Qianhao Yue1This email address is being protected from spambots. You need JavaScript enabled to view it., Jie Tao1, Jin Ran1,2, Aihemaitijiang Litifu3, and Zhanyong Lyu3

1School of Traffic and Transportation Engineering, Xinjiang University, Urumqi 830017, Xinjiang, China

2Xinjiang Key Laboratory of Green Construction and Smart Traffic Control of Transportation Infrastructure, Xinjiang University, Urumqi 830017, Xinjiang, China

3Xinjiang University Technology Transfer Co. Ltd., Urumqi 830000, Xinjiang, China

 

Received: March 10, 2025
Accepted: June 6, 2025
Publication Date: July 11, 2025

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202603_29(3).0014  


The performance of power batteries for electric and hybrid vehicles, as a key technology to achieve the carbon peak and carbon neutral goals, is significantly affected by temperature, and the low-temperature environment significantly reduces the charging and discharging performance of the batteries, which affects the reliability and practicability of electric vehicles. In this study, a solar-powered self-controlling temperature heating device utilizing a heat pipe is proposed. A multi-physics field non-isothermal flow coupling model is constructed using COMSOL Multiphysics software, and transient analysis is conducted to perform simulation studies on the heat pipe cornering method and the fluid material inside the heat pipe. Scoring is based on a combination of final temperature, uniformity of temperature rise, and speed of temperature rise. By comparing the performance of right-angle turning with radian turning and motor oil with ethylene glycol as heat pipe fluid materials, it is found that radian turning and ethylene glycol fluid materials are superior in heat transfer performance. This study optimizes the heat pipe model and provides new ideas and methods for research and design in the field of electric vehicle battery insulation. The simulation results provide a theoretical basis and technical support for the design and optimization of battery insulation systems in practical applications.


Keywords: Electric vehicle; Power battery; Thermal management; Heat pipe technology; COMSOL simulation


  1. [1] C. government website. New energy vehicles are a strategic choice for the high-quality development of China’s automobile industry. Accessed: 2025-06-07. 2023.
  2. [2] F. Yi, J. E, B. Zhang, H. Zuo, K. Wei, J. Chen, H. Zhu, H. Zhu, and Y. Deng, (2022) “Effects analysis on heat dissipation characteristics of lithium-ion battery thermal management system under the synergism of phase change material and liquid cooling method" Renewable Energy 181: 472–489. DOI: 10.1016/j.renene.2021.09.073.
  3. [3] L. Zhiguo, Z. Chenning, L. Junqiu, F. Guangchong, and L. Zhewei, (2013) “Research on low-temperature performance of lithium-ion batteries for electric vehicles" Automotive Engineering 35(10): 927–933. DOI: 10.19562/j.chinasae.qcgc.2013.10.014.
  4. [4] L. Rui, S. Liping, and Q. Weiwei, (2024) “Characterization of lithium battery discharge under low temperature" Journal of Power Supply 22(S1): 98–104. DOI: 10.13234/j.issn.2095-2805.2024.S1.98.
  5. [5] Y. Qin, J. Du, L. Lu, M. Gao, F. Haase, J. Li, and M. Ouyang, (2020) “A rapid lithium-ion battery heating method based on bidirectional pulsed current: Heating effect and impact on battery life" Applied Energy 280: 115957. DOI: 10.1016/j.apenergy.2020.115957.
  6. [6] J.-H. Seo, M. S. Patil, C.-P. Cho, and M.-Y. Lee, (2018) “Heat transfer characteristics of the integrated heating system for cabin and battery of an electric vehicle under cold weather conditions" International Journal of Heat and Mass Transfer 117: 80–94. DOI: 10.1016/j.ijheatmasstransfer.2017.10.007.
  7. [7] Y. Lv, X. Yang, G. Zhang, and X. Li, (2019)“Experimental research on the effective heating strategies for a phase change material based power battery module" International Journal of Heat and Mass Transfer 128: 392 400. DOI: 10.1016/j.ijheatmasstransfer.2018.07.037.
  8. [8] J. Jo, J. Kim, and S. J. Kim, (2019) “Experimental investigations of heat transfer mechanisms of a pulsating heat pipe" Energy Conversion and Management 181: 331–341. DOI: 10.1016/j.enconman.2018.12.027.
  9. [9] J. Jiang, H. Ruan, B. Sun, L. Wang, W. Gao, and W. Zhang, (2018) “A low-temperature internal heating strategy without lifetime reduction for large-size automotive lithium-ion battery pack" Applied Energy 230: 257 266. DOI: 10.1016/j.apenergy.2018.08.070.
  10. [10] D. Huang, Z. Chen, and S. Zhou, (2022) “Self-powered heating strategy for lithium-ion battery pack applied in extremely cold climates" Energy 239: 122095. DOI: 10.1016/j.energy.2021.122095.
  11. [11] C.-Y. Wang, G. Zhang, S. Ge, T. Xu, Y. Ji, X.-G. Yang, and Y. Leng, (2016) “Lithium-ion battery structure that self-heats at low temperatures" Nature 529(7587): 515 518. DOI: 10.1038/nature16502.
  12. [12] F. Cai, H. Chang, Z. Yang, C. Duan, and Z. Tu, (2022) “Arapid self-heating strategy of lithium-ion battery at low temperatures based on bidirectional pulse current without external power" Journal of Power Sources 549: 232138. DOI: 10.1016/j.jpowsour.2022.232138.
  13. [13] A. Kan, N. Zheng, W. Zhu, D. Cao, and W. Wang, (2022) “Innovation and development of vacuum insulation panels in China: A state-of-the-art review" Journal of Building Engineering 48: 103937. DOI: 10.1016/j.jobe.2021.103937.
  14. [14] Y. Bo, L. Feng, and L. Bing, (2020) “Preparation and low-temperature performance monitoring of ceramic diaphragm lithium batteries" Chinese Journal of Power Sources 44(2): 165–167, 234. DOI: 10.3969/j.issn.1002-087X.2020.02.006.
  15. [15] C. Liu, D. Xu, J. Weng, S. Zhou, W. Li, Y. Wan, S. Jiang, D. Zhou, J. Wang, and Q. Huang, (2020) “Phase Change Materials Application in Battery Thermal Management System: A Review" Materials 13(20): DOI: 10.3390/ma13204622.
  16. [16] S. Zhang, D. Feng, L. Shi, L. Wang, Y. Jin, L. Tian, Z. Li, G. Wang, L. Zhao, and Y. Yan, (2021) “A review of phase change heat transfer in shape-stabilized phase change materials (ss-PCMs) based on porous supports for thermal energy storage" Renewable and Sustainable Energy Reviews 135: 110127. DOI: 10.1016/j.rser.2020.110127.
  17. [17] Z. Chen and F. Zhang, (2024) “Numerical study of the phase change material and heating plates coupled battery thermal management in low temperature environment" Journal of Energy Storage 84: 110935. DOI: 10.1016/j.est.2024.110935.
  18. [18] G. Cheng, Z. Wang, T. Tang, and Y. He, (2024) “A novel double-layer lithium-ion battery thermal management system based on composite PCM optimized heat dissipation and preservation in cold climates" Journal of Energy Storage 85: 110992. DOI: 10.1016/j.est.2024.110992.
  19. [19] B. Xu, F. Xia, Y.-l. Wang, X. Xie, and W.-t. Gan, (2023) “A battery thermal management scheme suited for cold regions based on PCM and aerogel: Demonstration of performance and availability" Applied Thermal Engineering 227: 120378. DOI: 10.1016/j.applthermaleng.2023.120378.
  20. [20] S. Yuantao, W. Yunlong, Z. Rongfu, Z. Desheng, and Z. Qian, (2022) “Research on thermal management system insulation device for automobile power battery in cold area" Internal Combustion Engine & Parts (12): 4–6. DOI: 10.19475/j.cnki.issn1674-957x.2022.12.038.
  21. [21] Y. Ma, H. Ding, Y. Liu, and J. Gao, (2022) “Battery thermal management of intelligent-connected electric vehicles at low temperature based on NMPC" Energy 244: 122571. DOI: 10.1016/j.energy.2021.122571.
  22. [22] K. Li, H. Chen, S. Hou, L. Eriksson, and J. Gao, (2023) “A novel engine and battery coupled thermal management strategy for connected HEVs based on switched model predictive control under low temperature" Energy 278: 127726. DOI: 10.1016/j.energy.2023.127726.
  23. [23] D. Dan, C. Yao, Y. Zhang, Y. Qian, and W. Zhuge, (2019) “Research progress and future prospects of battery thermal management system based on heat pipe technology" Chinese Science Bulletin 64(7): 682–693. DOI: 10.1360/N972018-00948.
  24. [24] M. Hashimoto, Y. Akizuki, K. Sato, A. Ueno, and H. Nagano, (2022) “Proposal, transient model, and experimental verification of loop heat pipe as heating device for electric-vehicle batteries" Applied Thermal Engineering 211: 118432. DOI: 10.1016/j.applthermaleng.2022.118432.
  25. [25] M. Chen and J. Li, (2021) “Experimental study on heating performance of pure electric vehicle power battery under low temperature environment" International Journal of Heat and Mass Transfer 172: 121191. DOI: 10.1016/j.ijheatmasstransfer.2021.121191.
  26. [26] D. M. Weragoda, G. Tian, A. Burkitbayev, K.-H. Lo, and T. Zhang, (2023) “A comprehensive review on heat pipe based battery thermal management systems" Ap plied Thermal Engineering 224: 120070. DOI: 10.1016/j.applthermaleng.2023.120070.
  27. [27] Z. Guo, Q. Xu, Y. Wang, T. Zhao, and M. Ni, (2023) “Battery thermal management system with heat pipe considering battery aging effect" Energy 263: 126116. DOI: 10.1016/j.energy.2022.126116.
  28. [28] A. M. Fathoni, N. Putra, and T. I. Mahlia, (2023) “A systematic review of battery thermal management systems based on heat pipes" Journal of Energy Storage 73: 109081. DOI: 10.1016/j.est.2023.109081.
  29. [29] M. Slobodeniuk, R. Bertossi, V. Ayel, R. Ravichandran, K. Thyagarajan, C. Romestant, and Y. Bertin, (2022) “Experimental study of the flat plate pulsating heat pipe operation during dry-out and flow re-activation periods under microgravity conditions" International Journal of Multiphase Flow 147: 103888. DOI: 10.1016/j.ijmultiphaseflow.2021.103888.
  30. [30] S. Rudresha, E. Babu, and R. Thejaraju, (2023) “Experimental investigation and influence of filling ratio on heat transfer performance of a pulsating heat pipe" Thermal Science and Engineering Progress 38: 101649. DOI: 10.1016/j.tsep.2023.101649.

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