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Cited by 1,408

The DOI matches its Crossref record.

Multilevel converters for large electric drives

Tolbert, L.M., Fang Zheng Peng, Habetler, T.G.·1999·IEEE Transactions on Industry Applications
DOI 10.1109/28.740843
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Abstract

This paper presents transformerless multilevel power converters as an application for high-power and/or high-voltage electric motor drives. Multilevel converters: (1) can generate near-sinusoidal voltages with only fundamental frequency switching; (2) have almost no electromagnetic interference or common-mode voltage; and (3) are suitable for large voltampere-rated motor drives and high voltages. The cascade inverter is a natural fit for large automotive all-electric drives because it uses several levels of DC voltage sources, which would be available from batteries or fuel cells. The back-to-back diode-clamped converter is ideal where a source of AC voltage is available, such as in a hybrid electric vehicle. Simulation and experimental results show the superiority of these two converters over two-level pulsewidth-modulation-based drives.

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Metadata

Authors
Tolbert, L. M., Peng, F. Z., & Habetler, T. G.
Venue
IEEE Transactions on Industry Applications
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1999
Volume
35
Issue
1
Pages
36-44
ISSN
0093-9994 (ISSN-L)
DOI
10.1109/28.740843
OpenAlex
W2566815404
Cited by
1,408
References
0
FWCI
16.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multilevel converters for large electric drives. https://app.cochat.ai/papers/10.1109/28.740843
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Tolbert, L. M., Peng, F. Z., & Habetler, T. G. (1999). Multilevel converters for large electric drives. IEEE Transactions on Industry Applications. https://doi.org/10.1109/28.740843

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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.