A low-power-consumption boost converter with maximum power tracking algorithm for indoor photovoltaic energy harvesting

Dian Lin Tsai, Hung Hsien Wu, Chia-Ling Wei

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

In recent years, wireless sensor network technique develops rapidly, but its operation life is still limited by the energy storage element. Thus, if ambient energy can be harvested to supply the sensors, the operation life can be increased and the cost can be reduced. A boost converter for indoor photovoltaic energy harvesting with low power consumption is proposed in this work. For harvesting energy from photovoltaic cells, the proposed converter uses the maximum power point tracking algorithm, which regulates the conduction time of the power transistors. The harvested energy is stored in a super capacitor. The proposed system is integrated into a chip, which was fabricated by using a 0.18μm 1P6M mixed-signal process, and the total area is 853×1006 μm2.

原文English
主出版物標題WPTC 2017 - Wireless Power Transfer Conference
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509045853
DOIs
出版狀態Published - 2017 六月 19
事件2017 Wireless Power Transfer Conference, WPTC 2017 - Taipei, Taiwan
持續時間: 2017 五月 102017 五月 12

出版系列

名字WPTC 2017 - Wireless Power Transfer Conference

Other

Other2017 Wireless Power Transfer Conference, WPTC 2017
國家Taiwan
城市Taipei
期間17-05-1017-05-12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

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