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A reduced low-temperature electro-thermal coupled model for lithium-ion batteries

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  • Jiang, Jiuchun
  • Ruan, Haijun
  • Sun, Bingxiang
  • Zhang, Weige
  • Gao, Wenzhong
  • Wang, Le Yi
  • Zhang, Linjing

Abstract

A low-temperature electro-thermal coupled model, which is based on the electrochemical mechanism, is developed to accurately capture both electrical and thermal behaviors of batteries. Activation energies reveal that temperature dependence of resistances is greater than that of capacitances. The influence of frequency on polarization voltage and irreversible heat is discussed, and frequency dependence of polarization resistance and capacitance is obtained. Based on the frequency-dependent equation, a reduced low-temperature electro-thermal coupled model is proposed and experimentally validated under different temperature, frequency and amplitude conditions. Simulation results exhibit good agreement with experimental data, where the maximum relative voltage error and temperature error are below 2.65% and 1.79°C, respectively. The reduced model is demonstrated to have almost the same accuracy as the original model and require a lower computational effort. The effectiveness and adaptability of the proposed methodology for model reduction is verified using batteries with three different cathode materials from different manufacturers. The reduced model, thanks to its high accuracy and simplicity, provides a promising candidate for development of rapid internal heating and optimal charging strategies at low temperature, and for evaluation of the state of battery health in on-board battery management system.

Suggested Citation

  • Jiang, Jiuchun & Ruan, Haijun & Sun, Bingxiang & Zhang, Weige & Gao, Wenzhong & Wang, Le Yi & Zhang, Linjing, 2016. "A reduced low-temperature electro-thermal coupled model for lithium-ion batteries," Applied Energy, Elsevier, vol. 177(C), pages 804-816.
    • Handle: RePEc:eee:appene:v:177:y:2016:i:c:p:804-816
    DOI: 10.1016/j.apenergy.2016.05.153
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    Cited by:

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    4. Jiang, Jiuchun & Ruan, Haijun & Sun, Bingxiang & Wang, Leyi & Gao, Wenzhong & Zhang, Weige, 2018. "A low-temperature internal heating strategy without lifetime reduction for large-size automotive lithium-ion battery pack," Applied Energy, Elsevier, vol. 230(C), pages 257-266.
    5. Guo, Shanshan & Xiong, Rui & Wang, Kan & Sun, Fengchun, 2018. "A novel echelon internal heating strategy of cold batteries for all-climate electric vehicles application," Applied Energy, Elsevier, vol. 219(C), pages 256-263.
    6. Ghassemi, Alireza & Hollenkamp, Anthony F. & Chakraborty Banerjee, Parama & Bahrani, Behrooz, 2022. "Impact of high-amplitude alternating current on LiFePO4 battery life performance: Investigation of AC-preheating and microcycling effects," Applied Energy, Elsevier, vol. 314(C).
    7. Panchal, S. & Dincer, I. & Agelin-Chaab, M. & Fraser, R. & Fowler, M., 2016. "Experimental and simulated temperature variations in a LiFePO4-20Ah battery during discharge process," Applied Energy, Elsevier, vol. 180(C), pages 504-515.
    8. 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.
    9. Xia, L. & Najafi, E. & Li, Z. & Bergveld, H.J. & Donkers, M.C.F., 2017. "A computationally efficient implementation of a full and reduced-order electrochemistry-based model for Li-ion batteries," Applied Energy, Elsevier, vol. 208(C), pages 1285-1296.
    10. Geonhui Gwak & Hyunchul Ju, 2019. "Multi-Scale and Multi-Dimensional Thermal Modeling of Lithium-Ion Batteries," Energies, MDPI, vol. 12(3), pages 1-27, January.
    11. 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.
    12. Chengning Zhang & Xin Jin & Junqiu Li, 2017. "PTC Self-Heating Experiments and Thermal Modeling of Lithium-Ion Battery Pack in Electric Vehicles," Energies, MDPI, vol. 10(4), pages 1-21, April.
    13. Chen, Zeyu & Zhang, Bo & Xiong, Rui & Shen, Weixiang & Yu, Quanqing, 2021. "Electro-thermal coupling model of lithium-ion batteries under external short circuit," Applied Energy, Elsevier, vol. 293(C).
    14. Bizhong Xia & Zhen Sun & Ruifeng Zhang & Zizhou Lao, 2017. "A Cubature Particle Filter Algorithm to Estimate the State of the Charge of Lithium-Ion Batteries Based on a Second-Order Equivalent Circuit Model," Energies, MDPI, vol. 10(4), pages 1-15, April.
    15. Cai, Fengyang & Chang, Huawei & Yang, Zhengbo & Tu, Zhengkai, 2024. "Experimental study on self-heating strategy of lithium-ion battery at low temperatures based on bidirectional pulse current," Applied Energy, Elsevier, vol. 354(PB).
    16. Qin, Yudi & Du, Jiuyu & Lu, Languang & Gao, Ming & Haase, Frank & Li, Jianqiu & Ouyang, Minggao, 2020. "A rapid lithium-ion battery heating method based on bidirectional pulsed current: Heating effect and impact on battery life," Applied Energy, Elsevier, vol. 280(C).
    17. Ping, Ping & Wang, Qingsong & Chung, Youngmann & Wen, Jennifer, 2017. "Modelling electro-thermal response of lithium-ion batteries from normal to abuse conditions," Applied Energy, Elsevier, vol. 205(C), pages 1327-1344.
    18. Liang, Jialin & Gan, Yunhua & Tan, Meixian & Li, Yong, 2020. "Multilayer electrochemical-thermal coupled modeling of unbalanced discharging in a serially connected lithium-ion battery module," Energy, Elsevier, vol. 209(C).
    19. Guo, Shanshan & Yang, Ruixin & Shen, Weixiang & Liu, Yongsheng & Guo, Shenggang, 2022. "DC-AC hybrid rapid heating method for lithium-ion batteries at high state of charge operated from low temperatures," Energy, Elsevier, vol. 238(PB).
    20. Borui Wang & Mingyin Yan, 2023. "Research on the Improvement of Lithium-Ion Battery Performance at Low Temperatures Based on Electromagnetic Induction Heating Technology," Energies, MDPI, vol. 16(23), pages 1-24, November.
    21. He, Xitian & Sun, Bingxiang & Zhang, Weige & Su, Xiaojia & Ma, Shichang & Li, Hao & Ruan, Haijun, 2023. "Inconsistency modeling of lithium-ion battery pack based on variational auto-encoder considering multi-parameter correlation," Energy, Elsevier, vol. 277(C).

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