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Cited by 6

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Analysis on Static Current Sharing of N-Paralleled Silicon Carbide MOSFETs

He, Yang, Wang, Xun, Zhang, Junming, Shao, Shuai, Li, Han, Luo, Cheng·2021·2021 IEEE Energy Conversion Congress and Exposition (ECCE)
DOI 10.1109/ecce47101.2021.9595666
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Abstract

The influences of on-resistances and parasitic elements on the static current sharing of N-paralleled discrete silicon carbide (SiC) MOSFETs are analyzed in this paper. First of all, the limitation of self-balancing effect of MOSFETs caused by the positive temperature dependent on-resistance is quantitatively analyzed. From a statistical analysis, the current sharing distribution according to the spread of on-resistances is presented, which helps to screen the proper devices based on the current sharing requirement. Furthermore, a general circuit model is proposed to analyze the effect of inevitable circuit parasitic elements on current sharing with a given current slew rate. With the recursive circuit model, current imbalance contributed by parasitic resistances and inductances can be separately calculated, which can be used to guide the hardware design to improve current sharing in a real converter. The theoretical analysis is verified by experimental results.

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Crossref · 10.1109/ecce47101.2021.9595666

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1 of 1 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Research works printed but not linked: 8

  1. 10.1109/TPEL.2020.2978718 · DOI
  2. 10.1109/TIE.2017.2716868 · DOI
  3. 10.1109/TPEL.2019.2954716 · DOI · Paper page
  4. 10.1109/TPEL.2020.3009008 · DOI
  5. 10.23919/ICPE2019-ECCEAsia42246.2019.8797172 · DOI
  6. 10.1109/TPEL.2015.2408054 · DOI · Paper page
  7. 10.1109/ECCE44975.2020.9236326 · DOI · Paper page
  8. 10.1109/MIE.2012.2193291 · DOI

Cited by

Metadata

Authors
He, Y., Wang, X., Zhang, J., Shao, S., Li, H., & Luo, C.
Venue
2021 IEEE Energy Conversion Congress and Exposition (ECCE)
Publisher
IEEE
Published
2021-10-10
Pages
5590-5596
DOI
10.1109/ecce47101.2021.9595666
Cited by
6
References
1
Licence
Funders
Eaton Corporation

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.