The value of big data in battery companies

Will the scale of battery manufacturing data continue to grow?

With the continuous expansion of lithium-ion battery manufacturing capacity, we believe that the scale of battery manufacturing data will continue to grow. Increasingly, more process optimization methods based on battery manufacturing data will be developed and applied to battery production chains. Tianxin Chen: Writing – original draft.

Will AI and big data revolutionize battery health management?

As these innovations continue to reshape other domains, it is inevitable that the battery research community will increasingly embrace AI and big data to revolutionize the state-of-the-art battery health management, signaling a promising future trend in this area.

What are the manufacturing data of lithium-ion batteries?

The manufacturing data of lithium-ion batteries comprises the process parameters for each manufacturing step, the detection data collected at various stages of production, and the performance parameters of the battery [25, 26].

Are lithium-ion batteries able to produce data?

The current research on manufacturing data for lithium-ion batteries is still limited, and there is an urgent need for production chains to utilize data to address existing pain points and issues.

Why is big data important in manufacturing?

The application of big data algorithms not only brings new vitality and possibilities to manufacturing data but also provides new solutions to the core issues of the manufacturing process [, , ].

What is battery manufacturing?

Battery manufacturing generates data of multiple types and dimensions from front-end electrode manufacturing to mid-section cell assembly, and finally to back-end cell finishing. Most of these data is utilized for performance prediction, process optimization, and defect detection [33, , , ].