On the efficacy of charging a battery using a chaotic energy harvester
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Introduction of stiffness nonlinearities to broaden the frequency bandwidth of vibratory energy harvesters has the adverse influence of complicating the response behavior of the harvester. As such, unlike linear energy harvesters, for which direct performance metrics can be easily developed, it is not always easy to develop metrics to assess the performance of nonlinear energy harvesters. One particular issue arises when the harvester operates in its chaotic regime resulting in an unpredictable response, under which the harvester’s performance is hard to assess. In this paper, we present a statistical technique to estimate the charging time of a battery being charged by a chaotic vibratory input. The proposed approach, which accounts for the presence of a rectifier circuit, a buck converter, and the dependence of the battery voltage on the state of charge, only requires the knowledge of the probability density function of the open-circuit voltage of the harvester. Using the proposed technique, it is also possible to obtain the optimal duty cycle of the buck converter. Results of the proposed methodology were compared to numerical data generated using MATLAB’s Simscape toolbox demonstrating excellent agreement. Not only does the proposed technique provide a valuable tool to assess performance of a chaotic energy harvester, but it can also be easily applied to other chaotic and random energy sources.
KeywordsChaos Energy harvesting Battery Buck converter Charging time
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Conflict of interest
The authors declare that they have no conflict of interest.
- 1.Wu, W., Chen, Y., Lee, B., He, J., Peng, Y.: Tunable resonant frequency power harvesting devices. In: Proceedings of Smart Structures and Materials Conference, SPIE, p. 61690A. San Diego, CA (2006)Google Scholar
- 2.Challa, V., Prasad, M., Shi, Y., Fisher, F.: A vibration energy harvesting device with bidirectional resonance frequency tunability. Smart Mater. Struct. 75, 1–10 (2008)Google Scholar
- 5.Baker, J., Roundy, S., Wright, P.: Alternative geometries for increasing power density in vibration energy scavenging for wireless sensors. In: Proceedings of the Third International Energy Conversion Conference, pp. 959–970. San Francisco, CA (2005)Google Scholar
- 6.Rastegar, J., Pereira, C., Nguyen, H.L.: Piezoelectric-based power sources for harvesting energy from platforms with low frequency vibrations. In: Proceedings of Smart Structures and Materials Conference, SPIE, pp. 617101. San Diego, CA (2006)Google Scholar
- 18.Zhao, S., Erturk, A.: On the stochastic excitation of monostable and bistable electroelastic power generators: relative advantages and tradeoffs in a physical system. J. Appl. Phys. 102, 103902 (2013)Google Scholar
- 19.He, Q., Daqaq, M.F.: Load optimization of a nonlinear mono-stable duffing-type harvester operating in a white noise environment. In: Proceedings of the ASME: International Design Engineering Technical Conference and Computers and Information in Engineering Conference, IDETC/CIE 2013, p. 2013. Portland, OR (2013)Google Scholar
- 22.Burrow, S.G., Clare, L.R.: A resonant generator with non-linear compliance for energy harvesting in high vibrational environments. In: 2007 IEEE International Electric Machines Drives Conference, IEMDC ’07, vol. 1, pp. 715 –720 (2007)Google Scholar
- 34.Lund Instrument Engineering, Inc. PowerStream lithium polymer battery catalog. https://www.powerstream.com/li-pol.htm. Accessed 5 Dec 2018