⚡ 本页包含 AI 生成的分析内容，仅供参考
该论文提出了一种无需预定义参数的运行时能量损耗优化器，用于能量回收型占空比系统。通过利用3电平转换器将输出电容能量回收至飞电容，实现了与最优能量损耗偏差小于2.15%，并增强了对电池电压和漏电流变化的鲁棒性。
Abstract This work proposes a predefined-parameter-free runtime-Eloss optimizer for energy-recycling duty-cycled systems. By leveraging a 3-level converter to recycle output-capacitance energy to the flying capacitor, it achieves <2.15% deviation from optimal Eloss with increased robustness against battery voltage and leakage current variations. It achieves a quiescent current of 15nA and an 80% efficiency at a 1#A load current, while eliminating sub-harmonic oscillation. It saves energy loss by up to 60% across a wide range of time spent in the sleep state. Wearable devices impose stringent constraints on volume and cost, driving the use of lowprofile batteries and advanced power management techniques to extend battery life. These techniques include low-duty-cycle operation and power gating (PG) in the loading microprocessor (#P). In addition, high power conversion efficiency (PCE) under light-load
Jianxin Yang, Rui P. Martins, Mo Huang
University of Macau, Macau, China