Statistical model for an energy harvesting system in human powered applications

Author(s):  
Oscar Lobato-Nostroza ◽  
Gerardo M. Chavez-Campos ◽  
Rafael Lara-Hernandez ◽  
Claudia V. Bazan-Rodriguez
2013 ◽  
Vol 476 ◽  
pp. 012011 ◽  
Author(s):  
Yuan Rao ◽  
Kelly M McEachern ◽  
David P Arnold

2014 ◽  
Vol 14 (7) ◽  
pp. 2084-2091 ◽  
Author(s):  
Vishwa Goudar ◽  
Zhi Ren ◽  
Paul Brochu ◽  
Miodrag Potkonjak ◽  
Qibing Pei

ENERGYO ◽  
2018 ◽  
Author(s):  
Yuan Rao ◽  
Kelly M. McEachern ◽  
David P. Arnold

2014 ◽  
Vol 1 (1-2) ◽  
Author(s):  
Yuan Rao ◽  
Kelly M. McEachern ◽  
David P. Arnold

AbstractA fully functional, self-sufficient body-worn energy harvesting system is presented in this paper. The system is designed for passively capturing energy from human motion, with the long-term vision of supplying power to portable, wearable, or even implanted electronic devices. Compared with state-of-the-art vibrational systems, the system requires no external power supplies and can bootstrap from zero-state-of-charge to generate electrical energy from walking, jogging, and cycling; convert the induced AC voltage to DC voltage; and then boost and regulate the DC voltage to charge a Li-ion-polymer battery. Measurements show that at open-load the system turns on when the input is above 1 V


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