Paper Publications
- 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.
- Zhang, Y., Han, D. and Xiong, R., 2023. Feature-Driven Closed-Loop Optimization for Battery Fast Charging Design with Machine Learning. Journal of The Electrochemical Society.
- Luo, G., Zhang, Y. and Tang, A., 2023. Capacity Degradation and Aging Mechanisms Evolution of Lithium-Ion Batteries under Different Operation Conditions. Energies, 16(10), p.4232.
- Yonzhi Zhang,Lang Tong.Regenerative braking-based hierarchical model predictive cabin thermal management for battery life extension of autonomous electric vehicles.[J:Journal of Energy Storage,2022,52):104662
- Yongzhi Zhang,Lang Tong.Optimal Eco-driving Control of Autonomous and Electric Trucks in Adaptation to Highway Altitude: Energy Minimization and Battery Life Extension.[J:IEEE Transactions on Transportation Electrification,2022,8(2):2149-2163
- Rui Xiong,Ju Wang.Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles:Vehicular Technology,2019
College of Mechanical and Vehicle Engineering ChongQing University
Add:7th Teaching Building, Campus A,
No. 174 Shazheng Street, Shapingba District,
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