Volume 6 Number 2 (Feb. 2011)
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JCP 2011 Vol.6(2): 305-312 ISSN: 1796-203X
doi: 10.4304/jcp.6.2.305-312

Optimization Model of the Transcutaneous Energy Transmission System for Achieving Maximum Power Transfer Capability

Liangyu Bai, Houjun Tang, Yang Xu
Department of Electrical Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

Abstract—Transcutaneous energy transmission (TET) systems have been a topic of intense research. Such systems play an important role in offering the opportunity to provide power to implantable biomedical devices through wireless power transmission. It eliminates the serious infection risk associated with direct cable connections through the skin. Proper performance of the TET system requires optimization of their electronic component parameters. In this paper, an optimization model is proposed for the preliminary design for two compensated capacitance and two coil inductance. The objective is the power transfer capability of the system. The design variables include the primary and secondary coil inductance. The constrained conditions are peak overvoltage, peak withstand current of the system electronic components and bifurcation phenomenon. This model provides a new and useful tool for determining the compensated capacitance and coil inductance of the TET system. The theoretical analysis is verified by simulated and experimental results. The maximum power transfer capability can be achieved through the optimization solutions in steady-state.

Index Terms—transcutaneous energy transmission (TET) system, power transfer capability, interior point algorithm, biomedical implantable devices

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Cite: Liangyu Bai, Houjun Tang, Yang Xu, "Optimization Model of the Transcutaneous Energy Transmission System for Achieving Maximum Power Transfer Capability," Journal of Computers vol. 6, no. 2, pp. 305-312, 2011.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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