| Author: | Ge, Muqing |
| Title: | Development of wireless charging system for electric vehicles |
| Advisors: | Liu, Wei (EEE) |
| Degree: | M.Sc. |
| Year: | 2024 |
| Department: | Department of Electrical and Electronic Engineering |
| Pages: | 50 pages : color illustrations |
| Language: | English |
| Abstract: | With the increasing global emphasis on addressing environmental concerns, there is a pressing need to promote new energy vehicles, particularly electric vehicles, as sustainable alternatives to fossil fuel powered vehicles. As electric vehicle technology continues to advance, the evolution of charging methods has become imperative, with wireless power transfer (WPT) technology garnering increasing attention. This dissertation is focus on the design and analyze of wireless power transmission system for electric vehicle. The research content of this study is as follows: • A bidirectional WPT system was designed to meet the practical requirements for electric vehicle charging and provide a valuable reference for vehicle-to-grid (V2G) power transfer. • A double-side inductor-capacitor-capacitor (D-LCC) compensation network was developed, with key parameters optimized for dual ZPAs to support CC-CV operation. The properties of the basic resonant compensation network and D-LCC compensation network was analyzed. The conclusion was reached that the D-LCC compensation topology is more suitable for wireless charging of electric vehicles. • A three-dimensional physical model of the transmitter and receiver inductor coils was designed using finite element analysis software, with accurate calculations of self-inductance, mutual inductance, and electromagnetic field simulations to determine magnetic flux densities. • A CC-CV charging mode was designed to respond changeable resistance of batteries. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8499.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.5 MB | Adobe PDF | View/Open |
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