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A solar-powered wearable physiological sensing system with self-sustained energy management: Design and implementation

  • Ning Ding
  • , Xiangyang Wang
  • , Pengfei Jin
  • , Daoming Liu
  • , Yeyun Cai*
  • , Hailing Fu
  • , Fang Deng
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Beijing Institute of Technology (Zhuhai)

Research output: Contribution to journalArticlepeer-review

Abstract

Wearable sensors are essential for continuous physiological monitoring, yet their long-term operation is often limited by power constraints, particularly under high power demands and device miniaturization. To overcome this challenge, this paper presents the design, implementation, and evaluation of a solar-powered wearable physiological sensing system with self-sustained energy management. Flexible solar cells embedded in clothing enable continuous energy harvesting, while an efficient hardware architecture and a staged startup strategy address cold-start issues under zero-energy conditions. Furthermore, an event-driven open-circuit voltage maximum power point tracking control algorithm, specifically designed for micro-scale photovoltaic systems, is integrated into the energy management unit, achieving a tracking accuracy of 99.75 %. Through a synergistic hardware–software co-design, the system ensures sustained positive energy accumulation. It supports four flexible sensor nodes capable of acquiring, transmitting, and visualizing five physiological signals: electrocardiogram, heart rate, blood oxygen saturation, body temperature, and motion status. Experimental results demonstrate that the system maintains a stable 3.3 V output under different solar irradiance and dynamic lighting conditions, enabling reliable self-powered operation of the four flexible sensor nodes. This work offers a promising approach for long-term, autonomous wearable health monitoring and energy optimization.

Original languageEnglish
Article number104548
JournalSustainable Energy Technologies and Assessments
Volume82
DOIs
Publication statusPublished - Oct 2025
Externally publishedYes

Keywords

  • Energy harvesting
  • Maximum power point tracking
  • Physiological signal monitoring
  • Self-powered wearable device
  • Solar energy

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