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Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy

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  • Galeotti, Matteo
  • Cinà, Lucio
  • Giammanco, Corrado
  • Cordiner, Stefano
  • Di Carlo, Aldo

Abstract

Electrochemical energy storage has become important in the last years to improve the energetic efficiency of stationary and hybrid energy production systems. Lithium batteries represent the best choice, since they have high energy and power density, high number of cycles and a good temperature behaviour compared to other technologies. It becomes important the monitoring of the state of the battery to know online the energy content, to avoid dangerous operating conditions and to extend the useful life. In this work, we have defined a test procedure to study the ageing of LiPO (lithium polymer) batteries through the EIS (electrochemical impedance spectroscopy) technique. Through a fitting procedure performed on the acquired IS (impedance spectra), we have extracted the parameters of an equivalent circuit model to reproduce the voltage discharge curves of the batteries and to study the performance under load. Then we have introduced a relation between the ohmic resistance of the battery and the available capacity to evaluate the SOH (state of health) through the ToE (Theory of Evidence). The method is able to detect the SOH of the tested batteries with a maximum error of 3.73%, with an enhancement to 8.66% when an anomalous cell is considered.

Suggested Citation

  • Galeotti, Matteo & Cinà, Lucio & Giammanco, Corrado & Cordiner, Stefano & Di Carlo, Aldo, 2015. "Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy," Energy, Elsevier, vol. 89(C), pages 678-686.
    • Handle: RePEc:eee:energy:v:89:y:2015:i:c:p:678-686
    DOI: 10.1016/j.energy.2015.05.148
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    References listed on IDEAS

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    1. Sun, Fengchun & Hu, Xiaosong & Zou, Yuan & Li, Siguang, 2011. "Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles," Energy, Elsevier, vol. 36(5), pages 3531-3540.
    2. Sanseverino, Eleonora Riva & Di Silvestre, Maria Luisa & Ippolito, Mariano Giuseppe & De Paola, Alessandra & Lo Re, Giuseppe, 2011. "An execution, monitoring and replanning approach for optimal energy management in microgrids," Energy, Elsevier, vol. 36(5), pages 3429-3436.
    3. Hu, Xiaosong & Li, Shengbo Eben & Jia, Zhenzhong & Egardt, Bo, 2014. "Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles," Energy, Elsevier, vol. 64(C), pages 953-960.
    4. Dali, Mehdi & Belhadj, Jamel & Roboam, Xavier, 2010. "Hybrid solar–wind system with battery storage operating in grid-connected and standalone mode: Control and energy management – Experimental investigation," Energy, Elsevier, vol. 35(6), pages 2587-2595.
    5. Waag, Wladislaw & Käbitz, Stefan & Sauer, Dirk Uwe, 2013. "Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application," Applied Energy, Elsevier, vol. 102(C), pages 885-897.
    6. Eddahech, Akram & Briat, Olivier & Vinassa, Jean-Michel, 2015. "Performance comparison of four lithium–ion battery technologies under calendar aging," Energy, Elsevier, vol. 84(C), pages 542-550.
    7. Krieger, Elena M. & Cannarella, John & Arnold, Craig B., 2013. "A comparison of lead-acid and lithium-based battery behavior and capacity fade in off-grid renewable charging applications," Energy, Elsevier, vol. 60(C), pages 492-500.
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