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The Effect of Active Material, Conductive Additives, and Binder in a Cathode Composite Electrode on Battery Performance

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  • Yoon Koo Lee

    (Battery R&D, LG Chem, Ltd., 36, Janggunmaeul 3-gil, Gwacheon 13818, Korea)

Abstract

The current study investigated the effects of active material, conductive additives, and binder in a composite electrode on battery performance. In addition, the parameters related to cell performance as well as side reactions were integrated in an electrochemical model. In order to predict the cell performance, key parameters including manganese dissolution, electronic conductivity, and resistance were first measured through experiments. Experimental results determined that a higher ratio of polymer binder to conductive additives increased the interfacial resistance, and a higher ratio of conductive additives to polymer binder in the electrode resulted in an increase in dissolved transition metal ions from the LiMn 2 O 4 composite electrode. By performing a degradation simulation with these parameters, battery capacity was predicted with various fractions of constituents in the composite electrode. The present study shows that by using this integrated prediction method, the optimal ratio of constituents for a particular cathode composite electrode can be specified that will maximize battery performance.

Suggested Citation

  • Yoon Koo Lee, 2019. "The Effect of Active Material, Conductive Additives, and Binder in a Cathode Composite Electrode on Battery Performance," Energies, MDPI, vol. 12(4), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:658-:d:206957
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    References listed on IDEAS

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    1. Simone Barcellona & Luigi Piegari, 2017. "Lithium Ion Battery Models and Parameter Identification Techniques," Energies, MDPI, vol. 10(12), pages 1-24, December.
    2. 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.
    3. Elham Hosseinzadeh & James Marco & Paul Jennings, 2017. "Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance," Energies, MDPI, vol. 10(9), pages 1-22, August.
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    Cited by:

    1. Silje Nornes Bryntesen & Anders Hammer Strømman & Ignat Tolstorebrov & Paul R. Shearing & Jacob J. Lamb & Odne Stokke Burheim, 2021. "Opportunities for the State-of-the-Art Production of LIB Electrodes—A Review," Energies, MDPI, vol. 14(5), pages 1-41, March.
    2. Sunggoo Yoo & Chonggi Hong & Kil To Chong & Namo Seul, 2019. "Analysis of Pouch Performance to Ensure Impact Safety of Lithium-Ion Battery," Energies, MDPI, vol. 12(15), pages 1-10, July.
    3. Román-Ramírez, L.A. & Marco, J., 2022. "Design of experiments applied to lithium-ion batteries: A literature review," Applied Energy, Elsevier, vol. 320(C).

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