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JSSC 2022第9期RF & Wireless65nmEnergy HarvestingNeural Network Accelerator

A Reconfigurable DC-DC Converter for Maximum Thermoelectric Energy Harvesting in

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-tim