Next generation battery management system based on data rich digital twin

Project Objectives

Energetic seeks to develop a next generation BMS using a hybrid of multiple AI and physics-based¬†models to optimize¬†battery utilization in the first (transportation) and second life (stationary). The¬†project will use enhanced sensing¬†technologies,¬†cloud¬†and edge control integration, and investigate¬†explainable AI models as methods to achieve this.‚Äč

The developed models will be integrated into a hybrid (AI and physics-based) digital twin-based BMS model, which will be later deployed on BMS hardware and tested with a real battery stack. The developed BMS should be able to cover at least 60% of use cases locally, and 90% of desired use cases via connected computation (Edge/Cloud).

An infographic showing that it is a research and innovation project, with a budget of 4.2 million euros, a duration of 39 months and 14 active partners.

Typhoon’s role as a project partner

Typhoon HIL is leading real-time testing activities of the developed Smart Digital Twin BMS software prior to and¬†after its subsequent¬†integration in the BMS hardware. These tests will be connected between a BMS testbed and¬†BMS hardware (the BMS “edge”) hosted at Typhoon HIL’s R&D headquarters and the cloud-based BMS software¬†where more complex AI-driven calculations can be performed. By validating performance in the C-HIL testbed, the¬†battery should be ready for stack level demonstration testing at the end of the project.‚Äč


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