Synthesis and Comparison of Soft-Switched Operating Modes of a Series Resonant Balancing Converter for Bipolar DC Grids

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Sachin Yadav;Pavol Bauer;Zian Qin
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Abstract

This article discusses the various operating modes of a series resonant balancing converter for bipolar dc grids. It is shown that the converter can be operated in both the capacitive and inductive regions with respect to the resonant frequency of the LC tank. Furthermore, concerning the pulse width modulation signals to the switches, the converter can either be operated by controlling the phase shift between the converter half bridge legs or the duty cycle of the half bridges. A qualitative comparison of the different modes proves that a) the phase shift modes have better soft switching capabilities, b) the capacitive phase shift mode can show zero voltage switching at switch turn- on in the whole operating range, c) the losses in case of capacitive phase shift mode shows best performance at low load power, d) the inductive region power modes show lower rms current for the same power flow compared with capacitive region modes which lead to lower losses at higher output power. The simulation and experimental results depict the operation of all the modes. Finally, a prototype is designed to validate all operating modes, demonstrating $>$ 99% system efficiency at 1.75 kW.
双极直流电网串联谐振平衡转换器软开关工作模式的合成与比较
本文讨论了用于双极直流电网的串联谐振平衡转换器的各种工作模式。研究表明,相对于 LC 槽的谐振频率,转换器可在电容区和电感区运行。此外,关于开关的脉宽调制信号,转换器可以通过控制转换器半桥脚之间的相移或半桥的占空比来运行。对不同模式的定性比较证明:a) 相移模式具有更好的软开关能力;b) 电容式相移模式在整个工作范围内的开关导通时都能显示零电压开关;c) 电容式相移模式的损耗在低负载功率时表现最佳;d) 与电容式模式相比,电感式区域功率模式在相同功率流下显示更低的均方根电流,从而在更高输出功率时显示更低的损耗。仿真和实验结果描述了所有模式的运行情况。最后,设计了一个原型来验证所有工作模式,在 1.75 kW 的功率下显示出 99% 的系统效率。
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来源期刊
IEEE Open Journal of the Industrial Electronics Society
IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
10.80
自引率
2.40%
发文量
33
审稿时长
12 weeks
期刊介绍: The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments. Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.
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