Supporting the scale up journey
EchoStat analytics across cell manufacturing
Cell Uniformity Analytics
Cell uniformity in battery manufacturing is crucial for consistent performance, reliability, and safety. Monitoring cell uniformity is a robust and reliable way to flag outliers, reduce risks, and ensure the dependability of the final product.
Electrolyte Saturation Analysis
Proper electrolyte saturation is critical for a safe and high performing battery cell, directly affecting the battery’s efficiency, capacity, and lifespan. Monitoring saturation quality is a blindspot in cell manufacturing, which is addressed using ultrasound inspection.
Capacity Fade Prediction
Cycling cells is destructive and energy intensive, and it can take months. Instead of randomly sampling a fraction of a percent of cells for cycling and hoping that they are representative of the entire batch, EchoStat’s cell performance prediction provides performance information for every cell in seconds, enabling more strategic cycle testing.
Anomaly Detection
Quality escapes pose a great risk of in-field failures and poor performers in the best case, to costly batch returns and billion-dollar recalls. It is critical to have a robust in-line inspection system that can serve as a “safety net” and flag anomalous cells for deeper classification and RCA, to avoid problematic cells leaving the factory.
Cell and Process Development
From tracking the time until complete electrolyte saturation to material and process parameter selection, EchoStat delivers the rapid and actionable information you need.
Quality Process Design
Optimize QC standards and checks, define quality specs
Cell and Process DOE
Identify optimal soak time, process parameters, and materials
Baseline Cell Characterization
Set clear quality benchmarks for acceptability of cells
Validate Cell Performance
Iterate quickly using real-time feedback on cell performance
Production Ramp Up
Pairing ultrasound scans with machine learning, EchoStat inspects cells, predicts cell performance, and identifies anomalies in real time, reducing production time and scrap costs.
Root Cause Analysis
Identify and remove defects early, tracing them back to their source
Validate Cell Performance
Strategically select cells for CT scans, rather than random sampling
Supplier Qualification
Define and uphold quality standards across suppliers
Process Optimization
Quickly identify, implement, and validate improvements
High-Volume Manufacturing
Uncover production issues and defects without reducing throughput, while still generating enough data to power batch analysis and comparison.
Failure Analysis
In-depth scans of flagged or failed cells, root cause investigation
Batch Quality Checks
Proactively identify batch quality drift and variation
End of Line Inspection
Scan 100% of cells to ensure quality while alleviating the CT bottleneck
Process Monitoring
Identify drift and flag issues as soon as they occur
Factory Expansion
Establish and maintain QC standards even while implementing existing processes in new contexts. Actionable intelligence ensures each line is monitored, to avoid costly dips in quality or potential recalls, while leveraging best practices from high performing lines.
Escape Prevention
Keep quality high and avoid recalls
Multi-Factory QMS
Unite data streams for comparative analysis
Production Consistency
Implement and enforce multi-factory standards
Cross-Factory Learnings
Proactive variance tracking across production lines