Author

Shao-Jie Yang

2 papers indexed here

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Sep 2026

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

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 large volumes of labeled data, limiting their prac...

Wei Zhang, Le-Tian Niu, Shao-Jie Yang et al. · Robotica (Cambridge. Print) · 0 citations

2026

Privacy-Preserving Federated Learning for State-of-Health Prediction of Lithium-Ion Batteries With Randomized Quantization-Enabled Data Augmentation

Lithium-ion batteries are extensively used in electric vehicles as efficient energy storage systems, making accurate prediction of their state of health (SOH) crucial. In practice, accurate SOH prediction requires large amounts of battery data for model training. However, individual battery users often lack sufficient...

Wei Zhang, Nan Jiang, Xiang Li et al. · IEEE Transactions on Instrum... · 0 citations