camLine and theion Reduce R&D Battery Testing Times by 98% Using AI
camLine, an Elisa IndustrlQ company and a leading provider of Manufacturing Execution System (MES), along with theion, a pioneering sulfur crystal battery company, are proud to announce their collaboration to implement AI-driven solutions that will accelerate the development of advanced battery technologies worldwide, revolutionizing the way battery manufacturers transition from lab-scale to mass production.
Accelerate time to market with AI in battery manufacturing
The collaboration brings together camLine’s cutting-edge AI tools, which are the Battery Lifetime Predictor and Root Cause Analyzer, with theion’s innovative approach to sulfur crystal battery technology.
In a recent implementation, camLine’s Battery Lifetime Predictor has reduced theion’s R&D testing times from 42 days to just 15 hours, while maintaining a prediction accuracy of 99.8%. Additionally, AI-Driven Root Cause Analyzer has proven to facilitate early anomaly detection in the production process, enabling faster corrective actions and reducing downtime. This breakthrough allows theion to greatly accelerate its development cycles.
Mirčo Krsteski, Key Account Manager of camLine, said :
As a key player in the battery industry, I am proud that our AI-driven solutions have effectively met the needs of theion, reducing their testing times by an impressive 98%.
“This significant improvement enhances their overall production efficiency in battery manufacturing, allowing them to stay competitive as a leader in the industry,”
Martin Schaupp, CTO of theion, said:
After comparing different AI tool solutions for our development process, we identified camLine as a powerful partner that will save us a lot of time while maintaining high quality,
A comprehensive MES solution for scaling production
The partnership also aims to scale lithium sulfur battery technology from lab-scale R&D to full-scale manufacturing. camLine’s AI-powered MES suite provides theion with real-time data collection with an efficient track and trace, predictive analytics, and automated decision-making capabilities, ensuring a seamless transition to mass production.
READ the latest Batteries News shaping the battery market
camLine and theion Reduce R&D Battery Testing Times by 98% Using AI, source
