Titan Advanced Energy Solutions develops ultrasound-based inspection systems that utilize high-resolution, non-destructive technology to analyze battery cell morphology and detect manufacturing anomalies. This approach enables real-time identification of defects such as delamination and separator tears, enhancing quality control and safety in lithium-ion battery production.
Funding
$43.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Lithium-ion battery manufacturing requires robust quality control to ensure safety and performance, but traditional inspection methods like OCV, DCIR, and impedance spectroscopy only assess electrical parameters, missing critical internal defects. Destructive testing provides a comprehensive view but cannot be applied to every cell, leaving manufacturers vulnerable to undetected anomalies that can lead to safety risks and reduced yields.
Solution
Titan Advanced Energy Solutions offers IonSight™, a high-resolution ultrasound-based inspection system that enables real-time, non-destructive analysis of battery cell morphology. This technology allows manufacturers to visualize the internal structure of each cell and identify manufacturing anomalies such as delamination, separator tears, dry zones, and debris. By integrating IonSight™ into existing production lines, manufacturers can perform 100% inspection, detect defects early, and optimize their processes to improve quality, increase yields, and enhance battery safety. The system effectively provides a "digital teardown" of every cell without physical destruction.
Target Audience
The primary target audience includes lithium-ion battery manufacturers in the automotive, consumer electronics, and energy storage industries, as well as research and development facilities focused on battery technology.
Features
- High-resolution ultrasound technology for non-destructive internal cell inspection
- Real-time anomaly detection, including delamination, separator tears, dry zones, and debris
- Integration with existing battery cell manufacturing lines for 100% inspection
- Algorithm-based pattern recognition to trace root causes of anomalies and suggest corrective actions
- Enables process optimization and faster ramp-up to peak yield
- Provides a "digital teardown" of each cell, eliminating the need for destructive testing