Exploring Different Binders for a LiFePO 4 Battery, Battery Testing, Modeling and Simulations

Joseph Paul Baboo, Mudasir A. Yatoo, Matthew Dent, Elaheh Hojaji Najafabadi, Constantina Lekakou, Robert Slade, Steven J. Hinder and John F. Watts
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Joseph Paul Baboo: Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU2 7XH, UK
Mudasir A. Yatoo: Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU2 7XH, UK
Matthew Dent: Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU2 7XH, UK
Elaheh Hojaji Najafabadi: Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU2 7XH, UK
Constantina Lekakou: Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU2 7XH, UK
Robert Slade: Department of Chemistry, University of Surrey, Guildford GU2 7XH, UK
Steven J. Hinder: Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU2 7XH, UK
John F. Watts: Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU2 7XH, UK

Energies, 2022, vol. 15, issue 7, 1-22

Abstract: This paper focuses on the LiFePO 4 (LFP) battery, a classical and one of the safest Li-ion battery technologies. To facilitate and make the cathode manufacture more sustainable, two Kynar ® binders (Arkema, France) are investigated which are soluble in solvents with lower boiling points than the usual solvent for the classical PVDF binder. Li-LFP and graphite-Li half cells and graphite-LFP full cells are fabricated and tested in electrochemical impedance spectroscopy, cyclic voltammetry (CV) and galvanostatic charge-discharge cycling. The diffusion coefficients are determined from the CV plots, employing the Rendles-Shevchik equation, for the LFP electrodes with the three investigated binders and the graphite anode, and used as input data in simulations based on the single-particle model. Microstructural and surface composition characterization is performed on the LFP cathodes, pre-cycling and after 25 cycles, revealing the aging effects of SEI formation, loss of active lithium, surface cracking and fragmentation. In simulations of battery cycling, the single particle model is compared with an equivalent circuit model, concluding that the latter is more accurate to predict “future” cycles and the lifetime of the LFP battery by easily adjusting some of the model parameters as a function of the number of cycles on the basis of historical data of cell cycling.

Keywords: LFP battery; degradation; binders; diffusion coefficients; single particle model; equivalent circuit model; simulations (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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