Modeling and Control of a 7-Level Switched Capacitor Rectifier for Wireless Power Transfer Systems
Date of Award
Doctor of Philosophy
Daniel J. Costinett
Leon M. Tolbert, Benjamin J. Blalock, Songnan Yang
Wireless power continues to increase in popularity for consumer device charging. Rectifier characteristics like efficiency, compactness, impedance tunability, and harmonic content make the multi-level switched capacitor rectifier (MSC) an exceptional candidate for modern WPT systems. The MSC shares the voltage conversion characteristics of a post-rectification buck-boost topology, reduces waveform distortion via its multi-level modulation scheme, demonstrates tank tunability via the phase control inherent to actively switched rectifiers, and accomplishes all this without a bulky filter inductor. In this work, the MSC WPT system operation is explained, and a loss model is constructed. A prototype system is used to validate the models, showing exceptional agreement with the predicted efficiencies. The modeled MSC efficiencies are between 96.1% and 98.0% over the experimental power range up to 20.0 W.
Two significant control loops are required for the MSC to be implemented in a real system. First, the output power is regulated using the modulation of the rectifier's input voltage. Second, the switching frequency of the rectifier must exactly match the WPT carrier frequency set by the inverter on the primary side. Here, a small signal discrete time model is used to construct four transfer functions relating to the output voltage. Then, four novel time-to-time transfer functions are built on top of the discrete time model to inform the frequency synchronization feedback loop. Both loops are tested and validated in isolation. Finally, the dual-loop control problem is defined, closed form equations that include loop interactions are derived, and stable wide-range dual-loop operation is demonstrated experimentally.
Cochran, Spencer, "Modeling and Control of a 7-Level Switched Capacitor Rectifier for Wireless Power Transfer Systems. " PhD diss., University of Tennessee, 2021.
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