基于贝叶斯优化算法的锂离子电池等效导热系数测试方法

IF 3 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
Fang Wang, Ruihao Liu, Xiaole Ma, Yuxuan Zhang, Guangli Bai, Biao Ma, Danhua Li, Zhen Wei, Shiqiang Liu, Yueying Zhu
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引用次数: 0

摘要

导热系数是锂离子电池热管理系统设计、建模和仿真的关键热性能参数之一。准确测量导热系数有助于深入了解锂离子电池内部的传热行为,为优化电池设计、提高能量密度和提高安全性提供重要见解。本研究在加速量热计增强系统(ARC)中,采用恒压源对锂离子电池进行外部加热,获得了电池表面温度的变化数据。基于傅里叶一维热传导模型,计算了锂离子电池的平均比热容和垂直导热系数。此外,采用贝叶斯优化算法显著减少迭代次数,快速反演电池的面内导热系数。通过对比实验数据与仿真数据的一致性,验证了导热系数测量结果的准确性。结果表明,各温度测量点的实验数据与仿真数据的瞬态偏差不超过0.2℃,表明该方法具有较高的精度。此外,采用热盘法测量了锂离子电池的导热系数,以进行对比验证。结果表明,热盘数据的最大瞬态偏差为0.4℃,表明与热盘法相比,该方法具有更高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Lithium-ion battery equivalent thermal conductivity testing method based on Bayesian optimization algorithm

Lithium-ion battery equivalent thermal conductivity testing method based on Bayesian optimization algorithm

The thermal conductivity is one of the key thermal property's parameters in the design, modeling, and simulation of lithium-ion battery thermal management systems. Accurate measurement of thermal conductivity allows for a deep understanding of the heat transfer behavior inside lithium-ion batteries, providing essential insights for optimizing battery design, enhancing energy density, and improving safety. In this study, the surface temperature variation data of lithium-ion batteries were obtained by externally heating the batteries using a constant pressure source in an accelerating rate calorimeter enhanced system (ARC). Based on the Fourier one-dimensional heat conduction model, the average specific heat capacity and vertical thermal conductivity of the lithium-ion batteries were calculated. Additionally, the Bayesian optimization algorithm was employed to significantly reduce the number of iterations and rapidly invert the in-plane thermal conductivity of the batteries. The accuracy of the thermal conductivity measurement results was verified by comparing the consistency between experimental and simulation data. The results indicate that the transient deviation between experimental and simulation data at each temperature measurement point does not exceed 0.2 °C, demonstrating the high accuracy of the proposed method. Furthermore, the thermal conductivity of the lithium-ion battery was measured using the Hot Disk method for comparative validation. The results show that the maximum transient deviation of the Hot Disk data is 0.4 °C, indicating that compared to the Hot Disk method, the proposed method exhibits higher accuracy.

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来源期刊
CiteScore
8.50
自引率
9.10%
发文量
577
审稿时长
3.8 months
期刊介绍: Journal of Thermal Analysis and Calorimetry is a fully peer reviewed journal publishing high quality papers covering all aspects of thermal analysis, calorimetry, and experimental thermodynamics. The journal publishes regular and special issues in twelve issues every year. The following types of papers are published: Original Research Papers, Short Communications, Reviews, Modern Instruments, Events and Book reviews. The subjects covered are: thermogravimetry, derivative thermogravimetry, differential thermal analysis, thermodilatometry, differential scanning calorimetry of all types, non-scanning calorimetry of all types, thermometry, evolved gas analysis, thermomechanical analysis, emanation thermal analysis, thermal conductivity, multiple techniques, and miscellaneous thermal methods (including the combination of the thermal method with various instrumental techniques), theory and instrumentation for thermal analysis and calorimetry.
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