Abstract
In both normal and fast wireless electric vehicle charging systems, constant current/constant voltage (CC/CV) charging profile, regardless of the variation of the battery state of charge, is one of the most essential characteristics to ensure the battery performance and reliability. The input zero phase angle (ZPA) is able to minimize the system volt-ampere rating, enhance the power transfer capability, and make it easy to achieve soft-switching operation over the full range of battery charging profile. Therefore, the load-independent CC and CV output characteristics with ZPA conditions are necessary for wireless charging systems. However, the existing methods that can achieve these functions either add power switches or need a large number of compensation components, which make the system inefficient, uneconomical, and bulky. In this paper, a unified resonant tuning configuration with minimum passive component counts is proposed to achieve CC and CV outputs at two ZPA operating frequencies. According to the proposed configuration, all the possible inductive power transfer (IPT) and capacitive power transfer (CPT) topologies are analogized. With these topologies, both CC and CV outputs with ZPA are achieved using a minimum number of compensation components and no additional power switches. Among all the simplest IPT topologies, a primary Series-secondary Series and Parallel (S-SP) compensation topology is illustrated to demonstrate the analysis.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 9069468 |
| Tidsskrift | IEEE Transactions on Intelligent Transportation Systems |
| Vol/bind | 22 |
| Udgave nummer | 1 |
| Sider (fra-til) | 600-610 |
| Antal sider | 11 |
| ISSN | 1524-9050 |
| DOI | |
| Status | Udgivet - jan. 2021 |
Bibliografisk note
Funding Information:In 2018, he received the funding from the China Scholarship Council. His current research interests include wireless power transfer and resonant converters.
Funding Information:
Manuscript received August 6, 2019; revised December 15, 2019 and February 19, 2020; accepted March 23, 2020. Date of publication April 16, 2020; date of current version December 24, 2020. This work was supported in part by the Scholarship from the China Scholarship Council and in part by the National Natural Science Foundation of China under Grant 51777146 and Grant 51977163. The Associate Editor for this article was Z. Li. (Corresponding author: Chunting Chris Mi.) Jianghua Lu, Guorong Zhu, and Deyan Lin are with the School of Automation, Wuhan University of Technology, Wuhan 430070, China (e-mail: tri_ljh@whut.edu.cn; zhgr_55@whut.edu.cn; deyanlin@whut.edu.cn).
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