← 返回 JSSC 论文列表JSSC 2022第9期Power Management0.153µm CMOSNeural Network Accelerator
A 94.3% Peak Efficiency Adaptive Switchable CCM and DCM Single-Inductor Multiple-Output Converter With 0.03 mV/mA Low Crosstalk and 185 nA Ultralow Quiescent Tzu-Hsien Y ang, Student Member , IEEE, Y ong-Hwa Wen, Y u-Jheng Ouyang, Chun-Kai Chiu, Bo-Kuan Wu
提出一种自适应可切换CCM和DCM的单电感多输出转换器，峰值效率达94.3%。
峰值效率94.3%，负载能力3W，静态电流185nA，芯片面积1.2×1.7mm²
单电感多输出转换器自适应切换交叉干扰抑制超低功耗峰值效率
▸自适应可切换CCM和DCM技术
▸五输入交叉干扰抑制误差放大器(CREA)
▸超低功耗(ULP)模式
Abstract
This article proposes a single-inductor multi-output converter implemented in 0.153 µm CMOS process, including the adaptive switchable continuous conduction mode (CCM) and discontinuous conduction mode (DCM) (ASCD) technique, and a five-input crosstalk reduction error amplifier (CREA) to minimize the cross regulation to 0.03 mV/mA and achieve load capability up to 3 W. At ultra-light loads, the proposed ultralow power (ULP) mode is applied to reach 185 nA quiescent current and enhance light load power efficiency. Moreover, the peak efficiency is as high as 94.3% with a chip area of 1.2 × 1.7 mm 2.