IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i23p7780-d1288113.html
   My bibliography  Save this article

Research on the Improvement of Lithium-Ion Battery Performance at Low Temperatures Based on Electromagnetic Induction Heating Technology

Author

Listed:
  • Borui Wang

    (School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110178, China)

  • Mingyin Yan

    (School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110178, China)

Abstract

As the major power source for electric vehicles (EVs), lithium-ion batteries (LiBs) suffer from the degradation of technical performance and safety at low temperatures, which restricts the popularization of EVs in frigid regions. Thus, this study developed an extremely fast electromagnetic induction heating system in order to improve the poor performance of LiBs in cold weather. An electrochemical–thermal coupling model (ETCM), validated against the experimental results of charge and discharge, which successfully predicted LiB voltage, temperature, and other physical characteristics at various ambient temperatures, was established in COMSOL Multiphysics 6.0 as a development tool for evaluating the heating effect of the system. When the copper coil is subjected to a SAC (sinusoidal alternating current) of 8 A and 50 Hz, the LiB can be heated from 243.15 to 293.15 K within 6 min with an instantaneous temperature increase rate of 0.263 K/s and a homogeneous temperature distribution. The results of the capacity calibration, cyclable lithium detection, and HPPC simulation show that the heating method can visibly increase the Li + concentration inside the active particle, and there was only a tiny concentration gradient on the surface of the particle. In addition, the internal resistance was approximately a quarter of that without heating; therefore, both the discharge energy and specific power boost were two times higher than the original level. Compared to the normal charge–discharge cycles at 293.15 K, the capacity retention of the LiB only decreased by 0.23% after 60 consecutive heating cycles, so the heating method can balance the temperature rise, work capacity, and LiB health. Furthermore, the improvements in the thermal insulation condition and material thermal conductivity are two feasible ways to optimize the temperature-increase effect.

Suggested Citation

  • Borui Wang & Mingyin Yan, 2023. "Research on the Improvement of Lithium-Ion Battery Performance at Low Temperatures Based on Electromagnetic Induction Heating Technology," Energies, MDPI, vol. 16(23), pages 1-24, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7780-:d:1288113
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/23/7780/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/23/7780/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiang, Jiuchun & Ruan, Haijun & Sun, Bingxiang & Zhang, Weige & Gao, Wenzhong & Wang, Le Yi & Zhang, Linjing, 2016. "A reduced low-temperature electro-thermal coupled model for lithium-ion batteries," Applied Energy, Elsevier, vol. 177(C), pages 804-816.
    2. Wang, Tao & Tseng, K.J. & Zhao, Jiyun & Wei, Zhongbao, 2014. "Thermal investigation of lithium-ion battery module with different cell arrangement structures and forced air-cooling strategies," Applied Energy, Elsevier, vol. 134(C), pages 229-238.
    3. Guo, Shanshan & Xiong, Rui & Wang, Kan & Sun, Fengchun, 2018. "A novel echelon internal heating strategy of cold batteries for all-climate electric vehicles application," Applied Energy, Elsevier, vol. 219(C), pages 256-263.
    4. Waag, Wladislaw & Käbitz, Stefan & Sauer, Dirk Uwe, 2013. "Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application," Applied Energy, Elsevier, vol. 102(C), pages 885-897.
    5. Ruan, Haijun & Jiang, Jiuchun & Sun, Bingxiang & Zhang, Weige & Gao, Wenzhong & Wang, Le Yi & Ma, Zeyu, 2016. "A rapid low-temperature internal heating strategy with optimal frequency based on constant polarization voltage for lithium-ion batteries," Applied Energy, Elsevier, vol. 177(C), pages 771-782.
    6. Saw, L.H. & Ye, Y. & Tay, A.A.O., 2014. "Electro-thermal analysis and integration issues of lithium ion battery for electric vehicles," Applied Energy, Elsevier, vol. 131(C), pages 97-107.
    Full references (including those not matched with items on IDEAS)

    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. Jiang, Jiuchun & Ruan, Haijun & Sun, Bingxiang & Wang, Leyi & Gao, Wenzhong & Zhang, Weige, 2018. "A low-temperature internal heating strategy without lifetime reduction for large-size automotive lithium-ion battery pack," Applied Energy, Elsevier, vol. 230(C), pages 257-266.
    2. Oh, Ki-Yong & Epureanu, Bogdan I., 2016. "Characterization and modeling of the thermal mechanics of lithium-ion battery cells," Applied Energy, Elsevier, vol. 178(C), pages 633-646.
    3. Zhu, Jiangong & Knapp, Michael & Darma, Mariyam Susana Dewi & Fang, Qiaohua & Wang, Xueyuan & Dai, Haifeng & Wei, Xuezhe & Ehrenberg, Helmut, 2019. "An improved electro-thermal battery model complemented by current dependent parameters for vehicular low temperature application," Applied Energy, Elsevier, vol. 248(C), pages 149-161.
    4. Guo, Shanshan & Xiong, Rui & Wang, Kan & Sun, Fengchun, 2018. "A novel echelon internal heating strategy of cold batteries for all-climate electric vehicles application," Applied Energy, Elsevier, vol. 219(C), pages 256-263.
    5. Farmann, Alexander & Waag, Wladislaw & Sauer, Dirk Uwe, 2016. "Application-specific electrical characterization of high power batteries with lithium titanate anodes for electric vehicles," Energy, Elsevier, vol. 112(C), pages 294-306.
    6. Huang, Deyang & Chen, Ziqiang & Zhou, Shiyao, 2021. "Model prediction-based battery-powered heating method for series-connected lithium-ion battery pack working at extremely cold temperatures," Energy, Elsevier, vol. 216(C).
    7. Bingxiang Sun & Xianjie Qi & Donglin Song & Haijun Ruan, 2023. "Review of Low-Temperature Performance, Modeling and Heating for Lithium-Ion Batteries," Energies, MDPI, vol. 16(20), pages 1-37, October.
    8. Borui Wang & Mingyin Yan, 2024. "Research on the Optimization of the Heating Effect of Lithium-Ion Batteries at a Low Temperature Based on an Electromagnetic Induction Heating System," Energies, MDPI, vol. 17(15), pages 1-25, July.
    9. Chengning Zhang & Xin Jin & Junqiu Li, 2017. "PTC Self-Heating Experiments and Thermal Modeling of Lithium-Ion Battery Pack in Electric Vehicles," Energies, MDPI, vol. 10(4), pages 1-21, April.
    10. Raijmakers, L.H.J. & Danilov, D.L. & Eichel, R.-A. & Notten, P.H.L., 2019. "A review on various temperature-indication methods for Li-ion batteries," Applied Energy, Elsevier, vol. 240(C), pages 918-945.
    11. Zhang, Yuan Ci & Briat, Olivier & Boulon, Loïc & Deletage, Jean-Yves & Martin, Cyril & Coccetti, Fabio & Vinassa, Jean-Michel, 2019. "Non-isothermal Ragone plots of Li-ion cells from datasheet and galvanostatic discharge tests," Applied Energy, Elsevier, vol. 247(C), pages 703-715.
    12. Qin, Yudi & Xu, Zhoucheng & Xiao, Shengran & Gao, Ming & Bai, Jian & Liebig, Dorothea & Lu, Languang & Han, Xuebing & Li, Yalun & Du, Jiuyu & Ouyang, Minggao, 2023. "Temperature consistency–oriented rapid heating strategy combining pulsed operation and external thermal management for lithium-ion batteries," Applied Energy, Elsevier, vol. 335(C).
    13. 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.
    14. Ruan, Haijun & Jiang, Jiuchun & Sun, Bingxiang & Zhang, Weige & Gao, Wenzhong & Wang, Le Yi & Ma, Zeyu, 2016. "A rapid low-temperature internal heating strategy with optimal frequency based on constant polarization voltage for lithium-ion batteries," Applied Energy, Elsevier, vol. 177(C), pages 771-782.
    15. Li, Junqiu & Sun, Danni & Jin, Xin & Shi, Wentong & Sun, Chao, 2019. "Lithium-ion battery overcharging thermal characteristics analysis and an impedance-based electro-thermal coupled model simulation," Applied Energy, Elsevier, vol. 254(C).
    16. Klein, M. & Tong, S. & Park, J.W., 2016. "In-plane nonuniform temperature effects on the performance of a large-format lithium-ion pouch cell," Applied Energy, Elsevier, vol. 165(C), pages 639-647.
    17. Li, Junqiu & Xue, Qiao & Gao, Zhuo & Liu, Zengcheng & Xiao, Yansheng, 2024. "Frequency varying heating strategy for lithium-ion battery rapid preheating under subzero temperature considering the limitation of on-board current," Applied Energy, Elsevier, vol. 365(C).
    18. Yan, Dongxiang & Lu, Languang & Li, Zhe & Feng, Xuning & Ouyang, Minggao & Jiang, Fachao, 2016. "Durability comparison of four different types of high-power batteries in HEV and their degradation mechanism analysis," Applied Energy, Elsevier, vol. 179(C), pages 1123-1130.
    19. Xiaoyu Li & Kai Song & Guo Wei & Rengui Lu & Chunbo Zhu, 2015. "A Novel Grouping Method for Lithium Iron Phosphate Batteries Based on a Fractional Joint Kalman Filter and a New Modified K-Means Clustering Algorithm," Energies, MDPI, vol. 8(8), pages 1-26, July.
    20. Lv, Youfu & Yang, Xiaoqing & Li, Xinxi & Zhang, Guoqing & Wang, Ziyuan & Yang, Chengzhao, 2016. "Experimental study on a novel battery thermal management technology based on low density polyethylene-enhanced composite phase change materials coupled with low fins," Applied Energy, Elsevier, vol. 178(C), pages 376-382.

    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:gam:jeners:v:16:y:2023:i:23:p:7780-:d:1288113. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.