Artificial Intelligence Research Intern
MST, TU Chemnitz
Feb 2025 - Jun 2025 (5 months)
Designed and trained a hybrid CNN-Transformer model for Lithium ion battery State of Charge prediction using time series voltage, current signals and temperature. Preprocessed time-series inputs (windowing, downsampling, feature scaling) and conducted systematic model and input configuration tuning, identifying an optimal setup achieving 0.86% RMSE.