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Optimization method of battery cooling module: battery lifetime prediction using temperature.

Number: 2568

Author(s) : HAM S. H., JANG D. S., KIM Y.

Summary

With the growth of the renewable energy and electric vehicle market, the battery market is growing significantly. Lithium-ion batteries have many advantages such as longevity and specific output. However, lifespan, capacity, and stability of the lithium-ion batteries are greatly affected by its temperature and temperature gradient. In addition, a battery itself generates heat when in use. Accordingly, a battery must be stored and used at an optimum temperature.
Therefore, an effective battery thermal management system (BTMS) is to be developed to improve battery performance. The objective of this study is to predict the lifetime of the pouch type NMC battery according to the performance of the battery cooling module. In the cooling module, the cooling performance varies with respect to the cooling method and shape, and the performance may also vary significantly. To quantitatively compare the difference in cooling performance, the temperature and its gradient on the battery surface were converted into cooling performance parameter (CPP) and equivalent full cycle (EFC). The performance of the cooling module presented in previous studies was compared in terms of CPP and EFC. Finally, the design parameters were optimized to improve the lifespan of the pouch-type lithium-ion batteries.

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  • Original title: Optimization method of battery cooling module: battery lifetime prediction using temperature.
  • Record ID : 30030774
  • Languages: English
  • Subject: Technology
  • Source: 2022 Purdue Conferences. 19th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Publication date: 2022

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