It is one of the hot research topics to use the systematic simulation model of lithium-ion battery manufacturing process to guide industrial practice, reduce the cost of the current experiment exhaustive trial and error, and then optimize the electrode structure and process design of batteries in different systems.
The provided model framework and optimization routine is easily adaptable for other battery types and manufacturing lines. The lithium-ion battery (LIB) is one of the most well-established energy storage technologies and has become a common part of everyday life. [ 1]
Production steps in lithium-ion battery cell manufacturing summarizing electrode manufacturing, cell assembly and cell finishing (formation) based on prismatic cell format. Electrode manufacturing starts with the reception of the materials in a dry room (environment with controlled humidity, temperature, and pressure).
In summary, the quality of the production of a lithium-ion battery cell is ensured by monitoring numerous parameters along the process chain. In series production, the approach is to measure only as many parameters as necessary to ensure the required product quality. The systematic application of quality management methods enables this approach.
X-CT can be used to nondestructively characterize the microstructure of lithium-ion battery electrodes. X-CT transmits the X-ray to the specified position of the electrode sample, so as to achieve the purpose of nondestructive testing of the surface and internal structure of the sample.
Computer simulation technology has been popularized and leaping forward. Under this context, it has become a novel research direction to use computer simulation technology to optimize the manufacturing process of lithium-ion battery electrode.
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Lithium-Ion Battery Manufacturing: Industrial View on Processing ...
In this review paper, we have provided an in-depth understanding of lithium-ion battery manufacturing in a chemistry-neutral approach starting with a brief overview of existing …
Learn More
Carbon-slurry optimization for lithium-ion batteries customization
In this paper we described carbon-slurry optimization process for anodes of lithium-ion batteries customization by using a surface response statistical experiment with four response variables such specific discharge capacity, coulombic efficiency, anodes mass deviation, and capacity retention.
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