Yongzhi Zhang
Click:
The Last Update Time:..
Paper Publications
- [1] Wu, Ze, Yongzhi Zhang, and Huizhi Wang. "Battery degradation diagnosis under normal usage without requiring regular calibration data." Journal of Power Sources 608 (2024): 234670.
- [2] Feng, Xinhong, et al. "Comprehensive performance comparison among different types of features in data-driven battery state of health estimation." Applied Energy 369 (2024): 123555.
- [3] Luo, Guoqing, et al. "A digital twin for advancing battery fast charging based on a Bayesian optimization-based method." Journal of Energy Storage 93 (2024): 112365.
- Zhao, M., Zhang, Y. and Wang, H., 2024. Battery degradation stage detection and life prediction without accessing historical operating data. Energy Storage Materials, p.103441.
- Zhao, M., Zhang, Y. and Fang, S., 2024. Improving in-situ life prediction and classification performance by capturing both the present state and evolution rate of battery aging. Journal of Energy Storage, 83, p.110768.
- Zhang, Y., Zhao, M. and Xiong, R., 2024. Online data-driven battery life prediction and quick classification based on partial charging data within 10 min. Journal of Power Sources, 594, p.234007.
- Feng, X., Zhang, Y., Xiong, R. and Tang, A., 2023. Estimating battery state of health with 10-min relaxation voltage across various charging states of charge. iEnergy.
- Zhang, Y., Wang, C., Yu, Q. and Zheng, L., 2023. Battery aging-minimal speed control of autonomous heavy-duty electric trucks in adaptation to highway topography and traffic. Science China Technological Sciences, 66(10), pp.2942-2957.
- Zhang, Yongzhi, and Mingyuan Zhao. "Cloud-based in-situ battery life prediction and classification using machine learning." Energy Storage Materials (2023).
- Zhang, Y., Feng, X., Zhao, M. and Xiong, R., 2023. In-situ battery life prognostics amid mixed operation conditions using physics-driven machine learning. Journal of Power Sources, 577, p.233246.
College of Mechanical and Vehicle Engineering ChongQing University
Building 10, Science Center, University City South Road, Shapingba
District, Chongqing
Chongqing, P.R.C., 400044
Office phone number: 86-023-65102401
Student Employment Office: 86-023-65112106
Undergraduate enrollment: 86-023-65111989
Graduate enrollment: 86-023-65106174