Energy conversion, high efficiency, and longer product life batteries are required to allow the strong enabling and efficient integration of battery technology into our society. Lithium-ion cells are used for the formation of battery packs due to their good characteristics provided for a long time. In manufacturing industries, battery packs are produced at a massive rate. Pouch cell capacity inside the pack has to be balanced to make the output of the battery stable and efficient. Sorting pouch cells became a critical task to build a battery pack. So, the pouch cells have to be sorted into groups based on their capacity. A methodology was proposed in this paper for sorting pouch cells using the hybrid clustering algorithm. Results were compared on various clustering algorithms. Optimal clustering was selected by analyzing the results of the machine learning model.
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