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.
years’ experience in supporting lithium-ion battery module/pack manufacturing
customers all over the world
Our complete solution and application support contribute to improved quality and increased productivity for many kinds of manufacturing equipment.
Increase in synchronised drive shafts
Speeding up stacking operation and improving separator tension fluctuation
Correction of position errors between separators and electrodes
Easy sharing of data between devices
Supporting various process configurations while standardizing equipment
Sending large volumes of test data to upper-level systems in real time
Easy sharing of data between devices
Standardize equipment while accommodating various process configurations
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
Increased productivity
The use of digital technologies allows monitoring and optimisation of production processes, which contributes to increased battery production efficiency.
More accurate quality control
Digital control and analysis of data collected from production processes enables detection of defects and quality deviations at earlier stages, leading to improved quality of final products.
Reduced production time
By controlling processes more closely and optimising production layouts, battery production times can be reduced.
Optimising energy consumption
Data analysis can identify areas where energy can be saved.
Predictive maintenance
The data collected enables prediction of the moments when machines or equipment are likely to fail, enabling maintenance planning and minimising downtime.
Innovation in design
Digital design tools allow for more efficient and advanced battery designs, which can improve battery performance and durability.
Close process monitoring
The sensitivity of the lithium-ion battery manufacturing process requires continuous and accurate monitoring in a real-time system, which digitalisation provides.
Integration of research processes
Digitalisation makes it easier to track research and development processes, which enables more efficient implementation of new technologies and materials.
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.
Mitsubishi Electric’s Data Science Tool MELSOFT MaiLab is a data science tool that further improves manufacturing by replacing “human experience and intuition” with digital technology and enabling it to be easily incorporated into control systems.
MELSOFT VIXIO software utilizes high-speed, high-accuracy AI to enable quick detection of defective products. The intuitive software allows making AI models for your products, without the need of specialized knowledge in AI or programming.
Pre-verification is performed in the digital space of a virtual factory or equipment line. This significantly reduces cost and time during the design phase.
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