IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i2p750-d1029538.html
   My bibliography  Save this article

Investigation and Optimization of Fast Cold Start of 18650 Lithium-Ion Cell by Heating Film-Based Heating Method

Author

Listed:
  • Heng Huang

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116023, China)

  • Zhifu Zhou

    (State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Linsong Gao

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116023, China)

  • Yang Li

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116023, China)

  • Xinyu Liu

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116023, China)

  • Zheng Huang

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116023, China)

  • Yubai Li

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116023, China)

  • Yongchen Song

    (Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116023, China)

Abstract

In this paper, based on the multi-scale multi-domain (MSMD) battery modeling approach, the NTGK model was used to model the 18650 cylindrical lithium-ion single battery on the electrochemical sub-scale. The model was successful, as it was able to fit the experimental voltage and temperature of the battery at different temperatures. Lithium-ion battery discharge capacity and energy output can be improved during cold starting by preheating and insulation, as demonstrated by a comparison of the impacts of heat transfer coefficient and preheating duration at −20 °C ambient temperature. For the traditional heating method, the heating model of heating film (HF) and liquid-cooled plate (LCP) is constructed in this paper, and the heating performance of both is compared by Fluent. Analysis of the energy balance of Li-ion battery at low temperatures has been presented, showing that Li-ion battery requires a suitable start-up temperature to maximize energy output. Taking care of the problem of excessive temperature difference inside the battery due to excessive heating power, we investigated the effects of axial thermal conductivity, heating power, and heating area on the heating uniformity of the battery in this paper. Finally, a multi-stage stepped power (MSP) heating method was proposed to improve the temperature control accuracy of HF. A level orthogonal test L 16 (4 3 ) without interaction was designed to determine the degree of influence of each parameter on the temperature control performance and the optimal level combination, revealing that the optimized maximum temperature and temperature control rate were reduced by 4.09% and 40.53%, respectively, when compared to direct heating.

Suggested Citation

  • Heng Huang & Zhifu Zhou & Linsong Gao & Yang Li & Xinyu Liu & Zheng Huang & Yubai Li & Yongchen Song, 2023. "Investigation and Optimization of Fast Cold Start of 18650 Lithium-Ion Cell by Heating Film-Based Heating Method," Energies, MDPI, vol. 16(2), pages 1-26, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:750-:d:1029538
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/2/750/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/2/750/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Jun-qiu & Fang, Linlin & Shi, Wentong & Jin, Xin, 2018. "Layered thermal model with sinusoidal alternate current for cylindrical lithium-ion battery at low temperature," Energy, Elsevier, vol. 148(C), pages 247-257.
    2. Mahesh Suresh Patil & Satyam Panchal & Namwon Kim & Moo-Yeon Lee, 2018. "Cooling Performance Characteristics of 20 Ah Lithium-Ion Pouch Cell with Cold Plates along Both Surfaces," Energies, MDPI, vol. 11(10), pages 1-19, September.
    3. Wei Li & Shusheng Xiong & Xiaojun Zhou & Wei Shi & Chongming Wang & Xianke Lin & Junjie Cheng, 2021. "Design of Cylindrical Thermal Dummy Cell for Development of Lithium-Ion Battery Thermal Management System," Energies, MDPI, vol. 14(5), pages 1-16, March.
    4. Yang Li & Zhifu Zhou & Jian Zhao & Liang Hao & Minli Bai & Yulong Li & Xuanyu Liu & Yubai Li & Yongchen Song, 2021. "Three-Dimensional Thermal Simulations of 18650 Lithium-Ion Batteries Cooled by Different Schemes under High Rate Discharging and External Shorting Conditions," Energies, MDPI, vol. 14(21), pages 1-20, October.
    5. Chao-Yang Wang & Teng Liu & Xiao-Guang Yang & Shanhai Ge & Nathaniel V. Stanley & Eric S. Rountree & Yongjun Leng & Brian D. McCarthy, 2022. "Fast charging of energy-dense lithium-ion batteries," Nature, Nature, vol. 611(7936), pages 485-490, November.
    6. Saw, Lip Huat & Poon, Hiew Mun & Thiam, Hui San & Cai, Zuansi & Chong, Wen Tong & Pambudi, Nugroho Agung & King, Yeong Jin, 2018. "Novel thermal management system using mist cooling for lithium-ion battery packs," Applied Energy, Elsevier, vol. 223(C), pages 146-158.
    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. Yang, Yang & Yuan, Wei & Zhang, Xiaoqing & Yuan, Yuhang & Wang, Chun & Ye, Yintong & Huang, Yao & Qiu, Zhiqiang & Tang, Yong, 2020. "Overview on the applications of three-dimensional printing for rechargeable lithium-ion batteries," Applied Energy, Elsevier, vol. 257(C).
    2. Lin, Yuan-Qing & Wu, Chun-Mei & Li, You-Rong, 2023. "Experimental investigation on the effect of vapor environment on the pattern evolutions during sessile water droplet evaporation at low pressures," Applied Energy, Elsevier, vol. 331(C).
    3. Liu, Tong & Tao, Changfa & Wang, Xishi, 2020. "Cooling control effect of water mist on thermal runaway propagation in lithium ion battery modules," Applied Energy, Elsevier, vol. 267(C).
    4. Danijel Pavković & Mihael Cipek & Zdenko Kljaić & Tomislav Josip Mlinarić & Mario Hrgetić & Davor Zorc, 2018. "Damping Optimum-Based Design of Control Strategy Suitable for Battery/Ultracapacitor Electric Vehicles," Energies, MDPI, vol. 11(10), pages 1-26, October.
    5. 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).
    6. Akash Samanta & Sheldon S. Williamson, 2021. "A Comprehensive Review of Lithium-Ion Cell Temperature Estimation Techniques Applicable to Health-Conscious Fast Charging and Smart Battery Management Systems," Energies, MDPI, vol. 14(18), pages 1-25, September.
    7. Cynthia Thamires da Silva & Bruno Martin de Alcântara Dias & Rui Esteves Araújo & Eduardo Lorenzetti Pellini & Armando Antônio Maria Laganá, 2023. "Two-Outputs Nonlinear Grey Box Model for Lithium-Ion Batteries," Energies, MDPI, vol. 16(5), pages 1-15, February.
    8. Gandoman, Foad H. & Jaguemont, Joris & Goutam, Shovon & Gopalakrishnan, Rahul & Firouz, Yousef & Kalogiannis, Theodoros & Omar, Noshin & Van Mierlo, Joeri, 2019. "Concept of reliability and safety assessment of lithium-ion batteries in electric vehicles: Basics, progress, and challenges," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    9. Xu, Xinhai & Li, Wenzheng & Xu, Ben & Qin, Jiang, 2019. "Numerical study on a water cooling system for prismatic LiFePO4 batteries at abused operating conditions," Applied Energy, Elsevier, vol. 250(C), pages 404-412.
    10. Liang, Lin & Zhao, Yaohua & Diao, Yanhua & Ren, Ruyang & Zhu, Tingting & Li, Yan, 2023. "Experimental investigation of preheating performance of lithium-ion battery modules in electric vehicles enhanced by bending flat micro heat pipe array," Applied Energy, Elsevier, vol. 337(C).
    11. 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).
    12. Yetik, Ozge & Karakoc, Tahir Hikmet, 2020. "A numerical study on the thermal performance of prismatic li-ion batteries for hibrid electric aircraft," Energy, Elsevier, vol. 195(C).
    13. Gang Zhao & Xiaolin Wang & Michael Negnevitsky & Hengyun Zhang & Chengjiang Li, 2022. "Performance Improvement of a Novel Trapezoid Air-Cooling Battery Thermal Management System for Electric Vehicles," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    14. Li, Changlong & Cui, Naxin & Chang, Long & Cui, Zhongrui & Yuan, Haitao & Zhang, Chenghui, 2022. "Effect of parallel connection topology on air-cooled lithium-ion battery module: Inconsistency analysis and comprehensive evaluation," Applied Energy, Elsevier, vol. 313(C).
    15. Guo, Shanshan & Yang, Ruixin & Shen, Weixiang & Liu, Yongsheng & Guo, Shenggang, 2022. "DC-AC hybrid rapid heating method for lithium-ion batteries at high state of charge operated from low temperatures," Energy, Elsevier, vol. 238(PB).
    16. Liu, Yuanzhi & Zhang, Jie, 2020. "Self-adapting J-type air-based battery thermal management system via model predictive control," Applied Energy, Elsevier, vol. 263(C).
    17. Xingxing Wang & Shengren Liu & Yujie Zhang & Shuaishuai Lv & Hongjun Ni & Yelin Deng & Yinnan Yuan, 2022. "A Review of the Power Battery Thermal Management System with Different Cooling, Heating and Coupling System," Energies, MDPI, vol. 15(6), pages 1-29, March.
    18. Satyam Panchal & Krishna Gudlanarva & Manh-Kien Tran & Roydon Fraser & Michael Fowler, 2020. "High Reynold’s Number Turbulent Model for Micro-Channel Cold Plate Using Reverse Engineering Approach for Water-Cooled Battery in Electric Vehicles," Energies, MDPI, vol. 13(7), pages 1-25, April.
    19. Jinsong Yu & Jie Yang & Diyin Tang & Jing Dai, 2018. "An Optimal Burn-In Policy for Cellular Phone Lithium-Ion Batteries Using a Feature Selection Strategy and Relevance Vector Machine," Energies, MDPI, vol. 11(11), pages 1-19, November.
    20. Ziming Xu & Jun Xu & Zhechen Guo & Haitao Wang & Zheng Sun & Xuesong Mei, 2022. "Design and Optimization of a Novel Microchannel Battery Thermal Management System Based on Digital Twin," Energies, MDPI, vol. 15(4), pages 1-20, February.

    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:2:p:750-:d:1029538. 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.