EchoStat is Liminal’s ultrasound and machine learning-based EV battery inspection platform. Battery manufacturers and auto OEMs rely on EchoStat for data-driven improvements to cell safety, quality, and production costs.
EchoStat can inspect all common types of EV battery cells, regardless of size or chemistry. Liminal has systems for pouch, prismatic and cylindrical form factors.
Ultrasound pulses are sent into one side of the cell, and the response signals are recorded on the opposite side. This resulting signal is analyzed to extract acoustic metrics and produce actionable predictions and scores. This core functionality is shared across all three EchoStat systems.
ARRAY is a high speed system for primary in-line inspection of prismatic and pouch cells of varying dimensions. Ultrasound transducers are arranged in a fixed array, the dimensions of which can be customized to suit the cell form factor.
ARRAY is designed for applications where speed is essential and cell coverage requirement is low. Examples include anomaly detection, saturation analysis after electrolyte soaking, post-formation cycle life prediction, end-of-line QC for cell manufacturers, and inbound QC for battery pack manufacturers.
RASTER is optimized for feature detection and classification applications that require high coverage such as separator defect detection and particle detection. It is designed for at-line secondary inspection to diagnose anomalous cells flagged by the in-line ARRAY system.
Our THETA system is designed for cylindrical cells. Measurements are taken around the circumference and along the height of the cell. Speed and cell coverage varies based on the the angle (θ) and distance between measurements along the vertical axis (Z).
This system can be used at-line for applications such as wetting analysis, defect detection, and end-of-line QC.