Open AccessResearch on efficiency optimization control strategy of WPT system based on optimal load matching
Author(s) -
Qiu Xueying,
Qiao Kangheng,
Lei Wang,
Yan Liang,
Xie Hailang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1871/1/012032
Subject(s) - correctness , inductance , rectifier (neural networks) , computer science , matching (statistics) , control theory (sociology) , power (physics) , transmission (telecommunications) , power transmission , voltage , control (management) , electronic engineering , engineering , electrical engineering , mathematics , telecommunications , physics , statistics , stochastic neural network , quantum mechanics , machine learning , artificial intelligence , recurrent neural network , artificial neural network , programming language
Aiming at the problem that the transmission efficiency of SS-compensated MCR-WPT (Magnetic resonance wireless power transmission) is affected by load changes, this paper uses mutual inductance theory to analyze the equivalent circuit model, obtains the relationship between load and transmission efficiency, and proposes a controllable rectifier bridge for load matching, the front-end cascaded buck converter makes the output voltage regulation control scheme. Finally, modeling and simulation are used to verify the correctness of the load matching theory and control strategy.