| Author: | Yang, Lifan |
| Title: | A direct AC/AC wireless-power-transfer (WPT) converter for household appliances |
| Degree: | M.Sc. |
| Year: | 2025 |
| Department: | Department of Electrical and Electronic Engineering |
| Pages: | xxxviii pages : color illustrations |
| Language: | English |
| Abstract: | Wireless power transfer (WPT) technology, as a new power supply mode, provides a new way for electrically driven devices to obtain energy, thereby reducing excessive dependence on batteries. AC-AC wireless power transmission technology achieves wireless transmission of AC energy through non-contact methods, and has shown great potential in fields such as electric vehicles, smart homes, and industrial automation in recent years. This article systematically analyzes AC-AC WPT and its core principles, compares the output characteristics of four basic compensation networks (SS, SP, PS, PP), and focuses on the LCC-S compensation network, including electromagnetic induction, magnetic resonance coupling, and circuit topology design. Compare it with four basic auxiliary networks and explain in detail the advantages of LCC-S. Then, the current bottlenecks of WPT technology were summarized, and future research directions and challenges were proposed. We also proposed a direct AC/AC WPT converter for household appliances based on LCC-S auxiliary network, with an input voltage of 220V, a frequency of 50Hz, and a system resonance frequency of 85kHz. It adopts a dual active bridge (DAB) architecture, which can directly adjust the output to restore the input waveform and track the input frequency without communication between the primary and secondary sides, in order to achieve ideal output. And the feasibility of the converter was verified through simulation, providing theoretical support for engineering applications. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8323.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 4.2 MB | Adobe PDF | View/Open |
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