KRI Product Lineup

Our company utilizes data analysis (AI/machine learning, etc.) to support the enhancement of product value and business improvement. Experts in material development, analysis, and data analysis will quickly resolve the challenges and issues at hand. A team of specialists will collaborate on projects to meet your needs in a one-stop manner. Please feel free to contact us when you require assistance. 【Main Equipment We Own】 ■ FE-TEM (3D, precession), FE-SEM, FE-EPMA ■ FT-IR, Raman, NMR, AFM, laser microscope ■ X-ray CT, XPS, XRF, XRD ■ TG/DTA (steam gasification), DSC ■ GC (MS), LC (MS), TOFMS, HPLC, IC, ICP, GPC, DART, AAS ■ Various magnetic measurement devices such as VMS *For more details, please refer to the PDF document or feel free to contact us.

Our company can determine the state of solid lithium present in the interior or on the surface of active materials. By understanding the state of lithium, it is possible to consider the causes of battery degradation and the reaction mechanisms. Since measurements can be made with sample amounts of several hundred milligrams, it is possible to evaluate lab-scale materials and compare sampling samples from different locations within the same cell. 【Features】 ■ Measurements can be conducted in an environment with minimal exposure to air, allowing for the measurement of materials in a charged state. *For more details, please refer to the PDF document or feel free to contact us.

We would like to introduce KRI technology for Level 4 battery digital twins. The capabilities of Level 4 (Living) include updating and adapting predictive models based on operational data. Applications are anticipated for virtual sensors that optimize predictive operations for any operational scenario and adapt to the environment. Our company will maximize system performance and enhance safety and reliability through various simulations and degradation prediction technologies applicable to any operational scenario. [KRI Technology] - Various simulations (current, voltage, reaction dispersion, heat generation, etc.) - SOH diagnostic technology, sensing technology - Degradation prediction technology applicable to any operational scenario - Analysis of operational data through data assimilation technology - Updating predictive models *For more details, please download the PDF or feel free to contact us.