Huang Zhang
Huang Zhang is an industrial Ph.D. student at Automatic Control Group, in collaboration with Volvo Group. His research interests include uncertainty estimation in machine learning and deep learning, and optimal control. His current research applications include battery degradation diagnostics and prognostics, battery lifetime prediction, and techno-economic analysis of second-life batteries.
Showing 7 publications
Battery capacity knee-onset identification and early prediction using degradation curvature
Scenario-Aware Machine Learning Pipeline for Battery Lifetime Prediction
Synthetic dataset of LG M50 batteries with different degradation pathways
Comparative Analysis of Battery Cycle Life Early Prediction Using Machine Learning Pipeline
Interpretable Battery Lifetime Prediction Using Early Degradation Data
Interpretable Battery Cycle Life Range Prediction Using Early Cell Degradation Data
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