Multi-Source In-Door Energy Harvesting for Non-volatile Processors

被引:0
|
作者
Ding, Caiwen [1 ]
Heidari, Soroush [2 ]
Wang, Yanzhi [1 ]
Liu, Yongpan [3 ]
Hu, Jingtong [2 ]
机构
[1] Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13210 USA
[2] Oklahoma State Univ, Sch Elect & Comp Engn, Stillwater, OK 74078 USA
[3] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
关键词
CONVERTER;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Due to size, longevity, safety, and recharging concerns, energy harvesting is becoming a better choice for many wearable embedded systems. However, harvested energy is intrinsically unstable. In order to overcome this drawback, nonvolatile processors (NVPs) was proposed to bridge intermittent program execution. However, even with NVPs, frequent power interruption will severely degrade system performance. In this paper, we will propose a multi-source energy harvesting system to combine multiple harvesting sources to provide a more stable power supply using real-life ambient in-door irradiation level and thermal energy power trace. Maximum power extraction and converter parameter optimization techniques will be discussed. Experimental results show that by optimizing the MOSFET switch size in DC-DC converters between the harvesting system and NVPs, the average output power of the multi-source harvesting system can be increased. The proposed architecture is very promising in providing a stable energy source for NVPs.
引用
收藏
页码:173 / 176
页数:4
相关论文
共 50 条
  • [1] Neural Network-based Prediction Algorithms for In-Door Multi-Source Energy Harvesting System for Non-Volatile Processors
    Liu, Ning
    Ding, Caiwen
    Wang, Yanzhi
    Hue, Jingtong
    [J]. 2016 INTERNATIONAL GREAT LAKES SYMPOSIUM ON VLSI (GLSVLSI), 2016, : 275 - 280
  • [2] Multi-Source Energy Harvesting Management and Optimization for Non-volatile Processors
    Heidari, Soroush
    Ding, Caiwen
    Liu, Yongpan
    Wang, Yanzhi
    Hu, Jingtong
    [J]. 2015 SIXTH INTERNATIONAL GREEN COMPUTING CONFERENCE AND SUSTAINABLE COMPUTING CONFERENCE (IGSC), 2015,
  • [3] Dynamic Converter Reconfiguration for Near-Threshold Non-Volatile Processors Using In-door Energy Harvesting
    Ding, Caiwen
    Li, Hongjia
    Hu, Jingtong
    Liu, Yongpan
    Wang, Yanzhi
    [J]. PROCEEDINGS OF THE 34TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD), 2016, : 289 - 295
  • [4] Checkpointing-aware Data Allocation for Energy Harvesting Powered Non-volatile Processors
    Li, Fuyang
    Li, Qing'an
    Xue, Chun Jason
    [J]. 2019 IEEE NON-VOLATILE MEMORY SYSTEMS AND APPLICATIONS SYMPOSIUM (NVMSA-2019), 2019,
  • [5] PowerPool: Multi-source Ambient Energy harvesting
    Cui, Xiang
    Zhang, Ji
    Zhou, Hao
    Deng, Chang
    [J]. 2020 6TH INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING AND COMMUNICATIONS (BIGCOM 2020), 2020, : 86 - 90
  • [6] Passive multi-source energy harvesting schemes
    Schlichting, Alexander
    Tiwari, Rashi
    Garcia, Ephrahim
    [J]. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2012, 23 (17) : 1921 - 1935
  • [7] Multi-Source Energy Harvesting Power Management
    Schlichting, Alexander D.
    Tiwari, Rashi
    Garcia, Ephrahim
    [J]. ACTIVE AND PASSIVE SMART STRUCTURES AND INTEGRATED SYSTEMS 2011, 2011, 7977
  • [8] A Survey of Multi-Source Energy Harvesting Systems
    Weddell, Alex S.
    Magno, Michele
    Merrett, Geoff V.
    Brunelli, Davide
    Al-Hashimi, Bashir M.
    Benini, Luca
    [J]. DESIGN, AUTOMATION & TEST IN EUROPE, 2013, : 905 - 908
  • [9] Energy Management in a Multi-Source Energy Harvesting IoT System
    Garg, Ritu
    Garg, Neha
    [J]. JOURNAL OF INFORMATION TECHNOLOGY RESEARCH, 2020, 13 (02) : 42 - 59
  • [10] MOUSE: Inference In Non-volatile Memory for Energy Harvesting Applications
    Resch, Salonik
    Khatamifard, S. Karen
    Chowdhury, Zamshed, I
    Zabihi, Masoud
    Zhao, Zhengyang
    Cilasun, Husrev
    Wang, Jian-Ping
    Sapatnekar, Sachin S.
    Karpuzcu, Ulya R.
    [J]. 2020 53RD ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE (MICRO 2020), 2020, : 400 - 414