摩擦电效应
电感器
能量收集
整流器(神经网络)
电容器
材料科学
电气工程
电容
转换器
电压
开关电容器
功率(物理)
光电子学
物理
工程类
计算机科学
电极
随机神经网络
量子力学
机器学习
循环神经网络
人工神经网络
复合材料
作者
Ismail Kara,Mustafa Becermis,Mohamed Abdel-Aal Kamar,Mustafa Aktan,Hakan Doğan,Senol Mutlu
出处
期刊:IEEE Transactions on Circuits and Systems I-regular Papers
[Institute of Electrical and Electronics Engineers]
日期:2020-09-29
卷期号:68 (1): 210-223
被引量:51
标识
DOI:10.1109/tcsi.2020.3025468
摘要
In this article, first integrated circuit (IC) implementation of parallel synchronized switching harvesting on inductor (p-SSHI) is presented for triboelectric energy harvester targeting 1 Hz to 5 Hz mechanical motions. It is accompanied by on-chip buck and switched capacitor DC-DC converters, all capable of handling 70 V levels. Unlike piezoelectric harvesters, triboelectric nanogenerators (TENGs) can produce very high open-circuit voltages; thus, the proposed system utilizes this property within the technology limits to maximize the extracted power. An in-house manufactured TENG using steel and polytetrafluoroethylene (PTFE) is modeled for sub-5 Hz motions. The energy is extracted and stored in an external capacitance until its voltage reaches 70 V, which is achieved in three press-and-release mechanical cycles. 70-to-2 V down conversion is carried on by 70-to-10 V buck converter followed by a 10-to-2 V switched capacitor DC-DC converter. A chip is manufactured in 0.18 μm HV BCD process with an active area of 6.25 mm 2 . End-to-end peak efficiency is measured as 32.71% for 1 Hz motion with a 722 μW total power delivery to the load for 4 ms.
科研通智能强力驱动
Strongly Powered by AbleSci AI