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Modeling and Analysis of the Power Conditioning Circuit for an Electromagnetic Human Walking-Induced Energy Harvester

Author

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  • Ludwin Molina Arias

    (Department of Process Control, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland)

  • Joanna Iwaniec

    (Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland)

  • Marek Iwaniec

    (Department of Process Control, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland)

Abstract

Among the various alternative energy sources, harvesting energy from the movement of the human body has emerged as a promising technology. The interaction between the energy harvesting structure and the power conditioning circuit is nonlinear in nature, which makes selecting the appropriate design parameters a complex task. In this work, we present an electromagnetic energy harvesting system suitable for recovering energy from the movement of the lower limb joints during walking. The system under study is modeled and simulated, considering three different scenarios in which the energy source is the hip, knee, and ankle joint. The power generated by the energy harvester is estimated from kinematic data collected from an experimental gait study on a selected participant. State-space representation and Recurrence plots (RPs) are used to study the dynamical system’s behavior resulting from the interaction between the electromagnetic structure and the power conditioning circuit. The maximum power obtained through the simulation considering a constant walking speed of 4.5 km/h lays in the range of 1.4 mW (ankle joint) to 90 mW (knee joint) without implementing a multiplier gear.

Suggested Citation

  • Ludwin Molina Arias & Joanna Iwaniec & Marek Iwaniec, 2021. "Modeling and Analysis of the Power Conditioning Circuit for an Electromagnetic Human Walking-Induced Energy Harvester," Energies, MDPI, vol. 14(12), pages 1-24, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3367-:d:571014
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    References listed on IDEAS

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    3. Hu Shi & Zhaoying Liu & Xuesong Mei, 2019. "Overview of Human Walking Induced Energy Harvesting Technologies and Its Possibility for Walking Robotics," Energies, MDPI, vol. 13(1), pages 1-22, December.
    4. Young-Man Choi & Moon Gu Lee & Yongho Jeon, 2017. "Wearable Biomechanical Energy Harvesting Technologies," Energies, MDPI, vol. 10(10), pages 1-17, September.
    5. Albert Puig-Diví & Carles Escalona-Marfil & Josep Maria Padullés-Riu & Albert Busquets & Xavier Padullés-Chando & Daniel Marcos-Ruiz, 2019. "Validity and reliability of the Kinovea program in obtaining angles and distances using coordinates in 4 perspectives," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-14, June.
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    Cited by:

    1. Jing Li & Peiben Wang & Yuewen Gao & Dong Guan & Shengquan Li, 2022. "Quantitative Power Flow Characterization of Energy Harvesting Shock Absorbers by Considering Motion Bifurcation," Energies, MDPI, vol. 15(19), pages 1-21, September.
    2. Ihor Sobianin & Sotiria D. Psoma & Antonios Tourlidakis, 2022. "Recent Advances in Energy Harvesting from the Human Body for Biomedical Applications," Energies, MDPI, vol. 15(21), pages 1-24, October.
    3. Arkadiusz Kozieł & Łukasz Jastrzębski & Bogdan Sapiński, 2022. "Advanced Prototype of an Electrical Control Unit for an MR Damper Powered by Energy Harvested from Vibrations," Energies, MDPI, vol. 15(13), pages 1-17, June.

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