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Optimizing battery operation using digital twin technology | Degradation prediction simulations

Can batteries keep up with the digitalization of cars and infrastructure? A simulation model that reflects the state of the real world in real time.

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.

Company：KRI, Inc.
Price：Other

Secondary Cells/Batteries
Other analysis and sequence
Predictive Simulation

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[AICFD] AI Prediction Simulation of Hull Resistance

The AI prediction feature is one of the distinctive modules of AICFD! It solves the problem of an enormous number of analysis iterations.

In this case, we will simulate the resistance values of a submarine under specific conditions using the AI forecasting function (Intelligent Forecasting) equipped in AICFD. The AI forecasting function is one of the distinctive modules of AICFD, and it solves the problem of the enormous number of analysis iterations in industrial design simulations through real-time result predictions by AI. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*