About this document
Fox Online Version by zkzuatftil936 is a document available to read on EtoBox.
The document discusses a novel framework called CL-GraphSAGE for predicting the state of health (SOH) of lithium-ion batteries using graph neural networks. It highlights the importance of both temporal and spatial features of health indicators (HIs) in improving prediction accuracy, addressing limitations of existing methods that primarily focus on temporal data. The framework aims to enhance battery safety and reliability by effectively utilizing limited data through advanced machine learning techniques.
- Author
- zkzuatftil936
- Language
- EN