期刊
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
卷 8, 期 1, 页码 288-297出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TTE.2021.3095288
关键词
Batteries; Integrated circuit modeling; Temperature distribution; Resistance heating; Heat transfer; Computational modeling; Couplings; Electro-thermal coupling; lithium-ion battery (LIB); temperature distribution; three-heat-source
资金
- National Natural Science Foundation of China [52075420]
- National Key Research and Development Program of China [2020YFB1708400]
- Shaanxi Key Research and Development Plan Industry Innovation Chain Project [2019ZDLGY15-04-01]
This article proposes a three-heat-source electro-thermal coupled model to quickly predict the temperature distribution in a battery cell. The parameters of the model are identified through experimental testing and parameterization. The results demonstrate that the proposed model can accurately estimate the temperature distribution of the battery cell.
Temperature inconsistency is inevitable during the battery operation, which has a significant impact on its performance. To quickly predict the temperature distribution in a battery cell, a three-heat-source electro-thermal coupled model is proposed in this article. The temperature of four feature regions in a battery cell can be determined in short time, which is potential to be implemented online. In addition, the distributed equivalent circuit model is proposed to calculate the heat generated by different heat sources. To identify the parameters of the electrical and thermal submodels, the experimental test bench is established, and the parameterizations under different conditions are carried out. In addition, the transient parameters, including the internal resistance and entropy coefficient, are adjusted with different state of charges (SOCs) and temperature. Finally, the validity and robustness of the proposed model are demonstrated through various tests of different operating conditions. The results illustrate that the uneven surface temperature distribution of the battery cell can be estimated fast, in less than 1 s. The error deviation of the proposed model is less than 1.4 degrees C under different conditions.
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