<ul><li>One of the key safety considerations in battery manufacturing is thermal runaway, which can lead to fires, explosions, and toxic gas emissions.</li><li>Researchers investigated the use of deep learning for detecting thermal runaway in VDL Nedcar's battery production line.</li><li>The study collected data from the production line representing baseline and thermal runaway conditions, using optical and thermal images.</li><li>Deep learning models, including shallow convolutional neural networks, residual neural networks, and vision transformers, were evaluated and found to be a viable approach for thermal runaway detection.</li></ul>

Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines

Discover more