IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i4p1421-d750186.html
   My bibliography  Save this article

Design and Optimization of a Novel Microchannel Battery Thermal Management System Based on Digital Twin

Author

Listed:
  • Ziming Xu

    (State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    Shaanxi Key Laboratory of Intelligent Robots, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    These authors contributed equally to this work.)

  • Jun Xu

    (State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    Shaanxi Key Laboratory of Intelligent Robots, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    These authors contributed equally to this work.)

  • Zhechen Guo

    (State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    Shaanxi Key Laboratory of Intelligent Robots, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Haitao Wang

    (State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    Shaanxi Key Laboratory of Intelligent Robots, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Zheng Sun

    (State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    Shaanxi Key Laboratory of Intelligent Robots, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Xuesong Mei

    (State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    Shaanxi Key Laboratory of Intelligent Robots, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

In order to avoid high-temperature and large rate discharge impact on the performance of battery modules, a microchannel liquid cooling battery thermal management system (BTMS) and BTMS virtual model of the microchannel structure based on digital twin (DT) is proposed. On the basis of accurate virtual simulation model, the computational fluid dynamics (CFD) model and the Gaussian process regression algorithm were combined to drive the optimization process in order to improve the cooling capacity of the system. The results show that the microchannel plates can greatly enhance the cooling capacity of the direct cooling system and effectively improve the uniformity of the coolant. The width of the microchannel plates and the side spacing actually represent the amount of coolant flowing through the inside and outside of the battery module, which significantly impacts the maximum temperature and maximum temperature difference. Increasing the coolant flow can only effectively improve the cooling capacity of the module to a limited extent. Gaussian process regression based on the DT virtual model is more suitable for analyzing the interaction between multiple factors and obtaining global optimization results. After optimization, the maximum temperature and the maximum temperature difference of the system are reduced by 4.02 °C and 5.05 °C, respectively. The proposed structure and method are expected to provide insights into the design and development of battery thermal management systems.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1421-:d:750186
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/4/1421/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/4/1421/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Kai & Song, Mengxuan & Wei, Wei & Wang, Shuangfeng, 2018. "Structure optimization of parallel air-cooled battery thermal management system with U-type flow for cooling efficiency improvement," Energy, Elsevier, vol. 145(C), pages 603-613.
    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. Jiang, Yihui & Xu, Jun & Hou, Wenlong & Mei, Xuesong, 2021. "A stack pressure based equivalent mechanical model of lithium-ion pouch batteries," Energy, Elsevier, vol. 221(C).
    4. Akinlabi, A.A. Hakeem & Solyali, Davut, 2020. "Configuration, design, and optimization of air-cooled battery thermal management system for electric vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    5. 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.
    6. Mali, Vima & Saxena, Rajat & Kumar, Kundan & Kalam, Abul & Tripathi, Brijesh, 2021. "Review on battery thermal management systems for energy-efficient electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    7. Jilte, Ravindra & Afzal, Asif & Panchal, Satyam, 2021. "A novel battery thermal management system using nano-enhanced phase change materials," Energy, Elsevier, vol. 219(C).
    8. Wu, Weixiong & Yang, Xiaoqing & Zhang, Guoqing & Ke, Xiufang & Wang, Ziyuan & Situ, Wenfu & Li, Xinxi & Zhang, Jiangyun, 2016. "An experimental study of thermal management system using copper mesh-enhanced composite phase change materials for power battery pack," Energy, Elsevier, vol. 113(C), pages 909-916.
    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. Junhao Dong & Xipo Lu & Yang Sun & Vladislav Mitin & Huaping Xu & Wei Kong, 2022. "Design of Battery Thermal Management System with Considering the Longitudinal and Transverse Temperature Difference," Energies, MDPI, vol. 15(19), pages 1-13, October.
    2. Semeraro, Concetta & Aljaghoub, Haya & Abdelkareem, Mohammad Ali & Alami, Abdul Hai & Olabi, A.G., 2023. "Digital twin in battery energy storage systems: Trends and gaps detection through association rule mining," Energy, Elsevier, vol. 273(C).
    3. Szabolcs Kocsis Szürke & Mátyás Szabó & Szabolcs Szalai & Szabolcs Fischer, 2024. "Deformation Analysis of Different Lithium Battery Designs Using the DIC Technique," Energies, MDPI, vol. 17(2), pages 1-23, January.
    4. Naseri, F. & Gil, S. & Barbu, C. & Cetkin, E. & Yarimca, G. & Jensen, A.C. & Larsen, P.G. & Gomes, C., 2023. "Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    5. Nataliia Shamarova & Konstantin Suslov & Pavel Ilyushin & Ilia Shushpanov, 2022. "Review of Battery Energy Storage Systems Modeling in Microgrids with Renewables Considering Battery Degradation," Energies, MDPI, vol. 15(19), pages 1-18, September.
    6. Semeraro, Concetta & Aljaghoub, Haya & Abdelkareem, Mohammad Ali & Alami, Abdul Hai & Dassisti, Michele & Olabi, A.G., 2023. "Guidelines for designing a digital twin for Li-ion battery: A reference methodology," Energy, Elsevier, vol. 284(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. Shen, Zu-Guo & Chen, Shuai & Liu, Xun & Chen, Ben, 2021. "A review on thermal management performance enhancement of phase change materials for vehicle lithium-ion batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(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. Lalan K. Singh & Anoop K. Gupta, 2023. "Hybrid cooling-based lithium-ion battery thermal management for electric vehicles," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3627-3648, April.
    4. Chuanwei Zhang & Zhan Xia & Huaibin Gao & Jianping Wen & Shangrui Chen & Meng Dang & Sujing Gu & Jianing Zhang, 2020. "A Coolant Circulation Cooling System Combining Aluminum Plates and Copper Rods for Li-Ion Battery Pack," Energies, MDPI, vol. 13(17), pages 1-14, August.
    5. Li, Yuming & Wang, Tingyu & Li, Xinxi & Zhang, Guoqing & Chen, Kai & Yang, Wensheng, 2022. "Experimental investigation on thermal management system with flame retardant flexible phase change material for retired battery module," Applied Energy, Elsevier, vol. 327(C).
    6. Rajib Mahamud & Chanwoo Park, 2022. "Theory and Practices of Li-Ion Battery Thermal Management for Electric and Hybrid Electric Vehicles," Energies, MDPI, vol. 15(11), pages 1-45, May.
    7. Lin, Xiang-Wei & Li, Yu-Bai & Wu, Wei-Tao & Zhou, Zhi-Fu & Chen, Bin, 2024. "Advances on two-phase heat transfer for lithium-ion battery thermal management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    8. Zichen, Wang & Changqing, Du, 2021. "A comprehensive review on thermal management systems for power lithium-ion batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    9. 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.
    10. Guo, Chao & Liu, Huan-ling & Guo, Qi & Shao, Xiao-dong & Zhu, Ming-liang, 2022. "Investigations on a novel cold plate achieved by topology optimization for lithium-ion batteries," Energy, Elsevier, vol. 261(PA).
    11. Bogdan Diaconu & Mihai Cruceru & Lucica Anghelescu & Cristinel Racoceanu & Cristinel Popescu & Marian Ionescu & Adriana Tudorache, 2023. "Latent Heat Storage Systems for Thermal Management of Electric Vehicle Batteries: Thermal Performance Enhancement and Modulation of the Phase Transition Process Dynamics: A Literature Review," Energies, MDPI, vol. 16(6), pages 1-46, March.
    12. Yang, Huizhu & Li, Mingxuan & Wang, Zehui & Ma, Binjian, 2023. "A compact and lightweight hybrid liquid cooling system coupling with Z-type cold plates and PCM composite for battery thermal management," Energy, Elsevier, vol. 263(PE).
    13. Md. Sazal Miah & Molla Shahadat Hossain Lipu & Sheikh Tanzim Meraj & Kamrul Hasan & Shaheer Ansari & Taskin Jamal & Hasan Masrur & Rajvikram Madurai Elavarasan & Aini Hussain, 2021. "Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends," Sustainability, MDPI, vol. 13(22), pages 1-38, November.
    14. Wu, Yue & Huang, Zhiwu & Li, Dongjun & Li, Heng & Peng, Jun & Stroe, Daniel & Song, Ziyou, 2024. "Optimal battery thermal management for electric vehicles with battery degradation minimization," Applied Energy, Elsevier, vol. 353(PA).
    15. Kang, Zhuang & Peng, Qingguo & Yin, Ruixue & Yao, Zhengmin & Song, Yangyang & He, Biao, 2024. "Investigation of multifactorial effects on the thermal performance of battery pack inserted with multi-layer phase change materials," Energy, Elsevier, vol. 290(C).
    16. Wu, Nan & Ye, Xiaolin & Li, Junjie & Lin, Boshen & Zhou, Xuelong & Yu, Bin, 2021. "Passive thermal management systems employing hydrogel for the large-format lithium-ion cell: A systematic study," Energy, Elsevier, vol. 231(C).
    17. Situ, Wenfu & Zhang, Guoqing & Li, Xinxi & Yang, Xiaoqing & Wei, Chao & Rao, Mumin & Wang, Ziyuan & Wang, Cong & Wu, Weixiong, 2017. "A thermal management system for rectangular LiFePO4 battery module using novel double copper mesh-enhanced phase change material plates," Energy, Elsevier, vol. 141(C), pages 613-623.
    18. Giorgio Previati & Giampiero Mastinu & Massimiliano Gobbi, 2022. "Thermal Management of Electrified Vehicles—A Review," Energies, MDPI, vol. 15(4), pages 1-29, February.
    19. Miranda, D. & Costa, C.M. & Almeida, A.M. & Lanceros-Méndez, S., 2018. "Computer simulation of the influence of thermal conditions on the performance of conventional and unconventional lithium-ion battery geometries," Energy, Elsevier, vol. 149(C), pages 262-278.
    20. Akinlabi, A.A. Hakeem & Solyali, Davut, 2020. "Configuration, design, and optimization of air-cooled battery thermal management system for electric vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).

    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:15:y:2022:i:4:p:1421-:d:750186. 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.