Ning Ding , Xiangyang Wang , Pengfei Jin , Daoming Liu , Yeyun Cai , Hailing Fu , Fang Deng
{"title":"具有自我维持能量管理的太阳能可穿戴生理传感系统:设计与实现","authors":"Ning Ding , Xiangyang Wang , Pengfei Jin , Daoming Liu , Yeyun Cai , Hailing Fu , Fang Deng","doi":"10.1016/j.seta.2025.104548","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104548"},"PeriodicalIF":7.0000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A solar-powered wearable physiological sensing system with self-sustained energy management: Design and implementation\",\"authors\":\"Ning Ding , Xiangyang Wang , Pengfei Jin , Daoming Liu , Yeyun Cai , Hailing Fu , Fang Deng\",\"doi\":\"10.1016/j.seta.2025.104548\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":56019,\"journal\":{\"name\":\"Sustainable Energy Technologies and Assessments\",\"volume\":\"82 \",\"pages\":\"Article 104548\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Energy Technologies and Assessments\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213138825003790\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138825003790","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
A solar-powered wearable physiological sensing system with self-sustained energy management: Design and implementation
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.
期刊介绍:
Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.