Fast Charging Strategy Based on the Control-oriented Stress Model

Yue Zhao; Ke Xu; Hao Zhong; Qin Xie; Changwei Zhao; Zhongbao Wei

doi:10.1109/ICEI57064.2022.00019

Fast Charging Strategy Based on the Control-oriented Stress Model

Yue Zhao
, Ke Xu
, Hao Zhong
, Qin Xie
, Changwei Zhao
, Zhongbao Wei

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	79-84
Number of pages	6
ISBN (Electronic)	9781665493277
DOIs	https://doi.org/10.1109/ICEI57064.2022.00019
Publication status	Published - 2022
Event	6th IEEE International Conference on Energy Internet, ICEI 2022 - Virtual, Online, Norway Duration: 28 Dec 2022 → 29 Dec 2022

Publication series

Name	Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022

Conference

Conference	6th IEEE International Conference on Energy Internet, ICEI 2022
Country/Territory	Norway
City	Virtual, Online
Period	28/12/22 → 29/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

diffusion induced stress
electrochemical model
fast charging
lithiumion battery

Access to Document

10.1109/ICEI57064.2022.00019

Cite this

Zhao, Y., Xu, K., Zhong, H., Xie, Q., Zhao, C., & Wei, Z. (2022). Fast Charging Strategy Based on the Control-oriented Stress Model. In Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022 (pp. 79-84). (Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEI57064.2022.00019

@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",

}

Zhao, Y, Xu, K, Zhong, H, Xie, Q, Zhao, C & Wei, Z 2022, Fast Charging Strategy Based on the Control-oriented Stress Model. in Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022. Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022, Institute of Electrical and Electronics Engineers Inc., pp. 79-84, 6th IEEE International Conference on Energy Internet, ICEI 2022, Virtual, Online, Norway, 28/12/22. https://doi.org/10.1109/ICEI57064.2022.00019

Fast Charging Strategy Based on the Control-oriented Stress Model. / Zhao, Yue; Xu, Ke; Zhong, Hao et al.
Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 79-84 (Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fast Charging Strategy Based on the Control-oriented Stress Model

AU - Zhao, Yue

AU - Xu, Ke

AU - Zhong, Hao

AU - Xie, Qin

AU - Zhao, Changwei

AU - Wei, Zhongbao

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - diffusion induced stress

KW - electrochemical model

KW - fast charging

KW - lithiumion battery

UR - https://www.scopus.com/pages/publications/85156136353

U2 - 10.1109/ICEI57064.2022.00019

DO - 10.1109/ICEI57064.2022.00019

M3 - Conference contribution

AN - SCOPUS:85156136353

T3 - Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022

SP - 79

EP - 84

BT - Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Conference on Energy Internet, ICEI 2022

Y2 - 28 December 2022 through 29 December 2022

ER -

Zhao Y, Xu K, Zhong H, Xie Q, Zhao C, Wei Z. Fast Charging Strategy Based on the Control-oriented Stress Model. In Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 79-84. (Proceedings - 2022 IEEE International Conference on Energy Internet, ICEI 2022). doi: 10.1109/ICEI57064.2022.00019

Fast Charging Strategy Based on the Control-oriented Stress Model

Abstract

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UN SDGs

Keywords

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