Francesco Grimaccia

Meta-learning based on Hypernetworks for State of Health prediction of lithium-ion batteries under data scarcity

Accurate prediction of the State of Health (SOH) of lithium-ion batteries is crucial for ensuring their safe and reliable operation. However, existing data-driven methods rely on large amounts of data for training, resulting in limited generalization ability under data-scarce con...