Could AI-powered defect detection boost battery manufacturing?
Liminal’s EchoStat technology sends non-destructive ultrasound pulses into battery cells, collecting information about their physical properties. It essentially creates an image of a cell, including any potential anomalies created by production errors. The hardware itself is modular and, according to Liminal, is easily integrated into factory lines.
Then comes the artificial intelligence layer. ML models analyze the information collected via ultrasound to predict cell life performance and quality, and detect specific defects and product failures. The result is a greatly shortened quality testing timeline that, according to Hsieh, takes feedback time from weeks down to mere minutes.
🔋🚙 Liminal Raises $17.5 Million in Series A2 Funding to Catalyze Production of Safe, Reliable, High-Quality EV Batteries
Liminal, a battery manufacturing intelligence company, today announced a $17.5 million Series A2 funding round, led by climate tech fund ArcTern Ventures, joined by new investors Northvolt and Ecosystem Integrity Fund, and with continued support from Chrysalix Venture Capital, Good Growth Capital, University of Tokyo Edge Capital Partners, Volta Energy Technologies, Impact Science Ventures, and Helios Climate Ventures. Liminal will use this funding to scale its EchoStat® inspection systems into factory-integrated solutions for global battery manufacturers, tapping into the rapidly growing demand for safe, reliable, and more affordable EV batteries.