对流传热对锂电池风冷热模型影响的数值模拟研究

IF 6.1 2区 工程技术 Q2 ENERGY & FUELS Applied Thermal Engineering Pub Date : 2024-08-28 DOI:10.1016/j.applthermaleng.2024.124220
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引用次数: 0

摘要

为了提高锂电池热模型的准确性,本研究基于 Zukauskas 提出的扫频在线罗布束法,研究了与温度相关的对流传热系数对电池空气冷却和散热模型的影响。通过计算和拟合 0.05 m/s、0.15 m/s、0.25 m/s 和 0.35 m/s 流速下对流传热系数与温度之间的关系,发现两者之间的关系非常复杂。利用锂电池的工作特性建立了电化学-热耦合模型,并通过等温热失控实验和最小二乘法优化建立了热失控反应动力学模型。然后将与温度相关的对流传热系数整合到这两个模型中。数值模拟显示,在正常放电过程中,当对流传热系数是温度的函数时,电池中的最大温差小于 1%,而当对流传热系数为常数时则小于 1%。然而,在高温热失控模型中,当流速为 0.05 米/秒和 0.15 米/秒时,与温度相关的对流换热系数对热失控临界参数的影响很小。当流速增加到 0.25 m/s 和 0.35 m/s 时,对热失控触发时间的影响分别为 17.34 % 和 18.07 %。实验验证和研究结果表明,高温热失控和热管理模型应考虑温度对对流传热系数的影响,以更准确地计算电池组内的对流传热,提高模型精度,降低热失控风险。
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Numerical simulation study on the impact of convective heat transfer on lithium battery air cooling thermal model

To enhance the accuracy of lithium battery thermal models, this study investigates the impact of temperature-dependent convective heat transfer coefficients on the battery’s air cooling and heat dissipation model, based on the sweeping in-line robs bundle method proposed by Zukauskas. By calculating and fitting the relationship between the convective heat transfer coefficient and temperature at flow rates of 0.05 m/s, 0.15 m/s, 0.25 m/s, and 0.35 m/s, it was found that the relationship is complex. An electrochemical-thermal coupling model was established using the operational characteristics of lithium batteries, and a thermal runaway reaction kinetics model was created using isothermal thermal runaway experiments and least squares optimization. The temperature-dependent convective heat transfer coefficient was then integrated into both models. Numerical simulations revealed that during normal discharge, the maximum temperature difference in the battery when the convective heat transfer coefficient is a function of temperature is less than 1 % compared to when it is constant. However, in the high-temperature thermal runaway model, the impact of temperature-dependent convective heat transfer coefficients on the thermal runaway critical parameters is minimal at flow rates of 0.05 m/s and 0.15 m/s. When the flow rate increases to 0.25 m/s and 0.35 m/s, the impact on the trigger time of thermal runaway is 17.34 % and 18.07 %, respectively. Experimental validation and research results indicate that the temperature effect on the convective heat transfer coefficient should be considered in high-temperature thermal runaway and thermal management models to calculate the convective heat transfer more accurately within the battery pack, improving model accuracy and reducing the risks of thermal runaway.

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来源期刊
Applied Thermal Engineering
Applied Thermal Engineering 工程技术-工程:机械
CiteScore
11.30
自引率
15.60%
发文量
1474
审稿时长
57 days
期刊介绍: Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application. The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.
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