Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142716
Title: An SI-MISO boost converter with deadbeat-based control for electric vehicle applications
Authors: Wang, Benfei
Zhang, Xinan
Gooi, Hoay Beng
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Wang, B., Zhang, X., & Gooi, H. B. (2018). An SI-MISO boost converter with deadbeat-based control for electric vehicle applications. IEEE Transactions on Vehicular Technology, 67(10), 9223 - 9232. doi:10.1109/TVT.2018.2853738
Project: NRF2014EWT-EIRP002-005 
Journal: IEEE Transactions on Vehicular Technology 
Abstract: This paper presents a single-inductor multiple-input single-output (SI-MISO) boost converter with a deadbeat-based control method. The proposed deadbeat-based control has the capability to simultaneously conduct the power regulation from multiple inputs and the output voltage regulation for the SI-MISO boost converter. The advantages of the proposed method are less component count, lower system cost, compatibility for arbitrary number of inputs, fast response, and simplicity for implementation. Hence, the SI-MISO boost converter is a promising interface for the regulation of multiple energy sources as a standalone power system, which can be utilized in electric vehicle applications. To verify the performance of the proposed deadbeat-based control method, a laboratorial prototype of the SI-MISO boost converter is built. The steady-state and dynamic operations are investigated based on the prototype. The experimental results demonstrate that input power and output voltage of the SI-MISO boost converter can be effectively regulated by the proposed control method. The comprehensive comparison with the existing methods is conducted to further illustrate the advantages of the proposed deadbeat-based method.
URI: https://hdl.handle.net/10356/142716
ISSN: 0018-9545
DOI: 10.1109/TVT.2018.2853738
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TVT.2018.2853738.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
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