The state-of-charge (SOC) estimation of lithium-ion batteries is very important for the safe and reliable operation of the battery pack. In the industry, the ampere-hour integration plus open-circuit voltage (OCV) strategy is normally used to estimate the SOC. However, the use of OCV is very demanding, requiring several hours. In this paper, a new estimation strategy is proposed, which can calibrate SOC during battery operation to eliminate the accumulated error of ampere-hour integration. Specifically, when the current of the battery is constant for a given period, or the change is small while charging or discharging, the SOC can be corrected according to its voltage. The detailed theoretical analysis is given in this paper and an experimental platform is built for testing.
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January 2024
Research Article|
April 01 2023
Lithium-ion battery state-of-charge estimation strategy for industrial applications
Zilong Chen;
Zilong Chen
Lecturer, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, School of Automobile and Transportation, Xihua University, Chengdu, Sichuan, China (corresponding author: 0720140037@mail.xhu.edu.cn)
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Wenjun Liao;
Wenjun Liao
Lecturer, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, School of Automobile and Transportation, Xihua University, Chengdu, Sichuan, China
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Pingfei Li;
Pingfei Li
Associate Professor, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, School of Automobile and Transportation, Xihua University, Chengdu, Sichuan, China
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Jinhui Tan;
Jinhui Tan
Associate Professor, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, School of Automobile and Transportation, Xihua University, Chengdu, Sichuan, China
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Yuping Chen
Yuping Chen
Undergraduate student, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, School of Automobile and Transportation, Xihua University, Chengdu, Sichuan, China
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Publisher: Emerald Publishing
Received:
August 21 2022
Accepted:
February 14 2023
Online ISSN: 1751-4231
Print ISSN: 1751-4223
Emerald Publishing Limited: All rights reserved
2023
Proceedings of the Institution of Civil Engineers - Energy (2024) 177 (1): 14–21.
Article history
Received:
August 21 2022
Accepted:
February 14 2023
Citation
Chen Z, Liao W, Li P, Tan J, Chen Y (2024), "Lithium-ion battery state-of-charge estimation strategy for industrial applications". Proceedings of the Institution of Civil Engineers - Energy, Vol. 177 No. 1 pp. 14–21, doi: https://doi.org/10.1680/jener.22.00056
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