The production of battery cells is a complex process that relies on extreme care and precision so that the batteries meet the necessary safety, performance, and durability standards. For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.
The McKinsey consulting firm expects that the entire process chain of lithium-ion battery production, from extracting the materials to recycling, will reach a value of more than 400 billion dollars by 2030. Cell production accounts for around 30 percent of the value created. This process is divided into three steps: electrode production, cell assembly, and formation and aging. All three steps in the process require maximum precision, which also means a high potential for error that can be reduced by means of machine vision.