Understading a batteries true nature is a complex and time consuming occupation due to to limitations in the methods and technology available to relate more specifically to a battery’s electrochemical constitution.
At Batixt we have found a way to overcome these limitations and allow you to gain deeper battery insights faster so you can increase efficiency, productivity and quality in your battery endeavours.
“At CSEM (Battery Innovation Hub, Switzerland), we have spent five months using and validating Batixt R3 EIS technology and can confirm that Batixt instrument demonstrates reliability, repeatability, and accuracy, on par with market leading EIS instrument suppliers … Altogether , this is an improvement over state-of-the art instruments that are only capable of EIS sweeps, especially when transient phenomena should be characterized.”
Batixt is working on projects that will redefine what we know about batteries together with researchers (Linköping and Uppsala Unviersities in Sweden and SKKU in Korea, cell manufacturing (Altris) and battery system manufacturers (Husqvarna and Toyota Material Handling) to find solutions to their problems.
One project is developing new and improved practical diagnostic and decision support tools for batteries.
A second project is developing a faster and more data-rich method for impedance analysis and advanced electrochemical interpretation.
Adressing limitations that are holding an entire battery discipline and industry back
Researchers and industry teams often depend on long cycling tests, rest periods, and repeated measurements to understand battery behaviour. This slows material development, cell optimisation, production ramp-up, and quality control.
Voltage, current, capacity, temperature, and resistance are useful, but they do not explain enough about what is happening inside the battery. This limits understanding of performance, degradation, quality variation, and failure mechanisms.
Advanced techniques such as EIS can reveal much richer battery behaviour, but conventional approaches are often slow, fragmented, or poorly suited to dynamic testing and industrial workflows. As a result, deeper insight is not collected often enough.
Batteries change continuously during charge, discharge, ageing, and real use. Many characterisation methods still capture isolated snapshots using artificially low current, making it difficult to understand how battery behaviour evolves under realistic operating conditions.
Subtle defects, cell-to-cell variation, ageing mechanisms, and safety-relevant changes can remain hidden until much later. This creates uncertainty in research conclusions, production quality, lifetime prediction, and field reliability.
Improve your work with batteries and cut costs with rapd, reliable and repeatable EIS measurement
R3 EIS runs full-spectrum multi-sine EIS measurements with hundreds or thousands of frequencies in only seconds. This allows more efficient workflows for more insightful battery characterisation throughout the battery value chain practical.
Instead of relying on simplistic methods or low-resolution EIS data, R3 EIS adds detailed electrochemical insight with much higher resolution. This is made posible by a combination of innovations within both electroics and signal design. This makes it possible to detect subtle changes that are otherwise difficult to see.
R3 EIS brings the diagnostic depth of EIS into workflows where conventional EIS is too slow or fragmented. This allows researchers and industry teams to collect richer data more often, across more batteries and test conditions.
R3 EIS measures while the battery is charging or discharging, not only in isolated resting states, using real operating current. This helps reveal how battery behaviour evolves under realistic current conditions and across the state-of-charge window.
By generating fast, repeatable, high-resolution impedance data, R3 EIS supports better root-cause analysis, ageing studies, quality comparison, model development, and early detection of abnormal behaviour.
