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张永志
个人信息Personal Information
教授
博士生导师
硕士生导师
教师英文名称：Yongzhi Zhang
教师拼音名称：zhangyongzhi
入职时间：2021-03-10
所在单位：机械与运载工程学院
学历：研究生(博士)毕业
办公地点：重庆大学A区理科楼5楼
性别：男
联系方式：yongzhi@cqu.edu.cn
学位：博士学位
在职信息：在职
毕业院校：北京理工大学
学科：车辆工程
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[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.
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[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.
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[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.
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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.
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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.
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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.
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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.
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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.
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Zhang, Yongzhi, and Mingyuan Zhao. "Cloud-based in-situ battery life prediction and classification using machine learning." Energy Storage Materials (2023).
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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.
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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.
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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.
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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
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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
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Rui Xiong,Ju Wang.Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles:IEEE Transactions on Vehicular Technology,2019
