IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i13p5040-d1182535.html
   My bibliography  Save this article

Flow Loss Analysis and Structural Optimization of Multiway Valves for Integrated Thermal Management Systems in Electric Vehicles

Author

Listed:
  • Meng Li

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Siyu Zheng

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Mingshan Wei

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

Abstract

The multiway valve is the core component of the integrated thermal management system in an electric vehicle, and its heat transfer loss and pressure loss significantly impact the performance of the whole thermal management system. In this paper, heat transfer loss and pressure loss in multiway valves are investigated using three-dimensional unsteady numerical simulations. Heat transfer loss and pressure loss under different operating modes are revealed, and relationships between pressure loss and mass flow rate, inlet temperature, and valve materials are studied. The results show that the significant temperature gradient around the control shaft results in heat transfer loss and pressure loss mainly occurs around the junction of the control shaft and the shell, where the flow direction changes sharply. The pressure loss is nonlinearly and positively correlated with the mass flow rate. Furthermore, the main geometric parameters of the pipeline and the control shaft are optimized. The pressure loss firstly increases and then decreases, with the increasing curvature of the inner walls of the pipe corners in four flow channels. Compared with the structural optimization at the pipe corners, increasing the curvature of the inner wall of the control shaft and the shell corners reduces pressure loss continuously. Moreover, this study obtains an optimal structure with minimum pressure loss using coupled structure optimization at the control shaft and shell corners.

Suggested Citation

  • Meng Li & Siyu Zheng & Mingshan Wei, 2023. "Flow Loss Analysis and Structural Optimization of Multiway Valves for Integrated Thermal Management Systems in Electric Vehicles," Energies, MDPI, vol. 16(13), pages 1-22, June.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5040-:d:1182535
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/13/5040/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/13/5040/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhao, Yihang & Dan, Dan & Zheng, Siyu & Wei, Mingshan & Xie, Yi, 2023. "A two-stage eco-cooling control strategy for electric vehicle thermal management system considering multi-source information fusion," Energy, Elsevier, vol. 267(C).
    2. Ma, Jing & Sun, Yongfei & Zhang, Shiang, 2023. "Experimental investigation on energy consumption of power battery integrated thermal management system," Energy, Elsevier, vol. 270(C).
    3. Zhang, Zhi & Sun, Baojiang & Wang, Zhiyuan & Mu, Xiaojie & Sun, Dalin, 2023. "Multiphase throttling characteristic analysis and structure optimization design of throttling valve in managed pressure drilling," Energy, Elsevier, vol. 262(PB).
    4. Dan Dan & Yihang Zhao & Mingshan Wei & Xuehui Wang, 2023. "Review of Thermal Management Technology for Electric Vehicles," Energies, MDPI, vol. 16(12), pages 1-38, June.
    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. Jixian Sun & Dan Dan & Mingshan Wei & Senlin Cai & Yihang Zhao & Edward Wright, 2023. "Pack-Level Modeling and Thermal Analysis of a Battery Thermal Management System with Phase Change Materials and Liquid Cooling," Energies, MDPI, vol. 16(15), pages 1-16, August.

    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. Jixian Sun & Dan Dan & Mingshan Wei & Senlin Cai & Yihang Zhao & Edward Wright, 2023. "Pack-Level Modeling and Thermal Analysis of a Battery Thermal Management System with Phase Change Materials and Liquid Cooling," Energies, MDPI, vol. 16(15), pages 1-16, August.
    2. Arti Aniqa Tabassum & Haeng Muk Cho & Md. Iqbal Mahmud, 2024. "Essential Features and Torque Minimization Techniques for Brushless Direct Current Motor Controllers in Electric Vehicles," Energies, MDPI, vol. 17(18), pages 1-27, September.
    3. Arianna Tiozzo & Andrea Bertinetti & Alessio Tommasi & Giovanna Nicol & Riccardo Rocca & Sawako Nakamae & Blanca E. Torres Bautista & Sabrina Campagna Zignani & Edith Laux & Sebastien Fantini & Mauro , 2023. "From Academia to Industry: Criteria for Upscaling Ionic Liquid-Based Thermo-Electrochemical Cells for Large-Scale Applications," Energies, MDPI, vol. 17(1), pages 1-12, December.
    4. 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).
    5. Ju Yeong Kwon & Jung Kyung Kim & Hyunjin Lee & Dongchan Lee & Da Young Ju, 2023. "A Comprehensive Overview of Basic Research on Human Thermal Management in Future Mobility: Considerations, Challenges, and Methods," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    6. Dan Dan & Yihang Zhao & Mingshan Wei & Xuehui Wang, 2023. "Review of Thermal Management Technology for Electric Vehicles," Energies, MDPI, vol. 16(12), pages 1-38, June.
    7. Xu, Dongxin & Pan, Yongjun & Zhang, Xiaoxi & Dai, Wei & Liu, Binghe & Shuai, Qi, 2024. "Data-driven modelling and evaluation of a battery-pack system’s mechanical safety against bottom cone impact," Energy, Elsevier, vol. 290(C).
    8. Yihang Zhao & Mingshan Wei & Dan Dan, 2024. "Modeling, Design, and Optimization of Loop Heat Pipes," Energies, MDPI, vol. 17(16), pages 1-40, August.
    9. Li, Haoyang & Lu, Hanan & Li, Qiushi, 2024. "Numerical investigations of the influences of valve spool structure on the eccentric jet flow characteristic in high-pressure angle valves," Energy, Elsevier, vol. 298(C).
    10. Wenjun Zhang & Jiangyun Zhang & Guoqing Zhang & Yanxin Hu & Dan Shao & Liqin Jiang & Yuliang Wen, 2024. "A Novel Leak-Proof Thermal Conduction Slot Battery Thermal Management System Coupled with Phase Change Materials and Liquid-Cooling Strategies," Energies, MDPI, vol. 17(4), pages 1-24, February.
    11. Gökhan Sevilgen & Harun Dursun & Muhsin Kılıç, 2023. "Experimental and Numerical Investigations on the Thermal Performance of Three Different Cold Plates Designed for the Electrical Vehicle Battery Module," Sustainability, MDPI, vol. 15(19), pages 1-20, September.

    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:13:p:5040-:d:1182535. 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.