AcouBatt
Acoustic AI

Listen to your batteries.

Empowering cell developers, manufacturers, and operators with real-time, operando insights into their cell systems.

Built from leading battery research and developed alongside cell makers, research laboratories and manufacturing partners.

Faraday Institution
UCL
UK Battery Industrialisation Centre
The Science

Every Cell Has a Voice

Batteries generate acoustic activity as internal electrochemical processes drive physical changes during formation, cycling, degradation and failure. AcouBatt combines AI-powered classification with an extensive proprietary database to capture and interpret these signals, revealing changes in cell behaviour that are not always visible through conventional measurements alone.

Acoustic signature dashboard
01

Chemistry agnostic

Adaptable across a wide range of battery chemistries, cell formats and applications.

02

Operando and real-time

Continuously monitors cells under real operating conditions.

03

Highly sensitive

Captures subtle internal activity that can be difficult to identify using conventional measurements.

04

Non-invasive

Mounts externally without modifying the cell or interfering with its operation.

How it works

From Raw Data to Insights.

Listen

Capturing the Acoustic Fingerprint

AcouBatt continuously captures acoustic activity from batteries during formation, cycling and operation, creating an additional real-time data stream for every monitored cell.

  • Continuous monitoring throughout the full charge–discharge cycle.
  • Time-synchroniseable with electrochemical data.
Live acoustic signal
AE RMS
0.41 mV
Event rate
38 /s
Energy
7.2 aJ
Analyse

Understanding the signals

Our proprietary AI, trained on one of the world’s largest databases of battery acoustic data, distinguishes meaningful battery activity from acoustic noise and classifies signals against known waveform patterns. This helps reveal electrochemical and mechanical processes within the cell as they happen.

  • Continuously improving as new test data is added.
  • Delivers consistent signal classification for deeper insight into cell behaviour.
Signature classification · C-1184
Defect
Peak freq
350 kHz
AE RMS
1.92 mV
Rise time
4 µs
Energy
41 aJ
Gassing
22%
Cracking
68%
Other
10%
Insights

Turning Data into Decisions

Whether you are optimising formation, developing new battery materials or monitoring high-value batteries for quality and safety, AcouBatt helps identify cell-level defects, anomalies and early warning signs of safety-critical events. AcouBatt provides real-time insight to support faster, better-informed decisions and more effective process optimisation.

  • Complements existing diagnostic tools, manufacturing systems and BMS.
  • Applicable from laboratory R&D through to production and operation.
Cell stream
CellLineAE RMSStatus
C-1182Line A0.38 mVPass
C-1184Line A1.92 mVDefect
C-1185Line B0.94 mVWatch
C-1186Line B0.35 mVPass

Time to Know Your Cells Better.

Tell us about your cells and we'll show you what AcouBatt hears.