3 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.SY2025
Fast data augmentation for battery degradation prediction
Weihan Li, Harshvardhan Samsukha, Bruis van Vlijmen +4
Degradation prediction for lithium-ion batteries using data-driven methods requires high-quality aging data. However, generating such data, whether in the laboratory or the field,…
eess.SY2021★ 3 cited
Forecasting battery capacity and power degradation with multi-task learning
Weihan Li, Haotian Zhang, Bruis van Vlijmen +2
Lithium-ion batteries degrade due to usage and exposure to environmental conditions, which affects their capability to store energy and supply power. Accurately predicting the capa…