AcouBatt provides acoustic-emission sensing and AI analytics that let battery manufacturers and researchers monitor internal cell activity in real time during formation, testing, and operation. The passive sensors mount externally on cells and synchronize with existing electrochemical data to reveal events that voltage and temperature measurements miss. The system helps shorten formation cycles, reduce scrap, and detect abnormal cells earlier than conventional monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
Battery formation and testing remain largely a black box, with manufacturers unable to observe internal cell activity in real time. Conventional monitoring relies on voltage, current, and temperature, which often only change after physical or chemical events inside the cell have already begun. This limits process optimization, delays anomaly detection, and contributes to scrap and safety risks.
Solution
AcouBatt provides a passive acoustic-emission sensing system that listens to cells during formation, ageing, and operation, capturing internal physical and chemical activity in real time. The system consists of external sensors, data-acquisition hardware, and AI-powered analysis software that classifies acoustic signals and synchronizes them with existing electrochemical data. This gives manufacturers and researchers a second, richer record of each cell, revealing variation and events that conventional measurements smooth over. The system is retrofitted onto existing equipment, with bespoke sensor fixtures tailored to each cell format and process, and can be deployed on-premise for full data control.
Target Audience
Primary customers are battery cell manufacturers, formation and quality teams, and R&D researchers working on lithium-ion, sodium-ion, silicon-anode, and solid-state cells across cylindrical, pouch, and prismatic formats. The system also serves BESS operators, integrators, and developers seeking earlier failure detection and health monitoring.
Features
- Passive acoustic-emission sensors that mount externally on cells without modifying or interfering with cell operation
- AI-based real-time classification of acoustic signals into distinct classes for counting and comparison across cells and conditions
- Synchronized acoustic and electrochemical data records for correlating internal events with voltage, current, temperature, and pressure
- On-premise data processing and storage options for full control, with secure cloud-based alternatives available
- Bespoke sensor fixtures designed for specific cell formats, equipment, and safety requirements
- Continuous sensor health monitoring and redundant configurations for reliable operation in noisy environments