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JSSC 2012第9期Power Management0.35μm CMOSEnergy HarvestingNeural Network Accelerator

Platform Architecture for Solar Thermal and Vibration Energy Combining With MPPT

提出一种结合太阳能、热能和振动能量的平台架构,采用双路径能量收集,峰值效率提升11%-13%。
输入电压20mV至5V,光伏升压峰值效率83%,热电升压58%,压电升降压79%,MPPT跟踪效率96%
能量收集最大功率点跟踪光伏热电压电
双路径能量收集架构:采用双路径架构替代传统两级方法,实现了11%–13%的峰值效率提升,显著提高了能量收集的整体效率。
可重构多输入多输出开关矩阵:通过可重构开关矩阵同时整合光伏、热电和压电三种能量源,利用单一电感实现多源能量收集,系统可处理20 mV至5 V的宽输入电压范围。
基于时间的功率监测器实现最大功率点跟踪:提出一种时间基功率监测器,用于光伏采集器的最大功率点跟踪,跟踪效率峰值达96%,优化了能量提取效率。
单电感多源能量提取:通过共享电感设计,实现了光伏升压、热电升压和压电升降压转换器的峰值效率分别为83%、58%和79%,减少了硬件复杂度和成本。
Abstract
A platform architecture combining energy from solar, thermal, and vibration sources is presented. A dual-path architecture for energy harvesting is employed that has a peak ef- ficiency improvement of 11%–13% over the traditional two-stage approach. The system implemented consists of a recon figurable multi-input, multi-output swit ch matrix that combines energy from three distinct energy-harvesting sources–photovoltaic, thermoelectric, and piezoelectric. The system can handle input voltages from