BMW announced on Monday it is partnering with the University of Zagreb’s CRTA research center to employ artificial intelligence in accelerating battery cell development and production.
The project, named “Insight,” aims to cut testing cycles by up to 50 percent by analyzing existing and real-time production data to predict cell performance more accurately.
BMW says the approach could maintain or improve quality while reducing material use, development time, and costs associated with new high-voltage battery cells.
A key target is eliminating the post-production “quarantine” period, during which finished cells are stored under specific thermal conditions before being installed in battery packs.
This quarantine phase currently consumes significant warehouse space and time, but AI-driven analysis could render it unnecessary by fully assessing cell readiness earlier.
The Insight project, active since 2024, also examines AI applications across electrode production, quality control, and recycling methods within the battery value chain.
BMW’s Battery Cell Competence Center in Munich continues to develop next-generation high-voltage batteries, where development remains resource-intensive and slow.
By shortening validation steps, the automaker hopes to speed up innovation cycles without compromising reliability or safety standards.
How does AI reduce the require for battery cell quarantine?
AI models analyze test and production data to predict cell performance and quality, allowing full assessment earlier in the process and removing the need for post-production storage under thermal conditions.
What other areas of battery production is the Insight project exploring?
The project examines AI use in electrode manufacturing, quality control, and recycling methods across the entire battery cell value chain.
