Robustness requirements on semiconductors for high power applications

Nagel, Andreas; Bakran, Mark-M.

doi:10.1109/epe.2013.6631910

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…There are many factors that cause voltage unbalanced sharing for IGBTs connected in series, such as gate drive delays, external circuit parameters, and the spread of various IGBT dynamic and static parameters. Even if IGBTs have the same design but are manufactured in different batches, there will still be some variations in their respective parameters [22], e.g. intrinsic capacitances and gate resistances.…”

Section: Voltage Divergence Analysismentioning

confidence: 99%

Physical Investigation Into Effective Voltage Balancing by Temporary Clamp Technique for the Series Connection of IGBTs

Yang

Zhang

He³

et al. 2018

IEEE Trans. Power Electron.

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The series connection of IGBTs is essential for high voltage applications where fast switching performances need to be maintained. However, unbalanced voltage sharing is a major resistance to the converter application of this structure. There are a number of causes leading to voltage unbalance, such as different signal delays, parasitic parameters, and tail currents and so on. A temporary clamp scheme performed by Active Voltage Control (AVC) has been proven to be effective in solving the unbalanced voltage-sharing issue. However, the basic physics has not been investigated. In this paper, the physical principle of voltage unbalance within IGBTs series operation is discussed. The carrier storage region differences are concluded to be the intrinsic cause of unbalanced voltage sharing. By using an accurate Fourier-series-based IGBT simulation model with appropriate assumptions, a physical explanation for temporary clamp is provided in detail. At the end of the tail current period when the excess carrier concentration becomes close to the intrinsic doping density, the temporary clamp is able to achieve satisfactory equal voltage sharing.

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Section: Voltage Divergence Analysismentioning

confidence: 99%