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BATMAX - Battery management by multi-domain digital twins

Physics and data-based battery management by multi-domain digital twins (BATMAX) sets out to pave the way for advanced next generation adaptable battery management systems capable of fulfilling the needs and requirements of various mobile and stationary applications and use cases.

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The transportation sector is responsible for roughly one-quarter of the total greenhouse emissions in the EU, with road vehicles contributing to over 60% of the emissions. The European Green Deal sets forth ambitious climate change mitigation goals, with all 27 EU Member States dedicated to transforming the EU into the world's first carbon-neutral continent by 2050. They have committed to reducing emissions by a minimum of 55% by 2030 compared to 1990 levels, with the aim of achieving a fossil-free society by 2050. The development of more efficient and reliable battery systems is crucial in achieving these objectives.

BATMAX sets out to pave the way for advanced next-generation adaptable Battery Management Systems (BMS) capable of fulfilling the needs and requirements of various mobile and stationary applications and use cases. The main objective of the project is to contribute to improving battery system performance, safety, reliability, service life, lifetime cost and therefore to maximise the value created by operation of the battery systems in various kinds of end use applications. This is approached by creating a framework for next generation of battery management based on large amounts of data, both experimental, operational and synthetic, adaptable physics-based models, suitable reduced-order models for both physical BMS algorithms and real-time multi-scale digital twins. BATMAX develops a framework to efficiently parameterise physics-based models is essential to reduce the cost of model development and encourage their use in BMSs.

SINTEF Energi AS will support physics-based battery models parameterization, with data collected from experimental testing of large pouch cells, and will integrate the modelling framework into the larger BMS infrastructure.

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Read more on the project website.

 


Funded under: HORIZON Europe - Funded under Climate, Energy and Mobility Grant agreement ID: 101104013


 

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Project duration

2023 - 2026

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