Safe Batteries for our Safe Everyday Life

Batteries are increasingly becoming a central element of our everyday lifes.They are becoming more powerful, more durable and more widespread – and therefore also need to become increasingly secure.
Batteries are increasingly becoming a central element of our everyday lifes.They are becoming more powerful, more durable and more widespread – and therefore also need to become increasingly secure.
Imagine you have a mobile phone or an e-bike and suddenly the battery catches fire. Unfortunately, this happens time and time again. But why do batteries catch fire? Jörg Moser from Graz University of…
One topic, but a multiplicity of angles and perspectives.
Energy storage systems are becoming increasingly important, powerful and widespread. However, this also means that the demands on their safety and durability are growing.
Bernhard Gadermaier, a researcher at the TU Graz Institute for Chemistry and Technology of Materials, provides a chemical perspective on how batteries can be best protected.
A team of students from TU Graz, TU Vienna, the University of Vienna, JKU Linz and St. Pölten UAS has qualified for the final round of the unofficial hacking world championship in Las Vegas.
Alexander Lex is looking at the question of how interaction between humans and computers can be improved – particularly in visualisation and accessibility.
Researchers at TU Graz have developed an environmentally friendly housing for electric car batteries. Their wood-steel construction performs excellently in safety experiments and simulations; it even…
The Artificial Intelligence Engineering extension programme offers master’s students and graduates the opportunity to learn the basics of computer science and apply AI methods to their specialist…
How safe electric cars are is the topic of many discussions at a regular’s table. Daniel Fruhwirt from TU Graz’s Institute of Thermodynamics and Sustainable Propulsion Systems explains how the…
Researchers from TU Graz, Pro2Future and the University of St. Gallen have developed methods that enable IoT devices to run AI models with minimal memory – for example, to correct positioning errors.
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