules Considering Mission Profile

Wang

Yao

et al. 2019

IEEE Access

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The junction temperature at the fundamental frequency cannot be ignored in a lifetime evaluation of insulated-gate bipolar transistors (IGBTs) with a long-term mission profile. Therefore, it is very important in terms of calculation speed and accuracy to simplify the loss curve when calculating the thermal fluctuation at the fundamental frequency. This paper proposes a mathematical analysis method for the junction temperature fluctuation at the fundamental frequency based on an equivalent sinusoidal halfwave loss. The dynamic and static parameters of the devices are tested by an experimental platform, and accurate device loss models are established through a case study of a 1.5 MW direct-drive wind turbine gridconnected model. The accuracy of the proposed calculation model is compared with that of a time-domain simulation and the two-step loss pulse method. Considering different output frequencies, the accuracy of the proposed method is further discussed. Based on actual wind speed data, the proposed method is used to calculate the junction temperature of an IGBT module in a grid-side converter. The results show that the proposed method can improve the accuracy of the reliability evaluation of wind power converters.INDEX TERMS Junction temperature fluctuation, equivalent sinusoidal half-wave loss, fundamental frequency, reliability, mission profile.

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Numerical junction temperature calculation method for reliability evaluation of power semiconductors in power electronics converters

Cited by 15 publications

References 42 publications

Power Converters Coolant: Past, Present, Future, and a Path Toward Active Thermal Control in Electrified Ship Power Systems

Power Converters Coolant: Past, Present, Future, and a Path Toward Active Thermal Control in Electrified Ship Power Systems

A Fast Reliability Evaluation Strategy for Power Systems under High Proportional Renewable Energy—A Hybrid Data-Driven Method

Simplified Estimation of Junction Temperature Fluctuation at the Fundamental Frequency for IGBT Modules Considering Mission Profile

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