@inproceedings{fa5af8d21da340d3893a131eee7d9f4d,
title = "Fast Charging Strategy Based on the Control-oriented Stress Model",
abstract = "Lithium-ion batteries (LIBs) has been widely used in Electric vehicles (EVs) benefiting from their high-power density and long cycle life. Fast charging technology becomes a critical factor for EVs large-scale penetration in automotive market. This paper proposed an online stress-limited fast charging strategy based on close-loop control. A simplified single particle electrochemical model is established, based on which the computational complexity of stress model is greatly reduced. Proportional-integral (PI) observer is used for stress estimation, while proportional-integral-derivative (PID) controller is devised for stress limitation. Comparation results exhibit that the proposed fast charging strategy possesses a greater ability on stress constrain than the widely used multi-stage constant current charging protocol. Simulation results validated the applicability of the proposed strategy for arbitrary conditions.",
keywords = "diffusion induced stress, electrochemical model, fast charging, lithiumion battery",
author = "Yue Zhao and Ke Xu and Hao Zhong and Qin Xie and Changwei Zhao and Zhongbao Wei",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th IEEE International Conference on Energy Internet, ICEI 2022 ; Conference date: 28-12-2022 Through 29-12-2022",
year = "2022",
doi = "10.1109/ICEI57064.2022.00019",
language = "English",
series = "Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "79--84",
booktitle = "Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022",
address = "United States",
}
