Self-powered human movement measurement with a unidirectional ratchet driven wearable energy harvester

被引:2
作者
Li, Chong [1 ]
Ma, Yongqi [1 ]
Chen, Liang [1 ]
Xing, Jichun [2 ]
Fang, Jiwen [1 ]
Zhang, Guoxing [1 ]
Shao, Jiang [1 ]
机构
[1] Jiangsu Univ Sci & Technol, Sch Mech Engn, Zhenjiang 212100, Peoples R China
[2] Yanshan Univ, Sch Mech Engn, Qinhuangdao 066004, Peoples R China
基金
中国国家自然科学基金;
关键词
Human movement measurement; Energy harvester; Wearable device; Self-powered sensing; FREQUENCY; DESIGN;
D O I
10.1016/j.measurement.2024.116066
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A large amount of energy is generated during human movement which is mostly not effectively utilized. To collect human movement energy and utilize it rationally, a wearable piezoelectric-electromagnetic energy harvester (WPEEH) driven by a unidirectional ratchet is proposed, which adopts the principle of up-conversion to convert mechanical energy into electrical energy. The electromagnetic power generator unit is used to obtain energy to power the sensing circuit, while piezoelectric generator unit can be used for both energy generation and self-powered sensing. A spring push rod and a ratchet structure are used to convert the swinging of the human limb into the unidirectional rotation of the device to enhance its energy harvesting efficiency. The theoretical model of the WPEEH is established, and the experimental test platform is built. The results show that the WPEEH is able to generate a maximum power of 17.2 mW at an oscillation frequency of 1.5 Hz. In the actual wearable test, the proposed energy harvester is able to supply the harvested energy to the low-power electronic devices through capacitors, and it enables to light up 42 LEDs as well as to drive the digital thermo-hygrometer to work continuously and stably. Apart from having excellent properties of a high output power and low drive frequency, the proposed energy harvester also exhibits a high energy density (7.1 x 10(-5) W/cm(3)). What's more, the speed of human movement can be predicted and calculated for different individuals by testing the results of the swing frequency with a maximum error of 2.71 %. The investigation proves that the proposed WPEEH can measure human movement and has great potential in the field of power supply for low-power electronic devices.
引用
收藏
页数:21
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