Revolutionizing Battery Technology: AI and the Future of Energy Storage

The quality of batteries affects many aspects of our daily lives: Will we arrive at our holiday destination in our electric car? Can we be reached on our smartphones? Does the hearing aid still have plenty of power late at night? Mohamed El Bahnasawi is working on making batteries smarter and more efficient as part of the EU Horizon Europe project ‘Battery Cell Assembly Twin (BatCAT)’. The aim is to use artificial intelligence to learn more about the processes in the batteries in order to be able to use them more efficiently in the future.

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The predictor of the future

Witesyavwirwa Vianney Kambale can predict the future, and he can do it without using a crystal ball. Working in the “Transportation Informatics” research group at the Department of Smart Systems Technologies, this doctoral student uses data from yesterday and today to look ahead to tomorrow.

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