Xiang Li

Transformer and self-supervised learning-based state-of-charge prediction method for lithium-ion batteries

Abstract The state-of-charge (SOC) estimation of lithium-ion batteries is essential for the performance, safety, and longevity of electric vehicles. While traditional physics-based models face difficulties in predicting SOC under complex conditions, data-driven methods demand lar...