How AI and Digital Twins Are Powering the Future
Batteries power the technologies we rely on daily, from electric vehicles to smartphones, yet improving their efficiency remains a critical challenge. Mohamed El Bahnasawi, a researcher in artificial intelligence, is addressing this as part of the EU Horizon Europe project Battery Cell Assembly Twin (BatCAT).
By creating a "digital twin" of batteries, the BatCAT team models chemical and manufacturing processes virtually, allowing them to simulate scenarios without physical testing. This approach leverages AI to predict battery behaviour, condition, and life cycle, paving the way for smarter, more durable batteries. A key focus is on "explainable AI," ensuring the technology not only delivers performance but is also transparent in its decision-making, aligning with European standards.
Coordinated by the Norwegian University of Life Sciences, BatCAT unites 18 partners across nine countries to revolutionise battery technology. Mohamed El Bahnasawi, currently pursuing his doctoral thesis, combines his engineering expertise and passion for innovation to advance this transformative project.
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