Work

Capturing Temporal and Spatial Patterns in Battery SOH Prediction with a Dynamic T-GNN Model

Year: 2025

Type: conference-paper

DOI: 10.1109/itec63604.2025.11098136

Authors: Meriam Chelbi, Isaiah Oyewole, Abdallah Chehade

Institution: University of Michigan–Dearborn

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4412987155

FWCI: 6.596

Cites: 26

Cited by: 4

Related to: 10