Modeling the Effect of Cell Variation on the Performance of a Lithium-Ion Battery Module

Dongcheul Lee, Seohee Kang and Chee Burm Shin
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Dongcheul Lee: Department of Chemical Engineering and Division of Energy Systems Research, Ajou University, Suwon 16499, Korea
Seohee Kang: Department of Chemical Engineering and Division of Energy Systems Research, Ajou University, Suwon 16499, Korea
Chee Burm Shin: Department of Chemical Engineering and Division of Energy Systems Research, Ajou University, Suwon 16499, Korea

Energies, 2022, vol. 15, issue 21, 1-15

Abstract: Owing to the variation between lithium-ion battery (LIB) cells, early discharge termination and overdischarge can occur when cells are coupled in series or parallel, thereby triggering a decrease in LIB module performance and safety. This study provides a modeling approach that considers the effect of cell variation on the performance of LIB modules in energy storage applications for improving the reliability of the power quality of energy storage devices and efficiency of the energy system. Ohm’s law and the law of conservation of charge were employed as the governing equations to estimate the discharge behavior of a single strand composing of two LIB cells connected in parallel based on the polarization properties of the electrode. Using the modeling parameters of a single strand, the particle swarm optimization algorithm was adopted to predict the discharge capacity and internal resistance distribution of 14 strands connected in series. Based on the model of the LIB strand to predict the discharge behavior, the effect of cell variation on the deviation of the discharge termination voltage and depth of discharge imbalance was modeled. The validity of the model was confirmed by comparing the experimental data with the modeling results.

Keywords: lithium-ion battery; modeling; voltage deviation; electrical behaviors; cell performance deviation (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
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