Supplementary Materials for "From Fiber-Optic Sensing to Mesoscale Modeling: A Spatial-Temporal Transformer-Enhanced Distributed Thermal Profiling Approach for Lithium-ion Batteries"

This is the Supplementary Material for the paper titled "From Fiber-Optic Sensing to Mesoscale Modeling: A Spatial-Temporal Transformer-Enhanced Distributed Thermal Profiling Approach for Lithium-ion Batteries." There are two files included: Parameter_check.ipynb and Battery_21700_Test_1C_Dataset.csv. The Parameter_check.ipynb file is a Jupyter notebook that showcases the majority of the weights and parameters of the trained Spatial-Temporal Transformer (STT) model. The Battery_21700_Test_1C_Dataset.csv file is an Excel dataset that contains the current, terminal voltage, and internal/external temperature distribution data of a battery during 1C (approximately 5A) constant current discharge over 1-3600 seconds. The time sampling interval is 1 second.