High Step-Up Switched-Capacitor Active Switched-Inductor Converter with Self-Voltage Balancing and Low Stress



Cui, Chaofan, Tang, Yu, Guo, Yingjun, Sun, Hexu and Jiang, Lin ORCID: 0000-0001-6531-2791
(2021) High Step-Up Switched-Capacitor Active Switched-Inductor Converter with Self-Voltage Balancing and Low Stress. IEEE Transactions on Industrial Electronics, 69 (10). p. 1.

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Abstract

High step-up dc-dc converters are widely used in new energy applications such as photovoltaic cell, fuel cell, dc microgrid, etc. Active switched-inductor (ASL) converter has simple operation and low stress on switches. To further increase the voltage gain, some SC (switched-capacitor)/ASL step-up converters have been proposed recently. However, these SC/ASL step-up converters have voltage oscillation on switches, which leads to the voltage stress on switches is higher than the theoretical value. In this article, a novel high step-up SC/ASL converter is proposed. Compared with other SC/ASL step-up converters, the proposed converter has lower voltage stress on the switches, output diodes, and output filter capacitors, and the efficiency is higher. In addition, the proposed converter can achieve self-voltage balancing on switches. This article analyzes the proposed converter from operation principle, continuous conduction mode (CCM) analysis, CCM operation with unbalanced inductors, input current ripple analysis, discontinuous conduction mode and boundary conduction mode analysis, switches self-voltage balancing characteristic, voltage stress, current stress, comparison analysis, and design considerations. Finally, a 200 W, 25-45 V/380 V, 50 kHz experimental prototype has been established in the laboratory to evaluate the proposed converter, which reached a peak efficiency of 97.3%.

Item Type: Article
Uncontrolled Keywords: Active switched-inductor (ASL), high step-up dc-dc converters, self voltage balancing, switched-capacitor (SC)
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 27 Jan 2022 08:34
Last Modified: 18 Jan 2023 21:14
DOI: 10.1109/tie.2021.3135611
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3147656