Design of Multi-Receiver IPT System for Electric Vehicles Considering Transfer Efficiency and Different Power Requirements

Zhi Feng, Junjun Deng*, Lantian Li, Baokun Zhang, Zhenpo Wang

*此作品的通讯作者

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2 引用 (Scopus)
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摘要

Inductive power transfer (IPT) system is a reasonable power supply option for electric vehicles (EVs), especially the multi-receiver IPT system showing potential in the charge-while-drive scenario. From the circuit analysis, it can be seen difficult to analytically get the solution that reach both different power requirements in receivers and optimal system transfer efficiency. This study demonstrates an optimization-based design method of the single-transmitter coupled multi-receiver (S-M) wireless charger for EVs, considering the optimization of system transfer efficiency under power requirements that can be different in each receiver. A two-level mathematical optimization model is constructed to deal with the complex interacting relationships, in which different power requirements are restricted specifically in subsystem levels. The inconsistency of subsystems is coordinated and optimal system efficiency is realized in the system level. Take the dual-receiver system as an example, an optimized feasible solution is reached and can be quickly updated when power requirements changed. Finally, the optimization-based design method has been validated by both simulation model and constructed prototype.

源语言英语
1878-1884
页数7
DOI
出版状态已出版 - 2022
活动37th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2022 - Houston, 美国
期限: 20 3月 202224 3月 2022

会议

会议37th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2022
国家/地区美国
Houston
时期20/03/2224/03/22

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引用此

Feng, Z., Deng, J., Li, L., Zhang, B., & Wang, Z. (2022). Design of Multi-Receiver IPT System for Electric Vehicles Considering Transfer Efficiency and Different Power Requirements. 1878-1884. 论文发表于 37th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2022, Houston, 美国. https://doi.org/10.1109/APEC43599.2022.9773731