← 返回 JSSC 论文列表JSSC 2022第9期RF & Wireless65nmEnergy HarvestingNeural Network Accelerator
A Reconfigurable DC-DC Converter for Maximum Thermoelectric Energy Harvesting in a Battery- Powered Duty-Cycling Wireless Sensor Node Y oung-Seok Noh , Jeong-Il Seo
一种可重构DC-DC转换器,用于热电能量收集最大化。
88.5%峰值效率(SIDO模式),93.3%峰值效率(降压模式),44%电池功耗节省
热电能量收集可重构转换器最大功率点跟踪零电压开关无线传感器节点
▸采用单电感多模式架构(SIDO/BTPB/DPBB)
▸自适应死区时间控制器实现ZVS
▸自适应开关尺寸结合MPPT技术
Abstract
This paper presents a reconfigurable dc–dc con- verter for maximum thermoelectric generator (TEG) energy harvesting in a battery-powered duty-cycling wireless sensor node. The proposed dc–dc converter adopts discontinuous energy harvesting, which operates in single-input dual-output (SIDO) boost, battery-TEG pile-up buck (BTPB), dual-phase buck–boost (DPBB), and battery supplied buck modes with a single shared inductor. Fabricated in a 65-nm CMOS process, the converter adopts an adaptive dead-time controller for zero-voltage switch- ing (ZVS) and an adaptive switch size (ASS) with maximum power point tracking (MPPT) to maximize efficiency in a wide TEG voltage range. The SIDO boost mode achieves 88.5% and 81.1% peak end-to-end efficiency with maximum and no-load conditions (only charging the battery), respectively. The combi- nation of BTPB and DPBB modes to maximize the TEG power extraction during the battery-powered operation results in up to 44% saving in battery power. The battery-supplied buck mode achieves 93.3% peak efficiency.