Research on an Inference Algorithm for a Series of Three-Port Converter Topologies

• Published in: IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2024-11, p.1-12
• Main Authors: Liu, Qianshi, Du, Qianqian, Li, Haijin, Zhu, Liying, Liu, Zhigang, Zhang, Xiaofeng, Xu, Guoning
• Format: Article
• Language: English
• Subjects: Circuit topology; Circuits; Density measurement; inference algorithm; Inference algorithms; Load flow; Photovoltaic systems; power flow control; Power system measurements; Power systems; semi-regulated bus; Space vehicles; three port converter; Topology; Voltage control
• ISSN: 1549-8328
• DOI: 10.1109/TCSI.2024.3503923

With the development of sustainable energy industry, aerospace, power electronics technology, and electric vehicles, the demand for energy has become more urgent for humanity. A three port converter (TPC) that can combine photovoltaic cells with batteries has become a better solution at present. However, it is difficult to obtain an ideal TPC. Current TPCs typically have large weight, low efficiency and their topology has a lot of optimization space. This article proposes a topologies inference algorithm for TPC which describes the implementation process of various methods in detail. Different TPC topologies are obtained and experimentally verified. By comparing the different deduction methods proposed, a prototype was developed through branch combination multiplexing. The TPC uses gallium nitride (GaN) high electron mobility transistors (HEMTs) to operate at a frequency of 200 kHz. The power density of it reaches 5.291 W/cm ^{3} and achieving a 92.8% efficiency with semi-regulated bus architecture.