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Research on SOH Capacity Analysis Method of Grouped Lithium Batteries Based on Capacity Increment Curve

Published: 20 September 2019 Publication History

Abstract

The state of health (SOH) of lithium-ion batteries is a comprehensive evaluation index of battery aging. The characterization and estimation of battery health status is the key technology of the new generation battery management system. Since the SOH calculation of lithium batteries is affected by the comprehensive factors, the calculation of SOH has become the focus of research. In this paper, the capacity increment curve (IC curve) of 18650 lithium iron phosphate battery was used as the analysis tool. The numerical analysis method was used to analyze the variation of IC curve characteristic peak with battery aging. It is found that the peak-to-peak capacity of the two features in the IC curve has a certain relationship with the total capacity and remains unchanged. Based on this, a mathematical model was established to calculate the relationship between the capacity and the total capacity of the characteristic peaks. When the SOH of the group battery is estimated, the capacity of all the single cells in the battery package was calculated one by using the relation coefficient, and compared with the actual capacity calculated by the SOC-OCV curve, the maximum capacity error is 3.86%, thereby accurately estimating the battery capacity of the group and its SOH. This method also has important reference value for the study of group battery consistency.

References

[1]
Berecibar M, Gandiaga I, Villarreal I, etal, "Critical review of state of health estimation methods of Li-ion batteries for real applications,"Renewabl& Sustainable Energy Reviews, vol. 56(3), pp. 572--587, 2016.
[2]
Christophersen J P, Ho C D, Henriksen G L, et al."Advanced Technology Development Program for Lithium-Ion Batteries,"Gen 2 GDR Performance Evaluation Report[J]. Acceleration, 2006.
[3]
Thomas E V, Case H L, Doughty D H, et al. "Accelerated power degradation of Li-ion cells,". Journal of Power Sources, vol. 124(1), pp. 5, 2003.
[4]
Huang Wenhao, "Preparation and properties of lithium iron phosphate as cathode material for lithium ion secondary battery " Guangzhou: South China University of Technology, 2012.
[5]
Sarasketa-Zabala E, Martinez-Laserna E, Berecibar M, et al, "Realistic lifetime prediction approach for Li-ion batteries," Applied Energy, vol. 162, pp: 839--826, 2016.
[6]
Shan Shan, "Research on new ionic liquid electrolyte for lithium ion battery," Harbin: Harbin Institute of Technology, 2009.
[7]
Fu Yanbao, Ma Xiaohua, Ma Ruobioa, "Process of Forming SEI Film by LiBOB/PC Electrolyte,". Battery.pp.11--13, 2008
[8]
Safari M, Delacourt C, "Simulation-Based Analysis of Aging Phenomena in a Commercial Graphite/LiFePO4 Cell," Journal of the Electrochemical Society, pp: 218--233, 1992.
[9]
Guo Qipei, Zhang Caiping, Gao Yang, Jiang Jiuchun, Jiang Yan, "Estimation Method of Health Status of Ternary Lithium Ion Battery Based on Capacity Increment Curve,"Global Energy Internet, pp.180--187, 2018.

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  1. Research on SOH Capacity Analysis Method of Grouped Lithium Batteries Based on Capacity Increment Curve

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    RICAI '19: Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence
    September 2019
    803 pages
    ISBN:9781450372985
    DOI:10.1145/3366194
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 September 2019

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    Author Tags

    1. SOH
    2. capacity analysis
    3. capacity increment curve
    4. characteristic peak

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    RICAI '19 Paper Acceptance Rate 140 of 294 submissions, 48%;
    Overall Acceptance Rate 140 of 294 submissions, 48%

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