• DocumentCode
    1704192
  • Title

    A 400nW single-inductor dual-input-tri-output DC-DC buck-boost converter with maximum power point tracking for indoor photovoltaic energy harvesting

  • Author

    Chew, Kin Wai Roy ; Zhuochao Sun ; Tang, Hongying ; Siek, Liter

  • Author_Institution
    Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2013
  • Firstpage
    68
  • Lastpage
    69
  • Abstract
    Energy harvesting enables the remote sensors of the wireless sensor network to obtain power from the environment for their entire lifetime. For indoor remote sensors, amorphous silicon photovoltaic (PV) cell can be used to harvest energy from indoor lighting. Furthermore, if the power consumption of the sensor is low, e.g., the image sensor in [1], the power rating of the PV cell can be limited to tens or hundreds of microwatts to minimize the form factor of the sensor. However, as the output power of the PV cell varies greatly with illumination level [2] and the output voltage of the PV cell (VPV), an energy storage device, such as a battery, is required to regulate the harvester´s output power. Furthermore, a DC-DC converter with a maximum power point tracker (MPPT) is needed to lock the PV cell at its maximum power point (MPP).
  • Keywords
    DC-DC power convertors; amorphous semiconductors; elemental semiconductors; energy harvesting; inductors; maximum power point trackers; silicon; solar cells; wireless sensor networks; MPPT; PV cell; Si; amorphous silicon photovoltaic cell; illumination level; image sensor; indoor lighting; indoor photovoltaic energy harvesting; indoor remote sensors; maximum power point tracking; power consumption; single-inductor dual-input-tri-output DC-DC buck-boost converter; wireless sensor network; Batteries; Computer architecture; Energy harvesting; Maximum power point trackers; Microprocessors; Power demand; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International
  • Conference_Location
    San Francisco, CA
  • ISSN
    0193-6530
  • Print_ISBN
    978-1-4673-4515-6
  • Type

    conf

  • DOI
    10.1109/ISSCC.2013.6487640
  • Filename
    6487640