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Batteries 2019, 5(1), 9; https://doi.org/10.3390/batteries5010009

Real-Time Performance Optimization and Diagnostics during Long-Term Operation of a Solid Anolyte Microbial Fuel Cell Biobattery

1
Bioresource Engineering Department, McGill University, 21111 Lakeshore Rd., Ste-Anne-de-Bellevue, QC H9X 3V9, Canada
2
National Research Council of Canada, 6100 Royalmount Ave, Montreal, QC H4P 2R2, Canada
*
Author to whom correspondence should be addressed.
Received: 15 August 2018 / Revised: 12 December 2018 / Accepted: 25 December 2018 / Published: 15 January 2019
(This article belongs to the Special Issue Bio-Batteries)
Full-Text   |   PDF [1872 KB, uploaded 15 January 2019]   |  

Abstract

This study describes a novel approach for real-time energy harvesting and performance diagnostics of a solid anolyte microbial fuel cell (SA-MFC) representing a prototype smart biobattery. The biobattery power output was maximized in real time by combining intermittent power generation with a Perturbation-and-Observation algorithm for maximum power point tracking. The proposed approach was validated by operating the biobattery under a broad range of environmental conditions affecting power production, such as temperature (4–25 °C), NaCl concentration (up to 2 g L−1), and carbon source concentration. Real-time biobattery performance diagnostics was achieved by estimating key internal parameters (resistance, capacitance, open circuit voltage) using an equivalent electrical circuit model. The real time optimization approach ensured maximum power production during 388 days of biobattery operation under varying environmental conditions, thus confirming the feasibility of biobattery application for powering small electronic devices in field applications. View Full-Text
Keywords: MFC; solid anolyte; long-term; optimization; diagnostics; real time; biobattery MFC; solid anolyte; long-term; optimization; diagnostics; real time; biobattery
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Adekunle, A.; Raghavan, V.; Tartakovsky, B. Real-Time Performance Optimization and Diagnostics during Long-Term Operation of a Solid Anolyte Microbial Fuel Cell Biobattery. Batteries 2019, 5, 9.

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