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Analysis of Low Temperature Preheating Effect Based on Battery Temperature-Rise Model

Author

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  • Xiaogang Wu

    (College of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin 150000, China
    State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

  • Zhe Chen

    (College of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin 150000, China)

  • Zhiyang Wang

    (College of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin 150000, China)

Abstract

It is difficult to predict the heating time and power consumption associated with the self-heating process of lithium-ion batteries at low temperatures. A temperature-rise model considering the dynamic changes in battery temperature and state of charge is thus proposed. When this model is combined with the ampere-hour integral method, the quantitative relationship among the discharge rate, heating time, and power consumption, during the constant-current discharge process in an internally self-heating battery, is realized. Results show that the temperature-rise model can accurately reflect actual changes in battery temperature. The results indicate that the discharge rate and the heating time present an exponential decreasing trend that is similar to the discharge rate and the power consumption. When a 2 C discharge rate is selected, the battery temperature can rise from −10 °C to 5 °C in 280 s. In this scenario, power consumption of the heating process does not exceed 15% of the rated capacity. As the discharge rate gradually reduced, the heating time and power consumption of the heating process increase slowly. When the discharge rate is 1 C, the heating time is more than 1080 s and the power consumption approaches 30% of the rated capacity. The effect of discharge rate on the heating time and power consumption during the heating process is significantly enhanced when it is less than 1 C.

Suggested Citation

  • Xiaogang Wu & Zhe Chen & Zhiyang Wang, 2017. "Analysis of Low Temperature Preheating Effect Based on Battery Temperature-Rise Model," Energies, MDPI, vol. 10(8), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1121-:d:106632
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    References listed on IDEAS

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    2. Sun, Fengchun & Xiong, Rui & He, Hongwen, 2016. "A systematic state-of-charge estimation framework for multi-cell battery pack in electric vehicles using bias correction technique," Applied Energy, Elsevier, vol. 162(C), pages 1399-1409.
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    4. Ruan, Haijun & Jiang, Jiuchun & Sun, Bingxiang & Zhang, Weige & Gao, Wenzhong & Wang, Le Yi & Ma, Zeyu, 2016. "A rapid low-temperature internal heating strategy with optimal frequency based on constant polarization voltage for lithium-ion batteries," Applied Energy, Elsevier, vol. 177(C), pages 771-782.
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    Cited by:

    1. Jian, Jiting & Zhang, Zeping & Wang, Shixue & Gong, Jinke, 2023. "Analysis of control strategies in alternating current preheating of lithium-ion cell," Applied Energy, Elsevier, vol. 333(C).
    2. Rui Xiong & Hailong Li & Xuan Zhou, 2017. "Advanced Energy Storage Technologies and Their Applications (AESA2017)," Energies, MDPI, vol. 10(9), pages 1-3, September.
    3. Bingxiang Sun & Xianjie Qi & Donglin Song & Haijun Ruan, 2023. "Review of Low-Temperature Performance, Modeling and Heating for Lithium-Ion Batteries," Energies, MDPI, vol. 16(20), pages 1-37, October.
    4. Shanshan Guo & Zhiqiang Han & Jun Wei & Shenggang Guo & Liang Ma, 2022. "A Novel DC-AC Fast Charging Technology for Lithium-Ion Power Battery at Low-Temperatures," Sustainability, MDPI, vol. 14(11), pages 1-10, May.
    5. Wang, Yujie & Zhang, Xingchen & Chen, Zonghai, 2022. "Low temperature preheating techniques for Lithium-ion batteries: Recent advances and future challenges," Applied Energy, Elsevier, vol. 313(C).

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