Browse State-of-the-Art › Battery cycle life prediction
Battery cycle life prediction
2 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Battery degradation remains a critical challenge in the pursuit of green technologies and sustainable energy solutions. Despite significant research efforts, predicting battery capacity loss accurately remains a formidable task due to its complex nature.
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2 shown of 2 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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16 Sep 2024 2 repositories listedBattery state of health (SoH) is a vital indicator of its performance and longevity, making accurate SoH predictions crucial for effectively managing and maintaining battery-powered systems.
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31 Oct 2024 1 repository listedTo address this challenge, we introduce a novel general-purpose model for battery degradation prediction and synthesis, DiffBatt.
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