Requirement-Driven Magnetic Beamforming for MIMO Wireless Power Transfer Optimization Guodong Cao, Hao Zhou, Hangkai Zhang, Jun Xu, Panlong Yang, and.

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Presentation transcript:

Requirement-Driven Magnetic Beamforming for MIMO Wireless Power Transfer Optimization Guodong Cao, Hao Zhou, Hangkai Zhang, Jun Xu, Panlong Yang, and Xiang-Yang Li School of Computer Science, USTC 2018-06-13

Outline Background Problem formulation Problem solution Evaluation Prototype implementation Conclusion Hao Zhou　　　　　　　　　　

Wireless Power Transmission (WPT) Inductive coupling (IC) Magnetic resonant coupling (MRC) The self-inductance and capacitor are tuned at each TX/RX so that their impacts cancel each other at the resonant frequency Hao Zhou　　　　　　　　　　

MRC-WPT SISO / SIMO MISO MIMO Qi 1.2 Rezence Magnetic mimo [Dina et.al. Mobicom 2014] MIMO MultiSpot [Dina et.al. Mobicom 2015] Hao Zhou　　　　　　　　　　

Application scenario Requirement-aware MIMO MRC-WPT Hao Zhou　　　　　　　　　　

Outline Background Problem formulation Problem solution Evaluation Prototype implementation Conclusion Hao Zhou　　　　　　　　　　

System architecture Assumption Magnetic resonance at each TX/RX Mutual inductances are available through MIMO channel estimation method Hao Zhou　　　　　　　　　　

Circuit equations Current equation Voltage equation Hao Zhou　　　　　　　　　　

Matrix expression H : RX current transform matrix B : TX voltage transform matrix Hao Zhou　　　　　　　　　　

Weighted sum-power maximization (WSPMax) Hao Zhou　　　　　　　　　　

Weighted sum-power maximization (WSPMax) Power budget constraint Peak current constraint Peak voltage constraint Hao Zhou　　　　　　　　　　

Outline Background Problem formulation Problem solution Evaluation Prototype implementation Conclusion Hao Zhou　　　　　　　　　　

Basic idea WSPMax DUAL-W W-LR W-LR-E Hao Zhou　　　　　　　　　　

Solution for W-LR-E problem (1/3) Lagrangian multiplier method Seek the stationary points to function : Matrix expression: Hao Zhou　　　　　　　　　　

Solution for W-LR-E problem (2/3) TX current canditates : eigenvector of matrix Y with For the s-th TX current candiate Result of W-LR-E: with Hao Zhou　　　　　　　　　　

Solution for W-LR-E problem (3/3) Optimal solution of W-LR-E Optimal solution of W-LR Hao Zhou　　　　　　　　　　

Further discussion without peak current/voltage constraints Theoretical bound of the WSPMax problem For given weight factor matrix W Adjusting mutual inductances Tuning the TX/RX resistances Hao Zhou　　　　　　　　　　

Further discussion without peak current/voltage constraints Power transfer efficiency maximization problem The problem can be solved without coordination from the RXs Hao Zhou　　　　　　　　　　

Outline Background Problem formulation Problem solution Evaluation Prototype implementation Conclusion Hao Zhou　　　　　　　　　　

Experimental scenario 5TXs and 4RXs Hao Zhou　　　　　　　　　　

Performance evaluation Two TXs Five TXs Hao Zhou　　　　　　　　　　

Converge evaluation Hao Zhou　　　　　　　　　　

Requirement-driven evaluation Influence of the weight factors Hao Zhou　　　　　　　　　　

Outline Background Problem formulation Problem solution Evaluation Prototype implementation Conclusion Hao Zhou　　　　　　　　　　

Prototype testbed Hao Zhou　　　　　　　　　　

Circuit diagram Hao Zhou　　　　　　　　　　

Verification over prototype testbed Hao Zhou　　　　　　　　　　

Another version of the prototype Larger size of TX coils Hao Zhou　　　　　　　　　　

Outline Background Problem formulation Problem solution Evaluation Prototype implementation Conclusion Hao Zhou　　　　　　　　　　

Conclusion WSPMax problem in the MIMO MRC-WPT system Lagrangian relaxation based algorithm Solution to the relaxed problem Obtain the eigenvector of a constructed matrix Y WSPMax without peak current/voltage constraints A close-form theoretical bound of the WSPMax problem Power transfer efficiency maximization problem could be solved through a TX-only method Prototype testbed Hao Zhou　　　　　　　　　　

Thanks! Thanks Hao Zhou　　　　　　　　　　