Due to their complex chemical and mechanical composition, battery cells can never be manufactured to a constant quality. At the same time, battery-powered products usually have very precise demands on the performance and service life of each individual cell used. Varying cell qualities not only affect the performance, but also the safety of your products.
With our solutions, you have maximum transparency of the inner workings of every battery cell you produce or purchase, ensuring that your cells deliver what they promise.
Intuitive, fast, efficient
The ExaMight system uses our innovative online electrochemical impedance spectrum (oEIS) process for high-precision and ultra-fast cell evaluation and handles all aspects of battery quality assurance for you. This way, any company that manufactures batteries or integrates them into products can benefit. From incoming inspection or end-of-line testing of cells to the interconnection to modules, reporting and documentation - we solve all your specific requirements by automated workflows with intuitive usability.
Your operating process, your battery quality: Our modular design allows seamless integration into any working environment and adaptation to varying throughput rates. The system is applicable to all current cell designs and lithium-ion battery chemistries, even future battery chemistries can be measured. Whether used as a stand-alone, compact benchtop setup or integrated into a fully automated system, ExaMight meets your application-specific requirements and always has the individual battery benefit in mind.
Battery Screening breaking new ground
What is the Online EIS?
How others measure
The electrochemical impedance spectrum (EIS) can be seen as the fingerprint of the battery and contains highly relevant information for predicting future capacity, life time and performance in your application. However, classical EIS measurement systems are too slow to be used for large-scale screening of battery cells in a production environment.
The Safion method
Safion's online EIS method (oEIS) uses superimposed excitation to measure up to 32 impedance points simultaneously. This reduces the measurement time from minutes to seconds, enabling a very high throughput and optimizing the method for quality assurance. Using intelligent algorithms and machine learning for feature extraction and weighting, our software evaluates each battery fully automatically and matches it with the user's individual requirements.