灵敏度(控制系统)
蒙特卡罗方法
功率(物理)
级联
控制理论(社会学)
最大功率转移定理
电子工程
计算机科学
工程类
数学
物理
统计
化学工程
量子力学
人工智能
控制(管理)
作者
Yao Wang,Amr Mostafa,Hua Zhang,Ying Mei,Chong Zhu,Fei Lu
出处
期刊:IEEE journal of emerging and selected topics in industrial electronics
[Institute of Electrical and Electronics Engineers]
日期:2022-07-01
卷期号:3 (3): 443-453
被引量:4
标识
DOI:10.1109/jestie.2021.3118274
摘要
In an inductive power transfer (IPT) system, the variations of passive parameters affect the system performance. This article investigates the impact of the variation of resonant parameters on the system power and efficiency in a 5.7 kW LCC compensated IPT system for electric vehicle charging application. For the single-parameter variation, the sensitivity of power and efficiency to each parameter is investigated by LTspice simulation. For multiparameter variations, exhaustive analysis and Monte-Carlo methods are applied to quantify the sensitivity issue. It indicates that with random multiparameter variations within ±10%, the 5.7 kW IPT system only has a 73.87% probability to satisfy a 10% power fluctuation of [5.13 kW, 6.27 kW] with efficiency above 92%. To mitigate the sensitivity issue, the cascade Monte-Carlo method is used to optimize the central values of parameters at the design stage, which can increase the yield rate in mass production from 73.87% to 82%. Furthermore, a frequency tuning method is proposed to regulate power and efficiency. Finally, a 5.7 kW full-power prototype is implemented. Experiments are performed using three special parameter combinations, which validated the sensitivity concern and the feasibility of the proposed frequency tuning method.
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