IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v227y2021ics0360544221006666.html
   My bibliography  Save this article

Comparison of the effect of linear and two-step fast charging protocols on degradation of lithium ion batteries

Author

Listed:
  • Xu, Meng
  • Wang, Xia
  • Zhang, Liwen
  • Zhao, Peng

Abstract

This work compares the effect of linear and two-step fast charging protocols on degradation of the Li-ion battery due to the solid electrolyte interphase (SEI) increase with the charging-discharging cycles based on an electrochemical and capacity fade coupled cell model. Since there is still a lack of knowledge regarding how the State of Charge (SOC) – dependent charging profile affects battery degradation, different slopes of the linear charging profile and different combinations of the charging current level for the two-step charging protocol are chosen as sample protocols representing the profiles varying with the SOC. The simulation results indicate that the two-step increasing charging protocol can achieve the lowest capacity fade ratio over 3000 cycles; the linear decreasing charging protocol can achieve the lowest charging voltage increase. The capacity fade due to the SEI layer increase in the negative electrode results in a shift of the stoichiometry coefficient cycling range and therefore a lower cell equilibrium potential and power performance.

Suggested Citation

  • Xu, Meng & Wang, Xia & Zhang, Liwen & Zhao, Peng, 2021. "Comparison of the effect of linear and two-step fast charging protocols on degradation of lithium ion batteries," Energy, Elsevier, vol. 227(C).
    • Handle: RePEc:eee:energy:v:227:y:2021:i:c:s0360544221006666
    DOI: 10.1016/j.energy.2021.120417
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221006666
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.120417?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chang, Chia-Chin & Huang, Sin-Yi & Chen, Wei-Hsin, 2019. "Thermal and solid electrolyte interphase characterization of lithium-ion battery," Energy, Elsevier, vol. 174(C), pages 999-1011.
    2. Abdel-Monem, Mohamed & Trad, Khiem & Omar, Noshin & Hegazy, Omar & Van den Bossche, Peter & Van Mierlo, Joeri, 2017. "Influence analysis of static and dynamic fast-charging current profiles on ageing performance of commercial lithium-ion batteries," Energy, Elsevier, vol. 120(C), pages 179-191.
    3. Xu, Meng & Zhang, Zhuqian & Wang, Xia & Jia, Li & Yang, Lixin, 2015. "A pseudo three-dimensional electrochemical–thermal model of a prismatic LiFePO4 battery during discharge process," Energy, Elsevier, vol. 80(C), pages 303-317.
    4. Zou, Changfu & Hu, Xiaosong & Wei, Zhongbao & Tang, Xiaolin, 2017. "Electrothermal dynamics-conscious lithium-ion battery cell-level charging management via state-monitored predictive control," Energy, Elsevier, vol. 141(C), pages 250-259.
    5. Bazinski, S.J. & Wang, X. & Sangeorzan, B.P. & Guessous, L., 2016. "Measuring and assessing the effective in-plane thermal conductivity of lithium iron phosphate pouch cells," Energy, Elsevier, vol. 114(C), pages 1085-1092.
    6. Lin, Qian & Wang, Jun & Xiong, Rui & Shen, Weixiang & He, Hongwen, 2019. "Towards a smarter battery management system: A critical review on optimal charging methods of lithium ion batteries," Energy, Elsevier, vol. 183(C), pages 220-234.
    7. Liang, Jialin & Gan, Yunhua & Li, Yong & Tan, Meixian & Wang, Jianqin, 2019. "Thermal and electrochemical performance of a serially connected battery module using a heat pipe-based thermal management system under different coolant temperatures," Energy, Elsevier, vol. 189(C).
    8. Deng, Zhongwei & Deng, Hao & Yang, Lin & Cai, Yishan & Zhao, Xiaowei, 2017. "Implementation of reduced-order physics-based model and multi-parameters identification strategy for lithium-ion battery," Energy, Elsevier, vol. 138(C), pages 509-519.
    9. Miranda, D. & Almeida, A.M. & Lanceros-Méndez, S. & Costa, C.M., 2019. "Effect of the active material type and battery geometry on the thermal behavior of lithium-ion batteries," Energy, Elsevier, vol. 185(C), pages 1250-1262.
    10. Fernández, I.J. & Calvillo, C.F. & Sánchez-Miralles, A. & Boal, J., 2013. "Capacity fade and aging models for electric batteries and optimal charging strategy for electric vehicles," Energy, Elsevier, vol. 60(C), pages 35-43.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wan, Hongri & Shen, Xiran & Jiang, Hao & Zhang, Cheng & Jiang, Kaile & Chen, Teng & Shi, Liluo & Dong, Liming & He, Changchun & Xu, Yan & Li, Jing & Chen, Yan, 2021. "Biomass-derived N/S dual-doped porous hard-carbon as high-capacity anodes for lithium/sodium ions batteries," Energy, Elsevier, vol. 231(C).
    2. Fan, Zhaohui & Fu, Yijie & Liang, Hong & Gao, Renjing & Liu, Shutian, 2023. "A module-level charging optimization method of lithium-ion battery considering temperature gradient effect of liquid cooling and charging time," Energy, Elsevier, vol. 265(C).
    3. Lv, Haichao & Kang, Lixia & Liu, Yongzhong, 2023. "Analysis of strategies to maximize the cycle life of lithium-ion batteries based on aging trajectory prediction," Energy, Elsevier, vol. 275(C).
    4. Shabani, Masoume & Wallin, Fredrik & Dahlquist, Erik & Yan, Jinyue, 2023. "The impact of battery operating management strategies on life cycle cost assessment in real power market for a grid-connected residential battery application," Energy, Elsevier, vol. 270(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gao, Yizhao & Zhu, Chong & Zhang, Xi & Guo, Bangjun, 2021. "Implementation and evaluation of a practical electrochemical- thermal model of lithium-ion batteries for EV battery management system," Energy, Elsevier, vol. 221(C).
    2. Guo, Zengjia & Xu, Qidong & Wang, Yang & Zhao, Tianshou & Ni, Meng, 2023. "Battery thermal management system with heat pipe considering battery aging effect," Energy, Elsevier, vol. 263(PE).
    3. Fan, Zhaohui & Fu, Yijie & Liang, Hong & Gao, Renjing & Liu, Shutian, 2023. "A module-level charging optimization method of lithium-ion battery considering temperature gradient effect of liquid cooling and charging time," Energy, Elsevier, vol. 265(C).
    4. Yang, Yue & Chen, Lei & Yang, Lijun & Du, Xiaoze & Yang, Yongping, 2020. "Capacity fade characteristics of lithium iron phosphate cell during dynamic cycle," Energy, Elsevier, vol. 206(C).
    5. Xiaogang Wu & Siyu Lv & Jizhong Chen, 2017. "Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles," Energies, MDPI, vol. 10(11), pages 1-17, October.
    6. Li, Changlong & Cui, Naxin & Wang, Chunyu & Zhang, Chenghui, 2021. "Reduced-order electrochemical model for lithium-ion battery with domain decomposition and polynomial approximation methods," Energy, Elsevier, vol. 221(C).
    7. Li, Yalun & Gao, Xinlei & Feng, Xuning & Ren, Dongsheng & Li, Yan & Hou, Junxian & Wu, Yu & Du, Jiuyu & Lu, Languang & Ouyang, Minggao, 2022. "Battery eruption triggered by plated lithium on an anode during thermal runaway after fast charging," Energy, Elsevier, vol. 239(PB).
    8. Ardani, M.I. & Patel, Y. & Siddiq, A. & Offer, G.J. & Martinez-Botas, R.F., 2018. "Combined experimental and numerical evaluation of the differences between convective and conductive thermal control on the performance of a lithium ion cell," Energy, Elsevier, vol. 144(C), pages 81-97.
    9. Thomas Imre Cyrille Buidin & Florin Mariasiu, 2021. "Battery Thermal Management Systems: Current Status and Design Approach of Cooling Technologies," Energies, MDPI, vol. 14(16), pages 1-32, August.
    10. Sattarzadeh, Sara & Padisala, Shanthan K. & Shi, Ying & Mishra, Partha Pratim & Smith, Kandler & Dey, Satadru, 2023. "Feedback-based fault-tolerant and health-adaptive optimal charging of batteries," Applied Energy, Elsevier, vol. 343(C).
    11. Li, Dongdong & Yang, Lin & Li, Chun, 2021. "Control-oriented thermal-electrochemical modeling and validation of large size prismatic lithium battery for commercial applications," Energy, Elsevier, vol. 214(C).
    12. Zhou, Yuekuan, 2023. "Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimisation," Renewable Energy, Elsevier, vol. 202(C), pages 1324-1341.
    13. Rauf, Huzaifa & Khalid, Muhammad & Arshad, Naveed, 2022. "Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    14. Cai, Yishan & Yang, Lin & Deng, Zhongwei & Zhao, Xiaowei & Deng, Hao, 2018. "Online identification of lithium-ion battery state-of-health based on fast wavelet transform and cross D-Markov machine," Energy, Elsevier, vol. 147(C), pages 621-635.
    15. Li, Guanzheng & Li, Bin & Li, Chao & Wang, Shuai, 2023. "State-of-health rapid estimation for lithium-ion battery based on an interpretable stacking ensemble model with short-term voltage profiles," Energy, Elsevier, vol. 263(PE).
    16. Ghorbanzadeh, Milad & Astaneh, Majid & Golzar, Farzin, 2019. "Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems," Energy, Elsevier, vol. 166(C), pages 1194-1206.
    17. Al-Falahi, Monaaf D.A. & Jayasinghe, Shantha D.G. & Enshaei, Hossein, 2019. "Hybrid algorithm for optimal operation of hybrid energy systems in electric ferries," Energy, Elsevier, vol. 187(C).
    18. Zhang, Chaoyu & Zhang, Chengming & Li, Liyi & Guo, Qingbo, 2021. "Parameter analysis of power system for solar-powered unmanned aerial vehicle," Applied Energy, Elsevier, vol. 295(C).
    19. Elsewify, O. & Souri, M. & Esfahani, M.N. & Hosseinzadeh, E. & Jabbari, M., 2021. "A new method for internal cooling of a large format lithium-ion battery pouch cell," Energy, Elsevier, vol. 225(C).
    20. Okay, Kamil & Eray, Sermet & Eray, Aynur, 2022. "Development of prototype battery management system for PV system," Renewable Energy, Elsevier, vol. 181(C), pages 1294-1304.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:227:y:2021:i:c:s0360544221006666. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.