Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Chunhui LiuThis email address is being protected from spambots. You need JavaScript enabled to view it., DeLong Zhang, Wenke Zha, and Jixiang Wang

College of Mechanical Engineering, Anhui Science and Technology University, Fengyang 233100, China


 

 

Received: October 28, 2022
Accepted: October 4, 2023
Publication Date: November 5, 2023

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202407_27(7).0010  


The capacity loss of the high power LiFePO4-graphite (LFP-C) Li-ion batteries under four common different charging modes was investigated. First, the battery model coupled equivalent circuit, thermal and aging model was established. Then the validity of the battery model was verified by the experimental data. Finally, four common different charging strategies were given to simulate the capacity loss of the batteries. The simulation results showed that the recharge took place in the morning before the driver went to work and then underwent four electric vehicle NEDC cycles always had the minimal capacity loss, and that the recharge took place whenever the driver had time always had the maximum capacity loss.


Keywords: LiFePO4-graphite Li-ion batteries; equivalent circuit model; capacity loss model; charging strategies


  1. [1] M. S. Kumar and S. T. Revankar, (2017) “Development scheme and key technology of an electric vehicle: An overview" Renewable and Sustainable Energy Reviews 70: 1266–1285.
  2. [2] W. Waag, C. Fleischer, and D. U. Sauer, (2014) “Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles" Journal of Power Sources 258: 321–339.
  3. [3] A. M. Andwari, A. Pesiridis, S. Rajoo, R. MartinezBotas, and V. Esfahanian, (2017) “A review of Battery Electric Vehicle technology and readiness levels" Renewable and Sustainable Energy Reviews 78: 414–430.
  4. [4] B. Scrosati and J. Garche, (2010) “Lithium batteries: Status, prospects and future" Journal of power sources 195(9): 2419–2430.
  5. [5] J.-M. Tarascon and M. Armand, (2001) “Issues and challenges facing rechargeable lithium batteries" nature 414(6861): 359–367.
  6. [6] Q. Zhang and R. E. White, (2007) “Calendar life study of Li-ion pouch cells" Journal of Power Sources 173(2): 990–997.
  7. [7] Q. Zhang and R. E. White, (2008) “Calendar life study of Li-ion pouch cells: Part 2: Simulation" Journal of Power Sources 179(2): 785–792.
  8. [8] K. Honkura, K. Takahashi, and T. Horiba, (2011) “Capacity-fading prediction of lithium-ion batteries based on discharge curves analysis" Journal of power sources 196(23): 10141–10147.
  9. [9] Q. Zhang and R. E. White, (2008) “Capacity fade analysis of a lithium ion cell" Journal of Power Sources 179(2): 793–798.
  10. [10] R. Narayanrao, M. M. Joglekar, and S. Inguva, (2012) “A phenomenological degradation model for cyclic aging of lithium ion cell materials" Journal of the Electrochemical Society 160(1): A125.
  11. [11] M. W. Verbrugge and Y.-T. Cheng, (2009) “Stress and strain-energy distributions within diffusion-controlled insertion-electrode particles subjected to periodic potential excitations" Journal of The Electrochemical Society 156(11): A927.
  12. [12] E. Sarasketa-Zabala, I. Gandiaga, L. RodriguezMartinez, and I. Villarreal, (2014) “Calendar ageing analysis of a LiFePO4/graphite cell with dynamic model validations: Towards realistic lifetime predictions" Journal of Power Sources 272: 45–57.
  13. [13] I. Bloom, B. Cole, J. Sohn, S. A. Jones, E. G. Polzin, V. S. Battaglia, G. L. Henriksen, C. Motloch, R. Richardson, T. Unkelhaeuser, et al., (2001) “An accelerated calendar and cycle life study of Li-ion cells" Journal of power sources 101(2): 238–247.
  14. [14] E. Thomas, I. Bloom, J. Christophersen, and V. Battaglia, (2008) “Statistical methodology for predicting the life of lithium-ion cells via accelerated degradation testing" Journal of Power Sources 184(1): 312–317.
  15. [15] E. Thomas, I. Bloom, J. Christophersen, and V. Battaglia, (2012) “Rate-based degradation modeling of lithium-ion cells" Journal of Power Sources 206: 378–382.
  16. [16] M. Ecker, J. B. Gerschler, J. Vogel, S. Käbitz, F. Hust, P. Dechent, and D. U. Sauer, (2012) “Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data" Journal of Power Sources 215: 248–257.
  17. [17] J. Schmalstieg, S. Käbitz, M. Ecker, and D. U. Sauer, (2014) “A holistic aging model for Li (NiMnCo) O2 based 18650 lithium-ion batteries" Journal of Power Sources 257: 325–334.
  18. [18] J. Belt, V. Utgikar, and I. Bloom, (2011) “Calendar and PHEV cycle life aging of high-energy, lithium-ion cells containing blended spinel and layered-oxide cathodes" Journal of Power Sources 196(23): 10213–10221.
  19. [19] M. Kassem, J. Bernard, R. Revel, S. Pelissier, F. Duclaud, and C. Delacourt, (2012) “Calendar aging of a graphite/LiFePO4 cell" Journal of Power Sources 208: 296–305.
  20. [20] K. Takei, K. Kumai, Y. Kobayashi, H. Miyashiro, N. Terada, T. Iwahori, and T. Tanaka, (2001) “Cycle life estimation of lithium secondary battery by extrapolation method and accelerated aging test" Journal of Power Sources 97: 697–701.
  21. [21] J. Wang, P. Liu, J. Hicks-Garner, E. Sherman, S. Soukiazian, M. Verbrugge, H. Tataria, J. Musser, and P. Finamore, (2011) “Cycle-life model for graphite-LiFePO4 cells" Journal of power sources 196(8): 3942–3948.
  22. [22] Y. Cui, C. Du, G. Yin, Y. Gao, L. Zhang, T. Guan, L. Yang, and F. Wang, (2015) “Multi-stress factor model for cycle lifetime prediction of lithium ion batteries with shallow-depth discharge" Journal of Power Sources 279: 123–132.
  23. [23] K. A. Smith, C. D. Rahn, and C.-Y. Wang, (2007) “Control oriented 1D electrochemical model of lithium ion battery" Energy Conversion and management 48(9): 2565-2578.


    



 

2.1
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