skip to main content
10.1145/3366194.3366240acmotherconferencesArticle/Chapter ViewAbstractPublication PagesricaiConference Proceedingsconference-collections
research-article

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

Authors Info & Claims
Published:20 September 2019Publication 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.Google ScholarGoogle ScholarCross RefCross Ref
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle ScholarCross RefCross Ref
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle ScholarCross RefCross Ref
  6. Shan Shan, "Research on new ionic liquid electrolyte for lithium ion battery," Harbin: Harbin Institute of Technology, 2009.Google ScholarGoogle Scholar
  7. Fu Yanbao, Ma Xiaohua, Ma Ruobioa, "Process of Forming SEI Film by LiBOB/PC Electrolyte,". Battery.pp.11--13, 2008Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar

Index Terms

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

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      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

      Copyright © 2019 ACM

      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]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 September 2019

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      RICAI '19 Paper Acceptance Rate140of294submissions,48%Overall Acceptance Rate140of294submissions,48%
    • Article Metrics

      • Downloads (Last 12 months)15
      • Downloads (Last 6 weeks)2

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader