Tag: battery degradation

Researchers have developed a hybrid particle-filter and neural network framework that predicts lithium-ion battery remaining useful life with 99.41 percent ...

A new Perspective proposes a system-level framework of transferable predictive maintenance that keeps battery health predictions reliable as storage assets ...

Researchers at Daegu University used electrochemical impedance spectroscopy to show that over discharge systematically raises diffusion resistance and shifts interfacial ...

A new study in Ionics uses 72 real BMW i3 driving trips and a Horned Lizard Optimization-tuned CatBoost model to ...

A new review in Ionics synthesizes recent advances in electrode materials, interfacial chemistry, and stabilization strategies that could unlock longer-lasting, ...

Researchers have developed an adaptive low-frequency bidirectional pulse preheating method that rapidly warms lithium-ion batteries in extreme cold without causing ...

A physics-informed deep learning model combining impedance spectroscopy, distribution of relaxation times and multi-scale convolutional networks achieves sub-1-percent error in ...

Researchers at EPFL have developed MAGNETS, an inherently interpretable neural network that predicts continuous targets from time series by learning ...

Two new studies reveal that residual electronic conductivity in solid electrolytes can silently drain solid-state batteries while they sit unused, ...