An Efficiency Optimization-Based Asymmetric Tuning Method of Double-Sided LCC Compensated WPT System for Electric Vehicles
Autor: | Cheol-Hee Jo, Chang-Su Shin, Sung-Jun Park, Yafei Chen, Dong-Hee Kim, Hailong Zhang |
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Rok vydání: | 2020 |
Předmět: |
Computer science
020208 electrical & electronic engineering Operating frequency 02 engineering and technology law.invention Inductance Capacitor Control theory law 0202 electrical engineering electronic engineering information engineering Constant current Wireless power transfer Electrical and Electronic Engineering Transformer |
Zdroj: | IEEE Transactions on Power Electronics. 35:11475-11487 |
ISSN: | 1941-0107 0885-8993 |
DOI: | 10.1109/tpel.2020.2984712 |
Popis: | Compensation topologies play an essential role in wireless power transfer systems for electric vehicles. Specifically, the double-sided LCC compensated (DS- LCC ) topology has been widely adopted, owing to its inherent advantages, such as load-independent constant current (CC) output, low sensitivity to load variation, and high freedom in parameter design. However, large resonant devices in the DS- LCC topology lower the system efficiency and increase the complexity of optimal parameter tuning. Therefore, in this article, the parameters of the DS- LCC compensation topology are reconfigured by adjusting the ratios of its two compensation inductances without changing the specified system-level parameters, such as the loosely coupled transformer, operating frequency, and specified CC outputs. The system performance under each case is analyzed and compared in detail, based on which, an asymmetric parameter-design method is proposed to optimize the system efficiency. To verify the reasonability of the proposed tuning method, a 6.6-kW experimental prototype is configured, and comparative experiments are conducted. The experimental results indicate that, compared with the conventional method, the proposed parameter-tuning method improves the system efficiency under overall load conditions, especially under light loads. |
Databáze: | OpenAIRE |
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