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Modeling and optimization of high power inverter three-layer laminated busbar

Authors: Cai Chen; Xuejun Pei; Yunhao Shi; Xinchun Lin; Xinming Liu; Yong Kang;

Modeling and optimization of high power inverter three-layer laminated busbar

Abstract

This paper focuses on the modeling and optimization of the laminated busbar used in high power inverters. First, through the circuit structure analysis, the commutation loops of the laminated busbar are analyzed in a single-phase H-bridge inverter; then, the commutation loops are modeled and simulated via the three-dimensional (3-D) finite element simulation, and unbalanced commutation loops' inductances of the original three-layer laminated busbar are obtained. Additionally, a low cost and accurate parasitic inductance extracted measurement method for the busbar, which is based on the equalization of resonance impedance, is proposed; then, a compromised optimal design scheme is suggested to balance and minimize the parasitic inductance of the busbar, and this optimal scheme is verified by simulations. Finally, some optimization principles of laminated busbar are proposed.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Average
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