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Aging Characteristics of Stationary Lithium-Ion Battery Systems with Serial and Parallel Cell Configurations

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  • Mehmet C. Yagci

    (Institute of Sustainable Energy Systems (INES), Offenburg University of Applied Sciences, Badstrasse 24, 77652 Offenburg, Germany)

  • Thomas Feldmann

    (Institute of Sustainable Energy Systems (INES), Offenburg University of Applied Sciences, Badstrasse 24, 77652 Offenburg, Germany)

  • Elmar Bollin

    (Institute of Sustainable Energy Systems (INES), Offenburg University of Applied Sciences, Badstrasse 24, 77652 Offenburg, Germany)

  • Michael Schmidt

    (Institute of Sustainable Energy Systems (INES), Offenburg University of Applied Sciences, Badstrasse 24, 77652 Offenburg, Germany)

  • Wolfgang G. Bessler

    (Institute of Sustainable Energy Systems (INES), Offenburg University of Applied Sciences, Badstrasse 24, 77652 Offenburg, Germany)

Abstract

The significant market growth of stationary electrical energy storage systems both for private and commercial applications has raised the question of battery lifetime under practical operation conditions. Here, we present a study of two 8 kWh lithium-ion battery (LIB) systems, each equipped with 14 lithium iron phosphate/graphite (LFP) single cells in different cell configurations. One system was based on a standard configuration with cells connected in series, including a cell-balancing system and a 48 V inverter. The other system featured a novel configuration of two stacks with a parallel connection of seven cells each, no cell-balancing system, and a 4 V inverter. The two systems were operated as part of a microgrid both in continuous cycling mode between 30% and 100% state of charge, and in solar-storage mode with day–night cycling. The aging characteristics in terms of capacity loss and internal resistance change in the cells were determined by disassembling the systems for regular checkups and characterizing the individual cells under well-defined laboratory conditions. As a main result, the two systems showed cell-averaged capacity losses of 18.6% and 21.4% for the serial and parallel configurations, respectively, after 2.5 years of operation with 810 (serial operation) and 881 (parallel operation) cumulated equivalent full cycles. This is significantly higher than the aging of a reference single cell cycled under laboratory conditions at 20 °C, which showed a capacity loss of only 10% after 1000 continuous full cycles.

Suggested Citation

  • Mehmet C. Yagci & Thomas Feldmann & Elmar Bollin & Michael Schmidt & Wolfgang G. Bessler, 2022. "Aging Characteristics of Stationary Lithium-Ion Battery Systems with Serial and Parallel Cell Configurations," Energies, MDPI, vol. 15(11), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:3922-:d:824361
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    References listed on IDEAS

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    1. Mingant, R. & Bernard, J. & Sauvant-Moynot, V., 2016. "Novel state-of-health diagnostic method for Li-ion battery in service," Applied Energy, Elsevier, vol. 183(C), pages 390-398.
    2. Reinhard Haas & Claudia Kemfert & Hans Auer & Amela Ajanovic & Marlene Sayer & Albert Hiesl, 2022. "On the economics of storage for electricity: Current state and future market design prospects," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(3), May.
    3. Kebede, Abraham Alem & Kalogiannis, Theodoros & Van Mierlo, Joeri & Berecibar, Maitane, 2022. "A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    4. Berecibar, Maitane & Garmendia, Maitane & Gandiaga, Iñigo & Crego, Jon & Villarreal, Igor, 2016. "State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application," Energy, Elsevier, vol. 103(C), pages 784-796.
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