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A Real-Time-Link-Adaptive Operation Scheme for Maximum Energy Storage Efficiency in Resonant CM Wireless Power Receivers
IEEE Transactions on Circuits and Systems I: Regular Papers ( IF 5.2 ) Pub Date : 2021-01-01 , DOI: 10.1109/tcsi.2020.3034391
Mansour Taghadosi , Hossein Kassiri

The development, analysis, and experimental validation of an energy storage algorithmic scheme for performance optimization of resonant inductive power receivers are presented. Motivated by the crucial role of efficient energy storage in the next generation of brain-implantable devices, we introduce an energy management strategy in the design of wireless powering links, in which, the key performance measure is the energy stored during a limited time interval rather than the average energy delivered to the load. The presented strategy is proven analytically to yield the theoretically-maximum energy storage efficiency over a pre-determined period of time. Additionally, thanks to the algorithm’s closed-form solution, the optimization can be done in real time, offering the potential for a solution that is adaptive to any variations in physical (e.g., coil separation, Rx rotation, etc.) and/or electrical (e.g., Q-factor, media conductivity, etc.) properties of the link, conditional to a low-power circuit implementation for its evaluation. The efficacy and precision of the solution obtained from the presented analytical model is confirmed with CAD-based simulation results, and later validated using experimental measurements. Our experimental results for two links with different characteristics (resonance frequency, coils size and separation, etc.) show a 52.5% and 67.5% improvement in overall energy storage efficiency compared to the standard CM receiver design in which resonance-to-charging switching is performed when the receiver’s LC tank energy accumulation starts to saturate. This is while the presented method does not require any calibration and is designed to be employed by any generic current-mode receiver.

中文翻译:

用于谐振 CM 无线电力接收器中最大能量存储效率的实时链路自适应操作方案

介绍了用于谐振感应式功率接收器性能优化的能量存储算法方案的开发、分析和实验验证。受高效能量存储在下一代脑植入设备中的关键作用的启发,我们在无线供电链路的设计中引入了一种能量管理策略,其中,关键性能度量是在有限的时间间隔内存储的能量而不是比传递给负载的平均能量。所提出的策略经过分析证明,可以在预定的时间段内产生理论上最大的能量存储效率。此外,由于算法的封闭形式解决方案,优化可以实时完成,提供了一个解决方案的潜力,可以适应任何物理变化(例如,线圈分离、Rx 旋转等)和/或链路的电(例如,Q 因子、介质电导率等)属性,以低功率电路实施为条件以对其进行评估。从所呈现的分析模型中获得的解决方案的有效性和精度通过基于 CAD 的模拟结果得到证实,然后使用实验测量进行验证。我们对具有不同特性(谐振频率、线圈尺寸和分离度等)的两条链路的实验结果表明,与标准 CM 接收器设计相比,整体储能效率提高了 52.5% 和 67.5%,其中谐振到充电切换是当接收器的 LC 槽能量积累开始饱和时执行。
更新日期:2021-01-01
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