IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v196y2017icp249-258.html
   My bibliography  Save this article

Clay-like mechanical properties for the jellyroll of cylindrical Lithium-ion cells

Author

Listed:
  • Wang, WenWei
  • Yang, Sheng
  • Lin, Cheng

Abstract

In this investigation, several quasi-static mechanical tests on cylindrical Lithium-ion battery cells are performed to reveal the essential mechanical properties of the jellyroll. Utilizing the plastic flow rule, it was found that the homogenized mechanical properties of the jellyroll are similar to the clay (clay-like). According to the mechanical characteristics of clay, a linear equation was proposed to describe the nonlinear constitutive behavior of the jellyroll. An explicit finite element model for the jellyroll that could accurately predict its mechanical response during deformation using crushable foam constitutive behavior was established in HyperWorks/LS-DYNA to validate the proposed approach. The simulation results of various loading cases are in good agreement with the corresponding experimental results. By proposing a micro stress area, the stress-strain relations for components of the jellyroll were calculated individually. A finite element model was developed to compare the mechanical properties of the jellyroll by changing the thickness of different components, including the metal foils and the active particles. The simulation results indicate that the change of the thickness of the coating active particles will influence the mechanical properties of the jellyroll.

Suggested Citation

  • Wang, WenWei & Yang, Sheng & Lin, Cheng, 2017. "Clay-like mechanical properties for the jellyroll of cylindrical Lithium-ion cells," Applied Energy, Elsevier, vol. 196(C), pages 249-258.
    • Handle: RePEc:eee:appene:v:196:y:2017:i:c:p:249-258
    DOI: 10.1016/j.apenergy.2017.01.062
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917300715
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2017.01.062?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. Zhao, Yang & Noori, Mehdi & Tatari, Omer, 2016. "Vehicle to Grid regulation services of electric delivery trucks: Economic and environmental benefit analysis," Applied Energy, Elsevier, vol. 170(C), pages 161-175.
    2. Byoungwoo Kang & Gerbrand Ceder, 2009. "Battery materials for ultrafast charging and discharging," Nature, Nature, vol. 458(7235), pages 190-193, March.
    3. Vikström, Hanna & Davidsson, Simon & Höök, Mikael, 2013. "Lithium availability and future production outlooks," Applied Energy, Elsevier, vol. 110(C), pages 252-266.
    4. M. Armand & J.-M. Tarascon, 2008. "Building better batteries," Nature, Nature, vol. 451(7179), pages 652-657, February.
    5. J.-M. Tarascon & M. Armand, 2001. "Issues and challenges facing rechargeable lithium batteries," Nature, Nature, vol. 414(6861), pages 359-367, November.
    6. Chen, Zeyu & Xiong, Rui & Tian, Jinpeng & Shang, Xiong & Lu, Jiahuan, 2016. "Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehicles," Applied Energy, Elsevier, vol. 184(C), pages 365-374.
    7. Xu, Jun & Liu, Binghe & Wang, Xinyi & Hu, Dayong, 2016. "Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies," Applied Energy, Elsevier, vol. 172(C), pages 180-189.
    8. Zhang, Shuo & Xiong, Rui & Cao, Jiayi, 2016. "Battery durability and longevity based power management for plug-in hybrid electric vehicle with hybrid energy storage system," Applied Energy, Elsevier, vol. 179(C), pages 316-328.
    9. Feng, Xuning & Weng, Caihao & Ouyang, Minggao & Sun, Jing, 2016. "Online internal short circuit detection for a large format lithium ion battery," Applied Energy, Elsevier, vol. 161(C), pages 168-180.
    10. Sun, Fengchun & Xiong, Rui & He, Hongwen, 2016. "A systematic state-of-charge estimation framework for multi-cell battery pack in electric vehicles using bias correction technique," Applied Energy, Elsevier, vol. 162(C), pages 1399-1409.
    11. Cuma, Mehmet Ugras & Koroglu, Tahsin, 2015. "A comprehensive review on estimation strategies used in hybrid and battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 517-531.
    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. Yiding, Li & Wenwei, Wang & Cheng, Lin & Xiaoguang, Yang & Fenghao, Zuo, 2021. "A safety performance estimation model of lithium-ion batteries for electric vehicles under dynamic compression," Energy, Elsevier, vol. 215(PA).
    2. Zhu, Juner & Zhang, Xiaowei & Luo, Hailing & Sahraei, Elham, 2018. "Investigation of the deformation mechanisms of lithium-ion battery components using in-situ micro tests," Applied Energy, Elsevier, vol. 224(C), pages 251-266.
    3. E, Jiaqiang & Xiao, Hanxu & Tian, Sicheng & Huang, Yuxin, 2024. "A comprehensive review on thermal runaway model of a lithium-ion battery: Mechanism, thermal, mechanical, propagation, gas venting and combustion," Renewable Energy, Elsevier, vol. 229(C).
    4. Sheng Yang & Wenwei Wang & Cheng Lin & Weixiang Shen & Yiding Li, 2019. "Investigation of Internal Short Circuits of Lithium-Ion Batteries under Mechanical Abusive Conditions," Energies, MDPI, vol. 12(10), pages 1-16, May.
    5. Yang, Sheng & Wang, Wenwei & Lin, Cheng & Shen, Weixiang & Li, Yiding, 2019. "Improved constitutive model of the jellyroll for cylindrical lithium ion batteries considering microscopic damage," Energy, Elsevier, vol. 185(C), pages 202-212.
    6. Liu, Jiong & Ma, Zhichao & Guo, Zixin & Zhao, Wenyang & Wang, Shenghui & Zhao, Hongwei & Ren, Luquan, 2024. "Experimental investigation on mechanical-electrochemical coupling properties of cylindrical lithium-ion batteries," Energy, Elsevier, vol. 293(C).
    7. Wenwei, Wang & Yiding, Li & Cheng, Lin & Yuefeng, Su & Sheng, Yang, 2019. "State of charge-dependent failure prediction model for cylindrical lithium-ion batteries under mechanical abuse," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    8. Young Ju Ahn, 2024. "Calibration of Crushable Foam Models for the Jellyroll of Cylindrical Lithium-Ion Batteries," Energies, MDPI, vol. 17(6), pages 1-12, March.
    9. Pan, Yongjun & Zhang, Xiaoxi & Liu, Yue & Wang, Huacui & Cao, Yangzheng & Liu, Xin & Liu, Binghe, 2022. "Dynamic behavior prediction of modules in crushing via FEA-DNN technique for durable battery-pack system design," Applied Energy, Elsevier, vol. 322(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. Mohammadmahdi Ghiji & Vasily Novozhilov & Khalid Moinuddin & Paul Joseph & Ian Burch & Brigitta Suendermann & Grant Gamble, 2020. "A Review of Lithium-Ion Battery Fire Suppression," Energies, MDPI, vol. 13(19), pages 1-30, October.
    2. Xu, Jun & Liu, Binghe & Wang, Xinyi & Hu, Dayong, 2016. "Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies," Applied Energy, Elsevier, vol. 172(C), pages 180-189.
    3. Ma, Mina & Wang, Yu & Duan, Qiangling & Wu, Tangqin & Sun, Jinhua & Wang, Qingsong, 2018. "Fault detection of the connection of lithium-ion power batteries in series for electric vehicles based on statistical analysis," Energy, Elsevier, vol. 164(C), pages 745-756.
    4. Xing Zhao & Peng Wang & Yan Wang & Peipei Chao & Honglei Dong, 2023. "Coprecipitation Synthesis and Impedance Studies on Electrode Interface Characteristics of 0.5Li 2 MnO 3 ·0.5Li(Ni 0.44 Mn 0.44 Co 0.12 )O 2 Cathode Material," Energies, MDPI, vol. 16(16), pages 1-16, August.
    5. Hammond, Geoffrey P. & Hazeldine, Tom, 2015. "Indicative energy technology assessment of advanced rechargeable batteries," Applied Energy, Elsevier, vol. 138(C), pages 559-571.
    6. Xiao, Feiyu & Xing, Bobin & Kong, Lingzhao & Xia, Yong, 2021. "Impedance-based diagnosis of internal mechanical damage for large-format lithium-ion batteries," Energy, Elsevier, vol. 230(C).
    7. Zhao, Yang & Liu, Peng & Wang, Zhenpo & Zhang, Lei & Hong, Jichao, 2017. "Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods," Applied Energy, Elsevier, vol. 207(C), pages 354-362.
    8. Gangbin Yan & George Kim & Renliang Yuan & Eli Hoenig & Fengyuan Shi & Wenxiang Chen & Yu Han & Qian Chen & Jian-Min Zuo & Wei Chen & Chong Liu, 2022. "The role of solid solutions in iron phosphate-based electrodes for selective electrochemical lithium extraction," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    9. Yiding, Li & Wenwei, Wang & Cheng, Lin & Xiaoguang, Yang & Fenghao, Zuo, 2021. "A safety performance estimation model of lithium-ion batteries for electric vehicles under dynamic compression," Energy, Elsevier, vol. 215(PA).
    10. Ziheng Zhang & Maxim Avdeev & Huaican Chen & Wen Yin & Wang Hay Kan & Guang He, 2022. "Lithiated Prussian blue analogues as positive electrode active materials for stable non-aqueous lithium-ion batteries," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    11. Zhi Chang & Huijun Yang & Xingyu Zhu & Ping He & Haoshen Zhou, 2022. "A stable quasi-solid electrolyte improves the safe operation of highly efficient lithium-metal pouch cells in harsh environments," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    12. Jack E. N. Swallow & Michael W. Fraser & Nis-Julian H. Kneusels & Jodie F. Charlton & Christopher G. Sole & Conor M. E. Phelan & Erik Björklund & Peter Bencok & Carlos Escudero & Virginia Pérez-Dieste, 2022. "Revealing solid electrolyte interphase formation through interface-sensitive Operando X-ray absorption spectroscopy," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    13. Chao Wang & Ming Liu & Michel Thijs & Frans G. B. Ooms & Swapna Ganapathy & Marnix Wagemaker, 2021. "High dielectric barium titanate porous scaffold for efficient Li metal cycling in anode-free cells," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    14. Yu, Quanqing & Dai, Lei & Xiong, Rui & Chen, Zeyu & Zhang, Xin & Shen, Weixiang, 2022. "Current sensor fault diagnosis method based on an improved equivalent circuit battery model," Applied Energy, Elsevier, vol. 310(C).
    15. Yi Wu & Saurabh Saxena & Yinjiao Xing & Youren Wang & Chuan Li & Winco K. C. Yung & Michael Pecht, 2018. "Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography," Energies, MDPI, vol. 11(4), pages 1-22, April.
    16. Zhang, Guangxu & Wei, Xuezhe & Tang, Xuan & Zhu, Jiangong & Chen, Siqi & Dai, Haifeng, 2021. "Internal short circuit mechanisms, experimental approaches and detection methods of lithium-ion batteries for electric vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    17. Yang, Ruixin & Xiong, Rui & He, Hongwen & Mu, Hao & Wang, Chun, 2017. "A novel method on estimating the degradation and state of charge of lithium-ion batteries used for electrical vehicles," Applied Energy, Elsevier, vol. 207(C), pages 336-345.
    18. Troy, Stefanie & Schreiber, Andrea & Reppert, Thorsten & Gehrke, Hans-Gregor & Finsterbusch, Martin & Uhlenbruck, Sven & Stenzel, Peter, 2016. "Life Cycle Assessment and resource analysis of all-solid-state batteries," Applied Energy, Elsevier, vol. 169(C), pages 757-767.
    19. Zhi Chang & Huijun Yang & Anqiang Pan & Ping He & Haoshen Zhou, 2022. "An improved 9 micron thick separator for a 350 Wh/kg lithium metal rechargeable pouch cell," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    20. Wang, Yujie & Liu, Chang & Pan, Rui & Chen, Zonghai, 2017. "Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator," Energy, Elsevier, vol. 121(C), pages 739-750.

    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:appene:v:196:y:2017:i:c:p:249-258. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.