Reducing R&D battery testing times by 98% using AI

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 sulphur 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.

"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," said Mirčo Krsteski, Key Account Manager of camLine.

“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,” said Martin Schaupp, CTO of theion.

A comprehensive MES solution for scaling production

The partnership also aims to scale lithium-sulphur 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.