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Evaluation of External Short-Circuit Safety of NCM/C Li-Ion Power Battery under Different State of Health

CATARC-Chunjing Lin, Fang Wang, Bin Fan
Harbin Institute of Technology-Peixia Yang
  • Technical Paper
  • 2020-01-0454
To be published on 2020-04-14 by SAE International in United States
With the increasing frequency of fire incidents of electric vehicles, the safety of power batteries has attracted more and more attention. At present, the research on the safety of power batteries is mainly focused on fresh batteries. As the state of health of batteries deepens, how the safety of the battery evolves is not clear enough so far. This paper analyzes the external short-circuit safety of a NCM/C rectangular battery under different state of charges. The results show that when the cycle number is less than 800, the maximum temperature of the battery during short-circuit is below 130 °C. The main failure mode of the battery is bulging in volume or opening of the explosion-proof valve and there is no obvious regularity between the failure mode with the cycle life. However, when the cycle number reaches 1000, the battery goes into thermal runaway during the safety test. In specific, the explosion-proof valve opens, and a large amount of smoke is sprayed, and the surface temperature of the battery reaches 350 °C with obvious burn marks.…
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Thermal Uniformity of Pouch-Type Lithium Ion Batteries with NCM Cathode Materials under Different Operating Conditions

CATARC-Chunjing Lin, Yifan Liu, Jinjie Zhang, Liqiong Han, Bin Fan, Yunjun Luo, Fang Wang
Published 2019-04-02 by SAE International in United States
With the advantages of flexible size and high energy density etc., pouch-type lithium ion battery cells with large capacity have been found more and more applications in electric vehicles. For these large-scale battery cells, thermal uniformity is vital for their safety and cycle life. To be specific, temperature gradients are expected to cause different degradation rates of active materials in different areas, which is possible to cause early failure or even fire and explosion of the battery cell. Thus, it is necessary to illustrate the batterie’s thermal uniformity in detail under different operating conditions. This work investigated the thermal uniformity of two 36 Ah pouch-type NCM/C battery cells with different sizes using both the thermal imaging method and thermoelectric effect method with K-type thermocouples. Experimental results show that there is an obvious temperature gradient on the surface of the pouch-type battery cell. The temperature of the positive electrode is significantly higher than other regions, which denotes that cooling the electrodes could a possible and effective solution for battery thermal management system. The current rare and…
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An Adaptive Neuro-Fuzzy Inference System (ANFIS) Based Model for the Temperature Prediction of Lithium-Ion Power Batteries

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

China Automotive Technology and Research Center Co., Ltd. (CATARC)-Bin Fan, Chunjing Lin, Fang Wang, Shiqiang Liu, Lei Liu
Tongji University-Sichuan Xu
  • Journal Article
  • 07-12-01-0001
Published 2018-08-14 by SAE International in United States
Li-ion batteries have been widely applied in the areas of personal electronic devices, stationary energy storage system and electric vehicles due to their high energy/power density, low self-discharge rate and long cycle life etc. For the better designs of both the battery cells and their thermal management systems, various numerical approaches have been proposed to investigate the thermal performance of power batteries. Without the requirement of detailed physical and thermal parameters of batteries, this article proposed a data-driven model using the adaptive neuro-fuzzy inference system (ANFIS) to predict the battery temperature with the inputs of ambient temperature, current and state of charge. Thermal response of a Li-ion battery module was experimentally evaluated under various conditions (i.e. ambient temperature of 0, 5, 10, 15 and 20 °C, and current rate of C/2, 1C and 2C) to acquire the necessary data sets for model development and validation. A Sugeno-type ANFIS model was tuned using the obtained data. The numbers of input membership functions (MFs) representing the three input parameters of this model are 1, 2, 3, respectively.…
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