Optimization Method for High-Order Wireless Power Transfer System Considering Gain Constraint and Components Stress

被引:2
作者
Cheng, Bing [1 ]
He, Liangzong [1 ]
Liu, Houxuan [1 ]
机构
[1] Xiamen Univ, Elect Engn Dept, Xiamen 361012, Peoples R China
来源
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION | 2024年 / 10卷 / 03期
关键词
Impedance; Stress; Voltage; Transportation; Optimization methods; Topology; RLC circuits; Components stress minimum; efficiency improvement; fixed transmission gain; high-order networks; wireless power transfer (WPT); DESIGN; BATTERY; VOLTAGE;
D O I
10.1109/TTE.2023.3323671
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
High-order resonant networks have the advantages of high system efficiency, small output ripple, and low component stress, which makes them suitable for high-power transportation electrification fields. However, the high design freedom inherent in high-order networks has not been fully considered in the existing studies. Therefore, in this article, a comprehensive optimization for network parameters with the constraint of fixed transmission gain and maximum component stress is done to improve its network performance. First, the relationship among network parameters, loop currents, transmission efficiency, and gain can be obtained according to the general circuit model. Then, parameters resonant conditions to reduce the loop currents and enhance transmission efficiency can be obtained. On the other hand, by adopting the Lagrange multiplier method, the specific value of network parameters can be deduced to achieve optimal transmission efficiency under fixed gain and component stress constraints. Based on the above analysis results, the parameters freedom of any given network can be utilized completely to obtain optimum performance, including efficiency enhancement, expected input and output characteristics, and components stress minimum. Finally, two experimental platforms, inductor-capacitor-capacitor (LCC)/LCC and LCC/series (LCC/S) networks for constant current and voltage, respectively, are built to verify the feasibility of the proposed optimization method.
引用
收藏
页码:4833 / 4843
页数:11
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