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14 October 2021 Research on fuzzy security evaluation of power battery system with thermal runaway test by GRA and entropy method
Yuanmao Li, Guixiong Liu, Yu Zhang
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Proceedings Volume 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation; 1193004 (2021) https://doi.org/10.1117/12.2611430
Event: International Conference on Mechanical Engineering, Measurement Control, and Instrumentation (MEMCI 2021), 2021, Guangzhou, China
Abstract
In order to evaluate the safety level of power battery system with thermal runaway test comprehensively and objectively, the gray correlation analysis method, entropy weight method and fuzzy theory are used to study the safety level of power battery system thermal runaway testing. By analyzing the key factors that affect the safety level of the thermal runaway test of the power battery system, the weight of different factors is considered based on the thermal runaway simulation test data of the power battery system. The grey relational analysis (GRA) and entropy weight method are used to determine the weight of the influence of different factors on the result of thermal runaway. Finally, by constructing the membership matrix, the fuzzy evaluation model is used to classify the safety of the thermal runaway test of the power battery system. The results show that the rating results of this method are consistent with the simulation test results of thermal runaway of the power battery system.
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Yuanmao Li, Guixiong Liu, and Yu Zhang "Research on fuzzy security evaluation of power battery system with thermal runaway test by GRA and entropy method", Proc. SPIE 11930, International Conference on Mechanical Engineering, Measurement Control, and Instrumentation, 1193004 (14 October 2021); https://doi.org/10.1117/12.2611430
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KEYWORDS
Fuzzy logic
Safety
Bismuth
Data modeling
Thermal modeling
Systems modeling
Analytical research
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