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Heat dissipation investigation of the power lithium-ion battery module based on orthogonal experiment design and fuzzy grey relation analysis

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  • E, Jiaqiang
  • Zeng, Yan
  • Jin, Yu
  • Zhang, Bin
  • Huang, Zhonghua
  • Wei, Kexiang
  • Chen, Jingwei
  • Zhu, Hao
  • Deng, Yuanwang

Abstract

In this work, the physical and mathematical models for a battery module with sixteen lithium-ion batteries are established under different arrangement modes based on the climate in the central and southern region, the heat dissipation characteristics are investigated under different ventilation schemes, and the best cell arrangement structure and ventilation scheme are obtained. Then, the influence of four parameters (inlet airflow velocity, air inlet radius, inlet and outlet eccentricity, and air vent area ratio) of selected optimal forced air-cooled model on heat dissipation performance of battery module is analyzed based on the combination of orthogonal experiment design method and fuzzy grey relation theory. The results show that 4 × 4 battery arrangement is superior to 2 × 8 arrangement, straight arrangement is better than staggered arrangement, and ventilation scheme (air inlet is on the upper surface and air outlet is on the lower surface) is of the best heat dissipation performance among all ventilation schemes. Moreover, air vent area ratio, eccentricity and the inlet airflow velocity have the most significant effect on average temperature, temperature difference and heat conduction coefficient of power lithium-ion battery pack, respectively. This work will provide great reference values for cooling performance enhancement of the power lithium-ion battery pack.

Suggested Citation

  • E, Jiaqiang & Zeng, Yan & Jin, Yu & Zhang, Bin & Huang, Zhonghua & Wei, Kexiang & Chen, Jingwei & Zhu, Hao & Deng, Yuanwang, 2020. "Heat dissipation investigation of the power lithium-ion battery module based on orthogonal experiment design and fuzzy grey relation analysis," Energy, Elsevier, vol. 211(C).
    • Handle: RePEc:eee:energy:v:211:y:2020:i:c:s0360544220317047
    DOI: 10.1016/j.energy.2020.118596
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    as
    1. E, Jiaqiang & Zhao, Xiaohuan & Liu, Guanlin & Zhang, Bin & Zuo, Qingsong & Wei, Kexiang & Li, Hongmei & Han, Dandan & Gong, Jinke, 2019. "Effects analysis on optimal microwave energy consumption in the heating process of composite regeneration for the diesel particulate filter," Applied Energy, Elsevier, vol. 254(C).
    2. Wang, Xiaoming & Xie, Yongqi & Day, Rodney & Wu, Hongwei & Hu, Zhongliang & Zhu, Jianqin & Wen, Dongsheng, 2018. "Performance analysis of a novel thermal management system with composite phase change material for a lithium-ion battery pack," Energy, Elsevier, vol. 156(C), pages 154-168.
    3. Ling, Ziye & Chen, Jiajie & Fang, Xiaoming & Zhang, Zhengguo & Xu, Tao & Gao, Xuenong & Wang, Shuangfeng, 2014. "Experimental and numerical investigation of the application of phase change materials in a simulative power batteries thermal management system," Applied Energy, Elsevier, vol. 121(C), pages 104-113.
    4. Saw, Lip Huat & Ye, Yonghuang & Tay, Andrew A.O. & Chong, Wen Tong & Kuan, Seng How & Yew, Ming Chian, 2016. "Computational fluid dynamic and thermal analysis of Lithium-ion battery pack with air cooling," Applied Energy, Elsevier, vol. 177(C), pages 783-792.
    5. Shah, K. & McKee, C. & Chalise, D. & Jain, A., 2016. "Experimental and numerical investigation of core cooling of Li-ion cells using heat pipes," Energy, Elsevier, vol. 113(C), pages 852-860.
    6. Chen, Kai & Wu, Weixiong & Yuan, Fang & Chen, Lin & Wang, Shuangfeng, 2019. "Cooling efficiency improvement of air-cooled battery thermal management system through designing the flow pattern," Energy, Elsevier, vol. 167(C), pages 781-790.
    7. 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.
    8. Hu, Lin & Hu, Xiaosong & Che, Yunhong & Feng, Fei & Lin, Xianke & Zhang, Zhiyong, 2020. "Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering," Applied Energy, Elsevier, vol. 262(C).
    9. Zhao, Xiaohuan & E, Jiaqiang & Zhang, Zhiqing & Chen, Jingwei & Liao, Gaoliang & Zhang, Feng & Leng, Erwei & Han, Dandan & Hu, Wenyu, 2020. "A review on heat enhancement in thermal energy conversion and management using Field Synergy Principle," Applied Energy, Elsevier, vol. 257(C).
    10. Amjad, Shaik & Neelakrishnan, S. & Rudramoorthy, R., 2010. "Review of design considerations and technological challenges for successful development and deployment of plug-in hybrid electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1104-1110, April.
    11. Menale, Carla & D'Annibale, Francesco & Mazzarotta, Barbara & Bubbico, Roberto, 2019. "Thermal management of lithium-ion batteries: An experimental investigation," Energy, Elsevier, vol. 182(C), pages 57-71.
    12. Zhang, Xiliang & Karplus, Valerie J. & Qi, Tianyu & Zhang, Da & He, Jiankun, 2016. "Carbon emissions in China: How far can new efforts bend the curve?," Energy Economics, Elsevier, vol. 54(C), pages 388-395.
    13. Sadaei, Hossein Javedani & de Lima e Silva, Petrônio Cândido & Guimarães, Frederico Gadelha & Lee, Muhammad Hisyam, 2019. "Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series," Energy, Elsevier, vol. 175(C), pages 365-377.
    14. Qian Zhang & Xunmin Ou & Xiaoyu Yan & Xiliang Zhang, 2017. "Electric Vehicle Market Penetration and Impacts on Energy Consumption and CO 2 Emission in the Future: Beijing Case," Energies, MDPI, vol. 10(2), pages 1-15, February.
    15. Wang, Hailin & Ou, Xunmin & Zhang, Xiliang, 2017. "Mode, technology, energy consumption, and resulting CO2 emissions in China's transport sector up to 2050," Energy Policy, Elsevier, vol. 109(C), pages 719-733.
    16. Wu, Yunna & Jia, Weibing & Li, Lingwenying & Song, Zixin & Xu, Chuanbo & Liu, Fangtong, 2019. "Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation," Energy, Elsevier, vol. 182(C), pages 397-411.
    17. Vidadili, Nurtaj & Suleymanov, Elchin & Bulut, Cihan & Mahmudlu, Ceyhun, 2017. "Transition to renewable energy and sustainable energy development in Azerbaijan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1153-1161.
    18. Luo, Xiaohu & Caron, Justin & Karplus, Valerie J. & Zhang, Da & Zhang, Xiliang, 2016. "Interprovincial migration and the stringency of energy policy in China," Energy Economics, Elsevier, vol. 58(C), pages 164-173.
    19. Su, Laisuo & Zhang, Jianbo & Wang, Caijuan & Zhang, Yakun & Li, Zhe & Song, Yang & Jin, Ting & Ma, Zhao, 2016. "Identifying main factors of capacity fading in lithium ion cells using orthogonal design of experiments," Applied Energy, Elsevier, vol. 163(C), pages 201-210.
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    3. E, Shengxin & Cui, Yaxin & Liu, Yuxian & Yin, Huichun, 2023. "Effects of the different phase change materials on heat dissipation performances of the ternary polymer Li-ion battery pack in hot climate," Energy, Elsevier, vol. 282(C).
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    7. Zuo, Hongyan & Zhang, Bin & Huang, Zhonghua & Wei, Kexiang & Zhu, Hong & Tan, Jiqiu, 2022. "Effect analysis on SOC values of the power lithium manganate battery during discharging process and its intelligent estimation," Energy, Elsevier, vol. 238(PB).
    8. 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).
    9. Feng, Fei & Yang, Rui & Meng, Jinhao & Xie, Yi & Zhang, Zhiguo & Chai, Yi & Mou, Lisha, 2022. "Electrochemical impedance characteristics at various conditions for commercial solid–liquid electrolyte lithium-ion batteries: Part. 2. Modeling and prediction," Energy, Elsevier, vol. 243(C).
    10. Morali, Ugur, 2022. "A numerical and statistical implementation of a thermal model for a lithium-ion battery," Energy, Elsevier, vol. 240(C).
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