Magnetostrictive Iron-Gallium Alloy Harvester With Efficient Two-Mode Ac-Dc Converting Technology For Effective Vibration Energy Harvesting

AIP ADVANCES(2020)

引用 6|浏览1
暂无评分
摘要
A magnetostrictive vibration energy harvester based on an iron-gallium alloy composite cantilever beam is developed, and its capability is optimized from the aspects of bias magnetic field and the number of active layers. To solve the issue of low and irregular output voltage, it designs a converter suitable for a low-power harvester to make full use of the generated electric energy. A set of AC-DC converters with two working modes is designed by using the multiple voltage rectification method, which is able to directly drive low power load or store energy to supply power to higher power load. Through theoretical simulation and experiment, the converter's characteristics, such as rectifier and filter characteristics, energy storage, and release process are systematically studied and tested. 1 V AC output voltage of the harvester is able to be converted into 5 V DC voltage after being processed by the converter. The proposed harvester provides an excellent vibration harvesting capacity that the AC normalized power density (power density per volume and acceleration) reaches 7.4 mW/(cm(3)/g). The harvesting system with the two-mode converter has achieved a high normalized DC output power vs AC input voltage of 630 mu W/V. We have applied the harvester and converter for a low power electronic meter, which can work normally and display the time, temperature, and humidity in the laboratory. In addition, we have also applied the harvesting system for a higher power (1.2 W) electric fan with a universal serial bus (USB) port. After battery charging and IP5306 voltage boosting, the harvester meets the normal operation requirements of an electric fan with a USB port and it is able to operate normally.
更多
查看译文
关键词
effective vibration energy harvesting,iron–gallium alloy harvester,magnetostrictive iron–gallium,two-mode
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要