| Binary multi-frequency signal for accurate and rapid electrochemical impedance spectroscopy acquisition in lithium-ion batteries X Liu, S Tao, S Fu, R Ma, T Cao, H Fan, J Zuo, X Zhang, Y Wang, Y Sun Applied Energy 364, 123221, 2024 | 6 | 2024 |
| Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learning S Tao, M Zhang, Z Zhao, H Li, R Ma, Y Che, X Sun, L Su, X Chen, Z Zhou, ... arXiv preprint arXiv:2406.00276, 2024 | 2 | 2024 |
| Generative learning assisted state-of-health estimation for sustainable battery recycling with random retirement conditions S Tao, R Ma, Z Zhao, G Ma, L Su, H Chang, Y Chen, H Liu, Z Liang, T Cao, ... Nature Communications 15 (1), 10154, 2024 | 1 | 2024 |
| Feature-enhanced deep learning method for electric vehicle charging demand probabilistic forecasting of charging station T Cao, Y Xu, G Liu, S Tao, W Tang, H Sun Applied Energy 371, 123751, 2024 | 1 | 2024 |
Shengyu TaoTsinghua University; University of California, Berkeley在 berkeley.edu 的电子邮件经过验证
Shengyu TaoTsinghua University; University of California, Berkeley在 berkeley.edu 的电子邮件经过验证
Yinliang XuTsinghua-Berkeley Shenzhen Institute在 sz.tsinghua.edu.cn 的电子邮件经过验证
Sun HongbinTsinghua University