Use case AutomotiveBattery testing
Battery & e-drive testing
BOOK A DEMO 75% less rig time per validation cycle
90% faster fault investigation
100% cell traceability
Battery testing is a continuous data problem
- EV and hybrid programmes run continuous electrochemical and thermal characterisation across cell, module, and pack levels
- Test rigs run 24/7; a single pack test can span weeks
- Results feed directly into battery management system (BMS) calibration and lifetime models
Problems surface after the damage
- Long-duration tests accumulate data in local rig storage; engineers poll for results rather than monitoring live
- Anomaly detection relies on manual monitoring; subtle degradation patterns are only visible in post-processing, after damage is done
- Linking a cell anomaly back to the batch ID, formation protocol, and thermal history requires cross-referencing multiple systems
Quix catches anomalies in real-time
- Quix captures rig data in real time and runs anomaly detection models inline; engineers are alerted to deviations during the test
- Every reading is linked at capture to the cell batch, protocol version, and thermal profile active at that moment
- Historical data is fully queryable; a new BMS calibration hypothesis can be validated against all previous tests without new rig time
Less rig time, more answers
- Rig faults and early degradation are caught live, reducing test failures and wasted rig time
- BMS model validation cycles collapse because historical data is immediately usable as model input
- Cell genealogy is auditable; warranty and safety investigations have a reliable chain of evidence