Challenges facing lithium-ion battery manufacturers
In the global effort to meet the evolving needs of electrochemical energy storage solutions, lithium-ion batteries continue to stand out as the most advanced technology in the battery ecosystem.
At the same time, demand for batteries of the next generation is growing consistently, with an emphasis on safety, affordability, and higher energy density. In order to achieve this, battery manufacturers face challenges at many stages of battery development.
We have got you covered!
Mitsubishi Electric knows first-hand everything about coating, calendering, trimming, winding and stacking issues, as well as quality detection. We know how these elements can be combined with data collection instruments and communication protocols in building the digital twin of the battery manufacturing chain.
As a company, we have been successfully supporting lithium-ion battery manufacturers to improve their production processes in terms of quality and efficiency (natural resources and energy consumption, cost, operations etc.). We know that the key to successfully addressing these challenges lies in the digitalisation of production.
Our complete solution and application support contribute to improved quality and increased productivity for many kinds of manufacturing equipment.
What is the key to successful digitalisation?
Digitalisation requires scalability, performance, and skills to create value. This process relies on the effective use of data at multiple levels.
Transformative gains in lithium-ion battery manufacturing through digitalisation
More information on Lithium-ion battery production
White paper - Lithium-Ion Battery
Lithium-ion battery manufacture is a demanding application environment, with pressure to increase yield and reduce waste while at the same time driving up the speed of production. And with rapid market growth on a global scale, manufacturers need to explore new avenues to gain a competitive advantage.
Data holds the key, but while data availability is huge, traditional monitoring of machine overview data is no longer sufficient to drive the productivity gains that are required. This paper examines how we can dig deeper for genuine insights in the operation.
Please register below to download the Whitepaper!
Download White paper here
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