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Cited by 59

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

Active Gate Driver for Dynamic Current Balancing of Parallel-Connected SiC MOSFETs

He, Yang, Wang, Xun, Shao, Shuai, Zhang, Junming·2023·IEEE Transactions on Power Electronics
DOI 10.1109/tpel.2023.3243053
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Abstract

In high-power applications, parallel connection of discrete silicon carbide (SiC)mosfets is necessary to increase the current rating. However, the unbalanced dynamic current during switching transient may cause unequal power loss and thermal distribution, which is a great challenge in parallel applications. In this article, a dynamic current balancing method based on a new active gate driver (AGD) is proposed to improve the current sharing. The principle of the AGD is based ondi/dtfeedback control and voltage controlled current source to adjust gate drive current of SiCmosfets. Therefore, the switching trajectory of the paralleled devices can be changed to achieve current balance. In addition, by using master-slave control strategy, the proposed AGD can be easily used for multiple paralleled devices. The double pulse tests are conducted to verify the effectiveness of the proposed AGD. For two paralleled devices, the turn-onand turn-offswitching energy imbalances are reduced from 13.4% and 56.0% (12.1% and 52.9%) to 8.8% and 15.3% (8.0% and 8.8%) by the current source (current sink) circuit. For six paralleled devices, the degrees of turn-onand turn-offswitching energy imbalances can be reduced from 21.8% and 16.1% to 11.8% and 7.8% by the proposed AGD.

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Citations

Cites

Research works printed but not linked: 38

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Cited by

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Metadata

Authors
He, Y., Wang, X., Shao, S., & Zhang, J.
Venue
IEEE Transactions on Power Electronics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2023-05
Volume
38
Issue
5
Pages
6116-6127
ISSN
  • 0885-8993
  • 1941-0107
DOI
10.1109/tpel.2023.3243053
Cited by
59
References
1
Licence
Funders
  • Key-Area Research and Development Program of Guangdong Province (2021B0101310004)
  • Eaton Corporation

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Data sources

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.